Track 1
Emerging Technologies and Intelligent Education

This track addresses the use of emerging technologies applied to the educational field to transform teaching and learning processes. It includes applications of artificial intelligence for personalized learning, machine learning-based models and platforms for predicting student performance, and blockchain-based platforms for academic certification. It also explores the use of chatbots and virtual assistants in inclusive teaching-learning processes, predictive analytics for early intervention in education, and generative artificial intelligence together with autonomous agents applied to education.

Objectives

Track 1: Emerging Technologies and Intelligent Education

Thematic Coordinators: PhD. Vladimir Robles, PhD. Esteban Inga, Fr. Marcos Martínez, SDB, Mgtr. Miguel Quiroz.

Specific Objective
To analyze and apply emerging technologies, such as artificial intelligence, machine learning, data analytics, and intelligent systems, to strengthen and transform educational processes, promoting personalized learning, improving academic performance, and supporting evidence-based decision-making.

Thematic areas:

  1. Applications of Artificial Intelligence in Personalized Learning.
  2. Machine learning–based models and platforms for predicting student performance.
  3. Platforms based on Blockchain for academic certification.
  4. Chatbots and virtual assistants in teaching–learning processes with an inclusive approach.
  5. Predictive analytics for early intervention in teaching–learning processes.
  6. Generative artificial intelligence and autonomous agents applied to education.