Mapping artificial intelligence integration in higher education: a systematic review using the FACETS and SAMR frameworks

A systematic review is underway to map the integration of Artificial Intelligence (AI) into higher education, addressing the fragmented nature of existing literature. The review aims to classify AI applications using the SAMR model (Substitution, Augmentation, Modification, Redefinition) and analyze reported outcomes and challenges. It also intends to apply the FACETS framework to enhance comparability across studies.

The systematic analysis of AI integration in higher education is crucial for understanding its transformative potential and managing its implications across various sectors. This research provides a foundational framework for evaluating AI's impact on educational models, workforce development, and organizational strategy, informing decisions on technology adoption and skill development at an institutional level.

Artificial intelligence (AI) is significantly influencing higher education across various domains including teaching, learning, assessment, and curriculum design.

Forward consideration, not a verified fact.