Getting Students' Preferences Right

Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes from a multidimensional perspective, identifying areas of improvement and how AI can be instrumental in enhancing the student experience. We contribute with evidence-based research to the exploration of how to design and implement an effective macrolearning. Results show that the most preferred dimensions of the macrolearning are those with a technical profile, first the technological platform, then the interface design, followed by institutional aspects, pedagogical aspects, and student support. We also explore the potential of AI to enhance multiple dimensions of macrolearning in the direction of the drawbacks identified, and we discuss how this can accommodate personalisation of training.