Guided Discovery in a Community of Learners
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When students learn science in classrooms with pure-discovery methods and minimal feedback, they often become lost and frustrated, and their confusion can lead to misconceptions.
“Hardiman, Pollatsek, and Weil (1986) and Brown and Campione (1994) noted that when students learn science in classrooms with pure-discovery methods and minimal feedback, they often become lost and frustrated, and their confusion can lead to misconceptions.”
From Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching (2006) · cites this paper as Brown & Campione, 1994
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- Authors
- Brown, A. L., & Campione, J. C.
- Affiliations
- University of California, Berkeley (US)
- Venue
- Classroom Lessons
- Publisher
- The MIT Press
- Published
- 1994-06-17
- Pages
- 220-261
- OpenAlex
- W1694528682
- Cited by
- 1,152
- References
- 0
- Citations by year
- 2026: 2 · 2025: 13 · 2024: 20 · 2023: 24 · 2022: 22 · 2021: 30 · 2020: 29 · 2019: 32 · 2018: 33 · 2017: 22 · 2016: 43 · 2015: 49 · 2014: 44 · 2013: 56 · 2012: 52
- FWCI
- 32.92
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- The MIT Press eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Science Education and Pedagogy
- Keywords
- guided discovery learning, community of learners, cooperative learning, inquiry-based learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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