Year: 2024
Type: article
Abstract: The integration of artificial intelligence (AI) in education has garnered significant attention, yet its implications on student outcomes require further exploration. This paper analyzes the impact of AI-assisted teaching on students' learning and psychological well-being. Through a comprehensive review of existing AI applications in education, including intelligent tutoring systems and educational chatbots, the study examines how these technologies influence academic performance and psychological health. The findings indicate that AI-assisted teaching enhances learning outcomes by providing personalized educational experiences and fostering student engagement. Furthermore, AI systems contribute positively to students' psychological well-being by offering timely emotional support and personalized stress management strategies. However, challenges such as technological limitations, resistance to change, and privacy concerns persist. Based on these insights, the paper suggests actionable recommendations for the effective integration of AI in education, emphasizing the need for robust infrastructure, continuous educator training, and ethical considerations to maximize benefits while mitigating potential risks.
DOI: 10.54097/k7a37d11
Author: Yunyi Zhu
Institution: University of Washington
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4402961456