Over the years, CLICKS has partnered with regional and international organizations to deliver projects of high relevance to the higher education sector.
One of our most recent and prominent collaborations is with Studiosity (Australia) and a growing number of universities in the UAE, with further expansion planned.
Through the Future Focus: AI in Higher Education Initiative, we aim to promote a systematic and institution-wide approach to AI adoption. The initiative brings together university leaders and experts to:
A key outcome of this initiative is the development of the AI in Teaching and Learning Adoption Framework for Higher Education, designed to guide universities in their AI journey.
Chancellor, Abu Dhabi University, UAE
Provost, American University in Dubai, UAE
Vice President Research, American University in the Emirates
Acting President, Abu Dhabi School Of Management, UAE
President, University of Wollongong in Dubai, UAE
Vice President for Institutional Advancement & External Relation, American University of Ras Al Khaimah, UAE
Vice President University Advancement, Canadian University Dubai, UAE
Vice Provost, Undergraduate Affairs & Instruction, American University of Sharjah, UAE
Vice Chancellor Academic Affairs, University of Kalba, UAE
Vice Chancellor Academic Affairs, Ajman University, UAE
Vice President (Accreditation & QA), Al Ain University, UAE
Dean, DMCG, Dubai Medical University, Dubai
Pro Vice Chancellor, Amity University Dubai, UAE
Student Board, Centre for Academic Integrity, Ajman University, UAE
The AI in Teaching and Learning Adoption Framework for Higher Education is designed to guide higher education institutions in the responsible and systematic integration of AI across curriculum, pedagogy, learning, and assessment. It emphasizes ethical use, strong governance, and the promotion of equity, access, and inclusion.
Serving as a roadmap, self-assessment tool, and benchmarking resource for academic leaders and practitioners, the framework helps institutions enhance learning experiences, build capacity among instructors and students, and develop robust AI-enabled infrastructure.
It also supports institutions in quality assurance, evaluating their current AI adoption practices, identifying gaps, and aligning with emerging best practices.
