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Editorial
Authors:Greville Rumble
Institution:1. Open and Distance Learning Consultant , Australia;2. Anadolu University , Turkey
Abstract:The first article in this issue raises some fascinating issues that relate to my own background in research into student learning and experience of courses in conventional higher education. Richardson, Long and Woodley have administered the Academic Engagement Form', used widely in colleges in the USA, and the 'Course Experience Questionnaire', used widely in universities in Australia, to distance learning students. John Richardson and various colleagues have previously shown that these questionnaires, separately, work as well in distance learning contexts as they do in conventional contexts: that is, they identify the same factors as components of students' experience, and the same factors relating to overall perceptions of quality of experience, as in conventional contexts. Of the many findings reported in the study reported in this issue of Open Learning, two stand out for me. First, academic engagement is shown to play a key role in students' perceptions of academic quality: engaged students perceive their course to be of higher quality. This does not tell us if students who are happy with their courses become more engaged or if those who are engaged become happier with their courses, however, merely that they are related. 'Engagement' here encompasses both social and academic engagement as defined in Tinto's model of student retention. Second, students' overall perceptions of academic quality are mediated by their perceptions of their tutors. The authors conclude: '... the attitudes and behaviours of tutors are crucial to students' perceptions of the academic quality of courses in distance education'. In conventional contexts the item on the Course Experience Questionnaire that relates most closely to student performance concerns the quality of teacher feedback, not teaching, and this is easy to understand in a distance context. The methodology of this paper (relying on factor analysis of questionnaires and multivariate analysis of the relationship between questionnaire scale scores and background variables such as age, gender, educational qualifications, workload and hearing status) may be relatively unfamiliar to readers of Open Learning. What is perhaps more familiar is that such an analysis adds to similar conclusions about the centrality of the tutorial role in ODL students' learning from very different kinds of study (such as of the relationship between tutorial attendance and student performance). There is a growing body of evidence that the same variables are involved in student perceptions of courses and of academic quality in distance learning contexts as in conventional contexts.
Keywords:eLearning  e‐Transformation  Mega‐university  Open education
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