Application of GPT Language Models for Innovation in Activities in University Teaching
This addresses the challenge of integrating AI tools into education while mitigating misuse, such as ensuring student work authenticity, which is relevant for universities globally.
The paper investigates the application of GPT language models, specifically ChatGPT, in university teaching, focusing on Software Engineering to evaluate its potential as a support tool for students and teachers in activities like theory, exercises, and labs.
The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to university teaching in various dimensions. From the perspective of innovation in student and teacher activities, they can provide support in understanding and generating content, problem-solving, as well as personalization and test correction, among others. From the dimension of internationalization, the misuse of these models represents a global problem that requires taking a series of common measures in universities from different geographical areas. In several countries, there has been a review of assessment tools to ensure that work is done by students and not by AI. To this end, we have conducted a detailed experiment in a representative subject of Computer Science such as Software Engineering, which has focused on evaluating the use of ChatGPT as an assistant in theory activities, exercises, and laboratory practices, assessing its potential use as a support tool for both students and teachers.