10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Contributed paper list

Contributed Paper C235

In session C6B  (Tuesday 10th, 16:00-17:30,   Level 3 - Conference Room A)

Blended Learning in Higher Education: A Case Study in Postgraduate Applied Statistics Programs


Jahar Bhowmik (Swinburne University of Technology, Melbourne, Australia)
Brian Phillips (Swinburne University of Technology, Melbourne, Australia)
Denny Meyer (Swinburne University of Technology, Melbourne, Australia)


Jahar Bhowmik (Australia)


Blended learning describes the way e-learning is combined with traditional classroom methods and independent study to create a hybrid teaching methodology for accommodating an increasingly diverse student population. Swinburne’s postgraduate Applied Statistics programs adopted the blended learning approach more than a decade ago for a mixed cohort of students. The learning design uses the thoughtful integration of learning and teaching approaches in 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 facilitate learning interactions across formal, informal and online learning and teaching spaces. This flexible approach has been well accepted among both online and on-campus students, which is verified by the feedback received from students during recent study periods.

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