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Record W2104578243 · doi:10.1187/cbe.07-09-0088

Evaluation of the Redesign of an Undergraduate Cell Biology Course

2009· article· en· W2104578243 on OpenAlexaff
Laura April McEwen, dik Harris, Richard F. Schmid, Jackie Vogel, Tamara L. Western, Paul Harrison

Bibliographic record

VenueCBE—Life Sciences Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsConcordia UniversityMcGill UniversityQueen's University
Fundersnot available
KeywordsCourse (navigation)Process (computing)Teaching methodEngineering managementComputer scienceCourse evaluationMedical educationMathematics educationHigher educationEngineeringPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

This article offers a case study of the evaluation of a redesigned and redeveloped laboratory-based cell biology course. The course was a compulsory element of the biology program, but the laboratory had become outdated and was inadequately equipped. With the support of a faculty-based teaching improvement project, the teaching team redesigned the course and re-equipped the laboratory, using a more learner-centered, constructivist approach. The focus of the article is on the project-supported evaluation of the redesign rather than the redesign per se. The evaluation involved aspects well beyond standard course assessments, including the gathering of self-reported data from the students concerning both the laboratory component and the technical skills associated with the course. The comparison of pre- and postdata gave valuable information to the teaching team on course design issues and skill acquisition. It is argued that the evaluation process was an effective use of the scarce resources of the teaching improvement project.

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)0.018
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.199
GPT teacher head0.516
Teacher spread0.317 · 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 designTheoretical or conceptual
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

Citations17
Published2009
Admission routes1
Has abstractyes

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