Career Skills and Entrepreneurship for Students by Collaborative Project-Based Learning Management Model
Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".