Published Date : 23/10/2025
Information technology (IT) has revolutionized the educational landscape by offering capabilities that traditional methods cannot match. With the advanced graphic and image processing functions of IT, educators can simulate and reproduce specific scenarios to enhance student engagement and understanding. However, there is a noticeable gap in literature that specifically addresses AI-driven IT-assisted teaching. This article aims to fill that gap by providing a comprehensive analysis of the attributes that characterize the effective integration of AI technologies into learning analytics applications and tools in IT-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 primarily focus on students' cognitive engagement. These tools leverage communicative discourse, behavioral, and assessment data to present results and visualizations. Despite the variety of feedback forms provided, there is a lack of design principles to guide the tool development process.
The integration of big data and AI into education can significantly contribute to the personalized development of education, the innovation of teaching methods, the reform of the evaluation system, and the optimization of faculty. This integration realizes the optimal allocation of educational resources, precise analysis of educational data, and instant feedback of educational interaction. It provides both theoretical and practical guidance for the innovative development of K-12 education in the era of big data.
However, several challenges must be addressed to fully realize the potential of AI and IT in education. These challenges include data security, technical maintenance, teacher transformation, and policy support. Ensuring the privacy and security of student data is paramount. Additionally, continuous technical support and maintenance are essential to keep the systems running smoothly. Teachers need to be trained and supported to effectively integrate these technologies into their teaching practices. Policy support at both institutional and governmental levels is crucial to facilitate the widespread adoption of these innovations.
In conclusion, the integration of AI and IT in teaching and learning offers immense potential to enhance educational outcomes. By addressing the identified challenges and leveraging the strengths of these technologies, educators can create more engaging, personalized, and effective learning experiences for students. This article provides a foundational understanding and practical guidance for educators, researchers, and policymakers to navigate the evolving landscape of digital education.
Q: What are the primary benefits of AI and IT in teaching and learning?
A: The primary benefits include enhanced student engagement, personalized learning experiences, precise data analysis, and instant feedback, which can lead to improved educational outcomes.
Q: What are the main challenges in integrating AI and IT in education?
A: The main challenges include data security, technical maintenance, teacher transformation, and policy support. Addressing these challenges is crucial for the successful implementation of AI and IT in education.
Q: How does AI contribute to the personalization of education?
A: AI can analyze vast amounts of educational data to provide personalized learning paths, tailored feedback, and adaptive assessments, ensuring that each student receives an education that meets their individual needs.
Q: What role do teachers play in AI and IT-assisted teaching?
A: Teachers play a vital role in facilitating the integration of AI and IT in the classroom. They need to be trained to effectively use these technologies and adapt their teaching methods to leverage the benefits of AI and IT.
Q: What is the future outlook for AI and IT in education?
A: The future outlook is promising, with ongoing advancements in AI and IT leading to more sophisticated and effective educational tools. Continued research and collaboration between educators, technologists, and policymakers will be essential to realize the full potential of these technologies in education.