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Seyum Getenet; Robert Cantle; Petrea Redmond; Peter Albion – International Journal of Educational Technology in Higher Education, 2024
This study utilised students' online engagement, digital technology attitude, digital literacy, and self-efficacy theories to develop and test a model connecting these factors within a regional university in Australia. A field survey collected data from 110 first-year students. AMOS 28 was employed for measurement and structural model path…
Descriptors: Student Attitudes, Self Efficacy, Electronic Learning, Learner Engagement
Jill Lawrence; Alice Brown; Petrea Redmond; Jay Cohen; Stephanie Foote; Cathy Stone – Student Success, 2024
The Australian Universities Accord's (Department of Education, 2024) focus on expanding underrepresented groups' access to higher education underscores an on-campus-online paradigm shift, or post-pandemic digital transformation, to address students' flexibility and accessibility needs. The shift identifies that online student engagement, and…
Descriptors: Learner Engagement, Electronic Learning, Foreign Countries, Universities
Alice Brown; Jill Lawrence; Megan Axelsen; Petrea Redmond; Joanna Turner; Suzanne Maloney; Linda Galligan – Distance Education, 2024
Nudging has been used in a range of fields to shape citizens' behavior and promote public priorities. However, in educational contexts, nudges have only been explored relatively recently, with limited but promising evidence for the role of nudging used to increase engagement in online study, particularly in higher education. This paper reports on…
Descriptors: Foreign Countries, College Students, Intervention, Learning Management Systems
Christopher Dann; Petrea Redmond; Melissa Fanshawe; Alice Brown; Seyum Getenet; Thanveer Shaik; Xiaohui Tao; Linda Galligan; Yan Li – Australasian Journal of Educational Technology, 2024
Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…
Descriptors: Artificial Intelligence, Learner Engagement, Feedback (Response), Decision Making