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Record W4417413465 · doi:10.5430/ijhe.v14n6p125

Developing Transferable Skills: Does Disciplinary Topic Matter?

2025· article· W4417413465 on OpenAlexaffvenue
Daniel Gillis, Soha Eid Moussa, Steve Mattucci, Sara M. Fulmer, Shoshanah Jacobs

Bibliographic record

VenueInternational Journal of Higher Education · 2025
Typearticle
Language
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsTransferable skills analysisRelevance (law)Experiential learningDisciplinePoint (geometry)PerceptionCapstone

Abstract

fetched live from OpenAlex

Transferable skills are essential for student success beyond graduation, yet they are not often explicitly taught or assessed in postsecondary education. This study evaluated the effectiveness of a 50-minute workshop designed to explicitly teach scientific inquiry as a transferable skill to first-year undergraduate students in a biodiversity course. The workshop, delivered in either a biology-specific or general context, emphasized active, experiential learning.A mixed-methods post-workshop survey assessed student perceptions through Likert-scale items, open-ended responses, and knowledge-based questions. Students in both contexts reported high satisfaction, perceived the workshop as beneficial for their skill development, and recognized the relevance of scientific inquiry beyond the course. Students in the general-context workshop outperformed those in the biology-context on knowledge-based questions, suggesting general contexts may better support initial understanding through relatable examples. However, more biology-context students agreed that the skill learned is applicable beyond formal education. Students identified peer collaboration as a strength but noted challenges with the virtual format—particularly Zoom breakout rooms—highlighting the importance of thoughtful online learning design. This research contributes to ongoing discussions about how best to teach transferable skills in higher education. We recommend introducing these skills early in general contexts, then reinforcing them across disciplinary and interdisciplinary courses, with explicit integration into learning outcomes and assessments. These findings offer practical guidance for designing inclusive and intentional skill development in undergraduate education. The research presented here explores the topic at a single point in time – an undergraduate student’s first year of higher education. Further research is needed to examine how students’ perceptions of skill development in different instructional contexts evolve across stages of their academic careers. Transferable skills are essential for student success beyond graduation, yet they are not often explicitly taught or assessed in postsecondary education. This study evaluated the effectiveness of a 50-minute workshop designed to explicitly teach scientific inquiry as a transferable skill to first-year undergraduate students in a biodiversity course[MOU1] . The workshop, delivered in either a biology-specific or general context, emphasized active, experiential learning.A mixed-methods post-workshop survey assessed student perceptions through Likert-scale items, open-ended responses, and knowledge-based questions. Students in both contexts reported high satisfaction, perceived the workshop as beneficial for their skill development, and recognized the relevance of scientific inquiry beyond the course. Students in the general-context workshop outperformed those in the biology-context on knowledge-based questions, suggesting general contexts may better support initial understanding through relatable examples. However, more biology-context students agreed that the skill learned is applicable beyond formal education. Students identified peer collaboration as a strength but noted challenges with the virtual format—particularly Zoom breakout rooms—highlighting the importance of thoughtful online learning design. This research contributes to ongoing discussions about how best to teach transferable skills in higher education[MOU2] [SJ3] . We recommend introducing these skills early in general contexts, then reinforcing them across disciplinary and interdisciplinary courses, with explicit integration into learning outcomes and assessments. These findings offer practical guidance for designing inclusive and intentional skill development in undergraduate education. The research presented here explores the topic at a single point in time – an undergraduate student’s first year of higher education. Further research is needed to examine how students’ perceptions of skill development in different instructional contexts evolve across stages of their academic careers[MOU4] [SJ5] . [MOU1]In the theoretical study, it is best to write down the reasons that are the object of the training which lasts 50 minutes. [MOU2]How this stage is carried out [SJ3]Using a mixed-methods survey as described above and in the methods [MOU4]Add research results according to the problem [SJ5]Done, thank you

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.032
GPT teacher head0.450
Teacher spread0.418 · 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 designNot applicable
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

Citations0
Published2025
Admission routes2
Has abstractyes

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