Creative Analogies and Comparisons¶

Strategy · All strategies
Evidence · 6 claims (4 for, 1 mixed, 1 against) · 19 studies (8 causal, 6 review, 4 quant-synthesis, 1 theoretical), q1–q4 · 4 of 19 report an effect size

Description¶

Creative analogies and comparisons link unfamiliar, abstract, or complex target concepts to familiar source domains, so learners can map what they already know onto new material. The strategy works through Analogical Reasoning: the learner aligns the relational structure of the familiar case with the unfamiliar one, transferring structure rather than surface features Analogical Reasoning Improves Transfer [+M]. Well-designed analogies do more than simplify — they highlight which features of the target matter and which features of the source should be ignored.

Design Implications¶

Analogies reduce intrinsic load by letting learners import an existing schema instead of constructing one from scratch Chunking reduces working memory load. [+S], and they activate prior knowledge that serves as a foundation for the new concept Activating prior knowledge improves learning. [+M]. Their effectiveness depends on structural alignment: analogies that share deep relational structure with the target support transfer, while surface-similar analogies invite erroneous mappings. Because every analogy breaks down somewhere, the most effective instruction explicitly marks where the comparison fails.

Context¶

Requirements¶

• A source domain that is genuinely familiar to the target learners — familiarity is relative to the audience, not the instructor
• Structural correspondence between source and target at the level of relations, not just appearance
• Explicit identification of the analogy's boundaries — where the mapping breaks down (Non-Examples and contrast cases help)
• Optional visual support that reinforces the mapping (Dual coding improves recall. [+M])

Constraints¶

• Misleading mappings: learners may transfer incorrect features from the source to the target, producing misconceptions that are harder to correct than gaps [-M] — e.g., the "solar system" atom analogy leads students to believe electrons orbit in fixed planetary paths
• Analogies become less effective — and can add redundant load — for learners who already know the target domain well Guidance becomes less effective as learner expertise increases. [~M]
• Overuse clutters instruction; each additional analogy competes for working memory and dilutes the key comparison Cognitive overload degrades learning. [-M]
• Analogies that are vivid but structurally shallow entertain without teaching; surface similarity alone does not produce transfer [~M]

Implementation Variability¶

• Advance analogies: presented before new material as an Advance Organizer to frame what is coming
• Embedded analogies: interleaved with explanation, with the mapping made explicit step by step (Glynn's Teaching-With-Analogies model: target, source, mapping, breakdown)
• Learner-generated analogies: students invent their own comparisons, which requires deeper processing but risks entrenching flawed mappings without feedback
• Multiple analogies: several different sources for the same target, supporting flexible understanding across contexts

Target Learners¶

• Novices encountering an abstract or invisible phenomenon (electrical circuits, market dynamics, molecular processes) for the first time [+M]
• Learners with relevant everyday experience in the source domain but little formal knowledge of the target
• Less beneficial for advanced learners, for whom a familiar-domain analogy may be redundant or distracting Guidance becomes less effective as learner expertise increases. [~M]

Target Learning Goals¶

• Conceptual understanding of abstract, complex, or non-observable systems
• Schema formation: anchoring new concepts to existing knowledge structures
• Retention and recall: memorable comparisons serve as retrieval cues
• Transfer: relational mapping prepares learners to see the same structure in new situations [~M]

Instructions¶

1. Identify the core relational structure of the target concept — what must the analogy preserve?
2. Select a source domain your learners know well; verify familiarity rather than assuming it (Analogies and Prior Knowledge Activation)
3. Present the analogy before or alongside the formal explanation, making each mapping explicit ("just as X in the source, Y in the target") (Supportive Information)
4. State explicitly where the analogy breaks down, and contrast the analogy with a Non-Example to prevent overextension
5. Ask learners to apply the concept in a new situation, or to critique or generate analogies themselves, to check that they mapped structure rather than surface features

Related Strategies¶

• Activating Prior Knowledge — analogies are a specific, structured way of doing this
• Concrete Examples — examples instantiate the target directly; analogies import structure from a different domain
• Dual Coding — pairing the analogy with a visual reinforces the mapping

Related Elements¶

• Analogies — the core element this strategy deploys
• Analogies and Prior Knowledge Activation — the bridge between comparison and existing schemas
• Advance Organizers — analogies often serve this framing function
• Supportive Information — in 4C/ID terms, analogies are supportive information for non-recurrent task aspects

Patterns That Use This Strategy¶

• Anchored Instruction — the anchor story functions as an extended familiar context mapped onto target skills
• 4C/ID — supportive information frequently includes analogies for complex, variable tasks

Examples¶

• Photosynthesis as cooking: a plant "prepares" glucose from ingredients (CO₂, water) using energy (sunlight as stove heat) — effective for the input–process–output structure, but must be bounded: plants build their own food rather than transforming prepared ingredients.
• Electrical circuits as water in pipes: voltage as pressure, current as flow, resistance as pipe narrowing — a classic physics analogy whose breakdown (water is consumed; charge is not) should be stated explicitly.
• Data encryption as a locked lockbox sent by mail: conveys public-key ideas (anyone can lock, only the key-holder can open) in security training courses.
• Scalability as a restaurant adding tables at peak hours: used in business education to distinguish scaling capacity from scaling demand.

Key Sources¶

• Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7(2), 155–170. doi:10.1207/s15516709cog0702_3
• Duit, R. (1991). On the role of analogies and metaphors in learning science. Science Education, 75(6), 649–672. doi:10.1002/sce.3730750606
• Glynn, S. M. (1991). Explaining science concepts: A teaching-with-analogies model. In S. M. Glynn, R. H. Yeany, & B. K. Britton (Eds.), The psychology of learning science (pp. 219–239). Lawrence Erlbaum.
• Harrison, A. G., & Treagust, D. F. (2006). Teaching and learning with analogies: Friend or foe? Science Education, 90(5), 865–885. doi:10.1007/1-4020-3830-5_2