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…

In understanding how active and blended learning approaches with learning technologies engagement in undergraduate education, current research models tend to undermine the effect of learners' variations, particularly regarding their styles and approaches to learning, on intention and use of learning technologies. This study contributes to further…

There has been substantial research evidence concerning the learning approaches of students in Western and non-Western contexts. Nonetheless, it has been a decade since research in the South Pacific was conducted on the learning approaches of tertiary students. The present research examined the learning approaches of Fijian and other Pacific…

The Biggs' Study Process Questionnaire (SPQ) was used to test competing models of students' approaches to learning in a sample of undergraduate students (n = 125) from an inquiry based Bachelor of Health Sciences program. In addition to an internal consistency and test-retest reliability analysis of the SPQ, confirmatory factor analysis was used…

Factor analysis of a version of the Mathematics Anxiety Rating Scale (MARS) and the Study Process Questionnaire (SPQ) given to (n=173) introductory statistics students found 6 factors: general evaluation anxiety, everyday numerical anxiety, passive observation anxiety, performance anxiety, mathematics test anxiety, and problem-solving anxiety. (39…

Results of an Australian study of the Biggs Study Process Questionnaire (SPQ) are presented. The purposes of the research were to: (1) re-examine the SPQ's internal consistency; (2) explore dimensionality of the SPQ scales; and (3) investigate validity of Bigg's model of the study process complex through factor analysis. (Author/GK)