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Record W2782713373 · doi:10.5539/jel.v7n3p1

Improving Student Reflection in Experiential Learning Reports in Post-Secondary Institutions

2018· article· en· W2782713373 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Education and Learning · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsUniversity of OttawaGlobal Affairs Canada
Fundersnot available
KeywordsExperiential learningService-learningPracticumEmployabilityPsychologyPedagogyExperiential educationActive learning (machine learning)Mathematics educationSociology

Abstract

fetched live from OpenAlex

Work-integrated learning options—or experiential learning—(such as co-operative education, practicum placements, and community service learning/volunteer placements) offer much scope for enhancing educational opportunities for post-secondary students to learn about the workplace and to develop skills that may contribute to their future employability. However, community service learning (CSL) placements and co-operative education (co-op) programs, among other forms of experiential learning, offer so much more than the practical outcomes of skills-development and résumé-building. They provide a space for reflexivity on the student’s positionality in relation to privilege and national and/or global citizenship identity-formation; for critical reflection on ethical issues; for the promotion of social justice; and for praxis (the application of knowledge). The research presented in this article is an evaluation of two sets of experiential learning reflection assignments: co-op work-term reports (from 2nd, 3rd, 4th year and graduate students) and CSL papers (assignments submitted for a fourth year class I taught in winter 2016 on experiential learning). I examine the common themes and differences between these two sets of assignments with particular attention to the preparation and facilitation of learning in both instances, and the difference this preparation makes in terms of the student’s critical reflection.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.396
Teacher spread0.361 · 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