Ahmed M. Elshewey
Papers
1
Total Citations
2
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1
About
Dr. Ahmed M. Elshewey is a rising scholar at the intersection of artificial intelligence and STEM education, with a primary focus on predicting and enhancing student engagement with emerging technologies. His most-cited work, "Exploring Students' Attitudes Towards Robotics Technology in STEM Education: A Machine Learning-Based Prediction Analysis" (2024), represents a pioneering effort to forecast student acceptance of robotics in future curricula. In this study, Dr. Elshewey designed a two-week project-based learning intervention where students directly engaged with robotics, then employed machine learning models to analyze their post-program attitudes. His contributions are significant for education researchers and policymakers seeking data-driven methods to integrate robotics into classrooms effectively. While his citation count is currently modest—reflecting the recency of his work—the study's practical implications for personalized learning and technology adoption in STEM mark him as an innovator in educational data science. Dr. Elshewey’s research bridges predictive analytics with hands-on pedagogy, offering a replicable framework for assessing technological readiness among students. As his work gains traction, it promises to shape how educators leverage AI to tailor STEM experiences, making him a researcher to watch in the evolving landscape of tech-enhanced learning.
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Top Papers
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