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Scientific Track: TICEC proceedings are published in the Springer series Communications in Computer and Information Science – CCIS to be indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.

CCIS volumes are also submitted for the inclusion in ISI Proceedings.

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Technical Track: TICEC proceedings are published in a special volume of the journal RTE ESPOL to be indexed by Latindex, Google Scholar, Crossref, and more.

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Doctoral Symposium: The accepted papers in the first and second editions of the Doctoral Symposium on Information and Communication Technologies – DSICT were published in the Lecture Notes in Electrical Engineering – LNEE and Communications in Computer and Information Science – CCIS book series from Springer.

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Xavier Ochoa, Ph.D.

New York University

The University in an AI-driven World

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.

Carlos Alario, Ph.D.

Universidad Carlos III de Madrid

The University in an AI-driven World

In recent months there has been 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 knowledgecompetencies, 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.