Abstract
The field of Learning Analytics has proven to provide various solutions to online educational environments. Massive Open Online Courses (MOOCs) are considered as one of the most emerging online environments. Its substantial growth attracts researchers from the analytics field to examine the rich repositories of data they provide. The present paper contributes with a brief literature review in both prominent fields. Further, the authors overview their developed Learning Analytics application and show the potential of Learning Analytics in tracking students of MOOCs using empirical data from iMooX.
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Alario-Hoyos, C., Muñoz-Merino, P.J., Pérez-SanagustÃn, M., Delgado Kloos, C., Parada, G.H.A.: Who are the top contributors in a MOOC? Relating participants’ performance and contributions. J. Comput. Assist. Learn. 32(3), 232–243 (2016)
Baker, R.S., Siemens, G.: Educational Data Mining and Learning Analytics (2016).http://www.columbia.edu/~rsb2162/BakerSiemensHandbook2013.pdf. Accessed 20 Apr 2016
Chatti, M., Dyckhoff, A., Schroeder, U., Thüs, H.: A reference model for learning analytics. Int. J. Technol. Enhanced Learn. 4(5/6), 318–331 (2012)
Clow, D.: MOOCs and the funnel of participation. In: The Third International Conference on Learning Analytics and Knowledge (LAK 2013), Leuven, Belgium, pp. 185–189. ACM (2013)
Clow, D.: The learning analytics cycle: closing the loop effectively. In: The 2nd International Conference on Learning Analytics and Knowledge (LAK 2012), Vancouver, Canada, pp. 134–138. ACM (2012)
Duval, E.: Attention please!: Learning analytics for visualization and recommendation. In: The 1st International Conference on Learning Analytics and Knowledge (LAK 11), Alberta, Canada, pp. 9–17. ACM (2011)
Ebner, M., Schön, S., Kumar, S.: Guidelines for leveraging university didactics centers to support OER uptake in German-speaking Europe. Educ. Policy Anal. Arch. 24, 39 (2016)
Graf, S., Ives, C., Rahman, N., Ferri, A.: AAT: a tool for accessing and analysing students’ behaviour data in learning systems. In: The 1st International Conference on Learning Analytics and Knowledge (LAK 2011), Alberta, Canada, pp. 174–179. ACM (2011)
Greller, W., Drachsler, H.: Translating learning into numbers: a generic framework for learning analytics. Educ. Technol. Soc. 15(3), 42–57 (2012)
Hollands, F.M., Tirthali, D.: MOOCs: Expectations and reality. Full report. Center for Benefit-Cost Studies of Education, Teachers College, Columbia University, NY (2014). http://cbcse.org/wordpress/wp-content/uploads/2014/05/MOOCs_Expectations_and_Reality.pdf. Accessed 19 April 2016
Jordan, K.: MOOC completion rates: the data (2013). http://www.katyjordan.com/MOOCproject.html. Accessed: 12 April 2016
Khalil, H., Ebner, M.: MOOCs completion rates and possible methods to improve retention - a literature review. In: Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2014, pp. 1236–1244. Chesapeake, VA: AACE (2014)
Khalil, M., Ebner, M.: A STEM MOOC for school children—what does learning analytics tell us? In: The 2015 International Conference on Interactive Collaborative Learning (ICL 2015), Florence, Italy, pp. 1217–1221. IEEE (2015)
Khalil, M., Ebner, M.: Learning analytics: principles and constraints. In: Carliner, S., Fulford, C., Ostashewski, N. (eds.) Proceedings of EdMedia: World Conference on Educational Media and Technology 2015, pp. 1789–1799. AACE, Chesapeake (2015)
Khalil, M., Ebner, M.: What is learning analytics about? A survey of different methods Used in 2013–2015. In: The Smart Learning Conference, Dubai, UAE, pp. 294–304. Dubai: HBMSU Publishing House (2016)
Khalil, M., Ebner, M.: What massive open online course (MOOC) stakeholders can learn from learning analytics? In: Spector, M., Lockee, B., Childress, M. (eds.) Learning, Design, and Technology: An International Compendium of Theory, Research, Practice, and Policy, pp. 1–30. Springer, Heildelberg (2016). http://dx.doi.org/10.1007/978-3-319-17727-4_3-1
Khalil, M., Kastl, C., Ebner, M.: Portraying MOOCs learners: a clustering experience using learning analytics. In: The European Stakeholder Summit on experiences and best practices in and around MOOCs (EMOOCS 2016), Graz, Austria, pp. 265–278 (2016)
Kizilcec, R.F., Piech, C., Schneider, E.: Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In: The Third International Conference on Learning Analytics and Knowledge (LAK 2013), Leuven, Belgium, pp. 170–179. ACM (2013)
Knox, J.: From MOOCs to learning analytics: scratching the surface of the ‘visual’. eLearn. 2014(11) (2014). ACM
Kopp, M., Ebner, M.: iMooX - Publikationen rund um das Pionierprojekt. Verlag Mayer, Weinitzen (2015)
Lackner, E., Ebner, M., Khalil, M.: MOOCs as granular systems: design patterns to foster participant activity. eLearning Pap. 42, 28–37 (2015)
Lackner, E., Khalil, M., Ebner, M.: How to foster forum discussions within MOOCs: A case study. Int. J. Acad. Res. Educ. (in press)
McAulay, A., Tewart, B., Siemens, G.: The MOOC model for digital practice. Charlottetown: University of Prince Edward Island (2010). http://www.elearnspace.org/Articles/MOOC_Final.pdf
Moissa, B., Gasparini, I., Kemczinski, A.: A systematic mapping on the learning analytics field and its analysis in the massive open online courses context. Int. J. Distance Educ. Technol. 13(3), 1–24 (2015)
Online Course Report.: State of the MOOC 2016: A Year of Massive Landscape Change For Massive Open Online Courses (2016). http://www.onlinecoursereport.com/state-of-the-mooc-2016-a-year-of-massive-landscape-change-for-massive-open-online-courses/. Accessed 18 April 2016
Papamitsiou, Z., Economides, A.A.: Learning analytics for smart learning environments: a meta-analysis of empirical research results from 2009 to 2015. In: Spector, M.J., Lockee, B.B., Childress, M.D. (eds.) Learning, Design, and Technology, pp. 1–23. Springer, Cham (2016)
Siemens, G.: A learning theory for the digital age. Instr. Technol. Distance Educ. 2(1), 3–10 (2005)
Tseng, S.F., Tsao, Y.W., Yu, L.C., Chan, C.L., Lai, K.R.: Who will pass? Analyzing learner behaviors in MOOCs. Res. Pract. Technol. Enhanced Learn. 11(1), 1–11 (2016)
Veletsianos, G., Shepherdson, P.: A systematic analysis and synthesis of the empirical MOOC literature published in 2013–2015. Int. Rev. Res. Open Distrib. Learn., 17(2) (2016)
Wachtler, J., Khalil, M., Taraghi, B., Ebner, M.: On using learning analytics to track the activity of interactive MOOC videos. In: Proceedings of the LAK 2016 Workshop on Smart Environments and Analytics in Video-Based Learning, Edinburgh, Scotland, pp. 8–17. CEUR (2016)
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Khalil, M., Ebner, M. (2016). When Learning Analytics Meets MOOCs - a Review on iMooX Case Studies. In: Fahrnberger, G., Eichler, G., Erfurth, C. (eds) Innovations for Community Services. I4CS 2016. Communications in Computer and Information Science, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-49466-1_1
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DOI: https://doi.org/10.1007/978-3-319-49466-1_1
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