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Record W3107814099 · doi:10.19173/irrodl.v21i4.4895

Identifying Student Perceptions of Different Instantiations of Open Pedagogy

2020· article· en· W3107814099 on OpenAlex
John Hilton, Bryson Hilton, Tarah K. Ikahihifo, Reta Chaffee, Jennifer J. Darrow, JoAnn Guilmett, David Wiley

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2020
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsnot available
Fundersnot available
KeywordsSyllabusOpen educational resourcesOpen educationPerceptionPedagogyVariety (cybernetics)Open learningMassive open online courseMathematics educationEducational technologyPsychologyInstructional designOpen universityDistance educationTeaching methodComputer scienceCooperative learning

Abstract

fetched live from OpenAlex

As the adoption of open educational resources (OER) continues to increase, instructors have started using these resources for more than simply delivering content. Open pedagogy is a term used to describe a range of instructional practices that often incorporate OER into the learning process. This study examined student perceptions of two approaches to open pedagogy—student creation of multiple-choice questions and student creation of the syllabus and corresponding course assignments. The sample included responses from 84 students at two colleges in the United States. Results showed that students who created the syllabus and assignments had a more positive experience and were more likely to enroll in a future course that implements this strategy. Those in the multiple-choice course felt that the approach was less conducive to learning than traditional learning activities. The significant differences in student feedback on two different approaches, both of which could be termed open pedagogy, indicate that more research is needed to examine the efficacy of the wide variety of approaches to open pedagogy. Moreover, the perceived efficacy of one instantiation of open pedagogy does not equal the effectiveness of open pedagogy, broadly defined.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.584
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0040.004
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 head0.175
GPT teacher head0.519
Teacher spread0.345 · 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