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Record W2972738063 · doi:10.5334/jime.512

Open Education and Learning Design: Open Pedagogy in Praxis

2019· article· en· W2972738063 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

VenueJournal of Interactive Media in Education · 2019
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsUniversity of VictoriaSimon Fraser University
Fundersnot available
KeywordsOpen learningOpen educational resourcesOpen educationCourseworkPedagogyFormative assessmentEducational technologyAffordanceHigher educationContext (archaeology)Instructional designActive learning (machine learning)SociologyComputer scienceKnowledge managementTeaching methodCooperative learningPolitical science

Abstract

fetched live from OpenAlex

Beyond providing alternatives to traditional learning resources, there exists a gap in the literature in understanding how openness is impacting teaching and learning in higher education. This paper explores the ways in which educators describe how open education is impacting their pedagogical designs. Using a phenomenological approach with self-identifying open education practitioners, we explore how open educational practices (OEP) are being actualised in formal higher education in the context of British Columbia (BC), Canada. The findings suggest that OEP represent an emerging form of learning design, which draws from existing models of constructivist and networked pedagogy, while using the affordances of open tools and content to create and share learning in novel ways. Faculty members report finding ways to use open approaches and technologies to support and enable active learning experiences, present and share learners’ work in real-time, support formative feedback, peer review, and, ultimately, promote community-engaged coursework. By designing learning in this way, faculty members offer learners an opportunity to consider and practise developing themselves as public citizens, develop their knowledge and literacies for working appropriately with copyright and controlling access to their online contributions, while presenting options for extending some of those rights to others. Inviting learners to share their work more widely, demonstrates to them that their work has inherent value beyond the course and can be an opportunity for them to engage directly with their community.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0010.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.400
Teacher spread0.368 · 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