{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:32:03Z","timestamp":1776889923573,"version":"3.51.2"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2016,9,22]],"date-time":"2016-09-22T00:00:00Z","timestamp":1474502400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,9,22]],"date-time":"2016-09-22T00:00:00Z","timestamp":1474502400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Science Foundation","award":["IIS-0905220"],"award-info":[{"award-number":["IIS-0905220"]}]},{"name":"National Science Foundation","award":["OCI-1048018"],"award-info":[{"award-number":["OCI-1048018"]}]},{"name":"National Science Foundation","award":["CNS-1162405"],"award-info":[{"award-number":["CNS-1162405"]}]},{"name":"National Science Foundation","award":["IIS-1247632"],"award-info":[{"award-number":["IIS-1247632"]}]},{"name":"National Science Foundation","award":["IIP-1414153"],"award-info":[{"award-number":["IIP-1414153"]}]},{"name":"National Science Foundation","award":["IIS- 1447788"],"award-info":[{"award-number":["IIS- 1447788"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1007\/s41060-016-0024-z","type":"journal-article","created":{"date-parts":[[2016,9,22]],"date-time":"2016-09-22T23:16:44Z","timestamp":1474586204000},"page":"159-171","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":66,"title":["Grade prediction with models specific to students and courses"],"prefix":"10.1007","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8630-7131","authenticated-orcid":false,"given":"Agoritsa","family":"Polyzou","sequence":"first","affiliation":[]},{"given":"George","family":"Karypis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,22]]},"reference":[{"issue":"7","key":"24_CR1","doi-asserted-by":"publisher","first-page":"528","DOI":"10.7763\/IJIET.2016.V6.745","volume":"6","author":"MA Al-Barrak","year":"2016","unstructured":"Al-Barrak, M.A., Al-Razgan, M.: Predicting students final gpa using decision trees: a case study. Int. J. Inf. Educ. Technol. 6(7), 528 (2016)","journal-title":"Int. J. Inf. Educ. Technol."},{"key":"24_CR2","doi-asserted-by":"crossref","unstructured":"Arnold, K.E., Pistilli, M.D.: Course signals at purdue: using learning analytics to increase student success. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. pp. 267\u2013270. ACM, (2012)","DOI":"10.1145\/2330601.2330666"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Beck, J.E., Woolf, B.P.: High-level student modeling with machine learning. In: International Conference on Intelligent Tutoring Systems. pp. 584\u2013593. Springer, (2000)","DOI":"10.1007\/3-540-45108-0_62"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Byd\u017eovsk\u00e1, H.: Are collaborative filtering methods suitable for student performance prediction? In: Progress in Artificial Intelligence, pp. 425\u2013430. Springer, (2015)","DOI":"10.1007\/978-3-319-23485-4_42"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Cen, H., Koedinger, K., Junker, B.: Learning factors analysis\u2013a general method for cognitive model evaluation and improvement. In: Intelligent tutoring systems. pp. 164\u2013175. Springer, (2006)","DOI":"10.1007\/11774303_17"},{"key":"24_CR6","unstructured":"Chen, Y., Bhojanapalli, S., Sanghavi, S., Ward, R.: Coherent matrix completion. arXiv preprint \n                    arXiv:1306.2979\n                    \n                   (2013)"},{"key":"24_CR7","unstructured":"Denley, T.: Course recommendation system and method. \n                    http:\/\/www.google.com\/patents\/US20130011821\n                    \n                  . Online; Accessed 4 Oct 2015"},{"key":"24_CR8","unstructured":"Denley, T.: Austin peay state university: Degree compass. EDUCAUSE Review Online. Available: \n                    http:\/\/www.educause.edu\/ero\/article\/austin-peay-state-university-degree-compass\n                    \n                  . (2012)"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Elbadrawy, A., Studham, R.S., Karypis, G.: Collaborative multi-regression models for predicting students\u2019 performance in course activities. In: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge. pp. 103\u2013107. ACM, (2015)","DOI":"10.1145\/2723576.2723590"},{"key":"24_CR10","unstructured":"Feng, M., Heffernan, N.T., Koedinger, K.R.: Looking for sources of error in predicting student\u2019s knowledge. In: Educational Data Mining: Papers from the 2005 AAAI Workshop. pp. 54\u201361 (2005)"},{"issue":"3","key":"24_CR11","first-page":"245","volume":"42","author":"CS Hwang","year":"2015","unstructured":"Hwang, C.S., Su, Y.C.: Unified clustering locality preserving matrix factorization for student performance prediction. IAENG Int. J. Comput. Sci. 42(3), 245 (2015)","journal-title":"IAENG Int. J. Comput. Sci."},{"key":"24_CR12","volume-title":"Recommender Systems Handbook","author":"PB Kantor","year":"2011","unstructured":"Kantor, P.B., Rokach, L., Ricci, F., Shapira, B.: Recommender Systems Handbook. Springer, Berlin (2011)"},{"key":"24_CR13","unstructured":"Luo, J., Sorour, E., Goda, K., Mine, T.: Predicting student grade based on free-style comments using word2vec and ann by considering prediction results obtained in consecutive lessons. In: Proceedings of the 8th International Conference on Educational Data Mining pp. 396\u2013399 (June 2015)"},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"McKay, T., Miller, K., Tritz, J.: What to do with actionable intelligence: E 2 coach as an intervention engine. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. pp. 88\u201391. ACM, (2012)","DOI":"10.1145\/2330601.2330627"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Minaei-Bidgoli, B., Punch, W.F.: Using genetic algorithms for data mining optimization in an educational web-based system. In: Genetic and Evolutionary Computation Conference. pp. 2252\u20132263. Springer, (2003)","DOI":"10.1007\/3-540-45110-2_119"},{"key":"24_CR16","unstructured":"Ogunde, A., Ajibade, D.: A data mining system for predicting university students? graduation grades using id3 decision tree algorithm. J. Comput. Sci. Inf. Technol. 2(1), 21\u201346 (2014)"},{"key":"24_CR17","unstructured":"Osmanbegovi\u0107, E., Sulji\u0107, M.: Data mining approach for predicting student performance. Econ. Rev. 10(1), 3\u201312 (2012)"},{"key":"24_CR18","unstructured":"Pardos, Z.A., Heffernan, N.T.: Using hmms and bagged decision trees to leverage rich features of user and skill from an intelligent tutoring system dataset. J. Mach. Learn. Res. W & CP (2010)"},{"key":"24_CR19","unstructured":"Ray, S., Sharma, A.: A collaborative filtering based approach for recommending elective courses. In: International Conference on Information Intelligence, Systems, Technology and Management. pp. 330\u2013339. Springer, (2011)"},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1016\/j.compedu.2013.06.009","volume":"68","author":"C Romero","year":"2013","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)","journal-title":"Comput. Educ."},{"key":"24_CR21","unstructured":"Romero, C., Ventura, S., Espejo, P.G., Herv\u00e1s, C.: Data mining algorithms to classify students. In: Educational Data Mining 2008 (2008)"},{"issue":"1","key":"24_CR22","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1016\/j.compedu.2007.05.016","volume":"51","author":"C Romero","year":"2008","unstructured":"Romero, C., Ventura, S., Garc\u00eda, E.: Data mining in course management systems: Moodle case study and tutorial. Comput. Educ. 51(1), 368\u2013384 (2008)","journal-title":"Comput. Educ."},{"issue":"2","key":"24_CR23","first-page":"192","volume":"23","author":"SE Sorour","year":"2015","unstructured":"Sorour, S.E., Mine, T., Goda, K., Hirokawa, S.: A predictive model to evaluate student performance. J. Inf. Process. 23(2), 192\u2013201 (2015)","journal-title":"J. Inf. Process."},{"key":"24_CR24","unstructured":"Starfish: Earlyalert. \n                    http:\/\/www.starfishsolutions.com\/home\/student-success-solutions\/\n                    \n                  . Online; Accessed 4 Oct 2015"},{"key":"24_CR25","doi-asserted-by":"crossref","unstructured":"Sweeney, M., Lester, J., Rangwala, H.: Next-term student grade prediction. In: Big Data (Big Data), 2015 IEEE International Conference on. pp. 970\u2013975. IEEE (2015)","DOI":"10.1109\/BigData.2015.7363847"},{"key":"24_CR26","doi-asserted-by":"crossref","unstructured":"Sweeney, M., Rangwala, H., Lester, J., Johri, A.: Next-term student performance prediction: A recommender systems approach. arXiv preprint \n                    arXiv:1604.01840\n                    \n                   (2016)","DOI":"10.1109\/BigData.2015.7363847"},{"key":"24_CR27","unstructured":"Thai-Nghe, N., Drumond, L., Horv\u00e1th, T., Schmidt-Thieme, L.: Using factorization machines for student modeling. In: UMAP Workshops (2012)"},{"issue":"2","key":"24_CR28","doi-asserted-by":"publisher","first-page":"2811","DOI":"10.1016\/j.procs.2010.08.006","volume":"1","author":"N Thai-Nghe","year":"2010","unstructured":"Thai-Nghe, N., Drumond, L., Krohn-Grimberghe, A., Schmidt-Thieme, L.: Recommender system for predicting student performance. Proc. Comput. Sci. 1(2), 2811\u20132819 (2010)","journal-title":"Proc. Comput. Sci."},{"key":"24_CR29","doi-asserted-by":"crossref","unstructured":"Thai-Nghe, N., Horv\u00e1th, T., Schmidt-Thieme, L.: Factorization models for forecasting student performance. In: Educational Data Mining 2011 (2010)","DOI":"10.1109\/ICALT.2011.130"},{"key":"24_CR30","unstructured":"Toscher, A., Jahrer, M.: Collaborative filtering applied to educational data mining. KDD cup (2010)"}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-016-0024-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41060-016-0024-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-016-0024-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T00:28:44Z","timestamp":1589675324000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41060-016-0024-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,22]]},"references-count":30,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["24"],"URL":"https:\/\/doi.org\/10.1007\/s41060-016-0024-z","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"value":"2364-415X","type":"print"},{"value":"2364-4168","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,22]]},"assertion":[{"value":"20 July 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 September 2016","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 September 2016","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}