Influence of Artificial Intelligence (AI) in the Online Learning Environment: a Study on Higher Education Students
Rashmi Singh (),
Shailendra Kumar Singh () and
Niraj Mishra ()
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Rashmi Singh: Research Scholar, Birla Institute of Technology, (Dept. of Management)
Shailendra Kumar Singh: Assistant Professor, Birla Institute of Technology, (Dept. of Management)
Niraj Mishra: Assistant Professor, Birla Institute of Technology, (Dept. of Management)
A chapter in Proceedings of the International Conference on Marching Beyond the Libraries (ICMBL): Leadership, Creativity, and Innovation (ICMBL 2024), 2025, pp 38-55 from Springer
Abstract:
Abstract Artificial intelligence and online learning technology acceptance positively impact users of e-resources. In the current scenario, the benefits of the teaching and learning process help achieve learning benefits among higher education students. This study aimed to learn about the influence of artificial intelligence (AI) on students’ learning outcomes and the use of e-resources for creative growth in online learning environments. The results of the study with 103 university students at two higher education institutions in India show their attitude and learning behaviour towards AI and online learning, student engagement, and learning outcomes. Data for this study was acquired through an online Google form for a survey. This survey revealed various aspects of the benefits of AI technology in the educational process, with a vision to improve learning quality, availability, and cost-effectiveness to achieve learning outcomes in the online learning environment. However, this study has certain limitations, such as the fact that the research was conducted in a university context among all the education levels of students, and future studies should be conducted in specific subject backgrounds. The other limitation of this study is that a quantitative method has been used through a survey to investigate students’ engagement and learning outcomes in the online learning environment. Future research will employ qualitative methods through interviews and observation that investigate student engagement and motivation to use e-resources for learning outcomes.
Keywords: Artificial intelligence; e-resources; online learning; higher education; learning outcome; student engagement (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-712-0_4
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DOI: 10.2991/978-94-6463-712-0_4
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