TICEC es la conferencia sobre Tecnologías de la Información y la Comunicación más importante del Ecuador. Este evento ofrece una variedad de actividades científicas y técnicas acompañadas de presentaciones culturales típicas de la ciudad anfitriona. Nuestros participantes podrán disfrutar de un evento académico, científico y cultural durante 3 días en una ciudad nombrada Patrimonio Cultural de la Humanidad.

Invitamos cordialmente a toda la comunidad científica a planificar su asistencia al TICEC del 18 al 20 de octubre de 2023 en Cuenca, Ecuador. La sede será la Universidad de Cuenca


Call for Papers

Fecha límite de envío

16 de Julio

Notificación de aceptación

21 de Agosto

Carga de versión final

24 de Agosto

Registro de autores

17 de Septiembre

Call for Workshops

Fecha limíte de envío de propuestas

25 de Junio

Notificación de aceptación

09 de Julio

Call for Tutorials

Fecha limíte de envío de propuesta

30 de Julio

Notificación de aceptación

11 de Agosto

TICEC desarrolla diversas actividades científicas en el ámbito de las Tecnologías de la Información y la Comunicación. Con tu inscripción tendrás acceso a:

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Wireless Hacking with Microcontrollers

This workshop will introduce participants to wireless hacking using microcontrollers, employing techniques such as: spectrum analysis, fake Access Point (AP), fake channel hopping AP, MAC flooding attack, DHCP starvation attack, and more, using MicroPython. During the tutorial, we will examine Wi-Fi vulnerabilities and work with Open-Source applications. Additionally, we will set up cost-effective Open-Source hardware and execute attack vectors using microcontrollers. 

Requirements to attend this workshop:  

  • Web Browser.
  • MicroPython. 
  • Mu y/o Thonny. 


Darío Valarezo León


Xavier Ochoa, Ph.D.

New York University


Learning Analytics and Artificial Intelligence: Opportunities and Hazards

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.