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Record W2951029032 · doi:10.22329/celt.v12i0.5205

A Decade of Outdoors Experiential Workshops

2019· article· en· W2951029032 on OpenAlexaffvenue
Judy Bornais, David M. Andrews, Alice Cassidy, W. Alan Wright, Marie-Jeanne Monette

Bibliographic record

VenueCollected Essays on Learning and Teaching · 2019
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsExperiential learningOutdoor educationExperiential educationPsychologyPedagogyTeaching methodMathematics educationEngineering ethicsSociologyEngineering

Abstract

fetched live from OpenAlex

Though much literature describes the value of experiential and place-based learning experiences for participants, we have found little comparable literature regarding the facilitator experience. This paper provides current and future facilitators of workshops, especially those that take place outdoors, our reflections and ideas as facilitators, including tips for success. Our findings reinforce the conclusion that experiential learning can be as beneficial and transformative for facilitators as for participants, and that what we encounter during workshops parallels what students may go through in our classrooms as they learn. We identify five clear themes from facilitator reflections and encourage readers to consider leading an outdoor experiential learning sessions. Keywords: reflection, facilitators; outdoor education; place-based learning; conference pedagogy; educational development S’il existe beaucoup d’études décrivant la valeur des expériences d’apprentissage expérientiel axé sur la dimension locale, notre examen a révélé peu d’études du genre portant sur l’animateur. Notre article présente des idées, des réflexions et des conseils à l’intention des personnes qui animent ou animeront des ateliers, tout particulièrement des ateliers en plein air, en vue de la réussite de ces activités. Nos conclusions indiquent, premièrement, que l’apprentissage expérientiel peut être bénéfique et peut induire des changements chez l’animateur aussi bien que chez le participant et, deuxièmement, que notre expérience en tant qu’animateurs au cours des ateliers recoupe l’expérience d’apprentissage des étudiants en classe. Nous cernons cinq thèmes issus des réflexions des animateurs et nous encourageons les lecteurs de l’article à envisager la possibilité d’animer des sessions d’apprentissage expérientiel en plein air. Mots clés : réflexion, animateurs; enseignement en plein air; apprentissage axé sur la dimension locale; pédagogie de conférence; perfectionnement de l’enseignement

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)0.000
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.010
GPT teacher head0.316
Teacher spread0.305 · 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 designQualitative
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

Citations2
Published2019
Admission routes2
Has abstractyes

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