Shubbhi Taneja | Search arXiv

arXiv2026

AI Can Do Your Homework. Now What? Report from an Online Workshop on Computing Assessment in the Age of Generative AI

On 28 July 2026, the SIGCSE Virtual 2026 Working Group on computing assessment and generative AI held an open online workshop attended by 73 computing educators. The first hour ran seven strategy rooms, one per approach to adapting (or deliberately preserving) computing assessment in the AI era: open-ended and authentic task design; ambitious, AI-leveraged projects; evaluating and fixing AI-produced work; controlled and AI-free assessment; process evidence and effort signals; rubric and grading redesign; and oral and interactive assessment. The second hour ran question rooms seeded from those strategies, plus two cross-cutting rooms on fairness and trust and student motivation. This report records what was discussed: the approaches participants have tried, the results they reported, and the questions every room left open. It is the first public artifact of the working group, whose taxonomy of computing assessments that accommodate generative AI use will follow.

cs.CY↗

arXiv2026

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

Students differ in how they prefer to engage with learning resources, with some favoring textual materials and others visual or video-based content. Recent advances in generative AI have led CS education research to focus on text-based AI tools for developing learning resources. However, advances in AI video models and the rapid proliferation of AI video generation tools have made it possible for instructors to create high-quality personalized educational videos efficiently and cost-effectively. Understanding students' perceptions of AI-generated videos is thus critical for helping CS instructors know when and how to use them purposefully. To address this gap, we conducted a descriptive post-test survey study in which 170 computing students at two U.S. institutions watched three 3-minute AI videos on the Markdown markup language created with Knowlify. Students then completed a survey about their perceptions of the Markdown videos and their broader views on the use of AI-generated videos in education. Students rated the Markdown videos as high-quality, accurate, and usable, with nearly half unable to determine whether the videos were AI-generated. At the same time, students expressed limited comfort with the widespread adoption of AI videos in the classroom. They preferred AI videos for simple, supplemental, and visual use cases, while expressing concerns about lower-quality or inaccurate content, reduced instructor interaction, and diminished educational value.

cs.HC↗