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A Call for Expanding Inclusive Student Engagement in SoTL

2013· article· en· W2139287913 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTeaching & Learning Inquiry The ISSOTL Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsMcMaster University
FundersUniversity of the West of EnglandKing's College LondonMcMaster UniversityLoyola University ChicagoElon University
KeywordsTransformative learningRedressStudent engagementDiversity (politics)Scholarship of Teaching and LearningHigher educationPedagogySociologyWork (physics)Mathematics educationPsychologyPolitical scienceTeaching methodEngineeringTeaching and learning center

Abstract

fetched live from OpenAlex

Scholars in higher education increasingly recognize the transformative potential of student-faculty partnerships focused on inquiry into teaching and learning. However, some students tend to be privileged in SoTL initiatives while others are discouraged, implicitly or explicitly, from engaging in this work. In this paper, we consider why certain students tend to be excluded from SoTL, summarize the possible developmental gains made by students and faculty when diverse student voices are included, and highlight strategies for generating a more inclusive SoTL. We call for expanding student engagement in SoTL by encouraging a diversity of student voices to engage in co-inquiry with faculty. Inclusive engagement has tremendous potential to enhance student and faculty learning, to deepen SoTL initiatives, and to help redress the exclusionary practices that too often occur in higher 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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.450
Teacher spread0.371 · 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