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Record W2995416437 · doi:10.1186/s40561-019-0110-5

Practicalities of implementing open pedagogy in higher education

2019· article· en· W2995416437 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

VenueSmart Learning Environments · 2019
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsOpenness to experienceModalitiesOpen learningOpen educationKnowledge managementOpen educational resourcesPedagogyComputer scienceMathematics educationEngineering ethicsSociologyPsychologyTeaching methodEngineeringCooperative learningSocial science

Abstract

fetched live from OpenAlex

Abstract This paper presents findings from a study which explored the ways in which post-secondary educators in British Columbia are reforming their teaching and learning practice as result of open education. Using a phenomenological approach with self-identifying open education practitioners we explore how openness is being enacted through learning design. Structuration theory is used as a theoretical lens to explore innovations to pedagogy through three modalities, which include facilities, norms, and interpretive schemes. The analysis identifies how participants in this study draw upon these modalities to support openness in their teaching. The findings suggest that open educational resources and practices can support learner-centered educational designs and should be considered design technologies, those that have the capacity to enhance teaching and learning practice; rather than simply content delivery technologies, those that influence the cost and access to education.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.035
GPT teacher head0.350
Teacher spread0.315 · 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