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REGISTRATION

TICEC is the most important conference on Information and Communication Technologies in Ecuador. The event’s agenda offers a variety of scientific and technical activities accompanied by cultural attractions. Our participants will enjoy a 3 days-event in a city designed as one of THE WORLD’S MOST IMPORTANT HISTORICAL DESTINATIONS according to the NATIONAL GEOGRAPHIC TRAVELLER in 2008.

We cordially invite the entire scientific community to plan and attend the 11th edition of TICEC on October 18 – 20, 2023 in Cuenca, Ecuador.

IMPORTANT DATES

Call for Papers

Paper submission deadline

July 16

Acceptance notificacion

August 21

Final version submission

August 24

Registration

September 17

Call for Workshops

Proposal form submission deadline

June 25

Acceptance notificacion

July 09

Call for Tutorials

Proposal form submission deadline

July 30

Acceptance notificacion

August 11

TICEC has several scientific activities in the area of Information and Communication Technologies. With your registration you will have access to:

  • Presentation of scientific and technical papers
  • Keynote talks with world-renowned presenters
  • Workshops
  • Practical tutorials
  • Includes: Lunch and coffee breaks (Applies for attendance on the 18th and 19th).

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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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.