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December 29, 2025
The pretesting effect shows that testing students before they learn new material enhances subsequent learning, even when initial answers are wrong, offering teachers a powerful priming strategy.
Testing students on material they haven't yet learned might seem counterproductive. Why quiz pupils on content they're bound to get wrong? Yet a growing body of research reveals something unexpected: unsuccessful retrieval attempts before learning actually enhance how well students acquire and retain new information. This counterintuitive finding, known as the pretesting effect, suggests that errors made in the right context don't hinder learning; they prepare the mind for it.
The implications for classroom practice are substantial. In 2025, as educators seek evidence-based strategies to strengthen student learning, pretesting emerges as a simple, low-stakes intervention that requires minimal preparation yet produces meaningful gains. Unlike the testing effect, which focuses on retrieving already-learned material, the pretesting effect concerns what happens when learners attempt to answer questions about material they haven't encountered.
Key Takeaways
The pretesting effect, also called the prequestioning effect or errorful generation effect, refers to the finding that taking a test before learning new information leads to stronger memory and understanding of that information than simply studying without pretesting. Crucially, this benefit occurs even when, indeed especially when, learners answer pretest questions incorrectly.
Consider a typical demonstration: one group of students takes a short quiz on a topic they haven't yet studied, getting most answers wrong. A second group spends the same time doing an unrelated activity. Both groups then receive identical instruction on the topic. When tested afterwards, the pretested group consistently outperforms the control group, despite their initial errors.
This phenomenon challenges traditional assumptions about learning. The errorless learning tradition, influenced by behaviourist psychology, held that exposing learners to errors would reinforce those mistakes. Pretesting research reveals a different picture: when errors are followed by corrective information, they can actually enhance rather than hinder learning.
The term "pretesting effect" gained prominence following influential studies by Richland, Kornell, and Kao in 2009, though related findings appeared in earlier educational psychology research from the 1960s and 1970s. Recent years have seen a surge of interest, with researchers investigating boundary conditions, underlying mechanisms, and practical applications.
Understanding the pretesting effect requires distinguishing it from related phenomena in the learning sciences.
The well-established testing effect concerns how retrieving learned information strengthens memory for that information. When students successfully recall material on practice tests, this act of retrieval enhances later retention compared to restudying. The testing effect depends on successful retrieval of previously learned material.
The pretesting effect operates differently. Here, retrieval attempts occur before learning, when correct retrieval is impossible. Students generate guesses, typically incorrect ones. Yet subsequent learning is enhanced. The mechanisms must therefore differ from those underlying the standard testing effect.
Manu Kapur's research on productive failure examines how initial struggle with problems before instruction can enhance learning, particularly for complex conceptual material. While related to pretesting, productive failure typically involves more extended problem-solving attempts and emphasises the role of generating multiple solution strategies.
Pretesting studies often use simpler materials, such as definitions, facts, or short-answer questions, and focus specifically on the effects of test-like retrieval attempts. The overlap between these literatures is substantial, but they emerged from different research traditions and emphasise different aspects of "learning from errors."
Robert Bjork's concept of desirable difficulties provides a broader framework for understanding pretesting. Desirable difficulties are learning conditions that feel harder but produce more durable, transferable learning. Pretesting fits within this framework: the initial struggle and errors create difficulty that ultimately serves learning.
Researchers have proposed several mechanisms to explain why unsuccessful retrieval attempts enhance subsequent learning. These explanations aren't mutually exclusive; multiple processes likely contribute to the effect.
One prominent explanation holds that pretesting directs attention toward incoming information. When students attempt to answer questions and discover they cannot, they become alert to the answers when they subsequently encounter the material. The pretest essentially highlights what they don't know, creating a mental "need to know" that focuses attention during learning.
Supporting this account, studies have found that pretesting reduces mind wandering during lectures and video presentations. Students who take pretests report higher attention levels during subsequent instruction. This attentional focusing may be particularly valuable in contexts prone to distraction.
Related to attention, pretesting may activate curiosity. When students generate a guess and await confirmation or correction, they become invested in learning the answer. This curiosity provides motivation that enhances encoding of the correct information.
Information presented as an answer to a question one has already contemplated may be processed more deeply than the same information presented without such priming. The learner's mind is already engaged with the relevant conceptual territory.
Attempting to answer a pretest question activates related knowledge in long-term memory. Even when the correct answer isn't retrieved, semantically related concepts become active. This activation creates a richer network of associations into which the correct answer can be integrated when encountered.
When a student tries to recall the capital of Australia and guesses "Sydney," they activate knowledge about Australian geography, major cities, and related concepts. When they later learn that Canberra is the capital, this information connects to an already-active network rather than arriving in a relatively inactive mind.
Errors may enhance learning precisely because they're corrected. The discrepancy between what one believed (the incorrect guess) and reality (the correct answer) creates what some researchers call a prediction error signal. This signal may trigger enhanced attention and deeper processing of the corrective information.
The neuroscience of prediction error learning suggests that the brain is particularly attentive to information that violates expectations. An error followed by correction provides exactly this kind of expectation violation, potentially explaining why pretested items are remembered better.
Pretesting may help learners develop appropriate mental frameworks or schemas for organising incoming information. By considering what they might already know or how information might be structured, learners create cognitive scaffolding that supports subsequent learning.
This account emphasises that pretesting isn't merely about individual question-answer pairs but about preparing the mind for a domain of knowledge.
The pretesting effect has been demonstrated across diverse materials, settings, and populations.
In controlled laboratory experiments, pretesting consistently produces learning benefits compared to control conditions. Richland, Kornell, and Kao's foundational 2009 study found that reading passages accompanied by pretests led to better final test performance than reading alone, even for questions students initially answered incorrectly.
Subsequent studies have replicated and extended these findings using word pairs, trivia facts, scientific texts, and educational videos. The effect appears robust across different materials and test formats.
Critically, pretesting effects have also been demonstrated in authentic educational settings. Pan, Sana, and colleagues (2020) found that pretesting reduced mind wandering and enhanced learning from online lectures among university students.
A recent study by Hausman and Kornell (2023) examined pretesting in a university course over an entire academic semester. Students who were pretested on lecture content performed better on final exams than those who weren't, and importantly, the benefits extended beyond the specific pretested items to related material.
These classroom findings suggest the pretesting effect isn't merely a laboratory curiosity but a practically applicable instructional strategy.
Recent meta-analyses have synthesised findings across many studies. These analyses confirm that pretesting produces a reliable, moderate-sized benefit for learning. The effect is larger when feedback is provided than when it isn't, and the benefits persist over delayed testing.
While pretesting generally enhances learning, several factors moderate its effectiveness.
Perhaps the most critical moderator is whether learners receive corrective feedback after pretesting. Without feedback, pretesting benefits are substantially reduced or eliminated. Learners need to encounter the correct answers to benefit from their initial guessing.
This requirement has practical implications: pretests should be low-stakes activities where correct answers are subsequently provided, not high-stakes assessments where errors go uncorrected.
Research suggests that immediate feedback following pretests may be more effective than delayed feedback, though some studies find pretesting benefits even with delays. When practical, providing correct answers shortly after pretest attempts maximises the potential for learning enhancement.
Some research suggests pretesting benefits are largest when the format of the pretest matches the format of the final assessment. If students will eventually take a short-answer test, short-answer pretests may be more effective than multiple-choice pretests.
However, substantial benefits have been found even when formats differ, so format matching shouldn't be considered essential.
Students with some relevant background knowledge may benefit more from pretesting than complete novices. Some prior knowledge provides material for the activation and search processes that support pretesting benefits. Complete novices may have no relevant knowledge to activate.
That said, pretesting benefits have been found even with novel material where prior specific knowledge is minimal. The activation of general schemas and frameworks may still occur.
Pretests that are moderately challenging, generating some errors but not complete failure, may be optimal. If pretests are too easy, they may not activate the mechanisms that drive pretesting benefits. If too difficult, students may disengage or become frustrated.
Use brief pretests at the beginning of lessons to prime students for incoming content. A few questions about today's topic, before any instruction begins, can activate relevant prior knowledge and focus attention.
These pretests should be framed as "thinking warm-ups" or "curious about what you already know" activities rather than graded assessments. The goal is activating minds, not evaluating knowledge.
Before students read textbook chapters or other texts, provide questions they should consider while reading. These function as pretests even if students don't formally record answers. The questions prime reading comprehension by highlighting what's important and creating purpose for reading.
Before showing educational videos or delivering lectures, present students with questions the content will address. Students attempt to answer before watching or listening. Research specifically supports this application, showing reduced mind wandering and enhanced learning.
Design homework that includes questions on upcoming topics alongside review of previous material. When students encounter questions they can't yet answer, they're being primed for the next lesson.
At the start of new units, give students a preview quiz covering material the unit will address. Collect the quizzes without grading, then return them at unit's end for students to see their growth. This approach leverages pretesting while also providing motivating evidence of learning.
Before introducing new concepts through direct instruction, pose open questions that invite speculation. "Why do you think volcanoes are more common in some places than others?" Even incorrect speculation activates the mind for subsequent explanation.
Teachers reasonably worry that exposing students to errors will reinforce those mistakes. Research consistently shows otherwise: when errors are followed by corrective feedback, learning is enhanced, not hindered. The key is ensuring correction follows errors.
This finding applies to neurotypical learners. For some students with specific learning differences, errorless learning approaches may remain appropriate. Teachers should consider individual student needs.
Students may indeed find pretests initially frustrating if they expect to succeed and don't. Framing matters enormously. Present pretests as "brain priming" activities designed to get minds ready, not as assessments of what students should already know.
When students understand that getting answers wrong is expected and helpful, frustration typically diminishes. Consider sharing research on the pretesting effect with older students; metacognitive understanding of learning strategies enhances their effectiveness.
Pretesting effects have been demonstrated across subjects including science, history, language learning, and more. The effect appears general rather than subject-specific. However, implementation may vary; what constitutes effective pretests will differ by content area.
Pretests should be brief. A few minutes of priming provides substantial benefits without consuming significant instructional time. Three to five questions before a lesson or video is typically sufficient.
The pretesting effect joins other evidence-based strategies, including spaced practice, retrieval practice, and interleaving, as tools for enhancing learning. These strategies share common features: they introduce productive difficulties that feel harder in the moment but produce more durable learning.
Understanding why these strategies work helps teachers implement them effectively and explain them to students. When learners understand the purpose behind instructional choices, they're more likely to engage fully.
Pretesting offers particular advantages in ease of implementation. Unlike some evidence-based strategies that require substantial restructuring of curriculum or teaching practice, pretesting can be incorporated incrementally with minimal disruption to existing approaches. A teacher can begin tomorrow by simply asking a few questions before introducing new content.
While most students benefit from pretesting, some find error-making particularly aversive. Creating classroom cultures where errors are normalised and valued supports both pretesting effectiveness and broader learning goals.
Discuss the role of errors in learning explicitly. Share examples of successful people who learned from mistakes. Model comfortable responses to your own errors. These classroom community practices support pretesting while also promoting healthy academic mindsets more broadly.
For students with significant anxiety about errors, introduce pretesting gradually and ensure framing emphasises the learning function rather than the assessment function. As students experience pretesting benefits without negative consequences, comfort typically increases.
Pretesting works well in combination with other evidence-based approaches.
Use pretests before instruction, then follow instruction with retrieval practice on the same material. This combination provides both priming benefits and consolidation benefits.
After pretests reveal what students don't know, instruction can explicitly address misconceptions and build on whatever relevant knowledge students demonstrated. This personalised elaboration enhances the value of pretest information.
Return to pretested material at spaced intervals, providing opportunities for retrieval practice that builds on the initial priming. The combination of pretesting and spaced practice may produce particularly durable learning.
The research base on pretesting continues to grow. These foundational and recent papers offer deeper insight into the phenomenon and its applications.
This influential paper demonstrated that taking a test on reading passage content before reading enhanced later memory, even for questions answered incorrectly on the pretest. The researchers showed that this effect went beyond attention-directing to include genuine enhancement of memory encoding. This paper sparked renewed interest in pretesting and established the basic paradigm used in subsequent research.
This comprehensive review synthesises findings from over 60 studies on prequestioning and pretesting. Pan and colleagues provide a three-stage framework for understanding underlying mechanisms, discuss moderating factors, and address practical implications for education. Essential reading for understanding the current state of pretesting research.
This study demonstrated pretesting benefits in a particularly challenging learning context: online video lectures. Students who answered pretest questions showed reduced mind wandering and better final test performance. The findings have obvious relevance for digital learning environments where maintaining attention is often difficult.
This classroom study tracked pretesting effects over a full semester in a university course. The researchers found that pretesting enhanced exam performance not only for pretested items but also for related, non-pretested material. These findings demonstrate that pretesting benefits transfer to authentic educational settings with real academic consequences.
This recent study examined how feedback timing and test timing influence pretesting effects. Results showed that pretesting benefits persisted even with delayed feedback and delayed testing, though immediate feedback produced larger effects. The findings suggest pretesting is robust across conditions commonly encountered in real educational settings.
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Testing students on material they haven't yet learned might seem counterproductive. Why quiz pupils on content they're bound to get wrong? Yet a growing body of research reveals something unexpected: unsuccessful retrieval attempts before learning actually enhance how well students acquire and retain new information. This counterintuitive finding, known as the pretesting effect, suggests that errors made in the right context don't hinder learning; they prepare the mind for it.
The implications for classroom practice are substantial. In 2025, as educators seek evidence-based strategies to strengthen student learning, pretesting emerges as a simple, low-stakes intervention that requires minimal preparation yet produces meaningful gains. Unlike the testing effect, which focuses on retrieving already-learned material, the pretesting effect concerns what happens when learners attempt to answer questions about material they haven't encountered.
Key Takeaways
The pretesting effect, also called the prequestioning effect or errorful generation effect, refers to the finding that taking a test before learning new information leads to stronger memory and understanding of that information than simply studying without pretesting. Crucially, this benefit occurs even when, indeed especially when, learners answer pretest questions incorrectly.
Consider a typical demonstration: one group of students takes a short quiz on a topic they haven't yet studied, getting most answers wrong. A second group spends the same time doing an unrelated activity. Both groups then receive identical instruction on the topic. When tested afterwards, the pretested group consistently outperforms the control group, despite their initial errors.
This phenomenon challenges traditional assumptions about learning. The errorless learning tradition, influenced by behaviourist psychology, held that exposing learners to errors would reinforce those mistakes. Pretesting research reveals a different picture: when errors are followed by corrective information, they can actually enhance rather than hinder learning.
The term "pretesting effect" gained prominence following influential studies by Richland, Kornell, and Kao in 2009, though related findings appeared in earlier educational psychology research from the 1960s and 1970s. Recent years have seen a surge of interest, with researchers investigating boundary conditions, underlying mechanisms, and practical applications.
Understanding the pretesting effect requires distinguishing it from related phenomena in the learning sciences.
The well-established testing effect concerns how retrieving learned information strengthens memory for that information. When students successfully recall material on practice tests, this act of retrieval enhances later retention compared to restudying. The testing effect depends on successful retrieval of previously learned material.
The pretesting effect operates differently. Here, retrieval attempts occur before learning, when correct retrieval is impossible. Students generate guesses, typically incorrect ones. Yet subsequent learning is enhanced. The mechanisms must therefore differ from those underlying the standard testing effect.
Manu Kapur's research on productive failure examines how initial struggle with problems before instruction can enhance learning, particularly for complex conceptual material. While related to pretesting, productive failure typically involves more extended problem-solving attempts and emphasises the role of generating multiple solution strategies.
Pretesting studies often use simpler materials, such as definitions, facts, or short-answer questions, and focus specifically on the effects of test-like retrieval attempts. The overlap between these literatures is substantial, but they emerged from different research traditions and emphasise different aspects of "learning from errors."
Robert Bjork's concept of desirable difficulties provides a broader framework for understanding pretesting. Desirable difficulties are learning conditions that feel harder but produce more durable, transferable learning. Pretesting fits within this framework: the initial struggle and errors create difficulty that ultimately serves learning.
Researchers have proposed several mechanisms to explain why unsuccessful retrieval attempts enhance subsequent learning. These explanations aren't mutually exclusive; multiple processes likely contribute to the effect.
One prominent explanation holds that pretesting directs attention toward incoming information. When students attempt to answer questions and discover they cannot, they become alert to the answers when they subsequently encounter the material. The pretest essentially highlights what they don't know, creating a mental "need to know" that focuses attention during learning.
Supporting this account, studies have found that pretesting reduces mind wandering during lectures and video presentations. Students who take pretests report higher attention levels during subsequent instruction. This attentional focusing may be particularly valuable in contexts prone to distraction.
Related to attention, pretesting may activate curiosity. When students generate a guess and await confirmation or correction, they become invested in learning the answer. This curiosity provides motivation that enhances encoding of the correct information.
Information presented as an answer to a question one has already contemplated may be processed more deeply than the same information presented without such priming. The learner's mind is already engaged with the relevant conceptual territory.
Attempting to answer a pretest question activates related knowledge in long-term memory. Even when the correct answer isn't retrieved, semantically related concepts become active. This activation creates a richer network of associations into which the correct answer can be integrated when encountered.
When a student tries to recall the capital of Australia and guesses "Sydney," they activate knowledge about Australian geography, major cities, and related concepts. When they later learn that Canberra is the capital, this information connects to an already-active network rather than arriving in a relatively inactive mind.
Errors may enhance learning precisely because they're corrected. The discrepancy between what one believed (the incorrect guess) and reality (the correct answer) creates what some researchers call a prediction error signal. This signal may trigger enhanced attention and deeper processing of the corrective information.
The neuroscience of prediction error learning suggests that the brain is particularly attentive to information that violates expectations. An error followed by correction provides exactly this kind of expectation violation, potentially explaining why pretested items are remembered better.
Pretesting may help learners develop appropriate mental frameworks or schemas for organising incoming information. By considering what they might already know or how information might be structured, learners create cognitive scaffolding that supports subsequent learning.
This account emphasises that pretesting isn't merely about individual question-answer pairs but about preparing the mind for a domain of knowledge.
The pretesting effect has been demonstrated across diverse materials, settings, and populations.
In controlled laboratory experiments, pretesting consistently produces learning benefits compared to control conditions. Richland, Kornell, and Kao's foundational 2009 study found that reading passages accompanied by pretests led to better final test performance than reading alone, even for questions students initially answered incorrectly.
Subsequent studies have replicated and extended these findings using word pairs, trivia facts, scientific texts, and educational videos. The effect appears robust across different materials and test formats.
Critically, pretesting effects have also been demonstrated in authentic educational settings. Pan, Sana, and colleagues (2020) found that pretesting reduced mind wandering and enhanced learning from online lectures among university students.
A recent study by Hausman and Kornell (2023) examined pretesting in a university course over an entire academic semester. Students who were pretested on lecture content performed better on final exams than those who weren't, and importantly, the benefits extended beyond the specific pretested items to related material.
These classroom findings suggest the pretesting effect isn't merely a laboratory curiosity but a practically applicable instructional strategy.
Recent meta-analyses have synthesised findings across many studies. These analyses confirm that pretesting produces a reliable, moderate-sized benefit for learning. The effect is larger when feedback is provided than when it isn't, and the benefits persist over delayed testing.
While pretesting generally enhances learning, several factors moderate its effectiveness.
Perhaps the most critical moderator is whether learners receive corrective feedback after pretesting. Without feedback, pretesting benefits are substantially reduced or eliminated. Learners need to encounter the correct answers to benefit from their initial guessing.
This requirement has practical implications: pretests should be low-stakes activities where correct answers are subsequently provided, not high-stakes assessments where errors go uncorrected.
Research suggests that immediate feedback following pretests may be more effective than delayed feedback, though some studies find pretesting benefits even with delays. When practical, providing correct answers shortly after pretest attempts maximises the potential for learning enhancement.
Some research suggests pretesting benefits are largest when the format of the pretest matches the format of the final assessment. If students will eventually take a short-answer test, short-answer pretests may be more effective than multiple-choice pretests.
However, substantial benefits have been found even when formats differ, so format matching shouldn't be considered essential.
Students with some relevant background knowledge may benefit more from pretesting than complete novices. Some prior knowledge provides material for the activation and search processes that support pretesting benefits. Complete novices may have no relevant knowledge to activate.
That said, pretesting benefits have been found even with novel material where prior specific knowledge is minimal. The activation of general schemas and frameworks may still occur.
Pretests that are moderately challenging, generating some errors but not complete failure, may be optimal. If pretests are too easy, they may not activate the mechanisms that drive pretesting benefits. If too difficult, students may disengage or become frustrated.
Use brief pretests at the beginning of lessons to prime students for incoming content. A few questions about today's topic, before any instruction begins, can activate relevant prior knowledge and focus attention.
These pretests should be framed as "thinking warm-ups" or "curious about what you already know" activities rather than graded assessments. The goal is activating minds, not evaluating knowledge.
Before students read textbook chapters or other texts, provide questions they should consider while reading. These function as pretests even if students don't formally record answers. The questions prime reading comprehension by highlighting what's important and creating purpose for reading.
Before showing educational videos or delivering lectures, present students with questions the content will address. Students attempt to answer before watching or listening. Research specifically supports this application, showing reduced mind wandering and enhanced learning.
Design homework that includes questions on upcoming topics alongside review of previous material. When students encounter questions they can't yet answer, they're being primed for the next lesson.
At the start of new units, give students a preview quiz covering material the unit will address. Collect the quizzes without grading, then return them at unit's end for students to see their growth. This approach leverages pretesting while also providing motivating evidence of learning.
Before introducing new concepts through direct instruction, pose open questions that invite speculation. "Why do you think volcanoes are more common in some places than others?" Even incorrect speculation activates the mind for subsequent explanation.
Teachers reasonably worry that exposing students to errors will reinforce those mistakes. Research consistently shows otherwise: when errors are followed by corrective feedback, learning is enhanced, not hindered. The key is ensuring correction follows errors.
This finding applies to neurotypical learners. For some students with specific learning differences, errorless learning approaches may remain appropriate. Teachers should consider individual student needs.
Students may indeed find pretests initially frustrating if they expect to succeed and don't. Framing matters enormously. Present pretests as "brain priming" activities designed to get minds ready, not as assessments of what students should already know.
When students understand that getting answers wrong is expected and helpful, frustration typically diminishes. Consider sharing research on the pretesting effect with older students; metacognitive understanding of learning strategies enhances their effectiveness.
Pretesting effects have been demonstrated across subjects including science, history, language learning, and more. The effect appears general rather than subject-specific. However, implementation may vary; what constitutes effective pretests will differ by content area.
Pretests should be brief. A few minutes of priming provides substantial benefits without consuming significant instructional time. Three to five questions before a lesson or video is typically sufficient.
The pretesting effect joins other evidence-based strategies, including spaced practice, retrieval practice, and interleaving, as tools for enhancing learning. These strategies share common features: they introduce productive difficulties that feel harder in the moment but produce more durable learning.
Understanding why these strategies work helps teachers implement them effectively and explain them to students. When learners understand the purpose behind instructional choices, they're more likely to engage fully.
Pretesting offers particular advantages in ease of implementation. Unlike some evidence-based strategies that require substantial restructuring of curriculum or teaching practice, pretesting can be incorporated incrementally with minimal disruption to existing approaches. A teacher can begin tomorrow by simply asking a few questions before introducing new content.
While most students benefit from pretesting, some find error-making particularly aversive. Creating classroom cultures where errors are normalised and valued supports both pretesting effectiveness and broader learning goals.
Discuss the role of errors in learning explicitly. Share examples of successful people who learned from mistakes. Model comfortable responses to your own errors. These classroom community practices support pretesting while also promoting healthy academic mindsets more broadly.
For students with significant anxiety about errors, introduce pretesting gradually and ensure framing emphasises the learning function rather than the assessment function. As students experience pretesting benefits without negative consequences, comfort typically increases.
Pretesting works well in combination with other evidence-based approaches.
Use pretests before instruction, then follow instruction with retrieval practice on the same material. This combination provides both priming benefits and consolidation benefits.
After pretests reveal what students don't know, instruction can explicitly address misconceptions and build on whatever relevant knowledge students demonstrated. This personalised elaboration enhances the value of pretest information.
Return to pretested material at spaced intervals, providing opportunities for retrieval practice that builds on the initial priming. The combination of pretesting and spaced practice may produce particularly durable learning.
The research base on pretesting continues to grow. These foundational and recent papers offer deeper insight into the phenomenon and its applications.
This influential paper demonstrated that taking a test on reading passage content before reading enhanced later memory, even for questions answered incorrectly on the pretest. The researchers showed that this effect went beyond attention-directing to include genuine enhancement of memory encoding. This paper sparked renewed interest in pretesting and established the basic paradigm used in subsequent research.
This comprehensive review synthesises findings from over 60 studies on prequestioning and pretesting. Pan and colleagues provide a three-stage framework for understanding underlying mechanisms, discuss moderating factors, and address practical implications for education. Essential reading for understanding the current state of pretesting research.
This study demonstrated pretesting benefits in a particularly challenging learning context: online video lectures. Students who answered pretest questions showed reduced mind wandering and better final test performance. The findings have obvious relevance for digital learning environments where maintaining attention is often difficult.
This classroom study tracked pretesting effects over a full semester in a university course. The researchers found that pretesting enhanced exam performance not only for pretested items but also for related, non-pretested material. These findings demonstrate that pretesting benefits transfer to authentic educational settings with real academic consequences.
This recent study examined how feedback timing and test timing influence pretesting effects. Results showed that pretesting benefits persisted even with delayed feedback and delayed testing, though immediate feedback produced larger effects. The findings suggest pretesting is robust across conditions commonly encountered in real educational settings.
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