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Blended learning in postgraduate applied statistics programs

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conference contribution
posted on 2024-07-09, 23:50 authored by Jahar BhowmikJahar Bhowmik, Denny MeyerDenny Meyer, Brian Phillips
The term blended learning refers to an approach to curriculum development where some form of an online learning environment supports and enhances the traditional on-campus or face-to-face experience in an integrated manner (Oliver & Trigwell, 2005). Postgraduate applied statistics programs at Swinburne University of Technology adopted the blended learning almost a decade ago. This allows for flexibility in design approaches, and accommodates the range of blended learning capabilities and experience of teachers and learners. Blended learning design adopted in these programs has involved the thoughtful integration of learning and teaching approaches in both on-campus, face-to-face and online / virtual learning environments by utilising the benefits of each of these environments to enhance the student learning experience. These programs focus on designing learning interactions across formal teaching spaces, informal learning spaces and online learning and teaching spaces. This flexible approach has been well accepted among both online and on-campus students. This paper describes the blended structure adopted in the applied statistics programs at Swinburne and the feedback received from students during recent study periods.

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PDF (Published version)

ISBN

9780980595024

Journal title

Proceedings of the 9th Australian Conference on Teaching Statistics (OZCOTS 2016) (Satellite to ASC 2016 Australian Statistical Conference), Canberra, Australia, 8-9 December 2016)

Conference name

Australian Conference on Teaching Statistics (OZCOTS 2016)

Location

Canberra

Start date

2016-12-08

End date

2016-12-09

Pagination

5 pp

Publisher

Statistical Society of Australia Inc.

Copyright statement

Copyright © 2016 the authors. The published version is reproduced here in good faith. Every reasonable effort has been made to trace the copyright owner. For more information please contact researchbank@swin.edu.au.

Language

eng

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