Artificial Intelligence Enables Information Technology Assisted Teaching

Yi Rong^1,2*Minghui Zhang³Lili Cui^4*

• ¹University of New South Wales, Kensington, Australia
• ²University of New South Wales, Sydney, Australia
• ³Cangzhou Medical College, Cangzhou, China
• ⁴Guilin University of Technology, Guilin, China

Information technology has technical advantages that traditional teaching methods cannot match. With the graphic and image processing functions of information technology, it can simulate and reproduce the specific situations needed in teaching to help students quickly enter the learning content. However, there is a lack of literature review focusing on AI-driven IT-assisted teaching. This paper provides a comprehensive analysis of the attributes that characterize the effective integration of AI technologies into learning analytics applications and tools in information-assisted collaborative learning environments and their impact. According to the screening criteria, 51 of the 310 articles initially identified between 2014 and 2024 were included in the final synthesis. The results indicate that existing tools focus primarily on students' cognitive engagement. Existing tools primarily use communicative discourse, behavioral, and assessment data to present results and visualizations. Although existing tools provide various feedback forms, they lack design principles to guide the tool design and development process. How big data and artificial intelligence can contribute to the personalized development of education, the innovation of teaching methods, the reform of the evaluation system, and the optimization of the faculty is discussed. Challenges and strategies to address them, such as data security, technical maintenance, teacher transformation, and policy support, faced by the platform are pointed out. It realizes the optimal allocation of educational resources, precise analysis of educational data, and instant feedback of educational interaction, providing theoretical and practical guidance for the innovative development of K-12 education in the era of big data.