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Record W189939679 · doi:10.20429/ijsotl.2009.030209

Developing Useful and Transferable Skills: Course Design to Prepare Students for a Life of Learning

2009· article· en· W189939679 on OpenAlex
Christopher Justice, James Rice, Wayne Warry

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

VenueInternational Journal for the Scholarship of Teaching and Learning · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTransferabilityMathematics educationTransfer of trainingPsychologyTransferable skills analysisMedical educationSample (material)NarrativeTransfer of learningPedagogyHigher educationComputer scienceMedicine

Abstract

fetched live from OpenAlex

This article examines evidence of academic skill development and transfer related to the taking of a first year Inquiry-based seminar course designed to enhance a range of self directed learning skills and their transferability to other learning contexts. The study compares a sample of academic work from two groups of Social Sciences students, one comprised of students who had taken the Inquiry course and the other who had not. The student work consists of 1) papers submitted by participants who were asked for the best paper they had written at university and 2) descriptive narratives provided by participants of the steps they took in researching and writing that paper. Qualitative and quantitative analysis by multiple raters using a blinded protocol was conducted. The results show both meaningfully higher paper and skill assessments for students who had taken the inquiry seminar and evidence of transfer of skills and strategy to other learning contexts, supporting the hypothesis that transfer of core skills occurs under particular learning conditions that can be fostered through course design and enhanced through specific pedagogical objectives.

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)0.021
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.143
GPT teacher head0.491
Teacher spread0.348 · 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