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Direct linkPardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
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…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Dryer, Rachel; Henning, Marcus A.; Tyson, Graham A.; Shaw, Rosemary – International Journal of Disability, Development and Education, 2016
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…
Descriptors: Foreign Countries, College Students, Disabilities, Academic Achievement
Hood, Michelle – Australasian Journal of Educational Technology, 2013
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…
Descriptors: Blended Learning, Intention, Online Courses, Computer Software
