Collaborative Learning with Artificial Intelligence Speakers (CLAIS): Pre-Service Elementary Science Teachers' Responses to the Prototype

Project Overview

The document explores the transformative role of generative AI in education, highlighting its key applications, findings, and outcomes. Generative AI is utilized to enhance personalized learning experiences, providing tailored content and adaptive assessments that cater to individual student needs. It is also employed in creating intelligent tutoring systems, which offer immediate feedback and support, thus improving student engagement and understanding. The use of AI-powered tools in content generation, such as quizzes and study materials, streamlines the educational process for both educators and learners. Furthermore, findings indicate that the integration of generative AI can lead to improved academic performance and motivation among students, as it fosters a more interactive and responsive learning environment. However, challenges such as ensuring data privacy, addressing biases in AI algorithms, and the need for teacher training in AI applications are also discussed. Overall, the document underscores the potential of generative AI to revolutionize education by making learning more accessible, efficient, and personalized while emphasizing the importance of addressing ethical and practical concerns associated with its implementation.

Project Team

Contact Information

For information about the paper, please contact the authors.

Authors: Gyeong-Geon Lee, Seonyeong Mun, Myeong-Kyeong Shin, Xiaoming Zhai

Source Publication: View Original PaperLink opens in a new window