Universidad Carlos III de Madrid
In recent months there has been a frenetic activity in the development of Artificial Intelligence (AI)-based tools. Especially due to recent developments in generative AI and the popularization of this term and specific tools in the media and social networks. These tools affect multiple sectors and higher education is definitely one of them.
Content generation, student support, assessment and certification of knowledge, competencies, and also research in education are strongly impacted by these new tools. Universities must modify their structures and processes to cope with these new changes, without forgetting the adequate training of teaching staff and taking into account the ethical aspects related to the use of AI-based tools. This talk collects some of the most recent advances in this field, which is evolving at a great speed.
New York University
The use of Machine Learning and Artificial Intelligence algorithms is not new in education or in Learning Analytics. However, recent advances in generative models, such as massive language models (LLMs), have radically transformed the potential applications of these technologies. In this talk, we will explore the various ways in which generative models, whether in text, images or audio, can be used to create Learning Analytics tools that foster deliberate practice, reflection, self-regulation and creativity in both students and teachers. Likewise, we will also visit possible dystopias resulting from an inadequate application of these models in the educational field.
In this talk we will also evaluate technical (What is possible?), pedagogical (What is beneficial for learning?), and ethical (What is beneficial for the individual and society?) issues. While this talk will not provide definitive answers to these last two questions, it will offer guidelines that each individual can use to address them in his or her own research and teaching practice.