Integration of AI Technology and ZPD: Pinpointing the Zone of Student Development to Promote Educational Innovation and Efficiency Improvement

Abstract

In the era of rapid technological advancement, AI has profoundly penetrated various sectors of society, including education. This paper explores the positive impact of AI on students' Zone of Proximal Development (ZPD), aiming to assist teachers in making more accurate judgments regarding multiple students' ZPDs and thereby enhancing educational teaching. The findings reveal that AI technology, through its application in ZPD, can provide personalized learning resources and assistance to students, as well as offer teachers appropriate teaching content and strategies tailored to students' needs. However, in the actual teaching process, the application of ZPD to teaching still faces difficulties related to students' individualization, sensitive emotions, and trust crises. Based on this, this paper puts forward the following suggestions. Teachers need to be actively trained in AI to overcome potential resistance from older educators. At the same time, teachers should focus on identifying further technological advances in ZPD and related areas to maximize the benefits of AI in education.