Enhancing Higher Education in Portugal: Leveraging Generative Artificial Intelligence for Learning-Teaching Process

Authors

DOI:

https://doi.org/10.34190/ecel.23.1.2503

Keywords:

Generative AI (GAI), Higher education, Personalized learning, Ethical implications, Educational outcomes

Abstract

Recent advancements in Generative Artificial Intelligence (GAI) have revolutionized numerous fields, including higher education. This study focuses on the integration of GAI in Portuguese higher education institutions and explores its multifaceted implications and potential. Our research, conducted through a comprehensive survey between April and June 2023, engages with higher education faculty to understand their perceptions and utilization of GAI tools in teaching and learning processes. The potential of GAI to enhance personalized learning and interactive teaching methodologies is significant. It enables the creation of customized educational content, interactive simulations, and real-time feedback mechanisms, thus reducing the educators' workload and enhancing the learning experience. However, this integration is not without challenges. The study identifies critical ethical concerns around the use of GAI, including data privacy, intellectual property, and the potential for bias in AI-generated content.  Additionally, our findings indicate varying acceptance and readiness among educators to adopt these technologies. While some express enthusiasm for the potential of GAI to transform educational practices, others remain cautious, highlighting the need for comprehensive training and support to leverage GAI capabilities fully. This paper captures the essence of the study's findings, illustrating both the promising opportunities and the complex challenges associated with using Generative AI in higher education. Higher education institutions can significantly enhance teaching and learning landscapes by addressing these challenges and fostering an informed and ethical approach to GAI integration.

Author Biographies

Carla Santos Pereira

Carla Santos Pereira has a PhD in Mathematics, an MSc in Probabilities and Statistics, and a degree in Statistics. Currently is an Associated Professor in Portucalense University, President of the Pedagogical Council and Coordinator of the MSc in Data Science. Is also a member of the research unit REMIT-UPT

Maria João Ferreira

Maria João Ferreira is Associate Professor in Portucalense University and was awarded with a M.Sc. and a Ph.D. degree in Computation by the University of Manchester (UMIST). Currently, she the Coordinator of the MSc in Informatics and Computing Engineering. Is also member of the research unit REMIT-UPT.

Sónia Rolland Sobral

Dr. Habil, PHD, MSc and BsC Computer science field. Professor at the Portucalense University (1993), Lodz and Aveiro, visitor in others like Angola and CapeVerde. Was Pedagogical Council President and Quality-Assessment Office coordinated. Researcher in REMIT, coordinate DTIO. Published 100+ scientific articles and "Introduction to programming using Python” book.

Natércia Durão

Natércia Seabra Durão has a PhD in Statistic an MSc in Probabilities and Statistic and a Degree in Applied Mathematics/Informatics. Is Assistant Professor at the Portucalense University. Is member of the research unit REMIT – UPT and IJP –UPT. Is also member of the Portuguese Statistics Society.

Fernando Moreira, Universidade Portucalense

Fernando Moreira is a Full Professor who created and led the Science and Technology Department. He earned his M.Sc. and Ph.D. in Electronic Engineering from the FEUP. He has published over 250 peer-reviewed scientific papers and organized numerous special issues for JCR journals. In April 2019, he received the prestigious Atlas Elsevier Award.

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Published

2024-10-23