Science
Q&A: Exploring generative AI's impact on student thinking during programming and debugging
Publication: Phys.org - latest science and technology news stories
Author: Not available in collected metadata
Source published: 10/11/2026, 17:20:09 UTC
Briefing created: 11/11/2026, 01:55:39 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 10/11/2026, 17:25:25 UTC.
Briefings
A doctoral dissertation by Yazid Albadarin is scheduled for examination at the Joensuu campus, focusing on generative AI's influence on higher-order thinking, creativity, and cognitive dynamics specifically during the debugging phase of programming tasks.
Key points
- The dissertation titled "Capturing the impact of generative AI on higher-order thinking, creativity, and cognitive dynamics during debugging" will be examined at the Faculty of Science, Forestry and Technology, Joensuu campus.
- The study investigates how generative AI tools affect student cognitive processes when they are actively debugging code.
Context
This research examines generative AI's role in higher-order thinking and cognitive dynamics during the debugging phase of programming tasks.
Limitations
Evidence is limited to the dissertation examination schedule at Joensuu campus; no data on student performance, AI usage rates, or specific cognitive metrics is provided.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 11/11/2026, 01:55:39 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
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