Higher Education Classroom Of the Future (HECOF) project will be implemented by a mixed partnership of organisations from different sectors that have the capacity to innovate in terms of digital tools and teaching and learning methods for the higher education systems, by leveraging the power of AI and machine learning for student assessment and adaptive learning based on individual learner’s performance and behavior. The main goal of the HECOF initiative is to create systemic change in higher education teaching practice and national reforms in education by developing and testing an innovative personalised, adaptive way of teaching that exploit the digital data from students' learning activity in immersive environments and use computational analysis techniques from data science and AI. The project wil design and develop this learning system with a conceptual focus on "Chemical Engineering" academic discipline and will engage teaching staff and students from two pilot universties in its desing and pilot testing. HECOF also wants to foster the development and uptake of safe and lawful AI that respects fundamental rights by providing insights on ethical and legal issues around the design of the system. It will drive the policy agenda by formulating recommendations on the role and use of AI for personalised, adaptive learning HECOF technology has a clear potential to be mainstreamed in vocational education and training sector for employees in chemical engineering sector. Therefore, HECOF will support the first strategic priority of the Digital Education Action Plan (2021-2027), the development of a high-performing digital education ecosystem, by building capacity and critical understanding in all type of education and training institutions on how to exploit the opportunities offered by digital technologies for teaching and learning at all levels and for all sectors and to develop and implement digital transformation plans of educational institutions.
Higher Education Classroom Of the Future (HECOF) project will be implemented by a mixed partnership of organisations from different sectors that have the capacity to innovate in terms of digital tools and teaching and learning methods for the higher education systems, by leveraging the power of AI and machine learning for student assessment and adaptive learning based on individual learner’s performance and behavior. The main goal of the HECOF initiative is to create systemic change in higher education teaching practice and national reforms in education by developing and testing an innovative personalised, adaptive way of teaching that exploit the digital data from students' learning activity in immersive environments and use computational analysis techniques from data science and AI. The project wil design and develop this learning system with a conceptual focus on "Chemical Engineering" academic discipline and will engage teaching staff and students from two pilot universties in its desing and pilot testing. HECOF also wants to foster the development and uptake of safe and lawful AI that respects fundamental rights by providing insights on ethical and legal issues around the design of the system. It will drive the policy agenda by formulating recommendations on the role and use of AI for personalised, adaptive learning HECOF technology has a clear potential to be mainstreamed in vocational education and training sector for employees in chemical engineering sector. Therefore, HECOF will support the first strategic priority of the Digital Education Action Plan (2021-2027), the development of a high-performing digital education ecosystem, by building capacity and critical understanding in all type of education and training institutions on how to exploit the opportunities offered by digital technologies for teaching and learning at all levels and for all sectors and to develop and implement digital transformation plans of educational institutions.