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Record W4294176235 · doi:10.5539/jel.v11n6p48

Career Skills and Entrepreneurship for Students by Collaborative Project-Based Learning Management Model

2022· article· en· W4294176235 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 Education and Learning · 2022
Typearticle
Languageen
FieldComputer Science
TopicEngineering Education and Technology
Canadian institutionsnot available
FundersKing Mongkut's University of Technology North BangkokChiang Mai UniversitySuan Dusit University
KeywordsInternshipEntrepreneurshipPsychologyTeamworkFocus groupMedical educationGroup workPedagogyPopulationData collectionMathematics educationSociologyManagementMedicine

Abstract

fetched live from OpenAlex

The research titled career skills and entrepreneurship for students by collaborative project-based learning management model aimed to study the results of learning management to develop students to have career skills and entrepreneurship by collaborative project-based pedagogy. The population consisted of 15 undergraduates who were teacher students at the Business Education Program, the Faculty of Education, Chiang Mai University, Thailand. This group of students had to attend an internship at schools after enrolling in this course in, and they had to teach career subjects at schools. The instruments used for data collection consisted of a lesson plan for the self-employment course, a behavior observation form, a journal form after teaching, student products from assignment tasks, students’ reflections in a journal, an in-depth interview, a focus group, and a questionnaire to gauge the level of satisfaction of students, writing and presenting reflections on students’ learning, and projects evaluation. The research separated students into three groups upon their interests, each group was composed of 5 students volunteer, they learned better in a small group. Students learned the theory of the self-employment program and the principles of project work step by step. After that, students studied field trips for data collection from career surveys and entrepreneurs’ interviews, and a special lecture from an entrepreneur, students conducted self-employment projects for selling products both on-site and online, then analyzed the results presented, to listen to suggestions for improvement, and developed knowledge and skills on the self-employment program. Data were analyzed by using content analysis, statistical calculation, and percentage, and were presented in the form of a description and table. The findings showed the results of the collaborative project-based learning to train students to have career skills and entrepreneurship and conduct projects for selling products successfully. The students had a change in their attitudes, behaviors, knowledge, career skills, and experiences in conducting self-employment projects, and their satisfaction with collaborative project-based learning showed at the highest level (100%). Students were satisfied with the project-based learning at the highest level (90%). and especially the opportunity to gain knowledge and experiences from conducting self-employ programs at the highest level (95%).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.254

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 head0.010
GPT teacher head0.298
Teacher spread0.288 · 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