Chat GPT Challenges in Higher Education Assessment Methodologies


We are currently experiencing one of the most challenging revolutions, the technological one, in which universities, traditionally seen as the center of innovation, have difficulty keeping up. Chat GPT (Generative Pre-Trained Transformer) is based on a language model based on deep learning, one of the branches of artificial intelligence (AI). This platform uses an algorithm based on neural networks, which allows computers to be taught to process data in a way that is “analogous” to the human brain, enabling conversations with the user by processing a large volume of data. In this context, there are several challenges that (Chat GPT) poses to higher education. We will certainly have to reinvent ourselves in teaching and assessment methodologies. We intend to carry out a reflection on the use of this technology in Higher Education in Law, seeking to understand the performance of this tool in “teaching to learn” and in the assessment of the skills that are intended to be acquired. We will take a look at the main uses of GPT Chat in Higher Education, namely as a “learning assistant”, allowing us to understand concepts and answer specific questions, helping to consolidate knowledge; as a “writing tool”, improving writing skills; as a “source of information” enhancing research and, consequently, the expansion of knowledge on a given subject; and as a “translation tool”.

Author Information
Maria João Mimoso, Portucalense University–Instituto Jurídico Portucalense, Portugal
José Caramelo Gomes, Portucalense University–Instituto Jurídico Portucalense, Portugal

Paper Information
Conference: BCE2023
Stream: Higher education

This paper is part of the BCE2023 Conference Proceedings (View)
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To cite this article:
Mimoso M., & Gomes J. (2023) Chat GPT Challenges in Higher Education Assessment Methodologies ISSN: 2435-9467 – The Barcelona Conference on Education 2023: Official Conference Proceedings
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Posted by James Alexander Gordon