Zahraa Tarek
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zahraa Tarek is a rising scholar at the intersection of educational technology, artificial intelligence, and STEM pedagogy. Her research centers on predicting and understanding student attitudes toward emerging technologies, particularly robotics, within project-based learning environments. In her most-cited work, "Exploring Students' Attitudes Towards Robotics Technology in STEM Education: A Machine Learning-Based Prediction Analysis" (2024), Dr. Tarek developed a predictive model to determine students' acceptance of robotics in future teaching plans. This study, which has already garnered 2 citations, involved a two-week immersive project-based learning program where students engaged directly with robotics technology. By applying machine learning techniques to analyze attitudinal data, she provides educators with a data-driven framework to anticipate and foster student engagement with robotics. Her work is pivotal for curriculum designers seeking to integrate hands-on, technology-driven learning experiences effectively. Dr. Tarek’s contributions are particularly timely as educational systems worldwide increasingly adopt AI and robotics tools, and her predictive approach offers a scalable method to tailor STEM instruction to diverse learner needs.
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Top Papers
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