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Record W4281253478 · doi:10.5430/jct.v11n4p184

Development of Core Competencies for University Students during the Pandemic, Crisis of Public Health

2022· article· en· W4281253478 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.

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

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCore competencyCreativityScale (ratio)Medical educationGlobalizationPsychologyCore KnowledgeMedicineKnowledge managementManagementComputer sciencePolitical scienceSocial psychologyGeography

Abstract

fetched live from OpenAlex

Future competency is a necessary condition for securing the competency of college students who lead the changed era. Therefore, this study was conducted to derive core competencies reflecting future competencies and to develop diagnostic tools. To this end, the reliability and validity of the draft questionnaire prepared after reviewing previous studies and receiving reviews from experts were secured. The survey was conducted for 983 college students from April 12 to 16, 2021, and the final 75 questionnaires were confirmed through statistical verification. Through the collected data, potential profiles with heterogeneous characteristics based on core competencies were classified into three, and the characteristics of each potential group profile were confirmed. The main analysis results are as follows. First, the five core competencies (humanities competency, communication competency, globalization competency, creativity competency, professionalism competency) consists of 15 sub-competencies and 75 questionnaires. Second, the improved K-University core competency scale has secured validity after verifying the improvement plan through the expert meetings and surveys. Third, based on the improved K-University Core Competency Diagnosis scale, the overall average of core competencies was 3.85, communication competencies 3.99, creativity competency 3.96, humanities competencies 3.85, professionalism competencies 3.85, and globalization competencies 3.58. Furthermore, a total of three analyzing the latent profile through the core competency diagnosis result, a total of three latent profiles (upper group, middle group, and lower group) were identified. Through the analysis results, a new core competency diagnostic scale was developed by reflecting the educational goals, vision, and future capabilities of the university. Through the results of this study, other higher education institutions will also be able to raise their interest in the future competencies of university students and provide competency-based curriculum to enhance the quality and effectiveness of education.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.068
GPT teacher head0.360
Teacher spread0.292 · 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