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Conference topics

Information and Communication Technologies (ICT) covers several related topics where their applications have been significant nowadays. TICEC offers authors the possibility to publish their articles as long as they are related to the topics of the conference below.

ICTS AND THEIR APPLICATIONS

  • Smart Healthcare
  • Telemedicine
  • Smart Cities
  • Digital Twins
  • Industry 4.0
  • Internet of Things
  • Cyber-physical systems
  • Human-machine interface
  • Ambient Assisted Living
  • Biosensors
  • Neural mechanics
  • Remote monitoring
  • Biomedical sensors
  • Wearable systems
  • Environmental applications

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

  • Process mining
  • Data mining
  • Data analysis
  • Deep Learning
  • Neural Networks
  • Chatbots
  • Expert Systems
  • Computational Intelligence
  • Natural Language Processing
  • Neuromorphic systems
  • Sentiment Analysis
  • Big Data
  • Machine learning
  • Large Language Models

SOFTWARE

  • Software development
  • Information security
  • e-Learning
  • Networks systems
  • Cloud Computing
  • Cybersecurity
  • Augmented Reality
  • Virtual Reality
  • Mobile development
  • Geolocation
  • Serious games
  • Ergonomic systems
  • Education Technologies
  • Immersive environments

For manuscripts focused entirely on e-Learning and Learning Technologies, we recommend you submit them to our related conference LACLO 2023.

Call for Papers LACLO 2023

HISTORY

ABOUT US

TICEC is the most important conference on Information and Communication Technologies in Ecuador. Every year this event brings together researchers, students and professionals in the field of ICTs to share knowledge, know-how and experiences in the field of design, development and application of ICTs in several fields.

CONTACTS US

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POWERED BY

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 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.