Alia Afyouni
Papers
1
Total Citations
2
H-Index
1
About
Alia Afyouni is a researcher whose work explores the intersection of educational technology, human-computer interaction, and inclusive learning environments. Her primary research focuses on evaluating the effectiveness of telepresence robots in hybrid learning settings, particularly for students who cannot attend classes in person. In her most-cited study, "Evaluating Students’ Experiences in Hybrid Learning Environments: A Comparative Analysis of Kubi and Double Telepresence Robots" (2023), Afyouni provides a nuanced comparison of two popular telepresence systems, examining how each impacts student engagement, social presence, and overall learning experience. This work, which has already garnered early citations, contributes critical insights for educators and technologists seeking to design more equitable remote participation tools. Afyouni’s research addresses a pressing need in post-pandemic education: ensuring that hybrid models do not disadvantage remote learners. By systematically analyzing user experiences with specific robotic interfaces, she offers practical recommendations for improving accessibility and interaction quality. Her findings are particularly valuable for institutions implementing telepresence solutions, as they highlight the trade-offs between mobility, usability, and social connection. Afyouni’s work positions her as an emerging voice in the field of inclusive educational technology, with implications for both classroom practice and the future design of remote learning tools.
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Top Papers
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