3 ECTS; 1º Ano, , 7,0 PL + 14,0 TP , Cód. 31055.
Lecturer
- António Manuel Rodrigues Manso (1)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Objectives
O1 - Understand the theoretical and practical foundations of Artificial Intelligence and recognise its potential to transform education.
O2- Critically analyse the ethical, legal and social challenges associated with the use of AI in educational contexts, and identify responsible and inclusive practices.
O3 - Plan and evaluate integrated educational projects using artificial intelligence and emerging technologies, in line with the STEAM approach.
O4 - Implement and experiment with digital resources based on AI and emerging technologies to enhance teaching and learning processes.
O5 - Integrate active methodologies with emerging technologies in an interactive and collaborative way, fostering students' critical thinking and creativity.
Program
CC1 - Foundations of AI
CC1.1 - Concepts, paradigms and historical development of AI
CC1.2 - Machine learning
CC.3 - Generative Artificial Intelligence
CC1.4 - AI tools and platforms
CC1.5 - Ethics and responsibility
CC2 - Emerging technologies
CC2.1 - Fundamentals of Emerging Technologies: Concepts, evolution and interconnectivity
CC2.2 - Internet of Things (IOT)
CC2.3 - Robotics
CC2.4 - 3D Modelling and Printing
CC2.5 - Other technologies
CC3 - Integration of AI and emerging technologies in education
CC3.1 - Educational applications of AI
CC3.2 - Integration of technologies in STEAM projects
Evaluation Methodology
Bibliography
- Floridi, L. (2023). The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities. UK: Oxford University Press
- Russell, S. e Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). UK: Pearson
Teaching Method
Using active learning methodologies such as Collaborative Work, reflection and the exchange of experiences.
Software used in class
Out of the total 81 working hours, 21 are specifically reserved for face-to-face interaction with students.
