The challenges of integrating Generative Artificial Intelligence in Education

Edição: 
Data de início/fim: 
Quinta, 12 Outubro, 2023 - 17:00 - 19:00
Duração (horas): 
2
Nome do(s) Formador(es): 
Dalila Durães
Instituição do(s) Formador(es): 
Universidade do Minho
Biografia: 
Dalila Durães is a Assistant Professor of Computer Science at the Department of Informatics, the School of Engineering, the University of Minho (Portugal), and a researcher at the ALGORITMI Centre and LASI Intelligent Systems Associate Laboratory. She holds two international PhD: one in Educational Sciences, in Teachers, Curricula and Educational Institutions, from the University of Granada, Spain, completed in 2012, and another in Artificial Intelligence by the Polytechnic University of Madrid, Spain, completed in 2018. She is chair of the IEEE in Computational Intelligence Society, Portugal Chapter and a member of the Portuguese Association for Artificial Intelligence (APPIA) social corporate since January 2020 (Secretary of the General Assembly). She began her career in 2002, developing scientific research in nanotechnology until 2004. Subsequently, between 2007 and 2013, scientific research in education. From 2015, she developed research in Computer Engineering, with applications in Human-Computer Interaction, Behavior Analysis, with particular attention to the detection of violence, sentiment analysis, Intelligent Tutoring and Recognition of Human Actions. Dalila is the author of more than 60 scientific publications in international peer-reviewed journals, book chapters, books, and conferences. She is also a member of the editorial board of several international journals. During the past few years, she has served as an expert/reviewer for several conferences and journals. She was also a supervisor of master's and doctoral students and was a member of the jury of several doctoral and master's theses.
Vagas: 
110
Descrição: 
Presentation of the challenges and opportunities of using Generative AI in Education. Use of some tools with examples that can be used in the classroom and in research.