Artificial Intelligence-Powered Virtual Agent for Computer Science Education: Current Practices and Research Avenues (Poster 1)

• In Event: AERA Poster Session Sunday 8:00 a.m.
  In Poster Session: AI as an Agent of Change in Teaching and Learning

Abstract

Generative artificial intelligence (AI) has revolutionized human lives and learning experiences. Its potential to transform teaching and learning is immense, offering innovative solutions to various challenges, including in computer science (CS) education. This study systematically reviewed literature to provide an updated account of generative AI and large language models, focusing on AI-powered virtual agents for CS education. The purpose was to distill current practices and research avenues to inform future work. Results revealed three key aspects: 1) AI technological advances in virtual agents for coding practices, 2) Pedagogical design for cognition and learning, and 3) Individual cognitive processing vs. human-AI collaborative learning landscapes. The findings illuminate the design of AI-powered virtual agents for CS education and highlight the research needs.

Author

• Chih-Pu Dai, Texas A&M University