University Changes in the 4.0 Educational Era: A Study into Moroccan Students' Interests
Bibliographic record
Abstract
Faced with the challenges presented by the transition to Industry 4.0, deep and rapid transformation is required for higher education to meet the demands of the fourth industrial revolution. This article aims to investigate students' perceptions of various components of their academic ecosystem. our study is interested in examining the preferred teaching models, competencies, and fields of study that higher education should develop and national/international mobility. A questionnaire survey was conducted using a quantitative approach to collect students' perceptions; 97 students from Hassan 2 University participated in the study. The findings indicate that students are interested in blended learning, that they require programs to build their managerial and employability skills, that mobility is a fundamental element of education 4.0, and that its impact on employability development is recognized. The study enhances our understanding of higher education students' interactions within their university ecosystem. This study might be beneficial for policymakers and educational decision-makers in the transformation toward a university 4.0.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".