Discovery Space Project Overview

Traditional assessments of cognitive skills and knowledge acquisition are in place in most educational systems. These approaches though are not harmonized with the innovative and multidisciplinary curricula proposed by current reforms focusing on the development of 21st century skills that require in-depth understanding and authentic application. This divergence must be addressed if STEM education is to become a fulfilling learning experience and an essential part of the core education paradigm everywhere.

Discovery Space based on rooted research in the field and long-lasting experience employing ICT-based innovations in education proposes the development of a roadmap for the AI-Enhanced Classroom for Deeper Learning in STEM that facilitates the transformation of the traditional classroom to an environment that promotes the scientific exploration and monitors and supports the development of key skills for all students.

The Discovery Space project started in January 2023 and will have a duration of three years. The project starts with a foresight research exercise to increase the understanding of the potential, opportunities, barriers, accessibility issues and risks of using emerging technologies (AI-enabled assessment systems combined with AR/VR interfaces) for STEM teaching, considering at the same time a framework for the sustainable digitisation of education.

The project will design an Exploratory Learning Environment (Discovery Space) to facilitate students’ inquiry and problem-solving skills while they are working with virtual and remote labs. This will be enabled with AI-driven lifelong learning companions to provide support and guidance and with VR/AR interfaces to enhance the learning experience, to facilitate collaboration and problem solving. It will also provide Good Practices of Scenarios and pilots to equip teachers and learners with the skills necessary for the use of technology in creative, critical and inclusive ways as well as to develop an adequate Teacher Training Academy in relation with the practices in the AI-Enhanced Classroom