most citedHow Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course

6 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2025★ 2 cited

Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study

Sven Jacobs, Jan Haas, Natalie Kiesler

How students utilize immediate tutoring feedback in programming education depends on various factors. Among them are the feedback quality, but also students' engagement, i.e., thei…

cs.CY2025★ 3 cited

GenAI Voice Mode in Programming Education

Sven Jacobs, Natalie Kiesler

Real-time voice interfaces using multimodal Generative AI (GenAI) can potentially address the accessibility needs of novice programmers with disabilities (e.g., related to vision).…

cs.AI2025★ 2 cited

Students' Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For?

Andreas Scholl, Natalie Kiesler

Building on prior research on Generative AI (GenAI) and related tools for programming education, we developed SCRIPT, a chatbot based on ChatGPT-4o-mini, to support novice learners…

cs.CY2025★ 5 cited

That's Not the Feedback I Need! -- Student Engagement with GenAI Feedback in the Tutor Kai

Sven Jacobs, Maurice Kempf, Natalie Kiesler

The potential of Generative AI (GenAI) for generating feedback in computing education has been the subject of numerous studies. However, there is still limited research on how comp…

cs.AI2024★ 6 cited

How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course

Andreas Scholl, Natalie Kiesler

This research paper contributes to the computing education research community's understanding of Generative AI (GenAI) in the context of introductory programming, and specifically,…