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Computer Science > Computers and Society

arXiv:2411.11166 (cs)
[Submitted on 17 Nov 2024]

Title:Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023

Authors:C. Estelle Smith, Kylee Shiekh, Hayden Cooreman, Sharfi Rahman, Yifei Zhu, Md Kamrul Siam, Michael Ivanitskiy, Ahmed M. Ahmed, Michael Hallinan, Alexander Grisak, Gabe Fierro
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Abstract:Because of the rapid development and increasing public availability of Generative Artificial Intelligence (GenAI) models and tools, educational institutions and educators must immediately reckon with the impact of students using GenAI. There is limited prior research on computing students' use and perceptions of GenAI. In anticipation of future advances and evolutions of GenAI, we capture a snapshot of student attitudes towards and uses of yet emerging GenAI, in a period of time before university policies had reacted to these technologies. We surveyed all computer science majors in a small engineering-focused R1 university in order to: (1) capture a baseline assessment of how GenAI has been immediately adopted by aspiring computer scientists; (2) describe computing students' GenAI-related needs and concerns for their education and careers; and (3) discuss GenAI influences on CS pedagogy, curriculum, culture, and policy. We present an exploratory qualitative analysis of this data and discuss the impact of our findings on the emerging conversation around GenAI and education.
Comments: 7 pages
Subjects: Computers and Society (cs.CY)
Cite as: arXiv:2411.11166 [cs.CY]
  (or arXiv:2411.11166v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2411.11166
Related DOI: https://doi.org/10.1145/3649217.3653575

Submission history

From: Md Kamrul Siam [view email]
[v1] Sun, 17 Nov 2024 20:17:47 UTC (6,360 KB)
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