To advance global knowledge, practice and policy in applying data science to transform higher education learning and teaching that improves personalisation, access and effectiveness of education for all.
Global Collaboration for Data Science in Education
Strengthen global cooperation among researchers, policymakers, and practitioners to advance data science knowledge, tools, and practices in higher education learning and teaching. The chair will convene a global biannual meeting and encourage and attend regional meetings that bring together people from a diversity of countries. Network meetings will be arranged to occur alongside international meetings to maximise people’s time and energy. Strategies will be developed to extend to communities that are not yet participating in these kinds of activities.
Developing a Data Science Knowledge Base for Research and Practice
Create poles of excellence and innovation at the regional and subregional level that advance knowledge, tools and practices of data science in all fields of knowledge. The chair and network will develop the knowledge base for researcher preparation in data science in fields that need to accelerate progress in understanding the role and potential of big data. Books, articles, training materials, and online seminars will be developed to support individual and team-based learning.
Building a Dynamic Data Science Community
Reinforce the dynamism of networks and partnerships that promote transdisciplinary research on using data science to improve the global enterprise of higher education teaching and learning. The chair will provide thought leadership and organisational support for the evolution of a community of practice and will provide that network with learning options, materials, and delivery mechanisms.
“The UNESCO Chair is a vital step towards unlocking the full potential of data science in higher education. By fostering global collaboration and creating centres of excellence, it will undoubtedly shape the future of learning and teaching.””
Dirk Ifenthaler
UNESCO Co-Chair on Data Science in Higher Education Learning and Teaching