Shifting Design Values: A Playful Approach to Serious Content
Bibliographic record
Abstract
This article documents the design and development of an online tutorial for student and practising teachers at York University, Canada, that familiarizes them with the ethical and legal aspects of teaching. In particular, it focuses on the key design decisions that were made, emphasizing how these were also deeply pedagogical considerations, including: (1) a modular menu and content structure which, in combination with a user-enabled progress tracking system, allows for non-linear, entirely student-directed progress through the site; (2) accessible and engaging, rather than dense and jargonistic content, redesigned around the spatial economy of the site; and (3) a series of animated legal case stories that moves content delivery from a narrowly propositional mode to one driven by narrative and play. The article concludes with a discussion of how these attempts at enacting ‘pedagogic interactivity’ – a unity of pedagogy and design – were undermined by the introduction of an evaluative component requiring students to achieve and submit a score. The ‘ELSE’ (Ethics and Legal Studies in Education) tutorial site illustrates what types of innovations in instructional design in what has been broadly termed ‘e-learning’ are made possible by subverting the conventional dichotomy between content and delivery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".