TY - GEN
T1 - Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education
AU - Alpizar-Chacon, Isaac
AU - Keuning, Hieke
AU - De Jong, Imke
AU - Lykourentzou, Ioanna
AU - Rings, Susan
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/11/10
Y1 - 2025/11/10
N2 - The application of Artificial Intelligence, in particular Generative AI, has become more widespread among educational institutions. Opinions vary widely on whether integrating AI into classrooms is the way forward or if it is detrimental to the quality of education. Increasingly, research studies are giving us more insight into the consequences of using AI tools in learning and teaching. Studies have shown how, when, and why students use AI tools. Because developments regarding the technology and its use are moving fast, we need frequent, ongoing, and more fine-grained investigation. One aspect that we do not know much about yet is how students use and think about AI across different types of education. In this paper, we present the results of a multi-institutional survey with responses from 410 students enrolled in the computing programs of 23 educational institutions, representing high schools, colleges, and research universities. We found distinct usage patterns across the three educational institution types. Students from all types express excitement, optimism, and gratitude toward GenAI. Students in higher education more often report worry and skepticism, while high school students report greater trust and fewer negative feelings. Additionally, the AI hype has had a minimal influence, positive or negative, on high school students' decision to pursue computing. Our study contributes to a better understanding of inter-institutional differences in AI usage and perception and can help educators and students better prepare for future challenges related to AI in computing education.
AB - The application of Artificial Intelligence, in particular Generative AI, has become more widespread among educational institutions. Opinions vary widely on whether integrating AI into classrooms is the way forward or if it is detrimental to the quality of education. Increasingly, research studies are giving us more insight into the consequences of using AI tools in learning and teaching. Studies have shown how, when, and why students use AI tools. Because developments regarding the technology and its use are moving fast, we need frequent, ongoing, and more fine-grained investigation. One aspect that we do not know much about yet is how students use and think about AI across different types of education. In this paper, we present the results of a multi-institutional survey with responses from 410 students enrolled in the computing programs of 23 educational institutions, representing high schools, colleges, and research universities. We found distinct usage patterns across the three educational institution types. Students from all types express excitement, optimism, and gratitude toward GenAI. Students in higher education more often report worry and skepticism, while high school students report greater trust and fewer negative feelings. Additionally, the AI hype has had a minimal influence, positive or negative, on high school students' decision to pursue computing. Our study contributes to a better understanding of inter-institutional differences in AI usage and perception and can help educators and students better prepare for future challenges related to AI in computing education.
KW - AI in Education
KW - Computing Education
KW - Generative AI
KW - Large Language Models
UR - https://www.scopus.com/pages/publications/105022920937
U2 - 10.1145/3769994.3770008
DO - 10.1145/3769994.3770008
M3 - Contribución a la conferencia
AN - SCOPUS:105022920937
T3 - Proceedings of 25th International Conference on Computing Education Research, Koli Calling 2025
BT - Proceedings of 25th International Conference on Computing Education Research, Koli Calling 2025
A2 - Leinonen, Juho
A2 - Duran, Rodrigo
PB - Association for Computing Machinery, Inc
T2 - 25th Koli Calling International Conference on Computing Education Research, Koli Calling 2025
Y2 - 11 November 2025 through 16 November 2025
ER -