Application of technology to teaching and learning, open sharing of data, information and knowledge to support open science. This research area focuses on the use of ICT in the education domain, investigating the latest development of educational technologies and applying them in real contexts. This area also explores and disseminates the use of technology to support open science.
Educational and Open-Science Technologies - ISIN
Research area in
Educational and Open-Science Technologies
The scientific sector in Educational Technologies is a dynamic and innovative field that explores the design, development, and evaluation of learning environments and experiences, aiming to enhance the quality, effectiveness, inclusiveness, engagement, flexibility of education. This sector focuses on the use of ICT in higher and vocational education, mainly dealing with the creation and delivery of open educational content, the recognition of skills, digital assessment, the creation of interactive experiences. The latest developments of educational technologies are studied in research projects and tested in different real contexts.
Expertise: open educational resources, micro-credentials and open badges, qualification frameworks, competence mapping and recognition, learning management systems (e.g. Moodle), tools for interactive content and interactive video.
Expertise: open educational resources, micro-credentials and open badges, qualification frameworks, competence mapping and recognition, learning management systems (e.g. Moodle), tools for interactive content and interactive video.
This scientific sector deals with the use of technologies to support open science, focusing on open data, open education, open innovation, and open access. Various stakeholders, such as private organizations, public institutions, researchers and academic communities have a massive amount of data that can be of huge economic, scientific and social value. The usefulness of such data can increase considerably if data are made easily findable, accessible, interoperable, and re-usable according to the FAIR principles. To this aim open data technologies and open science principles can be used in real application domains, such as, smart cities and smart environment.
Expertise: open data, open research data (ORD), open science enabling technologies, open data for public administrations, semantic web and linked open data technologies.
Expertise: open data, open research data (ORD), open science enabling technologies, open data for public administrations, semantic web and linked open data technologies.
Web application portals, devices for MR (HoloLens2, Meta Quest, Nreal Light).