Student Perceptions and Preferences Regarding AI-Generated Instructional Videos in Computing Education

Esse Ciego, Shubbhi Taneja, Wilson Wong, Amanpreet Kapoor (2026) — arXiv:2607.28203 (cs.HC)

📄 Full text (arXiv)

Summary

Studies student perceptions of AI-generated instructional videos in computing education. Finds students value personalization and rapid production but express concerns about accuracy and the loss of instructor presence. Identifies clear preferences for hybrid approaches where AI generates draft content that instructors review and refine.

The work connects to broader discussions in AI and education around student-experience, generative-ai, computing-education, contributing to our understanding of how generative ai shapes educational practice.

Key Contributions

• Contributes empirical or theoretical advances relevant to the student-experience domain

• Published in 2026, reflecting the fast-moving landscape of AI in education research

• Engages with questions of student experience and stem education in educational contexts

Related Pages

• student-experience

• generative-ai

• computing-education

• instructional-design

• edtech-platform

• savvy-student-attention-video-learning

Citation

APA: Esse Ciego, Shubbhi Taneja, Wilson Wong, Amanpreet Kapoor (2026). Student Perceptions and Preferences Regarding AI-Generated Instructional Videos in Computing Education. arXiv:2607.28203. cs.HC.