Digitale Lernumwelten, studentische Diversität und Learning Outcomes: Empirische Befunde und Implikationen für die digitale Hochschulbildung

Abstract

Digital learning environments using artificial intelligence (AI) are viewed as better able to accommodate the diversity of students, their different life situations, different learning conditions and experiences, as they allow individuals to learn more flexible and more personalised, independent of time and place, and thus contribute to their success in learning and studying. This paper provides an overview of the ways in which student diversity has been included in empirical research on digital higher education (involving AI) to date. While diversity-oriented studies on ICT literacy and on the media use or media preferences of various student groups are available internationally, effects of digital learning environments, different digital learning formats or even AI on the learning outcomes of a diverse student body (e.g. learning success, mobility) are rarely addressed. Therefore, we present current findings on the influence of digital learning environments on the mobility of diverse students as an example and point out the starting points, but also challenges that exist for future research in this area.