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Enhancing Student Motivation and Engagement Through the Use of a Slovenian-Speaking Social Robot AlphaMini

Daniel Hari, Vesna Skrbinjek, Andrej Flogie

Year
2025
Citations
2
Access
Open access

Abstract

The integration of Artificial Intelligence into education is transforming how abstract and complex concepts are delivered, especially through embodied tools like social robots. This study examines the impact of AlphaMini, a Slovenian-speaking social robot supported by model ChatGPT 4o and trained on structured book-based content, on student engagement during knowledge management lessons. A case study approach was used, including student questionnaires, classroom observations, and post-session discussions, with 70 university students from diverse academic fields. Engagement was assessed across behavioral, emotional, and cognitive dimensions, with comparisons based on prior robot experience. Results show AlphaMini significantly enhanced emotional and behavioral engagement, with moderate cognitive gains. Students familiar with social robots demonstrated higher engagement, interacting more naturally and actively. Informal feedback highlighted positive attitudes toward AlphaMini, especially among students who regularly use generative AI tools like ChatGPT or Copilot. Participants appreciated its human-like gestures, Slovenian language use, and emotionally supportive presence. Many suggested its potential use in primary and inclusive education, where emotional safety and playful interaction are crucial. This study contributes to the growing evidence on AI in education, showing that combining generative AI with social robotics can foster motivation, participation, and emotionally rich learning experiences.

Keywords

Embodied cognitionSocial robotCognitionSocial cognitive theoryStudent engagementRobotSocial cognitionGenerative grammarRobotics

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