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Online students : relationships between participation, demographics and academic performance

Coldwell, Jo, Craig, Annemieke, Paterson, T. and Mustard, Jamie 2008, Online students : relationships between participation, demographics and academic performance, Electronic journal of e-learning, vol. 6, no. 1, pp. 19-30.

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Title Online students : relationships between participation, demographics and academic performance
Author(s) Coldwell, Jo
Craig, Annemieke
Paterson, T.
Mustard, Jamie
Journal name Electronic journal of e-learning
Volume number 6
Issue number 1
Start page 19
End page 30
Publisher Management Centre International
Place of publication Reading, England
Publication date 2008
ISSN 1479-4403
Keyword(s) culture
diversity
online learning
participation
Summary Using information technology to support teaching and learning is becoming ubiquitous in tertiary education. However, how students participate and perform when a major component of the learning experience is conducted via an online learning environment is still an open question. The objective of this study was to investigate whether any relationships existed between the participation, demographics and academic performance of students in an information technology course that was taught wholly online. Tracking data generated by the online learning environment was collected throughout the semester. Through a detailed analysis of this tracking data it was found that a relationship existed between students' participation in the online learning environment and their performance, as measured by final results in the course. Relationships also existed between gender, nationality, participation and performance. However, there was no relationship between age and performance and participation. These findings suggest that when designing online learning for a diverse population, student demographics should be taken into account to maximise the benefits of the learning experience. The results also suggest that the tracking data can be used as an early indicator of students who are likely to fail the course since lack of participation early in the semester is indicative of lower outcomes in the course. Being able to identify such students allows staff to take remedial action proactively rather than reactively in the latter part of the semester.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
HERDC Research category C3 Non-refereed articles in a professional journal
ERA Research output type C Journal article
Copyright notice ©2008, Academic Conferences
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017242

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.