{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:35:45Z","timestamp":1757619345393,"version":"3.44.0"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031992636"},{"type":"electronic","value":"9783031992643"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-99264-3_45","type":"book-chapter","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T06:42:50Z","timestamp":1753252970000},"page":"359-365","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mining Student Activity Sequences in\u00a0a\u00a0Large-Scale Online Programming Course"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8149-1568","authenticated-orcid":false,"given":"Ziwei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5981-4426","authenticated-orcid":false,"given":"Bryn","family":"Jeffries","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9479-4187","authenticated-orcid":false,"given":"Irena","family":"Koprinska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,21]]},"reference":[{"key":"45_CR1","unstructured":"Abuabat, A., Brusilovsky, P.: Sequence analysis of learning behavior in different consecutive activities. In: Proceedings of E-Learn: World Conference on EdTech, pp. 817\u2013822 (2018)"},{"key":"45_CR2","unstructured":"Cobo, G., Garc\u00eda-Sol\u00f3rzano, D., Santamar\u00eda, E., Mor\u00e1n, J.A., Melench\u00f3n, J., Monzo, C.: Modeling students\u2019 activity in online discussion forums: a strategy based on time series and agglomerative hierarchical clustering. In: Proceedings of the International Conference on Educational Data Mining (2011)"},{"key":"45_CR3","unstructured":"Desmarais, M., Lemieux, F.: Clustering and visualizing study state sequences. In: Proceedings of the International Conference on Educational Data Mining (2013)"},{"key":"45_CR4","unstructured":"Hansen, C., Hansen, C., Hjuler, N., Alstrup, S., Lioma, C.: Sequence modelling for analysing student interaction with educational systems. In: Proceedings of the International Conference on Educational Data Mining (2017)"},{"issue":"500","key":"45_CR5","doi-asserted-by":"publisher","first-page":"1590","DOI":"10.1080\/01621459.2012.737745","volume":"107","author":"R Killick","year":"2012","unstructured":"Killick, R., Fearnhead, P., Eckley, I.A.: Optimal detection of changepoints with a linear computational cost. J. Am. Stat. Assoc. 107(500), 1590\u20131598 (2012)","journal-title":"J. Am. Stat. Assoc."},{"key":"45_CR6","unstructured":"Klingler, S., K\u00e4ser, T., Solenthaler, B., Gross, M.: Temporally coherent clustering of student data. In: Proceedings of the International Conference on Educational Data Mining (2016)"},{"key":"45_CR7","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1007\/s11257-010-9087-z","volume":"21","author":"M K\u00f6ck","year":"2011","unstructured":"K\u00f6ck, M., Paramythis, A.: Activity sequence modelling and dynamic clustering for personalized e-learning. User Model. User-Adap. Inter. 21, 51\u201397 (2011)","journal-title":"User Model. User-Adap. Inter."},{"issue":"2","key":"45_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s10618-007-0064-z","volume":"15","author":"J Lin","year":"2007","unstructured":"Lin, J., Keogh, E., Wei, L., Lonardi, S.: Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Disc. 15(2), 107\u2013144 (2007)","journal-title":"Data Min. Knowl. Disc."},{"issue":"5","key":"45_CR9","doi-asserted-by":"publisher","first-page":"1349","DOI":"10.1007\/s10115-022-01674-9","volume":"64","author":"R Maqsood","year":"2022","unstructured":"Maqsood, R., Ceravolo, P., Romero, C., Ventura, S.: Modeling and predicting students\u2019 engagement behaviors using mixture Markov models. Knowl. Inf. Syst. 64(5), 1349\u20131384 (2022)","journal-title":"Knowl. Inf. Syst."},{"key":"45_CR10","doi-asserted-by":"crossref","unstructured":"McBroom, J., Paassen, B., Jeffries, B., Koprinska, I., Yacef, K.: Progress networks as a tool for analysing student programming difficulties. In: Proceedings of the 23rd Australasian Computing Education Conference, pp. 158\u2013167 (2021)","DOI":"10.1145\/3441636.3442366"},{"key":"45_CR11","doi-asserted-by":"crossref","unstructured":"McBroom, J., Yacef, K., Koprinska, I.: DETECT: a hierarchical clustering algorithm for behavioural trends in temporal educational data. In: Proceedings of the International Conference on Artificial Intelligence in Education, pp. 374\u2013385 (2020)","DOI":"10.1007\/978-3-030-52237-7_30"},{"key":"45_CR12","doi-asserted-by":"crossref","unstructured":"Polito, S., Koprinska, I., Jeffries, B.: Exploring student engagement in an online programming course using machine learning methods. In: Proceedings of the International Conference on Artificial Intelligence in Education, pp. 546\u2013550 (2022)","DOI":"10.1007\/978-3-031-11647-6_112"},{"issue":"1","key":"45_CR13","doi-asserted-by":"publisher","first-page":"3","DOI":"10.3102\/10769986211010467","volume":"47","author":"E Ulitzsch","year":"2022","unstructured":"Ulitzsch, E., He, Q., Pohl, S.: Using sequence mining techniques for understanding incorrect behavioral patterns on interactive tasks. J. Educ. Behav. Stat. 47(1), 3\u201335 (2022)","journal-title":"J. Educ. Behav. Stat."},{"key":"45_CR14","doi-asserted-by":"crossref","unstructured":"Zhu, M., Wang, X., Xu, Q., Andrews-Todd, J.: Behavior sequence patterns in collaborative problem solving: a multiple-perspective analysis. In: Proceedings of the International Conference on Computer-Supported Collaborative Learning, pp. 205\u2013208 (2024)","DOI":"10.22318\/cscl2024.112400"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-99264-3_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T18:50:17Z","timestamp":1757271017000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-99264-3_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031992636","9783031992643"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-99264-3_45","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Palermo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2025.itd.cnr.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}