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Record W2594603542 · doi:10.1177/1053825917696832

Applying Kolb’s Model to a Nontraditional Preservice Teaching Practicum

2017· article· en· W2594603542 on OpenAlex

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 Experiential Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPracticumExperiential learningPsychologyBachelorPedagogyPerspective (graphical)Reflection (computer programming)Mathematics educationTeacher educationExperiential education

Abstract

fetched live from OpenAlex

This article reports on the initial findings of an ongoing study that will see six preservice teachers placed in a nontraditional practicum placement as part of their bachelor of education program. Reported here is the examination of emergent professionalism of the initial two preservice teachers during their nontraditional practicum placement on a housing construction site. Emergent professionalism is enacted when teachers shift their concerns from self to other, as described by Fuller. The findings are then examined from the perspective of Kolb’s experiential learning model, including the concrete experience, observation of and reflection on that experience, formation of abstract concepts based upon the reflection, and testing of the new concepts. As a result of this analysis, new insights are shared regarding the ways in which preservice teachers develop their emergent professionalism through examination of the environment, multiple sources of feedback, interdisciplinary lessons, and a hands-on learning environment.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.053
GPT teacher head0.442
Teacher spread0.389 · 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