Factorial survey experiments (FSEs) are increasingly used in the social sciences. This paper provides a review about the use of FSEs and aims to answer three research questions. (1) How has this specific research field developed over time? (2) Which methodological advances have been made in FSE research and to what degree are they applied in empirical studies? (3) Which questions remain unresolved and should be addressed in future research? …

The use of machine learning found its way into the field of educational research and address the necessity of data-driven student advisory. Notwithstanding the plethora of current research that predicts and quantifies aspects of students’ academic success in various situations during a student’s course of study, most studies focus on the technical aspects and overlook potential of direct discrimination. In addressing this gap, …

Given its ability to handle a large amount of data, artificial intelligence (AI) has the potential to improve data-driven decisions under various situations. The present research identifies the necessary conditions for the implementation of an AI-based advisory system (AS) in higher education. Using a factorial survey design, we examine experimentally varied features of an AI-based AS to explore students’ willingness to use it and students’ willingness to share their data as a core challenge for successful implementation …