Track 2
Personalized Learning and Adaptive Systems

This track focuses on methodologies and systems designed to adapt teaching to the individual needs of students. It includes teacher training and the use of intelligent tutoring systems in inclusive technological contexts, taking into account the ethical dimension of teaching. In addition, it addresses Research-Based Learning (RBL), Project-Based Learning (PBL), and Challenge-Based Learning (CBL) integrated with technology, as well as adaptive and inclusive assessment based on data analytics, and the use of Big Data for personalized learning and educational decision-making. It also incorporates MOOCs, micro-credentials, and flexible learning models such as microlearning and nanolearning, along with curriculum design supported by generative artificial intelligence.

Objectives

Track 2: Personalized Learning and Adaptive Systems

Responsables Temáticos: PhD. Raquel Ayala Carabajo, PhD. Angela Flores, PhD. Susana Lam, Mgstr. Joe Llerena.

Specific Objective
To examine and strengthen innovative pedagogical approaches based on personalized learning and adaptive systems, integrating digital technologies, artificial intelligence, and data analytics to optimize teaching processes, assessment methods, and teacher training in dynamic and diverse educational contexts.

Thematic areas:

  1. Teacher development and the use of intelligent tutoring systems in inclusive technological contexts, considering the ethical dimension of teaching.
  2. Research-Based Learning (RBL), Project-Based Learning (PBL), and Challenge-Based Learning (CBL) integrated with technology.
  3. Adaptive and inclusive evaluation based on data analytics.
  4. Big Data and analytics for the personalization of learning and educational decision-making.
  5. MOOCs, micro-credentials, and flexible learning models, including microlearning and nanolearning.
  6. Curriculum design supported by generative artificial intelligence.