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Record W4391657703 · doi:10.18260/1-2--39252

Links among student club projects, senior design projects, and international competition projects, a case study

2024· article· en· W4391657703 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSystems Engineering Methodologies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsCurriculumCompetition (biology)Scope (computer science)Engineering managementEngineeringTeamworkProject managementProject managerClubProject-based learningKnowledge managementManagementComputer scienceSociologyPedagogy

Abstract

fetched live from OpenAlex

Abstract Links among student club projects, senior design projects, and international competition projects, a case study Abstract: xxxx University is a teaching orientated university without Engineering Ph.D. programs. How to engage undergraduate students in research projects, especially extra-curriculum research projects is challenging from multiple aspects, including financial support, faculty advising support, students' motivation, and resources. This paper presents our successful experience so far with a series of student projects from different entities in three years period from 2018 to 2021, such as IEEE student club and regional competition projects, senior design projects solving local community and industrial problems, and international intelligent ground vehicle competition projects, etc. These projects originated from different opportunities and evolved in variable ways. Yet they link among each other in terms of scope, content, and engineering knowledge. They all bare the commonly important threads of Engineering education, namely student engagement, hands-on experience, real world design and application, as well as teamwork, time management skills, and project management skills. Detailed information of each sample project, the evolution from one project to another, the common thread linking all projects together, factors that contribute to the progress of the projects and students experience, involvement of community and industry, internal and external grant, as well as the relationship to engineering curricula will be presented. This paper will also discuss lessons learned for duplicating the experience, on-going projects, a new technical elective course "intelligent vehicle essentials", and our roadmap for the next few years to sustain two parallel platforms for education and research.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.084
GPT teacher head0.328
Teacher spread0.243 · 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