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Record W4399893642 · doi:10.23977/aetp.2024.080414

Research on the application of online open course "Preventive Medicine" of clinical medicine major in higher vocational college based on job competency

2024· article· en· W4399893642 on OpenAlexvenueno aff

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsStatus quoVocational educationCompetence (human resources)Medical educationPsychologyMathematics educationPedagogyMedicinePolitical scienceSocial psychologyLaw

Abstract

fetched live from OpenAlex

The article discusses in detail the research on the application of the online open course of Preventive Medicine in the clinical medical specialty of higher vocational colleges. Aiming at the current educational status of the clinical medicine specialty in higher vocational colleges, the article emphasizes the importance of improving students' job competence. In order to achieve this goal, the application practice of the online open course in the key aspects of course design, implementation, management and evaluation was systematically analyzed. The results of the study show that through the introduction of online open courses, not only can it effectively improve students' learning interest and classroom participation, but also significantly enhance their sense of independent learning and teamwork ability. More importantly, this teaching mode has a positive effect on students' job competence. The research results of the article not only provide a strong theoretical support for the educational reform of the clinical medicine specialty in higher vocational colleges, but also provide valuable references for the research and practice in related fields, which is expected to promote the overall improvement of teaching quality and students' learning effect.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.134
GPT teacher head0.607
Teacher spread0.473 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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