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Computer Science and Education in Computer Science. 19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28–29, 2023, Proceedings

Research Article

An Empirical Study of Student Perceptions When Using ChatGPT in Academic Assignments

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-44668-9_30,
        author={Vijay Kanabar},
        title={An Empirical Study of Student Perceptions When Using ChatGPT in Academic Assignments},
        proceedings={Computer Science and Education in Computer Science. 19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28--29, 2023, Proceedings},
        proceedings_a={CSECS},
        year={2023},
        month={10},
        keywords={AI Tools ChatGPT Teaching and Learning},
        doi={10.1007/978-3-031-44668-9_30}
    }
    
  • Vijay Kanabar
    Year: 2023
    An Empirical Study of Student Perceptions When Using ChatGPT in Academic Assignments
    CSECS
    Springer
    DOI: 10.1007/978-3-031-44668-9_30
Vijay Kanabar1,*
  • 1: Boston University, Metropolitan College, Boston
*Contact email: kanabar@bu.edu

Abstract

This research paper investigates students’ perceptions of using ChatGPT, an AI-based language model, in academic assignments in a project management course. The study analyzes responses to an anonymous survey that explores the value, ease of use, extent of usage, and ethical considerations of using ChatGPT in homework. The results suggest that while most students find the tool helpful, they prefer to use it only as a supplementary resource. Students are concerned about actual learning and whether critical thinking skills can be successfully acquired when AI-based tools are used to generate essays. The survey reveals that student reaction teethers between acceptance and rejection. The paper concludes by assessing the deliverables from students and guides the informed use of tools such as ChatGPT in traditional college courses.

Keywords
AI Tools ChatGPT Teaching and Learning
Published
2023-10-11
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-44668-9_30
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