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Record W4387665366 · doi:10.15173/ijsap.v7i2.5096

ePortfolio to support professional development during experiential learning placements: Guided by students-as-partners theory, enabled through students-as-partners practice

2023· article· en· W4387665366 on OpenAlexaffvenue
Cicely Roche, Laine Abria, Orna Farrell, Jonathan Johnston, Tracy Penny Light, Alexandra McKibben, Aisling Reast, Kathleen Blake Yancey

Bibliographic record

VenueInternational Journal for Students as Partners · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsCapilano University
FundersDublin City UniversityTrinity College Dublin
KeywordsExperiential learningContext (archaeology)CurriculumPsychologyPreceptorMedical educationPedagogyPharmacyAgency (philosophy)Experiential educationMedicineSociologyNursing

Abstract

fetched live from OpenAlex

This case study applies a students-as-partners focus to the use of ePortfolio concepts during experiential learning placements. In describing our project and as evident here, in referring to ePortfolio in the singular, we cite it as an abstract concept, while the plural reference marks practice, in this study taking the form of student-generated instances of ePortfolio use, in particular as detailed in the ePortfolios experiences of two final-year students on experiential placement in a pharmacy programme. These two students used their ePortfolio to document and reflect critically on their experiential placements, showcasing their own student-generated ePortfolios at a symposium co-hosted by student partners, their placement preceptor, and other mentors. This student co-developed case study summarises key findings, including how the use of ePortfolio can support learner agency, and outlines recommendations for further incorporating ePortfolio use in experiential learning contexts. While grounded in the context of an undergraduate pharmacy programme, much of the study will resonate with colleagues based in other disciplines aligned with competency frameworks. The staff-student collaborative approach explored in this case study is likely of interest to students, educators, preceptors, tutors, mentors, and others developing curricula with an ePortfolio component.

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)0.009
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0030.003
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.064
GPT teacher head0.618
Teacher spread0.554 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2023
Admission routes2
Has abstractyes

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