Towards Increasing Upper Egyptian Student Teachers’ Potentials to Emerge into the 21st Education Platform
Bibliographic record
Abstract
The Ministry of Education in Egypt (MOE) has worked very hard to launch different initiatives to improve the Egyptian education system by using Information and Communication Technology (ICTs). The current research seeks to explore how Asyut student teachers perceive the upshots of these initiatives. Results are expected to shed light on the overall teacher education process in Asyut University and its role in preparing 21st century teachers. The current research is evolved to answer the following questions: 1) How Asyut student teachers describe their investment of ICTs to achieve academic purposes? 2) How Asyut student teachers describe their ICTs competencies? 3) How Asyut student teachers classify obstacles hindering the enhancement of their ICTs competencies? Results authenticate the growing awareness Asyut student teachers developed about ICTs and how it has become a substantial component of everyday 21st century education experience. They understand that it has become their gateway to the 21st century teaching platform. In the meantime, they recognize that their ability to successfully integrate ICTs into their teaching practice is a complex and multifaceted process. The current research adds to the body of literature in a few ways. Through analyzing the gains and drawbacks, Egyptian teacher education experienced in its attempt to integrate ICTs into teachers’ preparation process. The current research recommends: first, improving the existing training mechanism; second, ensuring funds will have the biggest impact on the largest number of student teachers; finally, getting training right is a priority.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".