Impact of Educational AI on Students' Studying Habits and Academic Performance
The purpose of this research is to investigate how artificial intelligence (AI) affects students' academic experiences in terms of their study habits, academic achievement, social interactions, and emotional growth. While AI offers advantages such as increased accessibility to learning resources and personalized experiences, it also presents challenges. Through a questionnaire-based survey targeting teachers/Faculty members, this research aims to explore how AI influences learning behaviors and outcomes. This research will advance knowledge about artificial intelligence in education. This study explores the impact of artificial intelligence (AI), particularly learning platforms like ChatGPT, on students' academic experiences, focusing on study habits, academic achievement, social interactions, and emotional growth. By surveying 54 faculty members through a combination of multiple-choice and open-ended questions, the research employs both qualitative and quantitative methods to analyze the influence of AI in education. The findings reveal a dual-sided impact. While AI enhances academic performance through personalized learning and improved accessibility, it poses significant challenges. Overreliance on AI tools appears to hinder critical facets of student development, including study habits, emotional well-being, social interactions, and critical thinking. The convenience of AI risks fostering passive learning behaviors, reducing interpersonal communication, and promoting emotional and social detachment. This research underscores the need for a balanced approach to AI integration in education. To maximize benefits and mitigate drawbacks, educators and institutions must combine AI's potential with active teacher involvement, emphasizing critical thinking and social engagement. By treating AI as a supportive tool rather than a substitute for human educators, the long-term development of students can remain both positive and holistic.
Authors
- Prateek Srivastava (ORCID: https://orcid.org/0000-0002-7868-7311)
- Nidhi Gupta (ORCID: https://orcid.org/0000-0003-3638-1645)
- Savita Singh
- Rachel Khalkho
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/icaiqsa64000.2024.10882178
- Citations
- 3
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 1.24