{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T18:03:22Z","timestamp":1743357802486,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030804206"},{"type":"electronic","value":"9783030804213"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-80421-3_19","type":"book-chapter","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T19:03:04Z","timestamp":1625770984000},"page":"161-172","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Early Predictor for Student Success Based on Behavioural and Demographical Indicators"],"prefix":"10.1007","author":[{"given":"Efthyvoulos","family":"Drousiotis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Maskell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,9]]},"reference":[{"key":"19_CR1","unstructured":"By The Numbers: MOOCs in 2020 \u2014 Class Central. The Report by Class Central, 30 November 2020. https:\/\/www.classcentral.com\/report\/mooc-stats-2020\/. Accessed 04 Jan 2021"},{"key":"19_CR2","unstructured":"Study offers data to show MOOCs didn\u2019t achieve their goals | Inside Higher Ed. https:\/\/www.insidehighered.com\/digital-learning\/article\/2019\/01\/16\/study-offers-data-show-moocs-didnt-achieve-their-goals. Accessed 04 Jan 2021"},{"key":"19_CR3","doi-asserted-by":"publisher","unstructured":"Gomez-Zermeno, M.G.,Garza, L.A.D.L.: Research analysis on MOOC course dropout and retention rates (2016). https:\/\/doi.org\/10.17718\/tojde.23429","DOI":"10.17718\/tojde.23429"},{"key":"19_CR4","doi-asserted-by":"publisher","unstructured":"Dalipi, F., Imran, A.S., Kastrati, Z.: MOOC dropout prediction using machine learning techniques: review and research challenges. In: 2018 IEEE Global Engineering Education Conference (EDUCON), pp. 1007\u20131014, April 2018. https:\/\/doi.org\/10.1109\/educon.2018.8363340","DOI":"10.1109\/educon.2018.8363340"},{"key":"19_CR5","doi-asserted-by":"publisher","unstructured":"Borrella, I., Caballero-Caballero, S., Ponce-Cueto, E.: Predict and intervene: addressing the dropout problem in a MOOC-based program. In: Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale, Chicago, IL, USA, June 2019, pp. 1\u20139. https:\/\/doi.org\/10.1145\/3330430.3333634","DOI":"10.1145\/3330430.3333634"},{"key":"19_CR6","doi-asserted-by":"publisher","unstructured":"Kloft, M., Stiehler, F., Zheng, Z., Pinkwart, N.: Predicting MOOC dropout over weeks using machine learning methods. In: Proceedings of the EMNLP 2014 Workshop on Analysis of Large Scale Social Interaction in MOOCs, Doha, Qatar, October 2014, pp. 60\u201365. https:\/\/doi.org\/10.3115\/v1\/w14-4111","DOI":"10.3115\/v1\/w14-4111"},{"key":"19_CR7","doi-asserted-by":"publisher","unstructured":"Liang, J., Li, C., Zheng, L.: Machine learning application in MOOCs: dropout prediction. In: 2016 11th International Conference on Computer Science Education (ICCSE), August 2016, pp. 52\u201357. https:\/\/doi.org\/10.1109\/iccse.2016.7581554","DOI":"10.1109\/iccse.2016.7581554"},{"key":"19_CR8","doi-asserted-by":"publisher","unstructured":"Whitehill, J., Mohan, K., Seaton, D., Rosen, Y., Tingley, D.: MOOC dropout prediction: how to measure accuracy? In: Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale, Cambridge Massachusetts USA, April 2017, pp. 161\u2013164. https:\/\/doi.org\/10.1145\/3051457.3053974","DOI":"10.1145\/3051457.3053974"},{"key":"19_CR9","unstructured":"Cristea, A., Alamri, A., Stewart, C., Alshehri, M., Shi, L.: Earliest predictor of dropout in MOOCs: a longitudinal study of FutureLearn Courses Mizue Kayama, August 2018"},{"key":"19_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-030-22244-4_20","volume-title":"Intelligent Tutoring Systems","author":"A Alamri","year":"2019","unstructured":"Alamri, A., et al.: Predicting MOOCs dropout using only two easily obtainable features from the first week\u2019s activities. In: Coy, A., Hayashi, Y., Chang, M. (eds.) ITS 2019. LNCS, vol. 11528, pp. 163\u2013173. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22244-4_20"},{"key":"19_CR11","unstructured":"Wang, Y., Baker, R.: Content or platform: why do students complete MOOCs? 11(1), 14 (2015)"},{"key":"19_CR12","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10671-7","volume-title":"Learning Technology for Education in Cloud. MOOC and Big Data","year":"2014","unstructured":"Uden, L., Sinclair, J., Tao, Y.-H., Liberona, D. (eds.): LTEC 2014. CCIS, vol. 446. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10671-7"},{"key":"19_CR13","unstructured":"Baran, E., Siemens, Baker: Learning analytics and educational data mining: towards communication and collaboration. In: Learning Environments Design Reading Series"},{"key":"19_CR14","unstructured":"Learning analytics | Advance HE. https:\/\/www.advance-he.ac.uk\/knowledge-hub\/learning-analytics. Accessed 29 Mar 2021"},{"key":"19_CR15","unstructured":"Educationaldatamining.org. https:\/\/educationaldatamining.org\/. Accessed 29 Mar 2021"},{"key":"19_CR16","doi-asserted-by":"publisher","unstructured":"Li\u00f1\u00e1n, L.C., P\u00e9rez, \u00c1.A.J.: Mineria de dades educatives i an\u00e0lisi de dades de l\u2019aprenentatge: difer\u00e8ncies, semblances i evoluci\u00f3 en el temps. RUSC. Univ. Knowl. Soc. J. 12(3) (2015). Article no. 3. https:\/\/doi.org\/10.7238\/rusc.v12i3.2515","DOI":"10.7238\/rusc.v12i3.2515"},{"issue":"11","key":"19_CR17","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1038\/ijo.2015.116","volume":"39","author":"CD Madigan","year":"2015","unstructured":"Madigan, C.D., Daley, A.J., Kabir, E., Aveyard, P., Brown, W.: Cluster analysis of behavioural weight management strategies and associations with weight change in young women: a longitudinal analysis. Int. J. Obes. 39(11), 1601\u20131606 (2015). https:\/\/doi.org\/10.1038\/ijo.2015.116","journal-title":"Int. J. Obes."},{"key":"19_CR18","unstructured":"4 - Prediction.pdf. http:\/\/www.cs.stir.ac.uk\/courses\/ITNP60\/lectures\/1%20Data%20Mining\/4%20-%20Prediction.pdf. Accessed 29 Mar 2021"},{"key":"19_CR19","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/978-3-642-21512-4_12","volume-title":"Multimedia Communications, Services and Security","author":"Ioannis P Klapaftis","year":"2011","unstructured":"Klapaftis, Ioannis P., Pandey, S., Manandhar, S.: Graph-based relation mining. In: Dziech, A., Czy\u017cewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 100\u2013112. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-21512-4_12"},{"key":"19_CR20","doi-asserted-by":"publisher","unstructured":"Guo, P.J., Reinecke, K.: Demographic differences in how students navigate through MOOCs. In: Proceedings of the first ACM conference on Learning @ scale conference, New York, NY, USA, March 2014, pp. 21\u201330. https:\/\/doi.org\/10.1145\/2556325.2566247","DOI":"10.1145\/2556325.2566247"},{"key":"19_CR21","unstructured":"Shi, L., Cristea, A.: Demographic indicators influencing learning activities in MOOCs: learning analytics of FutureLearn Courses, August 2018"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Whitehill, J., Mohan, K., Seaton, D., Rosen, Y., Tingley, D.: Delving deeper into MOOC student dropout prediction. arXiv:1702.06404 [cs], February 2017. http:\/\/arxiv.org\/abs\/1702.06404. Accessed 28 Jan 2021","DOI":"10.1145\/3051457.3053974"},{"key":"19_CR23","doi-asserted-by":"publisher","unstructured":"Brinton, C.G., Chiang, M.: MOOC performance prediction via clickstream data and social learning networks. In: 2015 IEEE Conference on Computer Communications (INFOCOM), April 2015, pp. 2299\u20132307. https:\/\/doi.org\/10.1109\/infocom.2015.7218617","DOI":"10.1109\/infocom.2015.7218617"},{"key":"19_CR24","unstructured":"Liyanagunawardena, T.R., Williams, S.A.: Dropout: MOOC participants\u2019 perspective\u2019, p. 8"},{"key":"19_CR25","doi-asserted-by":"publisher","unstructured":"Bolboac\u0103, S.D., J\u00e4ntschi, L., Sestra\u015f, A.F., Sestra\u015f, R.E., Pamfil, D.C.: Pearson-Fisher chi-square statistic revisited. Information 2(3) (2011). Article no. 3. https:\/\/doi.org\/10.3390\/info2030528","DOI":"10.3390\/info2030528"},{"key":"19_CR26","unstructured":"1.10. Decision Trees \u2014 scikit-learn 0.24.1 documentation. https:\/\/scikit-learn.org\/stable\/modules\/tree.html. Accessed 29 Mar 2021"},{"key":"19_CR27","doi-asserted-by":"publisher","unstructured":"Chipman, H.A., George, E.I,. McCulloch, R.E.: BART: Bayesian additive regression trees. arXiv:0806.3286 [stat], October 2010. https:\/\/doi.org\/10.1214\/09-aoas285","DOI":"10.1214\/09-aoas285"}],"container-title":["Lecture Notes in Computer Science","Intelligent Tutoring Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80421-3_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T23:23:00Z","timestamp":1626132180000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80421-3_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030804206","9783030804213"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80421-3_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ITS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Tutoring Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"its2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/its2021.iis-international.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"87","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}