Turma: A
Sala: 4114
Data de início: 16/03/2023
Data de término: 27/04/2023
N° total de vagas: 15
Tipo: Optativa - PDE*
Carga horária: 30 horas
Vagas para eletivas: Sim
Vagas para isoladas: Sim
Artificial Intelligence Concept. Multidisciplinary dimensions of Artificial Intelligence. Machine Learning. Machine learning. Education and Artificial Intelligence. Big Data in Education. International perspectives on artificial intelligence in education. Curriculum aspects of artificial intelligence in teacher education.
Topic 1: Fundamentals, History and Ethical Aspects of Artificial Intelligence
1.1. Conceptual foundations of Artificial Intelligence (A.I.)
1.2. Introduction to the main types of programming used in artificial intelligence
1.3. History of the A.I. in Brazil and in the world
1.4. Ethics and Artificial Intelligence
Topic 2: technological dimensions
2.1. A.I. strong and A.I. weakly applied to open and distance education
2.2. Machine Learning and Deep Learning in the context of intelligent tutoring in open and distance education
2.3. Data mining, text mining and web mining for open and distance education
2.4. A.I. and user modeling (learning analytics): modeling learning style, social engagement, needs and preferences.
Topic 3: techno-pedagogical dimensions
3.1. A.I. and adaptive platforms (supervised and unsupervised) in open and distance education
3.2. A.I.: impacts on teaching in open and distance education
Ertel, W. (2018). Introduction to artificial intelligence. Springer.
TAULLI, Tom; ONI, Michael. Artificial intelligence basics. Berkeley, CA: Apress, 2019.
BOSTROM, Nick; YUDKOWSKY, Eliezer. The ethics of artificial intelligence. In: Artificial intelligence safety and security. Chapman and Hall/CRC, 2018. p. 57-69.
RADOWITZ, John Von. Intelligent machines will replace teachers within 10 years, leading public school headteacher predicts. Independent, s. p., 11 set. 2017. Disponível em: < https://www.independent.co.uk/tech/intelligent-machines-replace-teachers-classroom-10-years-ai-robots-sir-anthony-sheldon-wellington-college-a7939931.html>
Jaderberg, M., Czarnecki, W. M., Dunning, I., Marris, L., Lever, G., Castaneda, A. G., ... & Graepel, T. (2019). Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science, 364(6443), 859-865.
Tettegah, S. Y., & Gartmeier, M. (Eds.). (2015). Emotions, technology, design, and learning. Academic Press.
Yu, S., & Lu, Y. (2021). An Introduction to Artificial Intelligence in Education. Springer
UNESCO (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. Unesco Press.