MétaCan
Menu
Back to cohort

Digital Media in the Classroom

2015· book-chapter· en· W2506822539 on OpenAlex
Kathy Sanford, Liz Merkel, Tim Hopper

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

VenueAdvances in media, entertainment and the arts (AMEA) book series · 2015
Typebook-chapter
Languageen
FieldComputer Science
TopicChaos, Complexity, and Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCurriculumClass (philosophy)Mathematics educationTask (project management)Heading (navigation)Event (particle physics)Competition (biology)PedagogyComputer sciencePsychologyEngineering

Abstract

fetched live from OpenAlex

The purpose of this chapter is to highlight the engagement, social connectivity, and motivation to learn observed in two classes of students, one a grade 9/10 information technology class, the other a grade 3 class of learners classified with learning disabilities. The common factor in the two classes was the way the teachers were rethinking literacy for the 21st century learning by simultaneously engaging students in an event of creating computer programing to address a competition task whilst also addressing curriculum demands. The chapter explores the way the teachers were learning to develop the conditions for emergent learning systems in their classrooms as the first steps to reform the current education system. Drawing on complexity theory, the authors suggest that these students are offering two microcosmic examples of where global systems are heading. The goal of the chapter is to help shift school teaching from its present disconnect between the real world outside students' classrooms and the contrived, dated world of typical school-based curriculum 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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.705
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.003
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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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