Presentation Schedule
The Psychological Keys to AI Mastery in High School Classrooms (93771)
Session Chair: Juan Manuel Tapia Diaz
Wednesday, 11 June 2025 10:50
Session: Session 1
Room: Room 107 (1F)
Presentation Type:Oral Presentation
As AI continues to reshape societies, integrating AI literacy into pre-university education is no longer a choice, it is a necessity. However, mastering AI concepts goes beyond curriculum design as it is deeply connected to psychological factors that shape students' learning experiences. Factors such as self-belief, self-efficacy, motivation, self-regulation, metacognition, and emotional well-being play a crucial role in shaping students' ability to engage with and excel in AI. This study explores the complex relationship between these psychological aspects and their impact on AI mastery among high school students. Using a Two-Phase Sequential Research Design with Multi-Wave Data Collection, we developed and validated robust measurement tools (Phase 1) and tested a conceptual model using moderated mediation analysis (Phase 2) on data from 763 high school students. Our findings demonstrate a strong relationship between AI self-efficacy and learning outcomes, where students with greater confidence in their AI abilities achieve significantly better results. This relationship is not linear but is mediated by factors such as intrinsic interest, motivation, and cognitive engagement. Notably, gender-based variations emerged, with male students exhibiting a stronger correlation between self-efficacy and performance. This disparity underscores the importance of addressing structural and psychological barriers that may inhibit female students' confidence and participation in AI learning. These insights emphasize the need for inclusive, gender-responsive pedagogical strategies that not only foster self-efficacy but also create equitable learning environments where all students can thrive in AI education. Understanding these influences can help educators create more effective strategies to empower the next generation.
Authors:
Zubair Ahmad, Qatar University, Qatar
Almaas Sultana, Qatar University, Qatar
Nafilah Abdul Latheef, Qatar University, Qatar
Nitha Siby, Qatar University, Qatar
Bakhtawar Sumra, Qatar University, Qatar
Amira Abdelfattah, Qatar University, Qatar
About the Presenter(s)
Dr Zubair Ahmad is a University Assistant Professor/Lecturer at Qatar University in Qatar
Connect on Linkedin
https://qa.linkedin.com/in/dr-zubair-ahmad-6934aa16
Connect on ResearchGate
https://www.researchgate.net/profile/Zubair-Ahmad-16/4
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