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Gwo-Jen Hwang; Shu-Yun Chien; Ting-Wei Chen; Chun-Chun Chang – Educational Technology Research and Development, 2025
Science education aims to enhance students' scientific knowledge and inquiry ability. In recent years, due to the advancements of computer and network technology, as well as the considerations of safety and cost, virtual reality (VR) has been gradually applied in scientific inquiry activities. When implementing inquiry-based learning in the past,…
Descriptors: Logical Thinking, Reflection, Electronic Learning, Observation
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Lawson, Celeste; Beer, Colin; Rossi, Dolene; Moore, Teresa; Fleming, Julie – Educational Technology Research and Development, 2016
Learning analytics is an emerging field in which sophisticated analytic tools are used to inform and improve learning and teaching. Researchers within a regional university in Australia identified an association between interaction and student success in online courses and subsequently developed a learning analytics system aimed at informing…
Descriptors: Data Collection, Data Analysis, Educational Research, Foreign Countries
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Willis, James E.; Slade, Sharon; Prinsloo, Paul – Educational Technology Research and Development, 2016
The growth of learning analytics as a means to improve student learning outcomes means that student data is being collected, analyzed, and applied in previously unforeseen ways. As the use of this data continues to shape academic and support interventions, there is increasing need for ethical reflection on "operational" approvals for…
Descriptors: Data Collection, Data Analysis, Educational Research, Ethics
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West, Deborah; Huijser, Henk; Heath, David – Educational Technology Research and Development, 2016
As learning analytics activity has increased, a variety of ethical implications and considerations have emerged, though a significant research gap remains in explicitly investigating the views of key stakeholders, such as academic staff. This paper draws on ethics-related findings from an Australian study featuring two surveys, one of…
Descriptors: Data Collection, Data Analysis, Educational Research, Ethics
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Joo, Young Ju; Kim, Nari; Kim, Nam Hee – Educational Technology Research and Development, 2016
This study analyzed the relationships among factors predicting online university students' actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness,…
Descriptors: Foreign Countries, College Students, Integrated Learning Systems, Handheld Devices
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Ifenthaler, Dirk; Schumacher, Clara – Educational Technology Research and Development, 2016
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
Descriptors: Student Attitudes, Privacy, Data Collection, Data Analysis