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Surveying Assessment in Experiential Learning: A Single Campus Study

2015· article· en· W2246340831 on OpenAlex
Thomas Yates, Jay Wilson, Kendra Purton

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsUniversity of Saskatchewan
FundersUniversity of Saskatchewan
KeywordsExperiential learningContext (archaeology)HumanitiesPsychologyValuation (finance)SociologyPedagogyPhilosophyGeographyBusiness

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the methods of experiential assessment in use at a Canadian university and the extent to which they are used. Exploring experiential assessment will allow identification of commonly used methods and facilitate the development of best practices of assessment in the context of experiential learning (EL) at an institutional level. The origins of EL are found in the work of Dewey (1938), later modified by Kolb and Fry (1975). Experiential methods include: experiential education, service learning problem-based learning and others such as action learning, enquiry-based learning, and case studies. Faculty currently involved in EL at the participating university were invited to complete an online survey about their teaching and assessment methods. This paper will share the results and analysis of the EL inventory survey. L’objectif de cette étude était de déterminer quelles méthodes d’évaluation expérientielle sont employées dans les universités canadiennes et dans quelle mesure elles sont employées. Le fait d’explorer l’évaluation expérientielle permettra d’identifier quelles sont les méthodes employées couramment et facilitera le développement des meilleures pratiques d’évaluation dans le contexte de l’apprentissage expérientiel au niveau institutionnel. Les origines de l’apprentissage expérientiel se trouvent dans les travaux de Dewey (1938), modifiés plus tard par Kolb et Fry (1975). Les méthodes expérientielles comprennent : l’éducation expérientielle, l’apprentissage par le service, l’apprentissage par problèmes, ainsi que quelques autres tel que l’apprentissage par action, l’apprentissage par l’enquête et les études de cas. Les professeurs qui pratiquent actuellement l’apprentissage expérientiel dans les universités participantes ont été invités à remplir un questionnaire en ligne portant sur leur enseignement et leurs méthodes d’évaluation. Cet article partage les résultats et les analyses du sondage sur l’apprentissage expérientiel.

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)0.044
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0440.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.004
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 head0.128
GPT teacher head0.446
Teacher spread0.318 · 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