A Comparative Analysis of Programming Language Preferences Among Computer Science and Non-Computer Science Students

Abstract

In the face of the growing importance of programming skills across various fields, understanding student preferences for programming languages becomes crucial. This study delves into this very topic, examining which languages resonate most with computer science majors and students from non-computer science backgrounds. We don’t just identify the popular choices; we also explore the underlying reasons behind these preferences through surveys. The analysis reveals a fascinating interplay between factors like a student’s learning experience, their career aspirations, and even their interests, all of which influence their preference for specific programming languages. This newfound knowledge empowers us to refine programming education for a diverse student body, ensuring they’re well-equipped for the demands of the digital world. Our findings hold value for curriculum designers, educators, and industry professionals alike. By understanding the evolving demands and preferences of students, these stakeholders can craft more relevant and engaging programming education experiences. Ultimately, this fosters interdisciplinary collaboration in the digital age, a key element for success in today’s interconnected world. This research not only contributes to the growing body of knowledge on programming language preferences but also offers practical insights for the betterment of programming instruction and the promotion of collaboration across disciplines within the digital landscape.