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Participant perceptions of the faculty development Educational Research Series

2020· article· en· W3011211301 on OpenAlexaboutno aff
Nancy Dalgarno, Rylan Egan, Kendall Garton, Eleftherios Soleas, Jordan Babando, Richard van Wylick

Bibliographic record

VenueTeaching & Learning Inquiry The ISSOTL Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsnot available
Fundersnot available
KeywordsFacilitatorFocus groupMedical educationGrassrootsScholarshipMultidisciplinary approachFaculty developmentScholarship of Teaching and LearningSession (web analytics)PsychologyPedagogyProfessional developmentSociologyTeaching methodComputer scienceMedicinePolitical scienceTeaching and learning center

Abstract

fetched live from OpenAlex

Interest in the Scholarship of Teaching and Learning (SoTL) is driven in part by the need to provide systematic academic development for faculty anchored in evidence-based practice such as the introduction of quality assurance frameworks. This article reports on a mixed-method evaluation of one institution’s grassroots multidisciplinary faculty development program, called the Educational Research Series, to determine if it met the needs of its faculty, graduate student, and staff participants. Conducted at one mid-sized university in southern Ontario and framed, as was the program design and implementation, by both adult learning theory and constructivism, the evaluation collected data from session exit surveys, attendee interviews, and facilitator focus groups. The data analysis revealed that reasons for participating included increasing levels of understanding, receiving individual support, and learning about colleagues’ research interests. The major strengths of the program included individual learning, resources, facilitator expertise, interactive sessions, and the multidisciplinary focus. The main challenges centered on depth versus breadth of the sessions, time, and educational language and theory. Participants recommended additional resources, communication among facilitators, institutional recognition, and increased depth of content. As a result of this evaluation, an Advanced Educational Research Series is being offered at the institution. This article will inform other institutions wishing to build SoTL as a field within their institutions.

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.

How this classification was reachedexpand

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)0.009
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.391
GPT teacher head0.528
Teacher spread0.137 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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