Mariia Goikhman

Research Center: Augmented Intelligence
Research Unit: I3
Cycle: 39
Università degli Studi di Trento
Cognitive Science

Educational AI 1/2

The aim of this Ph.D project is to explore innovative, technology-based approaches to facilitate playful education for inclusive, collaborative and student-centered learning environments. The project aims to develop semi-automatic and adaptive educational paths, as well as personalized support systems that benefit both educators and learners. This will involve utilizing various technologies and methods, such as end-user programming or multimodal, competence-based learning, to co-create learning activities that consider specific needs and preferences. The ideal candidate will have a background in Computer Science, Psychology or Cognitive Science, with knowledge of data science, artificial intelligence, and educational theories. Experience in designing interactive digital technologies, conducting experimental and in-the-wild studies, and promoting inclusive, collaborative learning environments would be advantageous and should be gained during the Ph.D training.

Advisor Name

Massimo
Zancanaro