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…

Learning is an important aspect of active ageing, yet older people are not often included in discussions of the issue. Older people vary in their need, desire, and ability to learn, and this is evident in the context of technology. The focus of the data analysis for this paper was on determining the place of learning and technology in active…

Data sets from Australia were analyzed using a causal model to determine the possible causes of sex differences in ASAT scores. Observed differences could be explained in terms of differences in students' English scores, the time the students spent studying mathematics, and their confidence in success. (Author/MLW)

The importance of attudinal and motivational dispositions and of external influences on the academic achievement of students completing the final year of secondary schooling in three Australian states is examined. A model of academic achievement is proposed, and step-wise multiple regression is used to analyze the data. (Author/MLW)