Author:
Wieser Markus,Schöffmann Klaus,Stefanics Daniela,Bollin Andreas,Pasterk Stefan
Abstract
AbstractTeaching text-based programming poses significant challenges in both school and university contexts. This study explores the potential of ChatGPT as a sustainable didactic tool to support students, freshmen, and teachers. By focusing on a beginner’s course with examples also relevant to vocational schools, we investigated three research questions. First, the extent to which ChatGPT assists students in solving and understanding initial examples; secondly, the feasibility of teachers utilizing the chatbot for grading student solutions; and finally, the additional support ChatGPT provides in terms of teaching. Our findings demonstrate that ChatGPT offers valuable guidance for teachers in terms of assessment and grading and aids students in understanding and optimizing their solutions.
Publisher
Springer Nature Switzerland
Reference21 articles.
1. Abramson, A.: How to use ChatGPT as a learning tool. Monitor Psychol. 54(3), 36–44 (2023). https://www.apa.org/monitor/2023/06/chatgpt-learning-tool
2. Bender, E.M., Gebru, T., McMillan-Major, A., Shmitchell, S.: On the dangers of stochastic parrots: Can language models be too big? In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and TransparencyMarch (FAccT 2021), pp. 610–623. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3442188.3445922
3. Bornat, R., Dehnadi, S., Simon: mental models, consistency and programming aptitude. In: Proceedings of the Tenth Conference on Australasian Computing Education (ACE 2008), vol. 78, pp. 53–61. Australian Computer Society Inc., AUS (2008)
4. Cunningham, K., Blanchard, S., Ericson, B., Guzdial, M.: Using tracing and sketching to solve programming problems: replicating and extending an analysis of what students draw. In: Proceedings of the 2017 ACM Conference on International Computing Education Research (ICER 2017), pp. 164–172. Association for Computing Machinery, New York (2017). https://doi.org/10.1145/3105726.3106190
5. Ericson, B.J., Foley, J.D., Rick, J.: Evaluating the efficiency and effectiveness of adaptive parsons problems. In: Proceedings of the 2018 ACM Conference on International Computing Education Research (ICER 2018), pp. 60–68. Association for Computing Machinery, New York (2018). https://doi.org/10.1145/3230977.3231000
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