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Record W3215223161 · doi:10.1139/cjp-2021-0121

Students’ attitudes toward experimental physics in a conceptual inquiry-based introductory physics lab

2022· article· en· W3215223161 on OpenAlexvenueno aff
Danny Doucette, Russell Clark, Chandralekha Singh

Bibliographic record

VenueCanadian Journal of Physics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsClass (philosophy)Physics educationCurriculumMathematics educationConceptual changeInquiry-based learningPedagogyPsychologyComputer scienceArtificial intelligenceQuantum mechanics

Abstract

fetched live from OpenAlex

There is some evidence that conceptual inquiry-based introductory physics lab curricula, such as RealTime Physics, may improve students’ understanding of physics concepts. Thus, these curricula may be attractive for instructors who seek to transform their physics labs to improve student learning. However, the impact of conceptual inquiry-based lab instruction on students’ attitudes and beliefs about experimental physics, as measured by the E-CLASS (Colorado Learning Attitudes about Science Survey for Experimental Physics) survey, is not yet fully understood. We present data from three curricular approaches over four semesters ( n = 701). We saw no change in E-CLASS scores in the first implementation of a conceptual inquiry-based introductory physics lab. However, the addition of questions that asked students to reflect on issues relating to experimental physics was associated with E-CLASS outcomes that are comparable to other effective approaches to lab instruction.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.169
GPT teacher head0.414
Teacher spread0.245 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations4
Published2022
Admission routes1
Has abstractyes

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