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Record W4411270373 · doi:10.22318/icls2025.993168

Designing Curricula for an Uncertain World: A Critical Action Learning Approach

2025· article· en· W4411270373 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. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumComputer scienceAction (physics)Action learningMathematics educationTeaching methodSociologyPedagogyPsychologyCooperative learning

Abstract

fetched live from OpenAlex

In this paper, we focus on engaging student educational designers in critical action learning and design.While ongoing efforts have investigated how to build capacity amongst schoolteachers, we argue for building capacity amongst student educational designers who will be engaged in designing resources for schoolteachers and students.This research builds on theories of critical pedagogy and critical action learning.We follow a design-based research approach to iteratively design a critical action learning toolbox that can be used to foster a generation of designers capable of producing educational technologies that prioritize equity and social responsibility.Findings suggest that adopting a layered approach -CALE researcher/educator (Layer 0), student educational designer (Layer 1), and schoolteacher (Layer 2) -provide the required reflective space to design curricula using critical action learning approach.Scaffolds such as designing a collective problem case and emergent mirrors are important constituents in this reflective space.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.000
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 head0.096
GPT teacher head0.432
Teacher spread0.336 · 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