# Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/students-use-of-large-language-models-in-engineering-education-a-case-study-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Margherita Bernabei,Silvia Colabianchi,Andrea Falegnami,Francesco Costantino |
| Citations | 163 |
| DOI | 10.1016/j.caeai.2023.100172 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.caeai.2023.100172 |
| OpenAlex ID | https://openalex.org/W4387491382 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Francesco Costantino](https://scholariq.org/researchers/francesco-costantino/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Text Readability and Simplification](https://scholariq.org/topics/text-readability-and-simplification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.