The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI and Psychosocial Factors: Attitude, Perception, Anxiety, Learning, and Self-Regulation Skills
Abstract
Integration of AI into education has significantly influenced psychosocial factors of students (attitudes, perceptions, anxiety levels, learning motivation, and self-regulation skills). Through adaptive learning environments and personalized feedback, AI fosters positive attitudes towards learning and enhances engagement. AI mitigates learning anxiety by creating a supportive atmosphere that adapts to individual needs, enabling students to progress at their own pace. AI platforms motivate learners through gamification and interactive features, cultivating a deeper intrinsic motivation for academic pursuits. Enhanced self-regulation skills are facilitated by tools that track progress, set personalized goals, and provide timely reminders, empowering students to take control of their learning journey. However, challenges (over-reliance on AI, privacy concerns, and ensuring equitable access) need to be addressed to maximize benefits. This chapter examines multidimensional impact of AI technologies on psychosocial factors, highlighting their implications for student success and learning outcomes.
Related Content
|
Jawad Laadraoui, Mehdi Aitlarradia, Khadija Oubella, Fatimzahra Agouram, Sara Oufquir, Abdelfatah Ait Baba, Hamid Kabdy, Bilal El-Mansoury.
© 2026.
40 pages.
|
|
Joselyn Barnhart, Leslie Reyes, Cameron Lacy Ortega.
© 2026.
28 pages.
|
|
Elaine Mora.
© 2026.
30 pages.
|
|
Gabriela Rangel.
© 2026.
32 pages.
|
|
Ayush Dwivedi, Ravindra Singh, Aditya Ratna Tripathi.
© 2026.
24 pages.
|
|
Fathima Yusaira, Papia Saraf, Dakshina U. Kanthy, Lakshmi Balakrishnan, Benita Raj Prince, Diliya Joseph.
© 2026.
30 pages.
|
|
Tiffany Lee, Lyndsay R. Nuyen, Blaire Zielke.
© 2026.
38 pages.
|
|
|