Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
arXiv:2511.13271v2 Announce Type: replace-cross Abstract: The rise of Generative AI (GenAI) tools like ChatGPT has created new opportunities and challenges for computing education. Existing research has primarily focused on GenAI's ability to complete educational tasks and its impact on student performance, often overlooking its effects on knowledge gains. In this study, we investigate how GenAI assistance compares to conventional online resources in supporting knowledge gains across different proficiency levels. We conducted a controlled user experiment with 24 undergraduate students of two d
The proliferation of Generative AI tools like ChatGPT necessitates immediate academic investigation into their pedagogical impact, especially as they become integral to educational tasks.
This research provides critical insights into how GenAI affects student learning and knowledge acquisition in technical fields, informing curriculum development and regulatory policies.
The study's findings will refine understanding of GenAI's role in education, distinguishing its effectiveness from traditional resources and guiding its responsible integration.
- · AI education tool developers
- · Forward-thinking educational institutions
- · Students with access to effective GenAI guidance
- · Traditional online learning platforms (if GenAI proves superior)
- · Educational models resistant to AI integration
- · Students without equitable access to GenAI tools
Educational institutions will adjust their policies and curricula to either embrace or restrict Generative AI tools.
The demand for educators skilled in integrating AI into learning processes will increase, leading to new professional development programs.
Future workforce capabilities will be significantly shaped by the effectiveness and ethical implementation of AI in foundational learning.
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Read at arXiv cs.AI