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Record W4399489579 · doi:10.22318/icls2024.802482

Interplay of Form and Function in Learners’ Re-Designed Games within a STEM Classroom

2024· article· en· W4399489579 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings. · 2024
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsMacEwan University
Fundersnot available
KeywordsFunction (biology)Computer scienceMathematics educationHuman–computer interactionMultimediaPsychologyBiology

Abstract

fetched live from OpenAlex

Re-designing games facilitates interest-driven learning and immerses learners in systems thinking.However, there are limited studies into how formal and functional aspects of designing tabletop games inform and influence learners design decisions and help them learn in distinct ways.This study delves into this by involving third and fourthgrade students in the process of re-designing a tabletop game, Triominos.We take a mixed methods approach and investigate occasions that emergence of form influences learners' decisions on functional aspects of their re-designed games and helps them learn in distinct ways.The research was conducted within a STEM classroom in a primary school in western Canada.Data include classroom videos, images of students' work-in-progress, and final game designs.We describe the ways through which learners translate their formal ideas into functional mechanics.Outcomes show interplay of formal and functional aspects engage learners with mathematical concepts, challenges, and connections in novel systematic ways.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.287

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 integrity0.0000.000
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 head0.027
GPT teacher head0.314
Teacher spread0.287 · 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