Challenges of Teaching Software Engineering in the Age of AI ACase Study from Birzeit University

Abstract

The integration of generative AI tools in higher education presents both opportunities and risks, especially in software engineering education. This study investigates the influence of these tools on teaching and learning practices at Birzeit University, using survey data from 70 students and 12 faculty members. The results reveal a rising dependency on AI for programming tasks, challenges in maintaining academic integrity, and shifting dynamics in student engagement and assessment. While faculty members express concern over the erosion of foundational skills, both students and instructors recognize the educational value of AI when guided by ethical and pedagogical frameworks. Correlation analysis shows that students who frequently use AI tools are more likely to report perceived benefits in learning efficiency and concept understanding. The paper concludes with recommendations for assessment redesign, AI literacy, and institutional policy. The relatively small sample size, particularly for faculty, is acknowledged as a limitation, and the findings should be interpreted with this context in mind.