Parents searching for how to make predictions while reading, how to improve active reading, how to use before-during-after reading strategies, or English tuition in Punggol are usually dealing with a student who reads passively until a question appears.

Prediction makes reading interactive. Reading Rockets’ Directed Reading Thinking Activity asks readers to make predictions, read to confirm or refute them, and respond as new information appears. Its broader comprehension guidance also frames strategy use across before, during and after reading. Reading Rockets DRTA is a useful reference for this evidence-update cycle.

This guide is the reading-prediction owner inside the English Improvements In Punggol lane. It sits beneath Reading Comprehension and connects to Background Knowledge, Self-Questioning, and Inference and Evidence.

The 50-Second Parent Answer

Before reading, predict from title, topic and prior knowledge. During reading, pause when important evidence appears and ask whether the prediction still fits. After reading, compare prediction with what actually happened or what the text established.

The goal is not to be right. The goal is to notice evidence and update thinking.

Prediction Versus Guessing

A prediction uses evidence; a guess may not. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The title mentions a storm and the first paragraph describes dark clouds, so rain is plausible. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not praise unsupported guesses simply because they happen to be correct Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction as a Model

A prediction is a temporary explanation of what may come next. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The character may leave because the deadline is approaching. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not treat prediction as commitment Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Before-Reading Prediction

Titles, headings, images and topic knowledge can create initial expectations. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A passage titled Why Bees Matter likely discusses ecological roles. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not invent exact details before evidence appears Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

During-Reading Prediction

New evidence should change the model. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After learning the hive is threatened, predict the next section may discuss consequences. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not keep the original prediction automatically Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

After-Reading Review

The reader checks which predictions were confirmed or revised. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Initial prediction about danger was wrong; the text focused on cooperation. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not judge prediction quality only by correctness Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Title Clues

Titles can suggest topic, purpose or direction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: How Water Moves Through Plants suggests a process explanation. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not overread a creative title Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Heading Clues

Subheadings can narrow prediction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Causes of Erosion suggests upcoming causal information. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not ignore section structure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Image Clues

Relevant images can activate background knowledge. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A diagram of the water cycle suggests stages. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not infer unsupported facts from decorative images Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Caption Clues

Captions can give more precise information than images alone. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Caption identifies a glacier retreating over time. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not ignore text attached to visuals Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Opening Sentence Clues

First sentences often establish topic, conflict or question. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The gate is locked when Maya arrives, so access becomes a likely problem. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not predict a full plot from one detail Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Repeated Detail Clues

Repetition can signal future importance. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The text mentions the low battery twice. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not assume every repeated word predicts a dramatic event Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Character Goal Clues

A goal suggests likely next actions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The character wants to reach the office before five, so travel and delay become relevant. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not ignore changing goals Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Obstacle Clues

An obstacle changes likely outcomes. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The road closes, so the planned route may fail. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not predict an exact alternative without evidence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Rule Clues

Rules create future boundaries. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Registration closes Friday, so delay may matter. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not treat all stated rules as foreshadowing Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Cause-Effect Clues

A cause can suggest likely consequences. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Heavy rain may make transport slower. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: keep claim strength proportional Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Sequence Clues

Knowing the current stage helps predict the next. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After preparation, the procedure may move to execution. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not force a standard sequence if text signals otherwise Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Text Structure Clues

Structure helps anticipate information type. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Problem/solution text likely moves from issue to proposed response. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not predict content solely from structure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Genre Clues

Genre creates expectations. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A biography likely follows important life events; a procedure likely contains steps. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not let genre stereotypes override the actual text Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Narrative Clues

Stories provide goals, conflicts and patterns. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A promise introduced early may later be tested. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not turn every setup into a guaranteed payoff Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Informational Clues

Expository passages provide headings, definitions and logical relations. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After defining a problem, the next paragraph may explain causes. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not expect narrative tension Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Argument Clues

Claims and evidence can help predict counterarguments or conclusions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After presenting benefits, the author may address limitations. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not assume every argument follows the same structure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Question Clues

A paragraph may open with a question that guides the section. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Why does this happen? predicts explanation. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not answer before reading Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Contrast Clues

Words such as however can signal a change in direction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The next sentence may present a limitation or opposing point. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: predict function, not exact wording Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Example Clues

For example signals specific illustration after a general claim. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Expect a case or instance. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not confuse example with new main idea Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Definition Clues

A technical term followed by is or refers to predicts explanation. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The next phrase likely clarifies meaning. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not skip the definition because prediction seems obvious Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Background Knowledge

What the reader already knows can generate plausible expectations. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Knowing plants need water helps interpret a passage on roots. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: use background knowledge to support, not replace, text Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prior Topic Knowledge

Familiarity increases prediction quality. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A reader who knows weather systems can anticipate certain relationships. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not penalise unfamiliar readers for weaker initial predictions Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Vocabulary Knowledge

Known words help anticipate semantic direction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Words such as drought, shortage and scarcity suggest lack. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not rely on one word without context Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

World Knowledge

Everyday experience supports practical predictions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A closing shop creates time pressure. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not turn stereotypes into predictions Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Inference

Prediction projects forward; inference explains what is currently implied. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Inference: Ravi is worried. Prediction: he may seek help next. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not confuse current interpretation with future expectation Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Main Idea

A developing main idea constrains plausible next content. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: If the passage focuses on recycling benefits, the next paragraph likely remains related. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not predict unrelated tangents Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Cause-Effect

Causes can support future-outcome predictions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Road closure may redirect traffic. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not treat possibility as certainty Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Sequence

Current step helps anticipate the next stage. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After mixing ingredients, baking may follow. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: verify with actual text Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Compare-Contrast

One side of a comparison may predict treatment of the other. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After describing Option A by cost and access, the text may compare B on the same criteria. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not assume perfect symmetry Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Author Purpose

Purpose constrains likely content. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A persuasive text may build toward a call to action. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not predict emotional appeal if the passage remains informational Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Tone

Tone can signal likely direction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A cautious tone may precede limitations. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: support with language evidence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Foreshadowing

Narrative clues can prepare later events. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A damaged strap may later create trouble. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not convert foreshadowing into certainty Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Suspense

Suspense depends on multiple possible outcomes. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The reader predicts but remains uncertain. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not collapse suspense by insisting on one answer Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Self-Questioning

Questions improve active prediction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: What might happen if the gate closes? This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: avoid asking too many questions at every sentence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Annotation

A small margin note can record a prediction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: P: Ravi may confess. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not write full paragraphs in margins Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction and Note-Taking

Notes can track updates. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: P1, evidence, update. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: keep notes light enough to preserve reading flow Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Confirm Prediction

When new evidence supports the model, mark confirmation. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The next paragraph indeed explains consequences. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not stop reading carefully after being correct Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Revise Prediction

New evidence may require partial change. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The event is delayed, not cancelled. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: update scope Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Reject Prediction

Sometimes the prediction is wrong. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The hidden phone contains a surprise plan, not cheating evidence. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: treat revision as success, not failure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Split Prediction

Evidence may support two possibilities. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Ravi may be guilty or embarrassed. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: carry multiple hypotheses when justified Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Rank Predictions

Some possibilities are more plausible than others. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Weather delay is more likely than equipment failure based on evidence. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not assign false precision Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction Confidence

Readers can label confidence low, medium or high. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Title-only prediction low; repeated evidence high. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not confuse confidence with truth Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Confirmation Bias

Readers may notice only evidence that supports the first prediction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The character’s silence is interpreted as guilt despite contrary evidence. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: actively search for disconfirming clues Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Overprediction

Predicting after every sentence increases load. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Pause at meaningful boundaries. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not turn active reading into constant interruption Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Underprediction

Never anticipating direction can make reading passive. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Use titles, headings and turning points. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not predict only when teacher asks Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction From Stereotype

Background assumptions can mislead. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A strict teacher is not automatically unfair. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: return to textual evidence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction From One Clue

One clue may be too weak. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A glance at the clock does not guarantee lateness. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: look for pattern or mechanism Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction From Strong Pattern

Repeated clues increase plausibility. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Battery drops repeatedly and charger is missing. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: still preserve uncertainty Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction in Fiction

Focus on goal, conflict, motive and unresolved questions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Will the character admit the mistake? This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: avoid predicting every plot event Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction in Nonfiction

Focus on structure, explanations and examples. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After defining erosion, expect causes or effects. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not force story-style prediction Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction in Articles

Headings and topic sentences support section-level prediction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: A heading called Solutions suggests recommendations. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: use structure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction in Procedures

Steps create constrained next-action predictions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After preheating, mixing may precede baking. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not reorder actual instructions Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction in Biography

Chronology and milestones guide expectations. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After education, career may follow. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not invent life events Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction in Argument

Claim development can suggest evidence, counterargument or conclusion. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After a claim, evidence likely follows. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: verify rhetorical structure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Primary 3

Use picture, title and simple story-goal predictions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: What might happen next? Why? This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: always ask for evidence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Primary 4

Add during-reading updates. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Was your prediction still reasonable after paragraph three? This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not score only correct/incorrect Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Primary 5

Use evidence-ranked predictions. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Which clue makes one outcome more likely? This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: avoid pure guesswork Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Primary 6 and PSLE

Use prediction to support comprehension, not as a separate task. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Predict structure, then read for confirmation and answer questions precisely. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not spend exam time writing elaborate predictions Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Secondary 1

Predict paragraph function and argument direction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Definition may lead to example or cause. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: use headings and discourse markers Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Secondary 2

Carry competing interpretations. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Two motives remain possible until more evidence appears. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: update actively Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Secondary 3

Evaluate author moves. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After acknowledging a limitation, predict rebuttal or qualification. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: support from structure Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Secondary 4 and SEC Readiness

Use prediction for complex inference and multi-source reading. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Anticipate counterpoints, evidence types and structural shifts. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not overcommit Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

DRTA Cycle

Directed Reading Thinking Activity formalises prediction and revision. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Predict, read, confirm/refute, discuss. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: focus on thinking process rather than correctness Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Prediction Log

A simple table can record evidence, prediction and update. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Evidence | Prediction | Update. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not make the log longer than the reading Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Stop Points

Pause at natural boundaries. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: After title, after key paragraph, before reveal. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not interrupt every sentence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Evidence Column

Record the clue supporting each prediction. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Low battery supports possible communication problem. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not write predictions without evidence Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Update Column

Record what changed. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Prediction revised after new message. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: celebrate revision Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Before-During-After Frame

Before activates knowledge, during updates, after reflects. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Use one question at each stage. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not apply every strategy to every text Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

The Why-This-Prediction Test

Ask why this is plausible. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Evidence should be named. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not accept because I think so Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

The What-Would-Change-It Test

Ask what new evidence would make you revise. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: This trains flexible models. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not cling to initial answer Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

The Competing-Hypothesis Test

Ask what else could explain the clue. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Silence may mean guilt, worry or distraction. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not create unlimited possibilities Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

The Prediction-to-Question Test

Turn prediction into a reading purpose. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: I predict transport problems; read to see whether transport becomes central. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not detach prediction from comprehension Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

The End Review

After reading, compare initial and final understanding. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: What changed and why? This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not ask only whether prediction was right Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Three-Student Tutorial

Student A makes prediction, Student B finds supporting evidence, Student C searches for disconfirming evidence. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Rotate roles. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not let group reinforce one guess Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Ninety-Minute Lesson

Ten minutes title/background; fifteen evidence-based predictions; fifteen stop points; fifteen revise/reject; ten competing hypotheses; ten comprehension questions; ten reflection; five transfer. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: The lesson trains updating, not fortune-telling. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not spend the whole lesson guessing endings Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Weekly Practice

Monday title prediction; Tuesday heading prediction; Wednesday narrative prediction; Thursday nonfiction structure; Friday update log; weekend unfamiliar text. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Vary text types. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not practise only stories Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Parent Practice

Ask what you think will happen or come next, what clue makes you think so, and what new information would change your mind. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Those three questions train flexible prediction. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not praise being right more than revising well Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Progress Metrics

Track unsupported guesses, prediction evidence, revision frequency, confirmation bias and comprehension accuracy. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Improvement means predictions become better supported and easier to update. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not judge by prediction hit rate alone Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Mastery

A student has prediction control when unfamiliar texts trigger plausible evidence-based expectations that are revised without resistance as the text develops. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Prediction becomes a tool for attention and monitoring. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: do not confuse certainty with skill Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Final Principle

Prediction is disciplined anticipation, not guessing. Reading prediction is the practice of using title, structure, background knowledge and textual evidence to anticipate what may come next, then revising that prediction as new information appears. Strong readers treat predictions as temporary models, not guesses they must defend.

Example: Use what the text gives you, form a temporary model, read on, and update when evidence changes. This works because the prediction comes from evidence and remains open to revision. The reader notices what the text suggests now, reads further, then confirms, adjusts or rejects the prediction based on new information.

Repair principle: Good readers predict; better readers revise. Use the cycle evidence → prediction → reading → update. A prediction without evidence is guessing; a prediction that never changes becomes confirmation bias. The point is to keep comprehension active.

Read Next on eduKate Punggol

Continue with Reading Comprehension, Background Knowledge, Self-Questioning, and Inference and Evidence.