论文信息 - Learning Analytics: Readiness and Rewards

Learning Analytics: Readiness and Rewards

This position paper introduces the relatively new field of learning analytics, first by considering the relevant meanings of both “learning” and “analytics,” and then by looking at two main levels at which learning analytics can be or has been implemented in educational organizations. Although integrated turnkey systems or modules are not yet available for review, specific technologies for analyzing online student activities have been implemented and piloted. As a result, this paper concludes by advising an incremental approach to institutional preparedness.

Norm Friesen

[1] Erik Duval,et al. Dataset-Driven Research to Support Learning and Knowledge Analytics , 2012, J. Educ. Technol. Soc..

[2] Steven K. Van Dyke. Dimensions of Quality , 1994 .

[3] D. Randy Garrison,et al. Blended Learning in Higher Education: Framework, Priciples and Guidlines , 2007 .

[4] Marie Bienkowski,et al. Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief , 2012 .

[5] Learning Analytics: Moving from Concept to Practice , 2012 .

[6] Alva Noë,et al. Out of Our Heads: Why You Are Not Your Brain, and Other Lessons from the Biology of Consciousness , 2009 .

[7] Andrew S. Gibbons,et al. Computer-Based Instruction: Design and Development , 1998 .

[8] John P. Campbell,et al. Analytics in Higher Education: Establishing a Common Language , 2012 .

[9] Shane Dawson,et al. Numbers Are Not Enough. Why e-Learning Analytics Failed to Inform an Institutional Strategic Plan , 2012, J. Educ. Technol. Soc..

[10] Larry Johnson,et al. The NMC Horizon Report: 2012 Higher Education Edition. , 2012 .

[11] A. Chickering,et al. Seven Principles for Good Practice in Undergraduate Education , 1987, CORE.