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Warschauer, \"Social Positioning and Performance in MOOCs,\" inProceedings of the Workshops held at Educational Data Mining 2014, co-located with 7th International Conference on Educational Data Mining (EDM 2014), London, United Kingdom, 2014, vol. 1183, p. 14."},{"key":"key-10.1145\/2883851.2883928-15","doi-asserted-by":"crossref","unstructured":"D. Gašević, S. Dawson, T. Rogers, and D. Gašević, \"Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success,\"Internet High. Educ., vol. 28, pp. 68--84, 2016.","DOI":"10.1016\/j.iheduc.2015.10.002"},{"key":"key-10.1145\/2883851.2883928-16","unstructured":"D. Krackhardt, \"The Ties that Torture: Simmelian Tie Analysis in Organizations,\"Res. Sociol. Organ., vol. 16, pp. 183--210, 1999."},{"key":"key-10.1145\/2883851.2883928-17","doi-asserted-by":"crossref","unstructured":"D. Gašević, V. Kovanović, S. Joksimović, and G. 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