Episode 12

The use of information technologies has posed challenges and opportunities for universities in relation to the appropriation of knowledge and the cultivation of curiosity, research, and the search for new knowledge. For example, schools have fought battles against the "copy-paste" phenomenon from different institutional strategic fronts of awareness, training, and regulation to promote academic integrity, even through the use of applications that generate reports of originality of the requested deliverables as learning activities.

With the accelerated development of artificial intelligence, new questions and challenges are added that challenge us and drive us to review and take beyond the assumptions, practices, and ways of promoting learning in students, where the support of technology for research, interaction, and text elaboration privileges authentic and experiential learning in real contexts. Do we adapt or resist? Therein lies the dilemma that suggests adopting a constructive pedagogical perspective that adds to the process of teaching and learning. By knowing the alternatives that these tools provide, perhaps we will be surprised by the possibilities that they can offer, contrary to what might be thought, to promote active learning and critical thinking in students. It all depends on the intention and purpose that we as teachers define for their implementation.

Support resources

Below we share with you a series of readings, videos and web pages that may be of interest to you. We invite you to consult them:

Guest lecturer and professor

Carlos Astengo Noguez

Carlos Astengo holds a Bachelor's degree in Mathematics from the Faculty of Physical-Mathematical Sciences at the University of Guadalajara. He obtained a Master's degree in Applied Mathematics from the University Center for Exact Sciences and Engineering and a Ph.D. in Artificial Intelligence from ITESM Campus Monterrey. He has held various positions, including professional and graduate-level Professor at Campus Guadalajara, Director of the Department of Basic Sciences and Departmental Didactic Instructor, and has taught extension courses and consulted for various industries and companies. He was Director of the Research and Innovation Modality and Director of the ALPHA Outstanding Students Program. He has been a Professor at the BI in Campus Cumbres and Director of CEDDIE Campus Monterrey.

He was awarded in New Zealand for his innovative proposal of "Flock Traffic Navigation," a proposal for cars to negotiate with each other using AI techniques and for traffic management without the need for traffic lights. He directs the Center for Numerical Analysis and Data Science at Campus Monterrey. He is the Founder of the Institute of Game Development, Video Games & eSports and a founding member of Cafeína, Association for the Dissemination of Artificial Intelligence in Education.

Dirige el Centro de Análisis Numérico y Ciencia de Datos del Campus Monterrey. Fundador del Instituto de Desarrollo de Juegos, Videojuegos & eSports y socio fundador de Cafeína, Asociación para la difusión de la Inteligencia Artificial en la Educación.

Juana Julieta Noguez Monroy

Julieta Noguez is a Professor-Researcher in the Department of Computing at the Tecnológico de Monterrey Campus Ciudad de México since 1995. She received a Ph.D. in Computer Science from Tecnológico de Monterrey in 2006. She is co-leader of the Advanced Artificial Intelligence research group. She is responsible for the CyberLearning & Data Sciences laboratory. She belongs to the National System of Researchers of Mexico (SNI level II), the IEEE Computer Society, and the IEEE Education Society. She is an Associate Editor of the IEEE Transaction on Learning Technology journal. She has published over 150 research articles in international journals and conferences. She has supervised 12 doctoral theses and 14 master's theses. Her research interests are data science and artificial intelligence in various disciplines and computational technologies and intelligent systems in Education.

Gildardo Sánchez Ante

Gildardo Sánchez is a Chemical Engineer from the University of Guadalajara, Master and Doctor of Computer Science from Tecnológico de Monterrey. Visiting researcher at the Robotics Laboratory of Stanford University (1999-2001). Associate Researcher at the National University of Singapore (2004-2005). Former founding Rector of the Polytechnic University of Yucatán. He is currently a Professor-Researcher at the School of Engineering and Sciences of Tecnológico de Monterrey in Campus Guadalajara. He is part of the Advanced Artificial Intelligence research group and collaborates with the Artificial Intelligence Hub.

Senior Member of the IEEE and the ACM. Regular Member of the Mexican Academy of Computing. Member of the National System of Researchers, Level 1. He conducts research on motion planning for robots, and the use of machine learning and pattern recognition for complex problems.