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Record W2320812668 · doi:10.4307/jsee.62.3_9

Implementation and Evaluation of a Logical Thinking Education for Undergraduate Students through Industry-Academia Collaboration

2014· article· en· W2320812668 on OpenAlex
Kei Kawamura, Tetsuya IMAMURA, Nobuyuki OHSHIMA, Yoshihiko Hamamoto

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

VenueJournal of JSEE · 2014
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsImmunoPrecise (Canada)
FundersYamaguchi University
KeywordsCompetence (human resources)Promotion (chess)Logical reasoningAgency (philosophy)EngineeringLogical analysisEngineering managementMedical educationMathematics educationEngineering ethicsPsychologyKnowledge managementComputer scienceMedicinePolitical scienceSociology

Abstract

fetched live from OpenAlex

In 2010, Department of Information Science and Engineering, Faculty of Engineering, Yamaguchi University started a logical thinking education for undergraduate students. In the subjects related to the education, students learn knowledge, skills and attitudes to foster their coherent and logical thinking abilities. These subjects were developed under the industry-academia collaboration promoted by Information-technology Promotion Agency (IPA) . This paper describes the implementation of the education and the evaluation of the educational efficiency. It contains designing educational contents and materials that reflect company needs. Emphasizing the educational effectiveness, the questionnaire results of the subject evaluation and the competence self-evaluation are included in this paper. The competence is a set of the defined behaviors that show the ability of an individual to do a job properly.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.059
GPT teacher head0.444
Teacher spread0.384 · 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