{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T07:37:48Z","timestamp":1773041868826,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T00:00:00Z","timestamp":1489363200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,13]]},"DOI":"10.1145\/3027385.3027405","type":"proceedings-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T13:10:59Z","timestamp":1488201059000},"page":"474-478","source":"Crossref","is-referenced-by-count":46,"title":["From prediction to impact"],"prefix":"10.1145","author":[{"given":"Shane","family":"Dawson","sequence":"first","affiliation":[{"name":"University of South Australia, Adelaide, Australia"}]},{"given":"Jelena","family":"Jovanovic","sequence":"additional","affiliation":[{"name":"University of Belgrade, Serbia"}]},{"given":"Dragan","family":"Ga\u0161evi\u0107","sequence":"additional","affiliation":[{"name":"The University of Edinburgh, UK"}]},{"given":"Abelardo","family":"Pardo","sequence":"additional","affiliation":[{"name":"The University of Sydney, Australia"}]}],"member":"320","published-online":{"date-parts":[[2017,3,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Signals: Applying Academic Analytics. In EDUCAUSE Quarterly Magazine EDUCAUSE.","author":"Arnold K.E.","year":"2010"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330601.2330666"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Baker R.S.J.D. and Siemens G. 2014. Educational data mining and learning analytics. In Cambridge Handbook of the Learning Sciences (2nd Edition) K. Sawyer Ed. Cambridge University New York. Baker R.S.J.D. and Siemens G. 2014. Educational data mining and learning analytics. In Cambridge Handbook of the Learning Sciences (2nd Edition) K. Sawyer Ed. Cambridge University New York.","DOI":"10.1017\/CBO9781139519526.016"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2330601.2330664"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Bates D. Maechler M. Bolker B. and Walker S. 2014. lme4: Linear mixed-effects models using Eigen and S4. R package version 1 7. Bates D. Maechler M. Bolker B. and Walker S. 2014. lme4: Linear mixed-effects models using Eigen and S4. R package version 1 7.","DOI":"10.18637\/jss.v067.i01"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/03075079.2013.801428"},{"key":"e_1_3_2_1_7_1","unstructured":"Campbell J. 2007. Utilizing student data within the course management system to determine undergraduate student academic success: An exploratory study Purdue University. Campbell J. 2007. Utilizing student data within the course management system to determine undergraduate student academic success: An exploratory study Purdue University."},{"key":"e_1_3_2_1_8_1","unstructured":"Caulfield M. 2013. What the Course Signals \"Kerfuffle\" is About and What it Means to You. Educause http:\/\/www.educause.edu\/blogs\/mcaulfield\/what-course-signals-kerfuffle-about-and-what-it-means-you. Caulfield M. 2013. What the Course Signals \"Kerfuffle\" is About and What it Means to You. Educause http:\/\/www.educause.edu\/blogs\/mcaulfield\/what-course-signals-kerfuffle-about-and-what-it-means-you."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2883851.2883918"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2015.10.002"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1353\/jhe.2011.0005"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3102\/003465430298487"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2958.2006.00281.x"},{"key":"e_1_3_2_1_14_1","first-page":"6","volume":"1","author":"Jayaprakash S.M.","year":"2014","journal-title":"Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative Journal of Learning Analytics"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/03075079.2011.598505"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5204\/intjfyhe.v1i1.13"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18608\/jla.2015.23.6"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723576.2723623"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Krumm A.E. Waddington R.J. Teasley S.D. and Lonn S. 2014. A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering. In Learning Analytics: From Research to Practice J.A. Larusson and B. White Eds. Springer Science+Business Media New York USA 103--119. Krumm A.E. Waddington R.J. Teasley S.D. and Lonn S. 2014. A Learning Management System-Based Early Warning System for Academic Advising in Undergraduate Engineering. In Learning Analytics: From Research to Practice J.A. Larusson and B. White Eds. Springer Science+Business Media New York USA 103--119.","DOI":"10.1007\/978-1-4614-3305-7_6"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Laidlaw A. Mclellan J. and Ozakinci G. 2015. Understanding undergraduate student perceptions of mental health mental well-being and help-seeking behaviour. Studies in Higher Education Published online 1--13. Laidlaw A. Mclellan J. and Ozakinci G. 2015. Understanding undergraduate student perceptions of mental health mental well-being and help-seeking behaviour. Studies in Higher Education Published online 1--13.","DOI":"10.1080\/03075079.2015.1026890"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2009.09.008"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iheduc.2005.06.009"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2041-210x.2012.00261.x"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1080\/01587911003725048"},{"key":"e_1_3_2_1_25_1","unstructured":"Pardo A. and Dawson S. 2016. Learning Analytics. How can Data be used to Improve Learning Practice?. In Measuring and visualising learning in the information-rich classroom P. Reimann S. Bull M. Kickmeier-Rust R. Vatrapu and B. Wasson Eds. Routledge USA 41--55. Pardo A. and Dawson S. 2016. Learning Analytics. How can Data be used to Improve Learning Practice?. In Measuring and visualising learning in the information-rich classroom P. Reimann S. Bull M. Kickmeier-Rust R. Vatrapu and B. Wasson Eds. Routledge USA 41--55."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2883851.2883870"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1002\/cae.20456"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Romero C. L\u00f3pez M.-I. Luna J.-M. and Ventura S. 2013. Predicting students' final performance from participation in on-line discussion forums. Computers & Education 68(10\/\/) 458--472. Romero C. L\u00f3pez M.-I. Luna J.-M. and Ventura S. 2013. Predicting students' final performance from participation in on-line discussion forums. Computers & Education 68(10\/\/) 458--472.","DOI":"10.1016\/j.compedu.2013.06.009"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2010.2053532"},{"key":"e_1_3_2_1_30_1","unstructured":"Siemens G. Dawson S. and Lynch G. 2013. Improving the Productivity of the Higher Education Sector: Policy and Strategy for Systems-Level Deployment of Learning Analytics. Society for Learning Analytics Research; and the Australian Government Office for Learning and Teaching. Siemens G. Dawson S. and Lynch G. 2013. Improving the Productivity of the Higher Education Sector: Policy and Strategy for Systems-Level Deployment of Learning Analytics. Society for Learning Analytics Research; and the Australian Government Office for Learning and Teaching."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2460296.2460324"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1080\/00091383.2014.867209"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1080\/13538322.2013.802576"}],"event":{"name":"LAK '17: 7th International Learning Analytics and Knowledge Conference","location":"Vancouver British Columbia Canada","acronym":"LAK '17"},"container-title":["Proceedings of the Seventh International Learning Analytics &amp; Knowledge Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3027385.3027405","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3027405&ftid=1848382&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:03:05Z","timestamp":1750215785000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3027385.3027405"}},"subtitle":["evaluation of a learning analytics retention program"],"short-title":[],"issued":{"date-parts":[[2017,3,13]]},"references-count":33,"alternative-id":["10.1145\/3027385.3027405","10.1145\/3027385"],"URL":"https:\/\/doi.org\/10.1145\/3027385.3027405","relation":{},"subject":[],"published":{"date-parts":[[2017,3,13]]}}}