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The Future of Education: Student Attitudes Toward AI-Enhanced Online Courses

  • Aman Jindal,
  • Praveen Kumar

摘要

As the digital landscape continues to reshape the educational landscape, artificial intelligence (AI) plays an increasingly prominent role in delivering personalized and efficient learning experiences. Covid-19 is also one of the main reasons for the disruption in the education system. This study explores the ways in which AI technologies are influencing students’ engagement, performance, and overall satisfaction with online courses. In this paper six different parameters related to education, i.e., Quality, flexibility, return on investment, learning environment, technology, and interpersonal skills are taken to measure the perception of students toward online courses. The changeover from face-to-face classroom teaching to online learning is happening very aggressively. It is vital to study the behavior of students toward online study. Hence, this paper strives to identify the motivating factors that prompt students to opt for online courses. It also investigates the degree to which students view AI as a potential challenge to conventional teaching approaches. By gaining insights into student attitudes, this study provides valuable guidance for the development and integration of AI technologies in education, ensuring they align more effectively with the evolving needs and expectations of learners who are poised to influence the future of education.