Are We Oversimplifying GenAI Integration? A Short Guideline for GenAI Integration in Education

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References

Hirpara

Weber

Szakonyi

Cardona

Singh

(2025). Exploring the Role of GenAI in Shaping Education. 121–134. https://doi.org/10.1007/978-3-031-88881-6_10

Karnalim

(2025). Similarities of human and AI assistance in programming plagiarism: Student perspective. In International conference on interactive collaborative learning, 1281 LNNS (pp. 149–156). https://doi.org/10.1007/978-3-031-83520-9_14

Karnalim

Toba

Johan

M. C.

(2024). Detecting AI assisted submissions in introductory programming via code anomaly. Education and Information Technologies, 1–26. https://doi.org/10.1007/s10639-024-12520-6

Kiesler

Lohr

Keuning

(2023). Exploring the potential of large language models to generate formative programming feedback. In: 2023 IEEE frontiers in education conference (FIE) (pp. 1–5). https://doi.org/10.1109/FIE58773.2023.10343457

Orenstrakh

M. S.

Karnalim

Suarez

C. A.

Liut

(2024). Detecting LLM-generated text in computing education: Comparative study for ChatGPT cases. In 2024 IEEE 48th annual computers, software, and applications conference (COMPSAC) (pp. 121–126). https://doi.org/10.1109/COMPSAC61105.2024.00027

Qiao

Vermeulen

Fitzmaurice

Matejka

(2025). To use or not to use: Impatience and overreliance when using generative AI productivity support tools. In Conference on human factors in computing systems. https://doi.org/10.1145/3706598.3714103