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Record W4392681924 · doi:10.22318/icls2023.102256

A Dystopian Game for Change: Building Asynchronous Learning Network Through Co-Design Partnerships Across Disciplines

2023· article· en· W4392681924 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.

Bibliographic record

VenueProceedings. · 2023
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGame designEmbodied cognitionPracticumDystopiaComputer scienceLiteracyAsynchronous communicationGame design documentVideo gameMathematics educationSet (abstract data type)Learning designSociologyMultimediaGame DeveloperPedagogyPsychologyArtificial intelligence

Abstract

fetched live from OpenAlex

This paper is a design-based study of a collective inquiry-based game set in a dystopian world that engages high school students to reflect critically and build media literacy within various disciplinary contexts.We report on the preliminary design activities for an educational game undertaken closely with technology consultants and three high school teachers (Arts, English, and STEM).This paper reports on our first phase of design-based research (Brown, 1992), in which we work closely with teachers, game design experts, and technology consultants to develop an understanding of learning goals, gameplay dynamics, and learning environments (Gee,2005;Squire, 2006; Djaouti,2011), that would be suitable for students to collaboratively building an embodied game-based learning experiences.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.767

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.235
GPT teacher head0.447
Teacher spread0.212 · 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