{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T07:12:42Z","timestamp":1776496362536,"version":"3.51.2"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031116438","type":"print"},{"value":"9783031116445","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-11644-5_56","type":"book-chapter","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T14:18:49Z","timestamp":1658845129000},"page":"607-613","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Popularity Prediction in\u00a0MOOCs: A Case Study on\u00a0Udemy"],"prefix":"10.1007","author":[{"given":"Lin","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zachari","family":"Swiecki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dragan","family":"Ga\u0161evi\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanliang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"56_CR1","doi-asserted-by":"crossref","unstructured":"Bandari, R., Asur, S., Huberman, B.: The pulse of news in social media: forecasting popularity. In: ICWSM, vol. 6 (2012)","DOI":"10.1609\/icwsm.v6i1.14261"},{"key":"56_CR2","doi-asserted-by":"crossref","unstructured":"Borges, H., Hora, A., Valente, M.T.: Predicting the popularity of github repositories. In: PROMISE, pp. 1\u201310 (2016)","DOI":"10.1145\/2972958.2972966"},{"key":"56_CR3","doi-asserted-by":"crossref","unstructured":"Christensen, G., Steinmetz, A., Alcorn, B., Bennett, A., Woods, D., Emanuel, E.: The MOOC phenomenon: who takes massive open online courses and why? Available at SSRN 2350964 (2013)","DOI":"10.2139\/ssrn.2350964"},{"key":"56_CR4","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"56_CR5","doi-asserted-by":"crossref","unstructured":"Gayberi, M., Oguducu, S.G.: Popularity prediction of posts in social networks based on user, post and image features. In: Proceedings of the 11th International Conference on Management of Digital EcoSystems, pp. 9\u201315 (2019)","DOI":"10.1145\/3297662.3365812"},{"key":"56_CR6","doi-asserted-by":"crossref","unstructured":"Guo, P.J., Reinecke, K.: Demographic differences in how students navigate through MOOCs. In: L@S, pp. 21\u201330 (2014)","DOI":"10.1145\/2556325.2566247"},{"key":"56_CR7","doi-asserted-by":"crossref","unstructured":"Kizilcec, R.F., Piech, C., Schneider, E.: Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In: LAK, pp. 170\u2013179 (2013)","DOI":"10.1145\/2460296.2460330"},{"key":"56_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1007\/978-3-319-73603-7_48","volume-title":"MultiMedia Modeling","author":"M Mazloom","year":"2018","unstructured":"Mazloom, M., Pappi, I., Worring, M.: Category specific post popularity prediction. In: Schoeffmann, K., et al. (eds.) MMM 2018. LNCS, vol. 10704, pp. 594\u2013607. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-73603-7_48"},{"key":"56_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.osnem.2019.05.002","volume":"12","author":"N Moniz","year":"2019","unstructured":"Moniz, N., Torgo, L.: A review on web content popularity prediction: issues and open challenges. Online Soc. Netw. Media 12, 1\u201320 (2019)","journal-title":"Online Soc. Netw. Media"},{"issue":"1","key":"56_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13174-014-0008-y","volume":"5","author":"A Tatar","year":"2014","unstructured":"Tatar, A., de Amorim, M.D., Fdida, S., Antoniadis, P.: A survey on predicting the popularity of web content. J. Internet Serv. Appl. 5(1), 1\u201320 (2014). https:\/\/doi.org\/10.1186\/s13174-014-0008-y","journal-title":"J. Internet Serv. Appl."},{"issue":"1\u20133","key":"56_CR11","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold, S., Esbensen, K., Geladi, P.: Principal component analysis. Chemom. Intell. Lab. Syst. 2(1\u20133), 37\u201352 (1987)","journal-title":"Chemom. Intell. Lab. Syst."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-11644-5_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:54:11Z","timestamp":1710359651000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11644-5_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031116438","9783031116445"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11644-5_56","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 July 2022","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":"Durham","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2022.webspace.durham.ac.uk\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"243","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":"40","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":"40","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":"16% - 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":"5","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}