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Record W2083495412 · doi:10.4236/ce.2014.54025

Measuring the Effectiveness of Faculty Facilitation Training in Problem-Based Learning in a Medical School

2014· article· en· W2083495412 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

VenueCreative Education · 2014
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsFacilitationTUTORPsychologyMedical educationPerceptionLearning stylesScale (ratio)Mathematics educationMedicine

Abstract

fetched live from OpenAlex

This study examined the effectiveness of a faculty training program for problem-based learning (PBL) facilitation. A multi-level approach was used, following Kirkpatrick’s levels for assessing training effectiveness. Data were obtained from (1) tutor training workshop evaluations, (2) a survey of tutors’ attitudes and beliefs, (3) changes in tutors’ perceptions of their teaching styles through pre- and post-testing using the Teaching Styles Inventory (TSI), (4) changes in student attitudes and self-perceptions of their learning styles through pre- and post-testing using the Self-directed Learning Readiness Scale (SDLRS) and the revised Study Process Questionnaire (SPQ). The authors contend that measures were obtained for Kirkpatrick levels 1, 2, and 4 (Reaction, Learning, and Results, respectively) but that no measure of Kirkpatrick level 3 was completed. Overall, it was concluded that the training program was successful as measured at Kirkpatrick level 1 but was equivocally successful as assessed at higher levels in Kirkpatrick’s model. In addition to drawing conclusions regarding the training program for facilitators in PBL, limitations and challenges associated with assessment at each level are highlighted.

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)0.005
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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