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Record W4411286008 · doi:10.1021/acs.jchemed.4c01089

Ask Away! Empowering Students to Ask Anonymous In-Class Questions

2025· article· en· W4411286008 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.

Bibliographic record

VenueJournal of Chemical Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAsk priceClass (philosophy)Mathematics educationScience educationPsychologySociologyPedagogyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Asking questions in front of a large classroom of one’s peers is so intimidating that a majority of students will not participate in class in this way, hence missing out on a crucial part of the educational experience. A very easy option that has been implemented in our large enrollment classrooms, with a great effect, is outlined herein: an anonymous form to which students can post questions during class. The tool we used was Google Forms, and the participants were students enrolled in a first-year chemistry course. A thematic analysis of 617 student questions identified eight main categories, with the two most common themes being: (1) questions answered in the course syllabus and (2) questions on chemistry topics. Student surveys showed that the vast majority found the Google Form useful and would like to see it implemented in other large-enrollment courses.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.480
Teacher spread0.458 · 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