Stevany

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About

Stevany is a leading researcher in the intersection of artificial intelligence and education, with a primary focus on human-computer interaction and pedagogical agent design. Her most significant contribution is the groundbreaking multilevel meta-analysis, "Effects of social cues of artificial intelligence-powered pedagogical agents," which synthesizes decades of research to reveal how subtle social signals—such as voice tone, facial expressions, and conversational style—in AI tutors can dramatically enhance student engagement and learning outcomes. This work, already garnering 2 citations within its first year of publication, provides a critical framework for designing more effective and empathetic AI learning companions. Stevany’s research not only advances theoretical understanding of social cue processing in educational technology but also offers actionable guidelines for developers and educators. Her work is particularly notable for its rigorous methodological approach, employing multilevel modeling to disentangle complex interactions between agent design and learner characteristics. As AI becomes increasingly integrated into classrooms, Stevany’s insights are poised to shape the next generation of intelligent tutoring systems, making her a vital voice in the future of personalized, socially-aware education.