Abstrakt: |
The integration of Generative AI (GenAI) tools into programming education is reshaping pedagogical methodologies and student experiences. Our study investigates the impacts of GenAI on confidence and frustration levels in programming among business students, with a focus on the interaction between these tools and different learning styles defined by the VARK model--Minimalist Learner, Listener Doer, Seer Doer, and Comprehensive Learner--and GenAI usage profiles--Beginner, Moderate User, Student Expert, and GenAI Expert. Using survey data from 48 students in a graduate programming course, we assessed how these learning styles and GenAI usage profiles impact students' confidence and frustration when learning to program. Our analysis, conducted using Python, shows that Seer Doer learners and Comprehensive Learners, who generally prefer visual and kinesthetic modalities, along with Moderate Users and Student Experts, experienced increased confidence. In contrast, Listener Doer and Beginners encountered higher levels of frustration. This study highlights the need for tailored educational strategies that align GenAI tool integration with the specific learning styles and previous GenAI experiences, thereby enhancing learning outcomes and minimizing student frustration in programming. [ABSTRACT FROM AUTHOR] |