MétaCan
Menu
Back to cohort

A Three-Party Case Study: Exploring the Value of Student Work in Co-creation in Teaching and Learning

2020· article· en· W3091908235 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

VenueTeaching & Learning Inquiry The ISSOTL Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)Student engagementValue (mathematics)Resource (disambiguation)Process (computing)Work (physics)Learning analyticsMedical educationPedagogyMathematics educationPsychologyKnowledge managementComputer scienceMedicineEngineeringData science

Abstract

fetched live from OpenAlex

In the context of a large first-year business course, we explore the value of student contributors, the former students from this course, working with faculty to improve the learning experience of the students enrolled in the course. By describing our study of the roles, impacts, benefits, and challenges of the student contributors’ involvement in creating supplemental resources, such as videos and practice problems, intended to augment the teaching process of the faculty and the learning process of the student learners, we contribute to the understanding of this three-party experience. Our study included interviews, survey questions, and resource-engagement analytics. We found that because student contributors can provide unique perspectives, greater inclusivity, and diverse approaches to teaching, there are benefits to the instructors, the student contributors, and the student learners.

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)0.020
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.006
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 head0.152
GPT teacher head0.430
Teacher spread0.278 · 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