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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.

2022
2021
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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.

2022
2021
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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.

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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. 

Instructores

Darío Valarezo León

Organizadores

Xavier Ochoa, Ph.D.

New York University

USA

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

Spain

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.