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Record W2941611075

The Echo of Why: Addressing Challenging Teaching Experiences through Forum Theatre

2019· article· en· W2941611075 on OpenAlexaffabout
Graham W. Lea, Bonface Njeresa Beti

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2019
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPresentation (obstetrics)Embodied cognitionSpace (punctuation)PedagogyService-learningService (business)SociologyEcho (communications protocol)Public relationsPolitical scienceComputer scienceMedicineBusiness
DOInot available

Abstract

fetched live from OpenAlex

On stage, a student asks a pre-service teacher an all too common question: Why do I have to learn this? So began The Echo of Why , a forum theatre production developed at a mid-sized Western Canadian university. The performance emerged out of a pilot project investigating the possibilities of using research-based theatre and forum theatre to generate a communal space for sharing, engaging with, critiquing, and addressing challenging teaching experiences encountered by pre-service teachers. The embodied space created through the theatrical experience encouraged the imagination of new possibilities for responding to these challenges. During script development, performers were afforded an opportunity to deeply reflect on what it means to be a teacher and their motivations for becoming pedagogues. This presentation shares video excerpts from the development and performance of The Echo of Why , impacts on both performers and audience members, and challenges encountered to highlight insights into the possibilities of integrating forum theatre into pre-service teacher education. The presentation concludes with suggestions for creating more generative forum theatre spaces for exploring the challenging issues at the heart of becoming a teacher.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.082
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.080
GPT teacher head0.391
Teacher spread0.311 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2019
Admission routes2
Has abstractyes

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