Annotation¶

Strategy · All strategies
Evidence · 3 claims (1 for, 2 mixed) · 6 studies (3 causal, 2 quant-synthesis, 1 review), q2–q4 · 3 of 6 report an effect size · 1 claim rests on one study

Description¶

Annotation asks learners to actively mark up a source — highlighting, underlining, margin notes, questions, summaries, or links to prior knowledge — rather than reading or viewing it passively. It can be learner-generated (students create the annotations) or instructor-provided (expert annotations scaffold the reading), and applies to text, images, code, and video.

Design Implications¶

Annotation works because it is a generative activity: transforming and elaborating on material forces learners to select what matters and connect it to what they know, producing better recall and comprehension than passive reading Generative processing improves learning from text. [+M]. However, the quality of the annotation matters more than its presence: highlighting alone is one of the weakest study strategies when used without additional processing Highlighting and rereading are among the least effective study techniques. [~M]. Instructor-provided annotations can scaffold novice readers, but learners who construct their own annotations generally learn more than those who only read ones supplied to them Experimenter-provided underlining is no more effective than student-generated underlining. [~W].

Context¶

Requirements¶

• A source worth annotating — dense, information-rich material where selection and elaboration pay off
• Explicit guidance on what to annotate and how (e.g., "mark claims vs. evidence," "write a question in the margin every paragraph"), since unguided annotation often degenerates into indiscriminate highlighting
• A follow-up use for the annotations — discussion, writing, or exam preparation — so the work has a purpose (Practice)

Constraints¶

• Undirected highlighting is near-useless or harmful: learners highlight too much, mistake fluency of marking for understanding, and overestimate later memory for highlighted text Highlighting and rereading are among the least effective study techniques. [-M]
• Annotation adds cognitive load; for novices with high-extraneous-load material, the marking task can compete with comprehension rather than support it Cognitive load theory: guidance for managing instructional load. [~M]
• Less effective when the text is simple or short enough that elaboration is redundant

Implementation Variability¶

• Learner-generated: students highlight, summarize, question, or diagram in margins; strongest for building comprehension monitoring
• Instructor-provided: expert annotations model expert reading of a difficult text; useful as a Demonstration of disciplinary reading practices
• Collaborative/social: shared annotation layers (e.g., Perusall, Hypothesis) make reading visible to peers and support Collaborative Learning
• Multimedia annotation: commenting on video timelines or code lines extends the strategy beyond prose

Target Learners¶

• Intermediate learners with enough prior knowledge to judge what is important; complete novices often cannot discriminate key from peripheral content and benefit more from instructor-provided annotations Learner-constructed graphic organizers outperform provided ones only when learners have adequate prior knowledge. [~M]
• Students developing disciplinary reading practices (e.g., first-year undergraduates reading primary literature)
• Less beneficial for learners who already have fluent, self-regulated reading strategies, for whom required annotation is redundant

Target Learning Goals¶

• Comprehension and retention of complex texts Generative processing improves learning from text. [+M]
• Metacognitive monitoring: margin questions and confusion notes surface comprehension gaps
• Close reading and argument analysis: distinguishing claims, evidence, and assumptions

Instructions¶

1. Select a rich source and define an annotation scheme (what counts as a highlight, note, question, or connection).
2. Model the scheme by annotating a short excerpt publicly — a Think-Aloud of expert reading (Demonstration).
3. Have students annotate independently or in shared annotation layers, keeping the scheme visible.
4. Build a follow-on task that uses the annotations: seminar discussion, synthesis writing, or peer review of each other's annotations (Active Learning).
5. Gradually loosen the scheme as students internalize the reading practices (Fading).

Related Strategies¶

• Summarization — a summary is a whole-text annotation; both are generative processing strategies
• Close Reading — annotation is the primary tool of close reading routines
• Peer Review — annotating a peer's work is a common peer-review format

Examples¶

• Perusall — social annotation platform where students collectively annotate course readings; the platform scores annotation quality and threads discussion in the margins.
• Hypothesis — open web annotation used in many LMS courses for collaborative marginalia on public texts.
• Annotated primary literature in introductory biology (e.g., Science in the Classroom) — instructor-provided annotations scaffold novices through research articles, modeling expert reading before students annotate unannotated papers.

Key Sources¶

• Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students' learning with effective learning techniques. Psychological Science in the Public Interest, 14(1), 4–58. doi:10.1177/1529100612453266
• Ponce, H. R., Mayer, R. E., & Méndez, E. E. (2022). Effects of learner-generated highlighting and instructor-provided highlighting on learning from text: A meta-analysis. Educational Psychology Review, 34, 989–1024. doi:10.1007/s10648-021-09654-1
• Chi, M. T. H., de Leeuw, N., Chiu, M.-H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18(3), 439–477. doi:10.1207/s15516709cog1803_3
• Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychology Review, 28(4), 717–741. doi:10.1007/s10648-015-9348-9