In the era of rapidly advancing AI students need help to develop a reliable compass to navigate with confidence through an increasingly complex, volatile and uncertain world. Schools need to shift from teaching learners to reproduce established wisdom of our times to questioning and extending it!
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The project includes three interrelated strands:
Technology frontiers of digitalisation: What are the most promising models of digital technology and data use in education? How can digitalisation lead to transformations in education?
Current frontiers of digitalisation
Foresight: What are different options of using smart technologies in school and higher education? What forms of governing smart technologies and digitalisation can we envision in the medium term?
Policy implications: How do, or could, countries address the policy, regulatory and cultural challenges associated with digitalisation to reap the benefits of a smart use of data and digital devices? What are the new challenges they should put on their policy agenda?
A series of international seminars
A set of future scenarios for strategic thinking
An international reports including:
Medium-term frontiers and futures scenarios
Identification of risks and policy challenges
Examples of promising practices
Smart uses of digital devices or software for enhancing learning inside and outside the classroom.
Smart uses of data produced or collected in formal education settings for the personalisation of learning and for improving decision-making and policies in education (learning analytics based on instructional and administrative education data, research and evaluation, policy design).
Personalisation of learning and improvement of AI-based decision-making and policies in education.
Learning analytics based on big data: new uses of personal data gathered through Internet navigation, social networks, and networked devices and sensors for personalising and improving people’s educational experience and outcomes.
Desk research and commissioning of papers on main trends and dimensions of digitalisation in education, such as Learning Analytics, Machine Learning, Adaptive Learning, Artificial Intelligence, Robotics, Blockchain, Big Data, Data Capture etc.
Stakeholder dialogue with policymakers, practitioners, learners, researchers and developers to discuss current and future uses of data and digital devices in education.
Future scenario building exercise to contemplate possibilities related to the digitalisation of education as well as foreseeable challenges.
Discussion on countries’ regulatory frameworks on education data use and access, and their overall administrative data infrastructure.
COVID-19 Education Continuity Stories
The Covid-19 pandemic has revealed how education systems have dealt with school closures and has shifted our understanding of digital education.
The stories aim to understand the ability of education systems, learners and teachers to use digital technology and resources for learning, teaching and managing the education system during the crisis.
Paper: Vincent-Lancrin, S. and R. van der Vlies (2020), "Trustworthy artificial intelligence (AI) in education: Promises and challenges", OECD Education Working Papers, No. 218, OECD Publishing, Paris, https://doi.org/10.1787/a6c90fa9-en.
Paper: van der Vlies, R. (2020), "Digital strategies in education across OECD countries: Exploring education policies on digital technologies", OECD Education Working Papers, No. 226, OECD Publishing, Paris, https://doi.org/10.1787/33dd4c26-en.
Webinar: Connecting the dots: Interoperability in the field of educational technology, 16 February 2022 (watch the replay). Presentation of Hideto Harashima, Professor, Maebashi Institute of Technology, and Founder, Moodle Association of Japan and Jan Renz, Germany.