Leading Online Education for Student Success

in International Journal of Chinese Education
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Online education has grown exponentially over the last few decades, churning through a swarm of acronyms, ambiguities and potentialities. Substantial energy has been invested in producing technology, building academic capability, and understanding learners and markets. Though it feels pervasive, online education is comparatively new in the scheme of higher education, and key education and business models remain in formation. To spur advance, this paper argues that as online education matures increasing energy must shift from supplier-centric concerns about provision to instead ensuring learner value and success. We argue that online education presents new opportunities not just for the mechanics of higher education, but for improving each student’s experience and outcomes. Central to such advance is a clear picture of student success, cogent perspectives for understanding students, effective strategies for analysing and interpreting huge volumes of data, and more evidence-based academic leadership. The paper investigates each of these areas, provoking an agenda to guide further student and institutional achievement.

Leading Online Education for Student Success

in International Journal of Chinese Education

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References

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1

Hamish CoatesStudent Engagement in Campus-based and Online Education: University Connections (London: Taylor and Francis2006).

2

Hamish Coates et al.Innovative Approaches for Enhancing the 21st Century Student Experience (Canberra: Department of Education and Training2017).

6

Alan J. Sturtz“The Multiple Dimensions of Student Swirl,” Journal of Applied Research in the Community College 13 (2008): 151-58.

9

Gregory A. Jackson“IT-based Transformation in Higher Education: Possibilities and Prospects,” EDUCAUSE Reviewaccessed January 11 2015 https://net.educause.edu/ir/library/pdf/IT-HE.pdf.

10

Anthony G. Picciano“The Evolution of Big Data and Learning Analytics in American Higher Education,” Journal of Asynchronous Learning Networks 16 no. 3 (2012): 9-20.

11

Philip J. Goldstein and Richard N. Katz“Academic Analytics: The Uses of Management Information and Technology in Higher Education,” EDUCAUSE Review 8 (2005) accessed January 11 2015 www.educause.edu/ers0508.

13

Phil Long and George Siemens“Penetrating the Fog: Analytics in Learning and Education,” EDUCAUSE Review 46 (2011): 31-40.

15

Phil Long and George Siemens“Penetrating the Fog” 31-40.

17

Jacqueline Bichsel“Analytics in Higher Education: Benefits, Barriers, Progress, and Recommendations,” EDUCAUSE Review (August 2012) accessed January 11 2015 www.educause.edu/ecar.

19

Hamish Coates“Students’ Early Departure Intention and the Mitigating Role of Support,” Australian Universities Review 56 no. 2 (2014): 20-29.

21

Hamish Coates and Leo Goedegebuure“Recasting the Academic Workforce: Why the Attractiveness of the Academic Profession Needs to be Increased and Eight Possible Strategies for How to Go About this from an Australian Perspective,” Higher Education 64 no. 6 (2012): 875-889.

22

Hamish Coates et al.Innovative Approaches2017.

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