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Record W4395452848 · doi:10.1080/03043797.2024.2346344

A scoping literature review of sociotechnical thinking in engineering education

2024· article· en· W4395452848 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

VenueEuropean Journal of Engineering Education · 2024
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociotechnical systemEngineering educationVariety (cybernetics)Engineering ethicsIdentity (music)EngineeringComputer scienceKnowledge managementEngineering managementArtificial intelligence

Abstract

fetched live from OpenAlex

Sociotechnical thinking (STT) has recently emerged in response to technical-social dualism. It is defined as the ability to identify, address, and respond to both social and technical dimensions of engineering. As the number of publications on STT increases, so does the need to map the literature. This paper provides a scoping literature review of STT in engineering education, focusing on research purposes, methodologies, findings, and potential gaps. Our examination of 25 papers indicates that research on STT in engineering education covers a variety of purposes and methodologies. Key findings in the literature provide a better understanding of students’ demonstration of and barriers to developing STT, the intersections between STT, engineering identity and culture, characteristics of STT, challenges and opportunities for teaching STT, and how prior knowledge and emotional connections can facilitate students’ development of STT.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.242
Teacher spread0.237 · 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