Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…

The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the…

Evaluating the quality of inquiry using technology in blended contexts at university is a complex phenomenon as there are many variables which could account for qualitative variation in the experience. This study looks at reasons for qualitative variation in the university student experience of inquiry using technologies. It considers approaches…

This study focused on students' conceptions of and approaches to learning through face-to-face and online discussions. The study setting was a course in which students (N = 110) worked in small teams and in which team discussions took place both face-to-face and online. The design of the study involved a combination of in-depth interviews and…

This paper reports a phenomenographic investigation into students' experiences of learning through discussion--both online and face to face (F2F). The study context was a second-year undergraduate course in psychology for social work in which the teacher had designed discussion tasks to begin in F2F mode and to continue online. A combination of…