Note-taking is the purposeful selection, representation, and preservation of information for understanding, memory, and later use. Effective notes serve at least two learning functions: producing them can direct attention and organize meaning during an explanation, and reviewing them can restore access to information after the explanation ends. The strongest practical principle is to treat notes as material for active learning rather than as a complete transcript. How students produce, review, test, and use their notes determines whether records become durable knowledge. This distinction is supported by research on the encoding and external-storage functions of notes, including quantitative syntheses across different instructional conditions Kiewra, 1989; Kobayashi, 2005; Kobayashi, 2006a.
The familiar question of whether handwritten, typed, Cornell, outline, or visual notes are best has a conditional answer. In a 2024 meta-analysis of 24 studies from 21 articles, handwriting plus review was associated with higher achievement than typing plus review among college students, with a small average standardized effect (Hedges' g = 0.248), while typing generated substantially more note text (g = 0.919). Yet a preregistered direct replication of a celebrated handwriting experiment failed to reproduce a clear immediate learning advantage for handwriting. These results can coexist because their comparisons, assessments, and opportunities to study notes differ Flanigan et al., 2024; Urry et al., 2021.
What Makes Note-Taking a Learning Strategy?
A note-taking method is a repeatable procedure for identifying relevant information, encoding relationships, preserving a useful record, and revisiting that record to retrieve or apply knowledge. The method may prescribe page layout, abbreviations, visual diagrams, digital organization, or question prompts. These features are means of directing thought; their educational value has to be established through learning outcomes. A method can produce neat pages without improving delayed recall, and unpolished notes may be useful when they preserve an accurate chain of reasoning. Research therefore compares comprehension and retention rather than visual appearance or student preference alone Kiewra, 1989; Dunlosky et al., 2013.
Encoding during learning
Encoding refers to the contribution made by taking notes while material is presented, even when notes are never consulted again. Recording a definition can support attention; selecting a causal relationship can require interpretation; reorganizing an argument can prompt integration with previous knowledge. These activities compete with the demands of listening, reading, and following explanations. A meta-analysis of 57 comparisons found a modest overall encoding advantage, with differences associated with presentation modality, the format of the subsequent test, and publication characteristics. The effect was more readily detected on recall tasks than on recognition or higher-order measures. This establishes a qualified benefit of the activity under studied conditions rather than a guarantee that more writing always produces more learning Kobayashi, 2005.
External storage and later review
The external-storage function consists of the preserved information available after instruction. Notes can supply an organized reconstruction of a lecture, examples omitted from slides, or questions that identify gaps. In a synthesis of 33 studies, the combination of taking and reviewing notes yielded substantial benefits compared with no corresponding note-taking and review. Interventions using frameworks or instructor-provided notes could be more beneficial than general verbal advice, especially for less advanced learners. The comparison is important: combined effects cannot be attributed exclusively to writing because later access to useful information forms part of the intervention Kobayashi, 2006a.
Generative processing, selection, and cognitive load
Generative note-taking asks learners to select essential information, organize related propositions, and connect new ideas with what they already know. These processes are plausible learning mechanisms that can be encouraged by short paraphrases, examples, causal diagrams, and questions. However, generation imposes effort, and a learner unfamiliar with the material may need instructor-supplied scaffolding before attempting elaborate notes. An overloaded student can miss the next important statement while still writing the previous one. The instructional challenge is to balance meaningful transformation with accurate information capture Fiorella and Mayer, 2015; Kobayashi, 2006a.
How Scientists Evaluate Note-Taking Methods
Scientific comparisons distinguish the note-taking activity from the material subsequently available for study. Some experiments assign students to handwritten or typed notes, block access to notes, and test immediate comprehension. Others allow review and test delayed memory. Still others compare guided notes, completed notes, or note-taking templates. These designs ask different questions. When a study finds that one method improves post-review achievement, the result may reflect both how notes were made and how informative the notes are when reviewed. A well-designed evaluation specifies the comparator, timing, assessment, student population, and whether the experimental groups received equal review time Luo et al., 2018; Flanigan et al., 2024.
Achievement is also multidimensional. Immediate factual recall measures accessibility soon after exposure; delayed recall examines persistence; conceptual questions test understanding; transfer tasks ask whether knowledge can be used in a changed context. Lecture-quiz scores, course examinations, and authentic performance are related outcomes but cannot be treated as interchangeable. A statistical difference may be educationally small, and a pooled mean may hide differences among students, disciplines, instructional formats, and opportunities to review. The 2024 handwriting meta-analysis reports a small average effect, not a universal individual advantage Flanigan et al., 2024.
Handwritten Versus Typed Notes: What the Evidence Shows
The original longhand hypothesis
Mueller and Oppenheimer's 2014 experiments attracted attention because students using laptops often captured more lecture material verbatim and, in their experiments, performed worse on conceptual questions than students using longhand notes. The proposed mechanism was that the greater speed of typing encouraged transcription at the expense of conceptual transformation. The original studies are evidence for a hypothesis in specific experimental conditions, including limits on the opportunity for subsequent note review. Transcription rates and conceptual performance are related observations; establishing a full causal pathway requires demonstrating that the assumed intermediary process actually explains the effect Mueller and Oppenheimer, 2014.
Replication and mixed findings
Urry and colleagues directly replicated the first original experiment in 2021, randomly assigning 74 participants to laptops and 68 to longhand notes. Laptop users wrote more and reproduced more lecture wording. Nonetheless, the study did not find superior immediate quiz performance for longhand note-takers. Exploratory mini-meta-analyses of eight related studies showed a similar lack of clear support for an immediate encoding advantage of handwriting. Longer notes correlated with better performance, whereas associations between verbatim overlap and poorer scores were less robust. The replication therefore weakens a simple inference from writing medium to immediate understanding, while leaving open other effects of review and study conditions Urry et al., 2021.
What the larger quantitative synthesis adds
Flanigan and colleagues' 2024 meta-analysis combined 24 studies reported in 21 articles on college note-taking. When the activity and subsequent review were considered, the pooled achievement estimate favored handwriting by g = 0.248, while typing produced substantially more words, g = 0.919. The association is meaningful as an average across included studies, yet it is small for achievement and depends on the evidence set and interventions examined. Differences in experimental designs, study opportunities, devices, students, and outcome measures remain relevant when interpreting any general recommendation. One should not present the review as proving that paper works best in every subject or that keyboard-based learning is intrinsically ineffective Flanigan et al., 2024.
A separate 2020 quantitative review compared handwriting and electronic note-taking outcomes. Earlier experiments also distinguish taking notes without review from studying those notes afterward, a distinction that matters for the medium comparison. Together, the literature supports conditional decisions: paper can be a sensible default for conceptual lecture processing, whereas a keyboard can aid students who need speed, searchable archives, or accessible input. The goal remains understanding and usable recall, assessed under the conditions in which the student actually learns Allen et al., 2020; Luo et al., 2018.
Medium, distraction, and accessibility are distinct factors
A laptop's ability to open messages or unrelated websites creates an attention problem separable from its use for composing notes. In an experimental simulated classroom, students who multitasked on laptops performed worse than those who remained on task; nearby peers exposed to multitasking screens also showed poorer performance. Such findings support managing off-task activity, not an inference that accessible digital note-taking itself harms learning. Digital zoom, caption integration, assistive typing, collaboration, and searchable notes can be important supports. An evidence-sensitive classroom approach considers the learner's access needs and the difference between productive writing and competing tasks Sana et al., 2013.
Cornell Notes and Structured Cue-Based Review
The Cornell format commonly divides a page into a main note area, a narrow cue or question column, and a summary section. During instruction the learner records central claims, definitions, and examples. Afterward, the learner formulates questions or cues, summarizes major relationships, and uses the prompts to recover information without looking at full explanations. Its potential value lies in the sequence of selection, organization, and deliberate review; the ruled page itself is an organizational aid. This interpretation is consistent with theories of generative learning and with evidence that review improves the usefulness of notes Fiorella and Mayer, 2015; Kobayashi, 2006a.
In a randomized study published online in January 2026, 134 prospective primary-school teachers were assigned to Cornell, parallel/two-column, digital, or sentence-style notes during a five-week intervention. Corrected pairwise comparisons showed a retention advantage only for Cornell versus sentence notes, and there were no significant post-test pairwise differences. The time-by-group interaction was nonsignificant, so the result does not establish that Cornell notes systematically reduce forgetting over time. Motivation scores rose in Cornell and parallel groups, and the digital method was associated with lower perceived cognitive load, but neither observation establishes the mechanism of a retention effect. The study provides useful experimental evidence with a restricted sample and intervention context Yıldırım, 2026.
Outline, Sentence, and Mapping Methods
Outline notes
An outline represents topic hierarchy: a central claim, supporting arguments, evidence, qualifications, and examples. This format is useful when instruction follows a recognizable structure, such as a historical explanation or a textbook chapter. A student can assign headings as the argument develops and add brief explanations underneath. The potential advantage is that relationships become visible and gaps can be detected. A poorly matched outline, however, can force nonlinear material into a misleading hierarchy. Outcome claims for the outline format alone are much narrower than the general evidence for taking and reviewing useful notes; organizational plausibility should be distinguished from method-specific experimental proof Kiewra, 1989; Kobayashi, 2006a.
Sentence notes and selective paraphrasing
Sentence notes capture statements in the order they occur. They are easy to begin and can preserve details, but continuous transcription may obscure conceptual relations or consume attention. A stronger sentence-based practice identifies the proposition that matters, paraphrases it accurately, and connects it to a worked example or explanatory question. Technical terms, mathematical definitions, and quotations sometimes require exact wording; an effective method does not force paraphrasing where precision would be lost. The scientific issue is whether the student can later reconstruct the explanation and use it on an assessment, rather than whether every sentence has been rewritten Mueller and Oppenheimer, 2014; Urry et al., 2021.
Concept maps, comparison tables, and matrices
A concept map puts entities and relations in visible proximity, while a matrix organizes comparable items across shared dimensions. These approaches can assist instruction involving contrasts, processes, and systems, such as comparing research methods or tracing a biological mechanism. A matrix may make missing examples and inconsistent categories apparent. Mapping requires choosing accurate relations; attractive diagrams can still encode conceptual errors. Studies of review behaviors discussed in the established note-taking literature suggest that organized matrices can support access to previously encountered information, although the optimal representation depends on subject matter and student preparation Kiewra, 1989.
Guided Notes, Instructor Outlines, and Completed Notes
Guided notes provide a partial organizational scaffold, often with key headings, examples, or blank spaces for active completion. Their educational purpose is to preserve the lecture's conceptual structure while leaving meaningful decisions for the student. In the 2006 meta-analytic review, provision of a framework or instructor notes was more helpful for enhancing learning than generic pre-training or verbal guidance, with larger intervention advantages in lower educational levels. This outcome supports the idea that scaffolding can protect learners from losing essential content while they practice note-taking skills Kobayashi, 2006a.
A 2020 systematic review of 22 studies of guided notes in adult learning populations reported positive learner perceptions and benefits in some knowledge domains, particularly where content was complex. The evidence does not support the claim that guided notes always outperform every alternative or that completion blanks alone guarantee engagement. Studies vary by disciplinary content, comparison condition, modality, and assessment. Guided notes may work particularly well when teachers give a coherent framework while preserving opportunities for explanations and examples that the learner must reconstruct independently Biggers and Luo, 2020.
When teachers should supply complete notes
Providing full notes can help a student recover missed content, verify terminology, and redirect attention toward complex explanations. For other students, fully completed handouts may encourage passive reading and offer fewer prompts to organize ideas. The tradeoff is an empirical question that depends on how the materials are used and how success is measured. For students with sensory, motor, language, or attention-related access needs, accurate instructor materials can be an essential accommodation. Accessibility should be evaluated according to the learner's functional requirements; method rankings drawn from typical college samples are insufficient grounds to withhold necessary supports Kiewra, 1989; Biggers and Luo, 2020.
Reviewing Notes for Long-Term Retention
The value of an archive is realized through use. A review session can begin by reconstructing the main thesis, identifying connections, locating omissions, and comparing the notes with source material. Simply rereading the same familiar page may produce a sense of fluency without establishing later independent access. Evidence from the larger learning-strategy literature gives practice testing and distributed practice stronger cross-context support than repeated rereading. These are independently studied memory interventions, and the present article concerns how notes can become inputs to those practices without claiming ownership of their separate theoretical explanations Dunlosky et al., 2013.
A productive review sequence is to read a note section once, hide the explanation, answer a question generated from the heading or cue, and then inspect the source for errors. After correction, revisit the same concept on a later day. The question may ask for a definition, causal mechanism, comparison, or application rather than an isolated phrase. Notes that only collect facts may need additional examples and links between propositions before they are useful for problem solving. The empirical foundation of reviewing notes is found in combined note-taking and review studies, while retrieval and distributed review contribute evidence about testing and time intervals Kobayashi, 2006a; Dunlosky et al., 2013.
Note Quality: Completeness, Accuracy, and Structure
Note length is an incomplete measure of quality. Long transcripts preserve detail but may contain irrelevant material and weak conceptual organization; very short notes can miss essential propositions and examples. A useful record supports future reconstruction of an explanation: central ideas are correct, crucial connections are explicit, examples are linked to their principles, and ambiguous phrases can be resolved. Studies comparing typed and handwritten notes show that producing a greater volume of text does not by itself settle achievement differences. The goal is to preserve both the meaning and the information necessary for later study Luo et al., 2018; Flanigan et al., 2024.
Verbatim notes are not uniformly poor. Chemical symbols, the precise terms of an equation, statutory language, or an author's exact definition may require faithful copying. Conversely, an explanation of why an experiment supports a hypothesis often benefits from a concise paraphrase. The most useful notes can combine exact terminology with learner-generated interpretations. Where understanding is incomplete, marking a question is more accurate than writing a confident but incorrect summary. This approach follows the generative-learning principle of meaningful selection without treating effortless copying and effortful paraphrasing as a universal binary Fiorella and Mayer, 2015.
Subject-Specific and Age-Related Differences
Mathematics, science, and worked examples
Mathematical and scientific lessons often require preserving intermediate reasoning steps, diagrams, assumptions, units, and typical errors. A student who records only a final formula may lack the conceptual context needed to use it. A student who copies every calculation may have little time to understand why each step follows. For these subjects, structured notes can link a problem condition to the selected principle, the operation, and an explanation of what would change under a new condition. Such a strategy is a theoretically coherent implementation of meaningful organization, with effectiveness requiring subject-specific educational evaluation Fiorella and Mayer, 2015; Dunlosky et al., 2013.
Reading-heavy subjects and conceptual synthesis
History, literature, and social sciences often involve competing interpretations, evidence, dates, and causal chains. Comparison matrices and nested outlines can keep claims linked to sources; question columns can prompt a student to justify each interpretation. Notes from assigned reading may offer opportunities for self-pacing that live lectures do not. Because students can stop, reread, or inspect the page, recording every sentence may be especially inefficient. Meta-analytic evidence on encoding identifies presentation modality as one moderator: note-taking demands cannot be separated from how information arrives Kobayashi, 2005.
Younger learners, multilingual students, and adults
Less experienced students may need explicit modeling of how to recognize main ideas, abbreviate accurately, and turn a page of notes into questions. Language proficiency and familiarity with subject vocabulary may determine how much of an explanation can be processed while taking notes. Adult learners may bring stronger background knowledge but face different time and digital-access constraints. A 2025 multilevel meta-analysis in second-language learning, using 55 effect sizes from 27 studies, found that effects varied by intervention type, measurement, input mode, and proficiency. This research is specific to second-language input and should not be used as a universal effect estimate for all subjects Norouzian et al., 2025.
Notes in Digital and Online Learning
Digital notes have genuine affordances: text search, cross-references, collaborative annotation, linking to source documents, and easy correction. A stylus can also reproduce handwriting-like sketches on a screen. These affordances are design opportunities rather than independently established retention gains. Online learners face variable conditions: captioned lectures can be paused, recordings replayed, and materials revisited. These features can reduce transcription pressure but also encourage deferring meaningful processing indefinitely. The scientific question is what the learner subsequently explains, remembers, and applies, not how sophisticated the note-taking platform appears Luo et al., 2018; Flanigan et al., 2024.
Automatic transcription and generative-AI summaries create an additional distinction: possession of a record versus construction of personal understanding. A correct transcript may be valuable for access and verification, but its availability is not evidence that the learner can reconstruct the lesson. Generated summaries can omit conditions, misrepresent claims, or invent material. A defensible procedure is to compare the output with the original source, correct errors, annotate unclear reasoning, and create independent questions or examples. Evidence about human note-taking cannot establish the educational effectiveness, reliability, or privacy of a specific AI summarization product; those require direct evaluations of the relevant system, population, and learning task. These recommendations arise from established principles of review and generation, while claims about particular tools remain preliminary Kiewra, 1989; Dunlosky et al., 2013.
Student notes can contain sensitive educational information, identifiable peer comments, personal reflections, or classroom recordings. Educational institutions should consider permission to record, retention limits, access controls, data minimization, and the terms of any third-party processing service before using automatic note generation. A convenient workflow is insufficient justification for uploading classmates' identifiable content. These are governance considerations; this article does not make an empirical claim that any named platform meets a particular privacy standard.
When Note-Taking Becomes Counterproductive
Notes may hinder learning when production consumes so much attention that explanation, demonstration, or feedback is missed. The danger is particularly apparent in rapid lectures and visually demanding lessons, where drawing and listening compete for limited processing capacity. A 2005 synthesis observed that visual presentation could interfere with the note-taking process, underscoring the need to coordinate attention and capture demands. An appropriate response may be to use concise headings, teacher-provided skeletal notes, diagrams distributed after the explanation, or pauses for completion rather than requiring continuous detailed transcription Kobayashi, 2005.
Another failure arises from equating the amount of recorded material with learning. Note-taking apps may reward word counts, elaborate tagging, or aesthetically polished pages. None of these are direct tests of long-term recall or transfer. The solution is to make the record answerable: identify what a student should be able to explain from memory and evaluate that ability later. Where a student cannot answer without viewing the note, the record remains useful storage but the intended knowledge has not yet become independently available Dunlosky et al., 2013.
An Evidence-Informed Note-Taking Workflow
Before the lesson: prepare the cognitive framework
Preview the learning objectives and key terminology. Create a small number of headings or cue questions, leaving room for unexpected examples and revisions. If a class is particularly fast or information dense, obtain an authorized lecture outline or accessible support materials. This step can reduce the need to invent a whole structure while listening and reflects evidence that helpful frameworks can enhance combined note-taking and review, particularly for less experienced learners Kobayashi, 2006a.
During the lesson: capture meaning and preserve precision
Record the main question, the answer offered, reasons or evidence, and the example that makes the relation intelligible. Use abbreviations only if they remain interpretable later. Preserve exact symbols and definitions where necessary; paraphrase explanatory transitions where doing so maintains accuracy. Mark uncertainty visibly so it can be checked with the instructor or primary materials. A learner using a laptop can close unrelated applications and use headings or a structured template to limit automatic transcription; a learner using pen and paper can prioritize comprehension over filling the page Mueller and Oppenheimer, 2014; Urry et al., 2021.
After the lesson: repair and interrogate the record
Soon after instruction, check missing terms, correct mistaken claims, and attach the required context. Turn each substantial section into a question that would require explaining the underlying idea; write at least one application or contrast when the material supports it. The immediate purpose is to produce a trustworthy, learnable record. A student may also consult an instructor-provided version to identify important information that was missed. The larger evidence base supports organizing and reviewing notes, with the added benefit of question-driven work supported by practice-testing research Kiewra, 1989; Kobayashi, 2006a; Dunlosky et al., 2013.
On later days: use notes as prompts for independent performance
Cover a note explanation and answer its corresponding cue; solve a variation of a worked example without copying the solution; reconstruct a concept map from a blank sheet; or explain a comparison aloud. Then reveal the record, identify errors, and revisit difficult items over time. This procedure turns stored information into occasions for learning and measurement. The timing and benefits of repeated retrieval and spaced study have their own established research literatures; note-taking contributes the carefully organized prompts and corrections that make those practices feasible Dunlosky et al., 2013.
Evidence Quality, Uncertainty, and Research Gaps
The established conclusion is that useful notes plus review can support learning, and that the mere volume of notes is an inadequate measure of mastery. Evidence is more conditional when the question is which single page layout, writing instrument, or application outperforms every alternative. Several sources of uncertainty matter: small classroom experiments may use convenience samples; assessment schedules vary; students differ in prior knowledge and typing proficiency; compliance with note instructions is inconsistent; and some studies evaluate note volume rather than delayed use. Meta-analyses broaden the evidence base but cannot erase differences in underlying interventions. A pooled estimate also cannot guarantee a particular result for a learner Kobayashi, 2005; Flanigan et al., 2024.
The evidence for note-taking templates is mixed and method-specific. One meta-analysis of interventions in the procedures used to take notes reported an overall mean weighted effect of d = 0.02 across 17 studies and found moderators involving school level, whereas analyses combining note-taking with later review yielded a more favorable picture for framework supports. Those findings should be interpreted together rather than selecting one result to declare all guided methods effective or ineffective. Different treatments, comparisons, and phases of learning can generate different answers Kobayashi, 2006b; Kobayashi, 2006a.
New studies should use preregistered designs, adequate samples, equal access to reviewed material, clearly defined retention intervals, representative school populations, and outcomes that include conceptual understanding and transfer. Researchers should report missing data, variability, effect sizes, and potential publication bias. Comparisons of AI-assisted notes should separately test accuracy of the record, active student engagement, delayed individual performance, accessibility, and the handling of learner data. These criteria express the methodological requirements for a convincing claim rather than a forecast of what future experiments will find.
Frequently Asked Questions
What is the best note-taking method for studying?
There is no single method with established superiority across learners, subjects, and assessments. A defensible starting point is structured, selective notes that can be reviewed through questions. Cornell notes suit cue-based review; outlines suit hierarchical explanations; diagrams and matrices suit relationships and comparisons. Method choice should be guided by accurate capture, manageable effort, access needs, and demonstrable later recall. Comparisons among formats remain more conditional than the combined evidence for taking and reviewing useful notes Kobayashi, 2006a; Yıldırım, 2026.
Do handwritten notes improve memory more than typed notes?
The 2024 college-student meta-analysis found a small average achievement advantage for taking and reviewing handwritten notes, while typing produced longer notes. A 2021 direct replication, however, did not establish superior immediate learning for handwriting in a no-review setting. These findings address different conditions. Students should consider the nature of the material, review opportunities, digital distraction, and accommodations rather than treating the choice as an absolute rule Flanigan et al., 2024; Urry et al., 2021.
Is the Cornell method scientifically proven?
Cornell notes have plausible mechanisms and some encouraging controlled evidence. In the 2026 randomized study of prospective teachers, only the Cornell-versus-sentence comparison was significant at retention after correction, and the overall interaction did not demonstrate different forgetting trajectories across methods. The result supports a qualified preference in that study, not a universal proof of superiority Yıldırım, 2026.
Should students rewrite their notes after class?
Rewriting may be useful when it corrects errors, establishes relationships, or generates testable questions. Neatly recopying every sentence can also consume study time without measuring understanding. A stronger criterion is whether the revised notes help a learner answer meaningful questions later without looking. Combined note-review evidence and systematic comparisons of learning techniques support active engagement over reliance on the appearance of familiarity Kobayashi, 2006a; Dunlosky et al., 2013.
Can AI-generated notes replace student note-taking?
AI-generated notes can provide a draft record or accessibility aid, but their existence does not demonstrate that an individual has learned the contents. Errors and omissions need source checking; students need opportunities to explain and retrieve the ideas independently. Direct intervention evidence is required before making general claims about a specific AI note-taking system's effects on delayed retention or transfer. The distinction between external storage and internal knowledge remains central Kiewra, 1989; Dunlosky et al., 2013.
Conclusion
Effective note-taking joins accurate representation with meaningful processing and deliberate later use. The broad evidence supports notes as tools for encoding and external storage, especially when learners review and question the material. Handwriting has a small average advantage in a recent college meta-analysis, yet replication research rejects a universal immediate encoding benefit. Cornell, outline, sentence, matrix, guided, and digital systems each solve different practical problems, with method-specific evidence varying in strength. The durable educational outcome is the ability to reconstruct and use ideas independently of the page Kobayashi, 2005; Flanigan et al., 2024; Urry et al., 2021.
Related Articles
Cluster Learning and Educational Psychology — The foundational scientific chapter on the acquisition, regulation, and instruction of learning.
Elaboration and Self-Explanation: How Explaining Builds Understanding — How reorganizing ideas and explaining mechanisms supports conceptual learning.
Interleaving Practice: When Mixing Subjects Improves Learning — Research on organizing practice across topics and discriminating among concepts.
Retrieval Practice: Why Testing Yourself Improves Memory — The distinct evidence base for recalling information without access to notes.
Spaced Repetition: How the Spacing Effect Supports Long-Term Memory — The separate canonical treatment of distributed learning and retention.
Deliberate Practice in Skill Learning: Expertise, Feedback, and Limits — Examine purposeful repetition, corrective feedback, expertise, and contested estimates of practice effects.
Learning from Mistakes: Error Correction and Productive Failure — Study error generation, corrective feedback, productive failure, instructional timing, and educational outcomes.
References
Allen, M., LeFebvre, L., LeFebvre, L., and Bourhis, J. (2020). Is the pencil mightier than the keyboard? A meta-analysis comparing the method of notetaking outcomes. Southern Communication Journal, 85(3), 143–154. https://doi.org/10.1080/1041794X.2020.1764613
Biggers, B., and Luo, T. (2020). Guiding students to success: A systematic review of research on guided notes as an instructional strategy from 2009–2019. Journal of University Teaching and Learning Practice, 17(3). https://doi.org/10.53761/1.17.3.12
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., and Willingham, D. T. (2013). Improving students' learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. https://doi.org/10.1177/1529100612453266
Fiorella, L., and Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychology Review, 28, 717–741. https://doi.org/10.1007/s10648-015-9348-9
Flanigan, A. E., Wheeler, J., Colliot, T., Lu, J., and Kiewra, K. A. (2024). Typed versus handwritten lecture notes and college student achievement: A meta-analysis. Educational Psychology Review, 36, Article 78. https://doi.org/10.1007/s10648-024-09914-w
Kiewra, K. A. (1989). A review of note-taking: The encoding-storage paradigm and beyond. Educational Psychology Review, 1, 147–172. https://doi.org/10.1007/BF01326640
Kobayashi, K. (2005). What limits the encoding effect of note-taking? A meta-analytic examination. Contemporary Educational Psychology, 30(2), 242–262. https://doi.org/10.1016/j.cedpsych.2004.10.001
Kobayashi, K. (2006a). Combined effects of note-taking/-reviewing on learning and the enhancement through interventions: A meta-analytic review. Educational Psychology, 26(3), 459–477. https://doi.org/10.1080/01443410500342070
Kobayashi, K. (2006b). Conditional effects of interventions in note-taking procedures on learning: A meta-analysis. Japanese Psychological Research, 48(2), 109–114. https://doi.org/10.1111/j.1468-5884.2006.00311.x
Luo, L., Kiewra, K. A., Flanigan, A. E., and Peteranetz, M. S. (2018). Laptop versus longhand note taking: Effects on lecture notes and achievement. Instructional Science, 46, 947–971. https://doi.org/10.1007/s11251-018-9458-0
Mueller, P. A., and Oppenheimer, D. M. (2014). The pen is mightier than the keyboard: Advantages of longhand over laptop note taking. Psychological Science, 25(6), 1159–1168. https://doi.org/10.1177/0956797614524581
Norouzian, R., Jin, Z., and Webb, S. (2025). Increasing meta-analytic quality: A multivariate multilevel meta-analysis of note-taking through exposure to L2 input. The Modern Language Journal. https://doi.org/10.1111/modl.12985
Sana, F., Weston, T., and Cepeda, N. J. (2013). Laptop multitasking hinders classroom learning for both users and nearby peers. Computers and Education, 62, 24–31. https://doi.org/10.1016/j.compedu.2012.10.003
Urry, H. L., et al. (2021). Don't ditch the laptop just yet: A direct replication of Mueller and Oppenheimer's (2014) Study 1 plus mini meta-analyses across similar studies. Psychological Science, 32(3), 326–339. https://doi.org/10.1177/0956797620965541
Yıldırım, M. (2026). The effects of note-taking methods on lasting learning: The role of motivation and cognitive load. Frontiers in Psychology, 16, Article 1697151. https://doi.org/10.3389/fpsyg.2025.1697151