Augmented Intelligence for Pedagogically Sustained Training and Education

Abstract

This paper presents a novel pedagogical framework that aims to promote both basic skills and 21st century competencies by integrating emerging technologies. The proposed framework builds on the strengths of big data and learning analytics to provide different types of stakeholders with explainable recommendations for smart identification of educational resources, as well as for designing personalized learning profiles that consider individual actors’ characteristics, needs and preferences. By leveraging advancements from the fields of Pedagogical Design, Creative Pedagogy, Explainable Artificial Intelligence, and Knowledge Representation and Reasoning for instructional purposes, the framework is able to provide guidelines to stakeholders on how to address underlying educational difficulties and disabilities, shape individual learning paths, and identify cases of gifted and talented students.