Pursue three leads for teaching discovery behavior: operant analysis, cognitive simulation, and exploratory-drive research¶
Strategy · All strategies
Evidence · no claims cited
Description¶
For learning TO discover, Glaser recommends three research leads. Mechner's operant analysis decomposes scientific method into teachable skills such as hypothesis generation, testable in a computer-simulated circumscribed universe. Simon and Newell's simulation work treats heuristics as teachable elementary information processes. Exploratory-drive research shows stimulus change can reinforce and elicit exploration, suggesting instructional environments should vary stimulus characteristics of materials to maintain curiosity.
Design Implications¶
Context¶
Requirements¶
- Component behavior repertoires of discovery must first be analyzed before discovery behavior can be instructionally manipulated
Constraints¶
- Discovery behavior is likely specific to subject-matter domain, with much significant specific variance beyond any common repertoires
Target Learners¶
- students being taught scientific inquiry and discovery skills
Target Learning Goals¶
- hypothesis generation and testing, exploratory and curiosity behavior, discovery strategies
Related Strategies¶
Examples¶
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Key Sources¶
- Glaser, Robert. (1966). Variables in "Discovery Learning." Learning Research and Development Center, University of Pittsburgh. https://eric.ed.gov/?id=ED010518
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
three-leads-teaching-for-discovery |
title |
Pursue three leads for teaching discovery behavior: operant analysis, cognitive simulation, and exploratory-drive research |
description |
For learning TO discover, Glaser recommends three research leads. |
status |
review |
generated |
by process:wiki-ingest on 2026-09-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — glaser-1966 |
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