Graphic Organizers for Lecture Support¶

Strategy · All strategies
Evidence · 5 claims (3 for, 2 against) · 14 studies (5 causal, 5 quant-synthesis, 4 review), q2–q4 · 4 of 14 report an effect size

Description¶

Instructors deliver lectures using a graphic organizer — a concept map, matrix, flowchart, or hierarchical diagram — to visually represent the structure of the content as it is presented, rather than relying on bullet-point slides or a linear outline. The organizer is built up during the lecture (or provided partially complete), so students see how each new idea connects to what came before. It functions as both a presentation medium for the instructor and a note-taking scaffold for students.

Design Implications¶

Graphic organizers exploit the dual-channel capacity of working memory: presenting relational structure spatially alongside verbal explanation improves recall and inference compared with verbal-only presentation Presenting information in both verbal and visual form improves recall. [+S]. Meta-analytic evidence shows graphic organizers outperform text-only or outline-based presentation, particularly when they make relationships (hierarchy, causality, comparison) explicit rather than merely decorating the content Graphic organizers improve learning outcomes compared with text-only instruction. [+M]. Their benefit depends on the organizer matching the actual structure of the content — a hierarchy for taxonomies, a matrix for comparisons, a flowchart for processes — and on students actively processing it rather than passively receiving it.

Context¶

Requirements¶

• Lecture content analyzed in advance to identify its underlying structure (hierarchical, sequential, comparative, causal)
• An organizer type matched to that structure, not chosen for visual appeal
• Progressive reveal or completion during the lecture so the visual grows with the explanation (Chunking the content into organizer segments)
• Student-facing copies with deliberate blanks, so note-taking requires active processing
• Pre-designed organizers matched to the actual structure of the content (a hierarchy for taxonomies, a matrix for comparisons, a flowchart for processes)
• Progressive disclosure during the lecture — building the organizer node by node rather than displaying the finished diagram
• Verbal explanation that elaborates the links, not just the nodes; the relationships are the learning target
• A way for students to reproduce or complete the organizer themselves (handout, LMS copy, or partially blank version)

Constraints¶

• Instructor preparation cost is high: translating dense content into an accurate visual takes significant time and iteration
• A poorly matched organizer (e.g., a linear flowchart for comparative content) can impose a misleading structure and harm learning Cognitive overload degrades learning when presentation demands exceed working memory capacity. [-M]
• Overly dense organizers with every detail filled in become unreadable and defeat the purpose; students who copy a complete organizer verbatim learn less than those who complete parts of it themselves Learner-generated graphic organizers produce better learning than provided ones. [~M]
• Benefits shrink for content that is genuinely linear or procedural, where an outline serves as well
• Organizers impose their own structure; a poorly chosen format (e.g., a hierarchy for content that is really a causal network) can distort understanding [~M]
• Presenting a complete, dense organizer all at once overloads working memory and encourages copying rather than processing Chunking reduces working memory load. [-M]
• Instructor-provided organizers can produce passive engagement; students who merely view a finished organizer learn less than those who generate or complete one Stull & Mayer found learner-generated organizers outperform author-provided ones in several comparisons. [~S]
• Less suitable for narrative, affective, or highly idiosyncratic content that resists relational structure

Implementation Variability¶

• Completed vs. skeletal: provide the full organizer as a study aid, or a partial version students complete during lecture (the latter produces more engagement)
• Instructor-built vs. student-built: students construct their own organizer after or during the lecture, which shifts the strategy toward generative learning
• Static handout vs. progressive build: reveal the organizer incrementally (on a whiteboard or animated slide) to control the order of information
• Organizer as advance organizer: present the completed structure before the lecture to activate relevant prior knowledge (Advance Organizers)
• Completed organizer shown at the start as an advance organizer for the whole lecture
• Progressively built organizer, revealed node by node as content unfolds
• Partial organizer with blank nodes or unlabeled links that students fill in during the lecture (cloze-style)
• Student-generated organizers as a post-lecture consolidation activity, which shifts toward Annotating and generative processing
• Matrices and comparison tables for multi-concept contrasts, which support abstraction better than single-concept diagrams Multiple contrasting cases support abstraction. [+M]

Target Learners¶

• Novices who lack a schema for the content and would otherwise record lecture notes as disconnected facts Graphic organizers improve learning outcomes compared with text-only instruction. [+M]
• Students with weak note-taking skills, who benefit from an external structure for their notes
• Less beneficial for advanced learners who already impose their own structure on content; a provided organizer may be redundant for them Cognitive overload degrades learning when presentation demands exceed working memory capacity. [~W]
• Novices who lack the prior knowledge to impose structure on the content themselves; the organizer substitutes for missing schemas [+M]
• Learners with weaker note-taking or listening skills, who otherwise capture fragments without the connective tissue
• Less beneficial for experts or learners with strong prior knowledge, for whom the imposed structure may be redundant or constraining [~M]

Target Learning Goals¶

• Relational knowledge: understanding how concepts connect, not just what they are
• Comprehension and retention of expository lecture content Presenting information in both verbal and visual form improves recall. [+S]
• Preparation for later knowledge construction — the organizer becomes a substrate for Concept Mapping or summarization activities
• Relational and structural knowledge: hierarchies, sequences, cause–effect, and part–whole relationships
• Conceptual comprehension and integration across lecture segments
• Retention of organized content, since structured retrieval cues outperform linear notes for recall [+M]

Instructions¶

1. Analyze the lecture content and select the organizer type that matches its structure (hierarchy, matrix, flowchart, cycle).
2. Present the skeletal organizer at the start of the lecture as a roadmap (Advance Organizers).
3. Build the organizer incrementally as each concept is explained, narrating the relationships aloud ("this branch is a type of the one above…").
4. Leave selected nodes or links blank for students to complete, requiring active processing (Annotating).
5. Close by having students use the completed organizer to answer an integrative question or predict a related case (Application).

Related Strategies¶

• Advance Organizers — the pre-lecture variant: presenting structure before content rather than building it during
• Concept Mapping — the student-generated variant, shifting the cognitive work to learners
• Structured Note-Taking — complementary scaffold for the verbal channel of the lecture
• Activating Prior Knowledge — a skeletal organizer at the start of a lecture doubles as a prior-knowledge activation prompt
• Teacher-provided graphic map as review

Related Elements¶

• Advance Organizers — the organizer delivered before instruction to frame what follows
• Chunking — organizers segment content into working-memory-sized units
• Annotating — students mark up the organizer during lecture

Examples¶

• A biology instructor uses a classification tree on the whiteboard to teach the taxonomy of living organisms, adding each branch as it is discussed and leaving species names blank for students to place.
• A history lecturer uses a comparison matrix (causes, actors, outcomes) filled in across three revolutions, so students see structural parallels rather than three disconnected narratives.
• Cornell note-taking with a graphic header: some published course materials (e.g., open-education lecture templates) pair a concept-map header with lined note space, combining relational and detail capture.
• Anatomy lectures using concept maps — instructors build a body-systems concept map across a multi-week unit, with each lecture adding and linking nodes; students receive the cumulative map as a study artifact.
• History lectures using comparison matrices — a matrix of revolutions (causes × events × outcomes × actors) filled in across lectures lets students see structural parallels rather than isolated narratives.
• Khan Academy — many lesson pages pair video explanation with structured diagrams and relationship maps rather than prose summaries.
• Biology "concept maps as lecture backbone" — a partially blank map distributed via the LMS that students complete during class, then compare against the instructor's completed version.

Key Sources¶

• Nesbit, J. C., & Adesope, O. O. (2006). Learning with concept and knowledge maps: A meta-analysis. Review of Educational Research, 76(3), 413–448. doi:10.3102/00346543076003413
• Robinson, D. H., & Kiewra, K. A. (1995). Visual argument: Graphic organizers are superior to outlines in improving learning from text. Journal of Educational Psychology, 87(3), 455–467. doi:10.1037/0022-0663.87.3.455
• Stull, A. T., & Mayer, R. E. (2007). Learning by doing versus learning by viewing: Three experimental comparisons of learner-generated versus author-provided graphic organizers. Journal of Educational Psychology, 99(4), 808–820. doi:10.1037/0022-0663.99.4.808
• Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press. doi:10.1017/CBO9780511811678
• Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149–210. doi:10.1007/BF01320076