Machine Learning-Driven Avatars in Education
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2024-05-03
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For new and existing educators, using virtual characters as pedagogical agents has been shown to increase learner engagement; however, many perceive this technique as costly and complex. Recent advances in machine learning-based facial action coding recognition have made implementing virtual characters into content more accessible and affordable than ever. Introduction to Virtual Avatars for Instruction is a course designed to bridge this gap and change educators’ attitudes about virtual character-led instruction. The course aimed to provide learners with the key technologies, terms, and examples needed to add virtual characters to instructional content. Results from participants (n = 15) showed an increased understanding of key terms and concepts. Attitudinal changes demonstrated a shift away from concerns regarding the cost and skills required to implement virtual characters.
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http://rightsstatements.org/vocab/InC-NC/1.0/
CC BY-NC 4.0
CC BY-NC 4.0
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