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Record W1540464788

The Learner as Teacher: Using Student Authored Comics to “Teach” Mathematics Concepts

2009· article· en· W1540464788 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

VenueEdMedia: World Conference on Educational Media and Technology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComicsConstructiveLiteracyMathematics educationRepresentation (politics)PedagogyComputer scienceMultimediaSociologyProcess (computing)PsychologyPolitical scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Comics are a part of popular culture that has great potential for enhancing student learning. Comics were embraced for their utility in education in the 1940s but were subsequently denigrated and effectively blacklisted for educational application in the 1950s. They only began their recovery as an educational medium and topic of interest for researchers in the 1990s (Yang 2003). Having students create their own comics can improve motivation, literacy and conceptual understanding. Current comic authoring programs allow students to experience the benefits of communicating through meaningful, satisfying comics without the stress or frustration often associated with creating traditional comics by hand or the writing load imposed by traditional written assignments. Having students create comics to share their understanding of mathematical concepts allows them to engage in a creative and constructive process that supports the development of problem solving, representation and communication skills.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score0.533

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 studies0.0000.001
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 head0.054
GPT teacher head0.329
Teacher spread0.275 · 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