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Record W7099392287

1 Reconceptualizing the Evaluation of Teaching in Higher Education

2014· article· en· W7099392287 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHigher educationDiversity (politics)Set (abstract data type)DisciplineProcess (computing)Evaluation methods
DOInot available

Abstract

fetched live from OpenAlex

Trends within higher education in the United States and Canada suggest that, although there are calls for recognition of teaching as a scholarly activity, teaching is not perceived as a significant aspect of scholarly work. Furthermore, policies, procedures, and criteria for the evaluation of teaching in higher education contribute to the marginalization of teaching within the reward structures of universities and colleges. Evaluation policies, procedures, and criteria tend to (1) emphasize technical, rather than substantive aspects of teaching, (2) focus on process rather than outcomes, (3) lack strategic concern for the use of evaluation data within the institution, and (4) are devoid of the very substance through which academics derive a sense of identity-- their discipline. Recommendations are offered for evaluating three aspects of teaching: planning, implementation, and results. Within each aspect, conceptual arguments and practical solutions are suggested for establishing criteria, deciding on sources of data, and determining the nature of data that must be gathered. The goal is to set in place evaluation policies, procedures, and criteria that will be perceived as rigorous and credible alongside more traditional forms of scholarship, while respecting the diversity of contexts and disciplinary identities within universities and colleges. Seven principles for evaluation of teaching are proposed.

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)0.025
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.004
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)0.0020.000

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 head0.408
GPT teacher head0.530
Teacher spread0.123 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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