Highlight and Explore Patterns, Critical Features, Big Ideas, and Relationships¶

Strategy · All strategies
Evidence · 5 claims (3 for, 1 mixed, 1 against) · 12 studies (5 causal, 5 review, 1 quant-synthesis, 1 theoretical), q1–q4 · 1 of 12 report an effect size · 2 claims rest on one study

Description¶

This strategy directs learner attention to the features, patterns, and organizing ideas that matter most for the learning goal, and makes relationships between concepts explicit. It combines signaling (visual or verbal cues that mark critical information) with guided exploration (activities in which learners compare cases, trace patterns, and articulate how ideas connect). The aim is coherent schema construction rather than accumulation of isolated facts.

Design Implications¶

Attention is the scarcest resource in learning: learners attend to what is salient, not necessarily to what is important. Explicit cues that mark critical features improve selective attention and learning, especially when material is complex or the goal is not obvious Relevancy of emphasis directs attention to cued information. [+M]. But highlighting alone is passive; the exploration half of the strategy — comparing multiple cases that vary systematically — is what drives abstraction of the underlying pattern Multiple contrasting cases support abstraction of deep features. [+M]. Signaling also manages extraneous load by reducing the need to search for structure Chunking reduces working memory load. [+M].

Context¶

Requirements¶

• A clear analysis of which features are critical for the learning goal — cueing everything cues nothing
• Contrast sets or case sequences in which relevant features vary and irrelevant ones are held constant or systematically varied
• Prompts that require learners to articulate the pattern or relationship (Self-Explanation, Think-Aloud)
• Visual design that distinguishes emphasis from decoration (consistent color-coding, Advance Organizers)
• A clear analysis of which features, patterns, and relationships are actually critical to the learning goal — highlighting the wrong things is worse than highlighting nothing
• Visual or verbal signaling devices (headings, color, underlining, advance organizers) applied sparingly and consistently
• Comparison tasks or prompts that require learners to examine how cases differ and what stays invariant

Constraints¶

• Learner-generated highlighting is one of the least effective study techniques when used without training or prompts Experimenter-provided underlining is more effective than student underlining. [-M] — students highlight indiscriminately and mistake marking for knowing
• Adding interesting but irrelevant "seductive details" diverts attention from critical content and depresses retention [-S]
• Heavy cueing can backfire for learners with high prior knowledge, who process well-structured material fine without it Guidance becomes less effective as expertise increases. [~M]
• Cueing a single exemplar risks anchoring learners to surface features; patterns only emerge from Comparing Cases or Non-Examples [~M]
• Signaling loses its power when everything is emphasized; the effect depends on genuine selectivity
• Highlighting surface features without connecting them to a big idea can encourage rote pattern-matching rather than transfer
• For learners with strong prior knowledge, heavy signaling can be redundant and may interfere with self-regulated processing [~M]

Implementation Variability¶

• Instructor-provided signals (color, arrows, bolding, advance organizers) vs. structured learner discovery (sorting tasks, case comparison, concept mapping)
• Domain-specific forms: marking tense endings in language study, annotating proof structure in mathematics, contrasting worked examples with Non-Examples, concept maps in biology
• Timing: cues before study (as an advance organizer), during (embedded annotation), or after (summary and synthesis)
• Instructor-provided signaling: advance organizers, bolded critical features, annotated worked examples
• Contrastive exploration: presenting non-examples and near-misses so learners must discriminate the critical feature
• Learner-guided exploration: pattern-hunting tasks, sorting/classifying activities, "what changed, what stayed the same" comparisons
• Relational mapping: concept maps, analogies, and explicit "this is like X because…" prompts

Target Learners¶

• Novices, who cannot yet distinguish critical from incidental features on their own Relevancy of emphasis directs attention to cued information. [+M]
• Learners facing high-element-interactivity material where structure is not self-evident Chunking reduces working memory load. [+M]
• Less cueing for advanced learners, who may find it redundant or attention-splitting Guidance becomes less effective as expertise increases. [~M]
• Learners in complex, feature-rich domains (science, mathematics, medicine) where surface features mislead
• Less beneficial for experts, who already extract structure efficiently and may find signaling redundant [~M]

Target Learning Goals¶

• Concept formation: discriminating defining features from surface features
• Knowledge organization: building relational schemas and seeing "big ideas" that unify topics
• Transfer: abstracting deep structure that applies across contexts Multiple contrasting cases support abstraction of deep features. [+M]
• Conceptual understanding: identifying defining features and distinguishing them from surface features
• Schema formation and abstraction: seeing the big idea across varied instances
• Transfer: recognizing when a familiar pattern applies in a new context

Instructions¶

1. Identify the 2–4 critical features or big ideas the goal depends on; cut everything else from the cueing layer.
2. Open with an Advance Organizer that names the pattern learners should watch for.
3. Present a contrast set — cases that vary the critical feature — rather than a single example (Comparing Cases, Case Studies).
4. Signal critical features consistently (color-coding, annotation, Analogies that map new structure onto familiar structure).
5. Prompt learners to state the pattern and how cases relate (Self-Explanation); have them generate their own example or non-example to check that the abstraction stuck.

Related Strategies¶

• Advance Organizers — a front-loaded form of signaling that frames what to look for before study begins
• Comparing Cases — the exploration engine that turns highlighted features into abstracted patterns
• Headings and Highlight — the concrete text-marking implementation of the signaling component
• Activating Prior Knowledge — gives learners a framework onto which highlighted patterns can attach
• Chunking — grouping related features so the highlighted structure fits in working memory

Examples¶

• [Project Gutenberg-annotated close reading] — no; a stronger published example: Facing History and Ourselves (https://www.facinghistory.org) uses guided annotation and contrast cases to highlight patterns in historical evidence.
• Khan Academy — color-codes parts of expressions and graphs to mark the critical feature being discussed, then follows with practice on varied items.
• Concept-oriented physics curricula such as Physics by Inquiry (McDermott) — students compare contrasting experiments to abstract the invariant relationship, with instructors highlighting the critical variable.
• Mathematics worked-example pairs — side-by-side problems differing only in the critical feature, with the differing step highlighted, prompting learners to articulate the rule governing when each method applies.
• Contrasting Cases (ThinkerTools) — Schwartz & Bransford's "A Time for Telling" studies had students compare paired motion-graph cases before instruction, letting them discover the critical feature (slope) that the subsequent lecture then named.
• Khan Academy — worked-example videos use color and annotation to single out the critical step in each problem, then follow with practice on varied surface features of the same underlying pattern.
• Cognitive Tutor / Carnegie Learning MATHia — the tutor highlights the relevant quantities in each problem context, teaching students to attend to the structural features that drive the solution rather than the story details.

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
• Schwartz, D. L., & Bransford, J. D. (1998). A time for telling. Cognition and Instruction, 16(4), 475–522. doi:10.1207/s1532690xci1604_4
• Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press. doi:10.1017/cbo9780511811678
• Marton, F., & Booth, S. (1997). Learning and awareness. Lawrence Erlbaum Associates.
• Rosenshine, B. (2012). Principles of instruction: Research-based strategies that all teachers should know. American Educator, 36(1), 12–19.
• 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