The Utilization of Educational Robotics in Saudi Schools: Potentials and Barriers from the Perspective of Saudi Teachers
Bibliographic record
Abstract
Objective: The study aims to determine the barriers and potentials of educational robotics in Saudi schools based on the perceptions of Saudi school teachers. Methods: Both qualitative and quantitative research approaches were opted to assess the aim of the study. An open-ended survey has been conducted among the teachers, who use robotics in their teaching practices. Chi-square test was applied to evaluate the significance of participant’s opinion and the association between their characteristics and responses to the survey items. Thematic analysis was further used to evaluate the results qualitatively. Results: Lack of knowledge was observed regarding robotics’ application in education. Utilizing robots in education has a positive impact on students’ education in Saudi schools. Lack of skills, knowledge, teaching strategies, incentives, adequate infrastructure and policies related to the use of robotics were evaluated as some barriers. Conclusion: Saudi government engaged with the ministry of education must put more efforts to promote the use of robotics in Saudi educational system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".