Are Higher Education Institutions Prepared for Learning Analytics?
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Higher education institutions and involved stakeholders can derive multiple benefits from learning analytics by using different data analytics strategies to produce summative, real-time, and predictive insights and recommendations. However, are institutions and academic as well as administrative staff prepared for learning analytics? A learning analytics benefits matrix was used for this study to investigate the current capabilities of learning analytics at higher education institutions, explore the importance of data sources for a valid learning analytics framework, and gain an understanding of how important insights from learning analytics are perceived. The findings reveal that there is a lack of staff and technology available for learning analytics projects. We conclude that it will be necessary to conduct more empirical research on the validity of learning analytics frameworks and on expected benefits for learning and instruction to confirm the high hopes this promising emerging technology raises.
KeywordsLearning analytics Higher education Benefits matrix Change management
- Berland, M., Baker, R. S. J. d., & Bilkstein, P. (2014). Educational data mining and learning analytics: applications to constructionist research. Technology, Knowledge and Learning, 19(1–2), 205–220. doi: 10.1007/s10758-014-9223-7.
- Bolman, L. G., & Deal, T. E. (2008). Reframing organizations: Artistry, choice, and leadership. San Fransico: Jossey-Bass.Google Scholar
- d’Aquin, M., Dietze, S., Herder, E., Drachsler, H., & Taibi, D. (2014). Using linked data in learning analytics. eLearning Papers, 36, 1–9.Google Scholar
- Gibson, D. C., & Ifenthaler, D. (2016). Preparing the next generation of education researchers for big data in higher education. In B. Kei Daniel (Ed.), Big data and learning analytics: Current theory and practice in higher education. New York: Springer.Google Scholar
- Greller, W., & Drachsler, H. (2012). Translating learning into numbers: a generic framework for learning analytics. Educational Technology & Society, 15(3), 42–57.Google Scholar
- Ifenthaler, D. (2015). Learning analytics. In J. M. Spector (Ed.), The SAGE encyclopedia of educational technology (Vol. 2, pp. 447–451). Thousand Oaks: Sage.Google Scholar
- Ifenthaler, D., & Schumacher, C. (2016). Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64(5), 923–938. doi: 10.1007/s11423-016-9477-y.
- Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC horizon report: 2014 higher education edition. Austin: The New Media Consortium.Google Scholar
- Locke, W., Cummings, W. K., & Fisher, D. (Eds.). (2011). Changing governance and management in higher education. Dordrecht: Springer.Google Scholar
- Long, P. D., & Siemens, G. (2011). Penetrating the fog: analytics in learning and education. EDUCAUSE Review, 46(5), 31–40.Google Scholar
- Solove, D. J. (2004). The digital person: Technology and privacy in the information age. New York: New York University Press.Google Scholar