{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T16:34:56Z","timestamp":1770741296315,"version":"3.49.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030503338","type":"print"},{"value":"9783030503345","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-50334-5_17","type":"book-chapter","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T23:21:31Z","timestamp":1594336891000},"page":"255-272","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Educators in the Loop: Using Scenario Simulation as a Tool to Understand and Investigate Predictive Models of Student Dropout Risk in Distance Learning"],"prefix":"10.1007","author":[{"given":"R\u00f4mulo","family":"Freitas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luciana","family":"Salgado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.csi.2017.01.004","volume":"54","author":"J Akoka","year":"2017","unstructured":"Akoka, J., Isabelle, C., Nabil, L.: Research on big data-a systematic mapping study. Comput. Stand. Interfaces 54, 105\u2013115 (2017)","journal-title":"Comput. Stand. Interfaces"},{"key":"17_CR2","doi-asserted-by":"publisher","first-page":"287","DOI":"10.21552\/EDPL\/2016\/3\/4","volume":"2","author":"J Albrecht","year":"2016","unstructured":"Albrecht, J.: How the GDPR will change the world. Eur. Data Prot. Law Rev. 2, 287\u2013289 (2016)","journal-title":"Eur. Data Prot. Law Rev."},{"key":"17_CR3","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1080\/00031305.1992.10475879","volume":"46","author":"N Altman","year":"1992","unstructured":"Altman, N.: An introduction to kernel and nearest-neighbor nonparametric regression. Am. Stat. 46, 175\u2013185 (1992)","journal-title":"Am. Stat."},{"issue":"4","key":"17_CR4","first-page":"107","volume":"13","author":"J Baxter","year":"2012","unstructured":"Baxter, J.: Who am I and what keeps me going? Profiling the distance learning student in higher education. Int. Rev. Res. Open Distrib. Learn. 13(4), 107\u2013129 (2012)","journal-title":"Int. Rev. Res. Open Distrib. Learn."},{"issue":"3","key":"17_CR5","doi-asserted-by":"publisher","first-page":"353","DOI":"10.2304\/elea.2006.3.3.353","volume":"3","author":"Y Cai","year":"2006","unstructured":"Cai, Y., Guo, W.: Responses of Chinese higher education to the information society. E-Learn. Digit. Media 3(3), 353\u2013360 (2006)","journal-title":"E-Learn. Digit. Media"},{"key":"17_CR6","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/S0888-613X(96)00074-6","volume":"15","author":"M Chmielewski","year":"1996","unstructured":"Chmielewski, M., Grzymala-Busse, J.: Global discretization of continuous attributes as preprocessing for machine learning. Int. J. Approximate Reasoning 15, 319\u2013331 (1996)","journal-title":"Int. J. Approximate Reasoning"},{"key":"17_CR7","unstructured":"General Data Protection Regulation. https:\/\/gdpr-info.eu\/. Accessed 24 Feb 2020"},{"key":"17_CR8","volume-title":"Data Mining: Concepts and Techniques","author":"J Han","year":"2006","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann, Burlington (2006)","edition":"2"},{"key":"17_CR9","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1080\/13562510903186774","volume":"14","author":"J Hanson","year":"2009","unstructured":"Hanson, J.: Displaced but not replaced: the impact of E-learning on academic identities in higher education. Teach. High. Educ. 14, 553\u2013564 (2009)","journal-title":"Teach. High. Educ."},{"issue":"1\u20132","key":"17_CR10","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/S1096-7516(00)00032-4","volume":"3","author":"L Harasim","year":"2000","unstructured":"Harasim, L.: Shift happens: online education as a new paradigm in learning. Internet High. Educ. 3(1\u20132), 41\u201361 (2000)","journal-title":"Internet High. Educ."},{"key":"17_CR11","series-title":"Springer Series in Statistics","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction. SSS, 2nd edn. Springer, New York (2009). https:\/\/doi.org\/10.1007\/978-0-387-84858-7","edition":"2"},{"key":"17_CR12","unstructured":"INEP. Censo da Educa\u00e7\u00e3o Superior: Notas Estat\u00edsticas (2018). http:\/\/tiny.cc\/crufkz. Accessed 24 Feb 2020"},{"key":"17_CR13","unstructured":"Isaacs, S.: The eLearning Africa Report 2013 (2014)"},{"key":"17_CR14","first-page":"15","volume":"10","author":"E Joh","year":"2016","unstructured":"Joh, E.: The new surveillance discretion: automated suspicion, big data, and policing. Harv. L. Pol\u2019y Rev. 10, 15 (2016)","journal-title":"Harv. L. Pol\u2019y Rev."},{"issue":"1","key":"17_CR15","first-page":"133","volume":"15","author":"K Jordan","year":"2014","unstructured":"Jordan, K.: Initial trends in enrolment and completion of massive open online courses. Int. Rev. Res. Open Distrib. Learn. 15(1), 133\u2013160 (2014)","journal-title":"Int. Rev. Res. Open Distrib. Learn."},{"key":"17_CR16","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1108\/17415650480000027","volume":"1","author":"S Kotsiantis","year":"2004","unstructured":"Kotsiantis, S., Pintelas, P.: A decision support prototype tool for predicting student performance in an ODL environment. Interact. Technol. Smart Educ. 1, 253\u2013264 (2004)","journal-title":"Interact. Technol. Smart Educ."},{"key":"17_CR17","unstructured":"Lei Geral de Prote\u00e7\u00e3o de Dados Pessoais. http:\/\/tiny.cc\/ulvfkz. Accessed 24 Feb 2020"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Liang, J., Li, C., Zheng, L.: Machine learning application in MOOCs: dropout prediction. In: 11th International Conference on Computer Science & Education (ICCSE), pp. 52\u201357. IEEE (2016)","DOI":"10.1109\/ICCSE.2016.7581554"},{"key":"17_CR19","unstructured":"Liu H., Rudy S.: Chi2: feature selection and discretization of numeric attributes. In: 7th IEEE International Conference on Tools with Artificial Intelligence. IEEE (1995)"},{"key":"17_CR20","volume-title":"Data Mining with Decision Trees: Theory and Applications","author":"O Maimon","year":"2008","unstructured":"Maimon, O.: Data Mining with Decision Trees: Theory and Applications. World Scientific, Singapore (2008)"},{"key":"17_CR21","doi-asserted-by":"crossref","unstructured":"Mayer, R.: Multimedia learning. In: Psychology of Learning and Motivation, pp. 85\u2013139. Academic Press (2002)","DOI":"10.1016\/S0079-7421(02)80005-6"},{"key":"17_CR22","unstructured":"Means, B., Toyama, Y., Murphy, R., Bakia, M., Jones, K.: Evaluation of evidence-based practices in online learning: a meta-analysis and review of online learning studies (2009)"},{"issue":"11","key":"17_CR23","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1145\/319382.319388","volume":"42","author":"T Mitchell","year":"1999","unstructured":"Mitchell, T.: Machine learning and data mining. Commun. ACM 42(11), 30\u201336 (1999)","journal-title":"Commun. ACM"},{"issue":"2","key":"17_CR24","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.iheduc.2010.10.001","volume":"14","author":"J Moore","year":"2011","unstructured":"Moore, J., Dickson-Deane, C., Galyen, K.: e-Learning, online learning, and distance learning environments: are they the same? Internet High. Educ. 14(2), 129\u2013135 (2011)","journal-title":"Internet High. Educ."},{"key":"17_CR25","unstructured":"Niemi, D., Gitin, E.: Using big data to predict student dropouts: technology affordances for research. International Association for Development of the Information Society (2012)"},{"key":"17_CR26","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1109\/TLT.2019.2911608","volume":"12","author":"A Ortigosa","year":"2019","unstructured":"Ortigosa, A., Carro, R., Bravo-Agapito, J., Lizcano, D., Alcolea, J., Blanco, O.: From lab to production: lessons learnt and real-life challenges of an early student-dropout prevention system. IEEE Trans. Learn. Technol. 12, 264\u2013277 (2019)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"17_CR27","unstructured":"Reitermanova, Z.: Data splitting. In: WDS, vol. 10 (2010)"},{"key":"17_CR28","unstructured":"Ribeiro, E., Mendon\u00e7a, G., Mendon\u00e7a, A.: A import\u00e2ncia dos ambientes virtuais de aprendizagem na busca de novos dom\u00ednios da EAD. In: Anais do $$13^{\\circ }$$ Congresso Internacional de Educa\u00e7\u00e3o a Dist\u00e2ncia, Curitiba, Brasil (2007)"},{"key":"17_CR29","doi-asserted-by":"crossref","unstructured":"Sesabo, J., Mfaume, R., Msabila, D.: Opportunities and challenges in implementing distance learning and e-learning: a case study. In: Handbook of Research on Educational Technology Integration and Active Learning, pp. 329\u2013345. IGI Global (2015)","DOI":"10.4018\/978-1-4666-8363-1.ch016"},{"key":"17_CR30","unstructured":"Snyder, T., Dillow, S.: Digest of education statistics, 2008. Government Printing Office, US Department of Health, Education, and Welfare (2009)"},{"key":"17_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/978-3-319-66610-5_22","volume-title":"Data Driven Approaches in Digital Education","author":"M Vitiello","year":"2017","unstructured":"Vitiello, M., Walk, S., Chang, V., Hernandez, R., Helic, D., Guetl, C.: MOOC dropouts: a multi-system classifier. In: Lavou\u00e9, \u00c9., Drachsler, H., Verbert, K., Broisin, J., P\u00e9rez-Sanagust\u00edn, M. (eds.) EC-TEL 2017. LNCS, vol. 10474, pp. 300\u2013314. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66610-5_22"},{"key":"17_CR32","unstructured":"Wolff, A., Zdrahal, Z., Herrmannova, D., Kuzilek, J., Hlosta, M.: Developing predictive models for early detection of at-risk students on distance learning modules. In: Machine Learning and Learning Analytics Workshop at The 4th International Conference on Learning Analytics and Knowledge (LAK14), Indiana, USA, 24\u201328 Mar 2014 (2014)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in HCI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50334-5_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:43:48Z","timestamp":1720572228000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-50334-5_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030503338","9783030503345"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50334-5_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"10 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2020.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}