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Record W3214661623 · doi:10.1080/03057267.2021.2004006

Response of science learners to contradicting information: a review of research

2021· review· en· W3214661623 on OpenAlexafffund
Patrice Potvin

Bibliographic record

VenueStudies in Science Education · 2021
Typereview
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCognitionIsolation (microbiology)Process (computing)Conceptual changeReflection (computer programming)PsychologyEpistemologyScience educationCognitive psychologySociologyCognitive scienceMathematics educationComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

This article presents a critical and systematic review of the science education research literature that explores the response of learners to contradicting information (anomalous data). The review is framed in the cognitive conflict process model (CCPM) and provides an analysis of (1) the types and frequency of possible responses, (2) the conditions by which cognitive conflict is successfully triggered, and (3) the preliminary conditions that eventually favour conceptual changes. The results conclude, among other things, that anomaly-induced cognitive conflict is rather inefficient if triggered in isolation, without supportive processing activities, or without the initial availability of conceptual alternatives. A prospective synthesis is then provided, supporting Ohlsson’s view of science education activities that concentrate on cognitive utility rather than emphasising on discrediting initial conceptions. A reflection about the integration of such considerations with contemporary issues is also provided.

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.

How this classification was reachedexpand

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)0.082
metaresearch head score (Gemma)0.148
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0820.148
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.030
Science and technology studies0.0020.018
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.521
GPT teacher head0.676
Teacher spread0.155 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2021
Admission routes2
Has abstractyes

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