Theoretical perspectives on learning in an informal setting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Research into learning in informal settings such as museums has been in a formative state during the past decade, and much of that research has been descriptive and lacking a theory base. In this article, it is proposed that the human constructivist view of learning can guide research and assist the interpretation of research data because it recognizes an individual's prior knowledge and active involvement in knowledge construction during a museum visit. This proposal is supported by reference to the findings of a previously reported interpretive case study, which included concept mapping and semistructured interviews, of the knowledge transformations of three Year 7 students who had participated in a class visit to a science museum and associated postvisit activities. The findings from that study are shown in this report to be consistent with the human constructivist view of learning in that for all three students, learning was found to be at times incremental and at other times to involve substantial restructuring of knowledge. Thus, we regard that the human constructivist view of learning has much merit and utility for researchers investigating the development of knowledge and understanding emergent from experiences in informal settings. The theoretical and practical implications of these findings for teachers and staff of museums and similar institutions are also discussed. © 2003 Wiley Periodicals, Inc. J Res Sci Teach 40: 177–199, 2003
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it