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pro vyhledávání: '"Mollick, Lilach"'
Autor:
Mollick, Ethan, Mollick, Lilach, Bach, Natalie, Ciccarelli, LJ, Przystanski, Ben, Ravipinto, Daniel
This paper explores the potential of generative AI in creating adaptive educational simulations. By leveraging a system of multiple AI agents, simulations can provide personalized learning experiences, offering students the opportunity to practice sk
Externí odkaz:
http://arxiv.org/abs/2407.12796
Autor:
Mollick, Ethan, Mollick, Lilach
This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application
Externí odkaz:
http://arxiv.org/abs/2407.05181
Autor:
Mollick, Ethan, Mollick, Lilach
This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations. The authors propose seven approaches for utilizing AI in classrooms: AI-tuto
Externí odkaz:
http://arxiv.org/abs/2306.10052