{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T02:32:43Z","timestamp":1778812363048,"version":"3.51.4"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319686110","type":"print"},{"value":"9783319686127","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68612-7_26","type":"book-chapter","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T07:31:17Z","timestamp":1508830277000},"page":"224-232","source":"Crossref","is-referenced-by-count":6,"title":["Analysing Event Transitions to Discover Student Roles and Predict Grades in MOOCs"],"prefix":"10.1007","author":[{"given":"\u00c1ngel","family":"P\u00e9rez-Lemonche","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gonzalo","family":"Mart\u00ednez-Mu\u00f1oz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Estrella","family":"Pulido-Ca\u00f1abate","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,25]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Ashenafi, M.M., Riccardi, G., Ronchetti, M.: Predicting students\u2019 final exam scores from their course activities. In: 2015 IEEE Frontiers in Education Conference (FIE), pp. 1\u20139 (2015)","DOI":"10.1109\/FIE.2015.7344081"},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-1-4614-3305-7_4","volume-title":"Learning Analytics","author":"RS Baker","year":"2014","unstructured":"Baker, R.S., Inventado, P.S.: Educational data mining and learning analytics. In: Larusson, J.A., White, B. (eds.) Learning Analytics, pp. 61\u201375. Springer, New York (2014). doi: 10.1007\/978-1-4614-3305-7_4"},{"issue":"1","key":"26_CR3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"26_CR4","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/978-3-319-47364-2_66","volume-title":"International Joint Conference SOCO\u201916-CISIS\u201916-ICEUTE\u201916","author":"P Ducange","year":"2017","unstructured":"Ducange, P., Pecori, R., Sarti, L., Vecchio, M.: Educational big data mining: how to enhance virtual learning environments. In: Gra\u00f1a, M., L\u00f3pez-Guede, J.M., Etxaniz, O., Herrero, \u00c1., Quinti\u00e1n, H., Corchado, E. (eds.) ICEUTE\/SOCO\/CISIS -2016. AISC, vol. 527, pp. 681\u2013690. Springer, Cham (2017). doi: 10.1007\/978-3-319-47364-2_66"},{"key":"26_CR5","unstructured":"Elias, T.: Learning Analytics: The Definitions, the Processes, and the Potential (2011)"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Ezen-Can, A., Boyer, K.E., Kellogg, S., Booth, S.: Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach. In: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, LAK 2015, pp. 146\u2013150. ACM (2015)","DOI":"10.1145\/2723576.2723589"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Ferguson, R., Clow, D.: Examining engagement: analysing learner subpopulations in massive open online courses (MOOCs). In: Proceedings of the Fifth International Conference on Learning Analytics and Knowledge, LAK 2015, pp. 51\u201358. ACM (2015)","DOI":"10.1145\/2723576.2723606"},{"key":"26_CR8","unstructured":"Jiang, S., Williams, A., Schenke, K., Warschauer, M., O\u2019dowd, D.: Predicting MOOC performance with week 1 behavior. In: Educational Data Mining 2014 (2014)"},{"key":"26_CR9","unstructured":"Lefevre, M., Guin, N., Marty, J.C., Clerc, F.: Personalization of MOOCs (2016)"},{"key":"26_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-319-46227-1_4","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"M Revelle","year":"2016","unstructured":"Revelle, M., Domeniconi, C., Johri, A.: Persistent roles in online social networks. In: Frasconi, P., Landwehr, N., Manco, G., Vreeken, J. (eds.) ECML PKDD 2016. LNCS, vol. 9852, pp. 47\u201362. Springer, Cham (2016). doi: 10.1007\/978-3-319-46227-1_4"},{"issue":"1","key":"26_CR11","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s41039-016-0033-5","volume":"11","author":"SF Tseng","year":"2016","unstructured":"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), 8 (2016)","journal-title":"Res. Pract. Technol. Enhanced Learn."},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Xu, B., Yang, D.: Motivation classification and grade prediction for MOOCs learners. In: Computational Intelligence and Neuroscience 2016 (2016)","DOI":"10.1155\/2016\/2174613"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68612-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T22:40:01Z","timestamp":1570228801000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68612-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319686110","9783319686127"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68612-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}