Embedding entrepreneurship and technology literacy in the student curriculum: A case study of a module for real estate students
Bibliographic record
Abstract
Ensuring a pedagogical emphasis on practical entrepreneurial experiences and technology literacy is essential across all educational stages. This paper presents a pioneering case study of curriculum innovation in higher education, specifically within real estate and planning programmes. The ‘Managing Change in the Real Estate Sector’ module is examined as a transformative initiative that integrates entrepreneurship and technology literacy in a subject-specific curriculum. Leveraging experiential learning principles, the module design addresses industry demands and aligns with contemporary educational paradigms. The systemic impact of the module is explored at the student, curriculum, and wider university levels. The study reveals positive outcomes, marked by enhanced student satisfaction, skills development, and industry engagement. The impact extends beyond the classroom, influencing curriculum design and receiving commendation at both internal and external levels. The paper concludes by discussing the broader implications for higher education, emphasising adaptability and innovation.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".