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Record W4367297634 · doi:10.1021/acs.jchemed.2c00948

Application of a Cognitive Task Framework to Characterize Opportunities for Student Preparation for Research in the Undergraduate Chemistry Laboratory

2023· article· en· W4367297634 on OpenAlex
Robin Stoodley, Kerry J. Knox, Elizabeth A. L. Gillis

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 · 2023
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsUniversity of British Columbia
FundersDanmarks Tekniske Universitet
KeywordsCurriculumTask (project management)Chemistry educationPerspective (graphical)CognitionMathematics educationComputer scienceChemistryEngineering ethicsPsychologyPedagogyEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Undergraduate chemistry laboratory instruction can be considered from many perspectives and addresses multiple educational aims. We critically assess an inventory of “Cognitive Tasks of Experimental Research” for its applicability to chemistry laboratory teaching, and then apply it to an integrated upper-level laboratory course as an example subject. We note patterns in the prevalence of different cognitive tasks in the course, including: a paucity of tasks related to determining research goals, evaluating experiment feasibility, and experimental design; and differences between cognitive task prevalence in organic chemistry experiments versus those in other subdisciplines of chemistry. We emphasize that this cognitive tasks of experimental research perspective provides multiple ways to consider the chemistry laboratory curriculum, and we discuss implications for practice. The work contributes to the debate about the role and aims of laboratory instruction in chemistry, and provides a tool to chemistry educators with which to reflect upon their practice and curriculum in laboratory education.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 integrity0.0000.000
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 head0.125
GPT teacher head0.458
Teacher spread0.333 · 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