Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies--personalised system of instructions and learning for mastery (LFM)--by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate…

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…

This study examined whether: (1) the non-academic constructs of psychological well-being, motivation to learn and quality of life (QOL) explained the variance in the academic achievement of students with disability; and (2) students with a mental health disability (MHD) differed from students with other disability on academic achievement and on…

This study examined predictors of students' intentions to access face-to-face (f2f) or online options for lectures and tutorials in a buffet-style blended learning 2nd-year psychology statistics course ("N" = 113; 84% female). Students were aged 18 to 51 years ("M" = 23.16; "SD"= 6.80). Practical and technological…

Learning processes, as measured by the Approaches to Studying Inventory, contributed to the prediction of freshman grades of 181 Australians. Other measures, such as college entrance examinations, locus of control, and student background characteristics, had less predictive ability. (GDC)