Impacto de ChatGPT en los métodos de evaluación de un grado de Ingeniería Informática

Abstract

Generative Artificial Intelligence has undergone significant evolution over the last few years, especially in 2022. The artificial intelligence causing the most buzz in the academic world is ChatGPT, which provides an user interface that significantly simplifies the productive use of a large language model. These language models can parse and generate text with great speed and quality. Such language competences might have a relevant impact on teaching-learning methodologies and assessment methods. In order to analyze the possible impact of ChatGPT on assessment methods, in this work, we have used it to solve the exams of 15 Software Engineering subjects of a Computer Engineering degree. The results show that ChatGPT has an evident impact on assessment methods, because it can provide a correct answer to many questions and problems of different typology in multiple subjects. A detailed study of the results organized by types of questions and problems is provided as main contribution. Finally, some recommendations are derived from those results to guide in the design of assessment methods.

Publication
Asociación de Enseñantes Universitarios de la Informática (AENUI)
Roberto Rodriguez-Echeverria
Roberto Rodriguez-Echeverria
Associate Professor

Associate Professor at Universidad de Extremadura. My research interests include Software Engineering, Model-Driven Engineering, Data Science, Machine Learning.

Juan D. Gutiérrez
Juan D. Gutiérrez
Assistant Professor

Assistant Professor at Universidade de Santiago de Compostela. I enjoy computing but, above all, learning new things.

José M. Conejero
José M. Conejero
Associate Professor

Assistant Professor at Universidad de Extremadura. My research interests include Model-Driven Development, Data Science, Machine Learning.

Alvaro E. Prieto
Alvaro E. Prieto
Associate Professor

My research interests include Linked Open Data, Predictive Analytics, and Business Intelligence.