Needs Assessment for the Development of Entrepreneurship Curriculum for a Master’s Degree Program
Bibliographic record
Abstract
The objective of this study is to study the opinion of entrepreneurs toward an entrepreneurship degree, to study the opinion of bachelor’s degree students toward a master’s degree in entrepreneurship, and to study the guideline for a master’s degree in an entrepreneurship program. In this study, we used the quantitative method within the questionnaire provided to entrepreneurs and bachelor’s degree students, and we analyzed the results using mean and standard deviation. We also utilized a qualitative method using small group discussion by inviting five academics to discuss the guidelines for a master’s degree in an entrepreneurship program. The results of this study show that the entrepreneurial skills most required are communication and collaboration, the skill of teamwork is higher amongst graduates from master degree programs, and that most bachelor degree students who wish to study in the graduate program think about job opportunities first (in both the public and private sector) and hope that graduate study will increase their knowledge, skills, experience from knowledge and knowledge-sharing in class, and will result in a new way of thinking. In addition, problem-based learning and active learning are very important for a master’s degree program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".