Entrepreneurial Learning Based on the Zone of Proximal Development
Bibliographic record
Abstract
In this article, we establish a dialogue between the education and entrepreneurial learning literatures to explore entrepreneurship education and practice. Our aim is to understand how entrepreneurial learning unfolds, based on the concept of the Zone of Proximal Development (ZPD). We adopt a constructivist approach to explore entrepreneurial learning, grounded in Cultural-Historical Theory. A combination of narrative research, focus group, storytelling, and theatrical images comprises our methodological approach, which draws from 34 virtual meetings with 10 undergraduate students who are also startup founders in Brazil. Our results show that, in addition to knowledge that is systematized by the university, entrepreneurial learning at university encompasses social relationships and is rooted in the experiential heritage acquired by students before entering university. Significantly, we show that the ZPD is built through interactions with entrepreneurship educators, but also key actors (family members, professional acquaintaces, experienced entrepreneurs, peer student entrepreneurs). Moreover, we spotlight the importance of intentionally planning the activities of student entrepreneurs within the learning context.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".