{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T02:10:07Z","timestamp":1750471807176,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319615653"},{"type":"electronic","value":"9783319615660"}],"license":[{"start":{"date-parts":[[2017,7,5]],"date-time":"2017-07-05T00:00:00Z","timestamp":1499212800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-61566-0_26","type":"book-chapter","created":{"date-parts":[[2017,7,4]],"date-time":"2017-07-04T02:36:53Z","timestamp":1499135813000},"page":"274-286","source":"Crossref","is-referenced-by-count":1,"title":["On the Design of a System to Predict Student\u2019s Success"],"prefix":"10.1007","author":[{"given":"David","family":"Ba\u00f1eres","sequence":"first","affiliation":[]},{"given":"Montse","family":"Serra","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,5]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Baneres, D.: Towards a particular prediction system to evaluate student\u2019s success. In: Proceedings of the 11th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 935\u2013945 (2016)","DOI":"10.1007\/978-3-319-49109-7_91"},{"key":"26_CR2","volume-title":"Cambridge Handbook of the Learning Sciences","author":"R Baker","year":"2014","unstructured":"Baker, R., Siemens, G.: Educational data mining and learning analytics. In: Sawyer, R.K. (ed.) Cambridge Handbook of the Learning Sciences. Cambridge University Press, Cambridge (2014)"},{"issue":"4","key":"26_CR3","first-page":"42","volume":"42","author":"J Campbell","year":"2007","unstructured":"Campbell, J., De Blois, P.B., Oblinger, D.G.: Academic anal\u00edtics. A new tool for a new era. Educause Rev. 42(4), 42\u201357 (2007)","journal-title":"Educause Rev."},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Dawson, S., Ga\u0161evi\u0107, D., Siemens, G., Joksimovic, S.: Current state and future trends: a citation network analysis of the learning analytics field. In: Proceedings of the Fourth International Conference on Learning Analytics and Knowledge, pp. 231\u2013240. ACM, New York (2014)","DOI":"10.1145\/2567574.2567585"},{"issue":"3","key":"26_CR5","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.compedu.2009.03.013","volume":"53","author":"F Araque","year":"2009","unstructured":"Araque, F., Rold\u00e1n, C., Salguero, A.: Factors influencing university drop out rates. Comput. Educ. 53(3), 563\u2013574 (2009)","journal-title":"Comput. Educ."},{"key":"26_CR6","first-page":"1","volume":"15","author":"ZJ Kovacic","year":"2012","unstructured":"Kovacic, Z.J.: Predicting student success by mining enrolment data. Res. High. Educ. J. 15, 1\u201320 (2012)","journal-title":"Res. High. Educ. J."},{"key":"26_CR7","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.chb.2013.05.031","volume":"31","author":"\u00c1F Agudo-Peregrina","year":"2014","unstructured":"Agudo-Peregrina, \u00c1.F., Iglesias-Pradas, S., Conde-Gonz\u00e1lez, M.\u00c1., Hern\u00e1ndez-Garc\u00eda, \u00c1.: Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Comput. Hum. Behav. 31, 542\u2013550 (2014)","journal-title":"Comput. Hum. Behav."},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Romero, C., L\u00f3pez, M. -I., Luna, J. -M., Ventura, S.: Predicting students\u2019 final performance from participation in on-line discussion forums. Comput. Educ. 68, 458\u2013472 (2013). http:\/\/dx.doi.org\/10.1016\/j.compedu.2013.06.009","DOI":"10.1016\/j.compedu.2013.06.009"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Barber, R., Sharkey, M.: Course correction: using analytics to predict course success. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, pp. 259\u2013262. ACM, New York (2012)","DOI":"10.1145\/2330601.2330664"},{"issue":"1","key":"26_CR10","doi-asserted-by":"crossref","first-page":"6","DOI":"10.18608\/jla.2014.11.3","volume":"1","author":"SM Jayaprakash","year":"2014","unstructured":"Jayaprakash, S.M., Moody, E.W., Laur\u00eda, E.J.M., Regan, J.R., Baron, J.D.: Early alert of academically at-risk students: an open source analytics initiative. J. Learn. Anal. 1(1), 6\u201347 (2014)","journal-title":"J. Learn. Anal."},{"issue":"5","key":"26_CR11","first-page":"31","volume":"46","author":"G Siemens","year":"2011","unstructured":"Siemens, G., Long, P.D.: Penetrating the fog: analytics in learning and education. Educause Rev. 46(5), 31\u201340 (2011)","journal-title":"Educause Rev."},{"key":"26_CR12","unstructured":"D2L Degree Compass. https:\/\/www.d2l.com . Accessed 3 July 2017"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Steven, L., Stephanie D.: Student explorer: a tool for supporting academic advising at scale. In: Proceedings of the First ACM Conference on Learning @ Scale Conference, pp. 175\u2013176 (2014)","DOI":"10.1145\/2556325.2567867"},{"key":"26_CR14","unstructured":"Brightspace Student Success System. https:\/\/www.d2l.com\/products\/student-success-system\/ . Accessed 3 July 2017"},{"key":"26_CR15","unstructured":"Draft Standard for Learning Technology - Public and Private Information (PAPI) for Learners (PAPI Learner) - Core Features, IEEE P1484.2.1\/D8 (2001). http:\/\/metadata-standards.org\/Document-library\/Meeting-reports\/SC32WG2\/2002-05-Seoul\/WG2-SEL-042_SC36N0175_papi_learner_core_features.pdf . Accessed 3 July 2017"},{"key":"26_CR16","unstructured":"IMS Learner Information Packaging Information Model Specification, version 1.0 (2001). http:\/\/www.imsglobal.org\/profiles\/lipinfo01.html . Accessed 3 July 2017"},{"issue":"1","key":"26_CR17","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1145\/1656274.1656278","volume":"11","author":"M Hall","year":"2009","unstructured":"Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explor. Newslett. 11(1), 10\u201318 (2009)","journal-title":"SIGKDD Explor. Newslett."}],"container-title":["Advances in Intelligent Systems and Computing","Complex, Intelligent, and Software Intensive Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-61566-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T01:33:56Z","timestamp":1750469636000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-61566-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,5]]},"ISBN":["9783319615653","9783319615660"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-61566-0_26","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017,7,5]]}}}