From Confidence to Doubt: A Multi-year Analysis of Students’ Problem-Solving Attitudes in a CS2 Course
In recent years, computer science (CS) education has undergone rapid change, first due to the shift to online learning during the COVID-19 pandemic, and more recently with the rise of generative AI (GenAI) tools. How these changes impact students’ learning habits and problem-solving attitude remains unknown. This paper presents a long-term analysis of attitudinal survey data from a CS2 course across eight semesters. Drawing on the Computing Attitudes Survey (CAS v4) and the Computer Science Attitudes (CSA) survey, we measure changes in seven constructs, including confidence, mindset, strategies, and motivation. We observe stable or positive shifts in earlier semesters, but sharp negative trends in Fall 2023 and Spring 2024—semesters coinciding with the widespread availability of Generative AI (GenAI) tools. These results highlight the urgent need for instructors to consider how new technologies shape not just students’ learning outcomes but their beliefs about their own ability to succeed in computing.