Education in the age
of Generative A.I.
Context and recent developments
Gain valuable insights on how Artificial Intelligence is revolutionizing learning
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Personalized
Learning
Automated Assessment and Feedback
Predictive
Analytics
Human-A.l.
Teaming for
Optimal Results
Author
Rafael Ferreira
Dr. Mello, a Ph.D. in computer science, is a Professor at CESAR School in Brazil. His expertise spans learning analytics and AI for Education. He's driven the adoption of Learning Analytics in Brazilian institutions, partaking in research projects worldwide. His work is published in top international journals, and he contributes as an editor and reviewer for esteemed conferences and journals.
Elyda Freitas
Dr. Elyda Freitas, a Computer Science Ph.D., teaches at the University of Pernambuco
and conducts post-doctoral research at
CESAR School. Her work centers on
Learning Analytics adoption projects,
and she has published research in both national and international journals and conferences. She also contributes as a reviewer for the latter two.
Dr. Elyda Freitas, a Computer Science Ph.D., teaches at the University of Pernambuco and conducts post-doctoral research at ESAR School. Her work centers on Learning Analytics adoption projects, and she has published research in both national and international journals and conferences. She also contributes as a reviewer for the latter two.
Felipe Dwan Pereira
Dr. Pereira holds a Ph.D. in Artificial Intelligence Applied to Education and conducts post-doctoral research in Natural Language Processing (NLP) at CESAR School. He is also an Assistant Professor at the Federal University of Roraima. With expertise in education data mining, learning analytics, A.I. and more, he has contributed to research projects and collaborations worldwide.
Luciano de Souza
Ph.D. in Electrical Engineering, Dr. Souza specializes in AI using NPL, Machine, and Deep Learning, particularly in Education and Health. He is a professor at IFPE and a post-doc researcher at CESAR School, actively developing A.I. Tech for Education. His extensive research spans global organizations, with numerous publications and a role as a prestigious journal and conference reviewer.
Patricia Tedesco
With a Bachelor's in Computer Science and a Ph.D. from the University of Leeds, Dr. Tedesco has been a professor in Artificial Intelligence at UFPE since 2002. Her expertise lies in AIED and Distance Learning, with a rich history of supervising MSc and PhD works and active participation in program committees.
Geber Ramalho
Dr. Ramalho holds a Ph.D. in Artificial Intelligence, serves as a professor at UFPE's Center for Informatics, focusing on A.I., interactivity, and innovation research. With international experience, including a sabbatical year at CNRS (France), he has coordinated numerous global research and innovation projects. He also contribute to ethics in A.I. education and with international organizations like the United Nations on technology ethics.
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