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On being examined: Do students and faculty agree? (531.18)

2014· article· en· W1597531263 on OpenAlexaff
Henry Y. Kwon, Joshua F. E. Koenig, Andrew Perrella, Beatrice Preti, Shelly Chopra, Stash Nastos

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGrading (engineering)CreativityPsychologyEthosMedical educationLikert scaleMathematics educationPedagogyMedicineSocial psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Examinations are the bane of student life. However, what they mean and whether they serve any useful purpose is debatable. Undergraduate students in a 4‐year honours program, independently surveyed their peers (n=526) and teachers (n=33) using a 15‐item questionnaire that sought to explore differing perceptions of diverse aspects of examinations. Participants indicated their level of agreement on a 10‐point scale to a series of statements that gauged: personal value, format, level of creativity permitted, and the grading of exams, as well as their long‐term utility. On most items, there was a general agreement between the entire student body and the faculty. However, on specific issues, (i.e. exams written as groups vs. as individuals) students at different levels had varying opinions. Whereas the student body as a whole would prefer having a choice in the exam format (mode=10), the faculty were less enthusiastic (mode=5). Focus groups and follow‐up questionnaires will probe these differences further. This program sets a high premium on the importance of a student‐centred, inquiry‐based learning. Clearly, the students accept this ethos, though the faculty appear to have some reservations on specific issues.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
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 head0.148
GPT teacher head0.454
Teacher spread0.305 · 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.

Study designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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