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Enhancing learning through strategy instruction and group interaction: is active generation of elaborations critical?

2000· article· en· W2046559721 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueApplied Cognitive Psychology · 2000
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsYork UniversityWilfrid Laurier UniversityBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyInterrogationIntervention (counseling)Group (periodic table)Social psychologyMathematics educationCognitive psychology

Abstract

fetched live from OpenAlex

We examined strategic intervention when learners were actively engaged in group discussion to assess the impact of peer interaction. In addition, memory performance was compared between students who generated or evaluated elaborations when using the elaborative interrogation strategy, as well as between a supported strategy where learners were provided with explanatory elaborations and a self-study condition. Introductory psychology students (N=263) in groups of 3 to 5 members studied sixty facts about familiar and unfamiliar animals. Overall, the potency of elaborative interrogation was confirmed regardless of whether students studied interactively or independently. The contribution of group members in facilitating knowledge when the group was able to share sophisticated strategic information also was highlighted. Most critically, when background knowledge was sufficient to promote connections between existing and new material, it was the active generation of elaborations that maximized learning. Copyright © 2000 John Wiley & Sons, Ltd.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.082
GPT teacher head0.439
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it