Use of AI within the classrooms, in the teaching, learning and evaluation process

The purpose of research in this area is to explore how Artificial Intelligence can improve the effectiveness of teaching and learning. This may involve developing AI systems that adapt to individual student needs, provide personalized learning materials, identify areas of weakness and strength, and offer real-time feedback. It may also include research into how AI can help educators assess and track student progress more efficiently.

Identify key competencies for employment in the Digital Age

Research in this field aims to identify the skills and competencies that will be most valuable in the future of work. This can include technical skills, such as programming and data analysis, as well as soft skills, such as critical thinking and problem solving. The purpose of this research is to help educators and policy makers prepare students for the future of work.

Personalize/individualize learning

The purpose of research in this area is to develop and evaluate methods for tailoring instruction to the individual needs, abilities, and interests of each student. This may involve using technology, such as adaptive learning systems, or implementing pedagogical approaches, such as differentiated instruction.

Foster human-machine collaboration competence

Research in this field aims to understand how humans and machines can work together more effectively. This may involve developing new forms of human-computer interaction, as well as education and training to prepare students for a future in which human-machine collaboration will be an integral part of work and everyday life.

Equity and inclusion in higher education

The purpose of research in this area is to identify and eliminate barriers that prevent certain groups of students from accessing and succeeding in higher education. This may involve researching policies and practices that promote equity and inclusion, as well as evaluating the effectiveness of these policies and practices.