Mahmoud I. Abd El Aziz
Papers
1
Total Citations
2
H-Index
1
About
Mahmoud I. Abd El Aziz is a forward-thinking researcher at the intersection of educational technology and artificial intelligence, with a primary focus on integrating robotics into STEM education. His most-cited work, "Exploring Students' Attitudes Towards Robotics Technology in STEM Education: A Machine Learning-Based Prediction Analysis" (2024), introduces a novel predictive framework that leverages machine learning to forecast student acceptance of robotics in future teaching plans. By designing a two-week project-based learning intervention, Abd El Aziz not only gauges student engagement but also provides educators with data-driven insights to tailor curricula. This study, already garnering 2 citations shortly after publication, underscores his commitment to bridging hands-on learning with computational analysis. His contributions are particularly notable for their practical implications: they offer a scalable model for schools to assess and enhance the integration of robotics, a critical component of modern STEM education. Abd El Aziz’s work stands out for its methodological rigor and its potential to shape how educators predict and foster student enthusiasm for emerging technologies, making him a rising voice in the field of technology-enhanced learning.
Research Focus
Key Achievements
Top Papers
- 1