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Record W3009991094 · doi:10.5206/tips.v9i1.10320

Effective Classroom Techniques for Engaging Students in Role-Playing

2020· article· en· W3009991094 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

VenueTeaching Innovation Projects · 2020
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsConestoga College
Fundersnot available
KeywordsSession (web analytics)Scripting languageReading (process)PsychologyRole playingStudent engagementPedagogyTeaching methodMathematics educationComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Role-playing is a teaching technique that provides students with an opportunity to engage with the material in a unique way within the classroom setting. A classroom role-play can involve students reading pre-designed scripts, students play acting characters described on role cards, or students acting out characters of their own creation. Regardless of the specific approach, role-play activities can serve to increase student retention, understanding, and engagement with the course material. In this session, educators explore the benefits and challenges associated with using role-play activities in the classroom. Participants get a chance to experience a role-play activity and consider how to facilitate a role-play that creates a memorable experience and contributes to course learning outcomes. The ultimate goal is to provide participants with the tools to use role-playing in their own teaching practices.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.083
GPT teacher head0.438
Teacher spread0.355 · 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