학술논문
对话式通用人工智能教育应用的机理、场景、挑战与对策 / The Mechanism, Scenarios, Challenges and Countermeasure of Conversational Artificial General Intelligence in Education
Document Type
Article
Author
陈凯泉 / Chen Kaiquan; 胡晓松 / Hu Xiaosong; 韩小利 / Han Xiaoli; 牛翠琰 / Niu Cuiyan; 韩羽 / Han Yu; 王宪廷 / Wang Xianting; 张凯 / Zhang Kai; 吕伟刚 / Lv Weigang
Source
远程教育杂志 / Journal of Distance Education. Issue 2023年03, p21-41. 21 p.
Subject
Language
簡體中文
英文
英文
Abstract
The rapid development of Conversational Artificial General Intelligence (CAGI) represented by ChatGPT provides new tools and platforms for the application of AI education and the digital transformation of education and teaching. Education chatbots based on CAGI show significant advantages in supporting adaptive learning. The teaching system formed based on this is a new stage and form of Dialogue Based Teaching System (DBTS) development in the history of Artificial Intelligence in Education (AIED). Education chatbots can not only play the role of tutor, assistant, partner, and evaluator for students, but also assist teachers in generating high-quality teaching design solutions, professional development, and constructing a truly dual classroom. CAGI has been widely applied in multiple stages and contexts such as early childhood and preschool education, K12 education, higher education, adult education, and venue education, showing positive effects on learners' grades, learning engagement, cognitive and metacognitive levels, and learning abilities. Due to the problems such as data protection, feedback information distortion and information bias that still exist in the current technological development stage of CAGI, the educational application of education chatbots faces significant challenges. Therefore, the industry and academia should also explore and practice in promoting technological progress, formulating ethical rules and providing practical training guidance.