A central assumption of the scientific method is that inferences derived from group-level
analysis align with and generalize to the individual level. This study was conducted to put …

In learning analytics and in education at large, AI explanations are always computed from
aggregate data of all the students to offer the “average” picture. Whereas the average may …

This chapter provides an introduction and an overview of this edited book on Multimodal
Learning Analytics (MMLA). The goal of this book is to introduce the reader to the field of …

Complex dynamic systems offer a rich platform for understanding the individual or the
person‐specific mechanisms. Yet, in learning analytics research and education at large, a …

This study investigates the relationship between students' self-efficacy beliefs, goal-setting,
and learning tactics in an online business course. Using sequence analysis and process …

Learning has long been described as a complex system that involves the interactions of
several elements across time, persons and contexts [1–3]. Such descriptions include …

Abstract Multimodal Learning Analytics (MMLA) constitutes a broad set of research goals,
approaches, and methodologies. Researchers have embarked upon projects that advance …

Interventions play a crucial role in completing the learning analytics cycle. However, there is
limited research available on how students utilize these interventions or whether there is any …

To be effective, support based on learning analytics (LA) necessitates that students'
attitudes, needs, and expectations are taken into account. Recently, research exploring …