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Record W2959517998 · doi:10.5430/ijhe.v8n4p98

Early Incorporation of Entrepreneurship Mindset in An Engineering Curriculum

2019· article· en· W2959517998 on OpenAlex
Mehran Andalibi

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Higher Education · 2019
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsnot available
Fundersnot available
KeywordsMindsetRubricCurriculumEntrepreneurshipClass (philosophy)Mathematics educationEntrepreneurship educationCreative problem-solvingCreativityAnalytical skillEngineering managementEngineeringComputer sciencePedagogyPsychologyPolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

In the study herein aimed at incorporating the entrepreneurship mindset early on in the engineering curriculum of undergraduate students via a final project of an introductory programming course with MATLAB. Students were asked to find a need on campus, in the society, or in the market with a business potential and write a standalone application to solve that problem. Prior to the start of project, students were required to study an online module developed by KEEN on generating new ideas in which they learned the definitions and differences between an idea and an opportunity, and different methods of recognizing business opportunities, followed by online quizzes. The study found that students were interested in learning about entrepreneurship and using the technical skills learned in class to solve a real-world problem with potential business opportunities; they enjoyed the course material more and it reinforced their learning of previous topics; and more importantly, it attracted students’ attentions toward self-employment. Pre- and post-assessment of creative thinking using standard AACU rubrics also showed a significant increase in the levels of students’ creative thinking skills due to participation in this project

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.242
Teacher spread0.236 · 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