{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T09:08:54Z","timestamp":1759741734180,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,3,4]],"date-time":"2019-03-04T00:00:00Z","timestamp":1551657600000},"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":[[2019,3,4]]},"DOI":"10.1145\/3303772.3303792","type":"proceedings-article","created":{"date-parts":[[2019,2,25]],"date-time":"2019-02-25T13:32:31Z","timestamp":1551101551000},"page":"531-538","source":"Crossref","is-referenced-by-count":17,"title":["Descriptive and Predictive Modeling of Student Achievement, Satisfaction, and Mental Health for Data-Driven Smart Connected Campus Life Service"],"prefix":"10.1145","author":[{"given":"Joon","family":"Heo","sequence":"first","affiliation":[{"name":"Yonsei University, Seodaemun-gu, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyoungjoon","family":"Lim","sequence":"additional","affiliation":[{"name":"Yonsei University, Seodaemun-gu, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung Bum","family":"Yun","sequence":"additional","affiliation":[{"name":"Yonsei University, Seodaemun-gu, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sungha","family":"Ju","sequence":"additional","affiliation":[{"name":"Yonsei University, Seodaemun-gu, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangyoon","family":"Park","sequence":"additional","affiliation":[{"name":"Yonsei University, Seodaemun-gu, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebekah","family":"Lee","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"U.S. Department of Education (2012). Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief Washington D.C. U.S. Department of Education (2012). Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief Washington D.C."},{"key":"e_1_3_2_1_2_1","unstructured":"Johnson L. R. Smith H. Willis A. Levine & K. Haywood. (2011). The 2011 Horizon Report. Austin TX: The New Media Consortium. Horizon reports identify and describe emerging technologies likely to have an impact on college and university campuses within the next five years. Johnson L. R. Smith H. Willis A. Levine & K. Haywood. (2011). The 2011 Horizon Report. Austin TX: The New Media Consortium. Horizon reports identify and describe emerging technologies likely to have an impact on college and university campuses within the next five years."},{"key":"e_1_3_2_1_3_1","unstructured":"Christensen C. M. Horn M. B. & Johnson C. W. (2008). Disrupting class: How disruptive innovation will change the way the world learns. New York: McGraw-Hill. Christensen C. M. Horn M. B. & Johnson C. W. (2008). Disrupting class: How disruptive innovation will change the way the world learns. New York: McGraw-Hill."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632054"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Wang R. Harari G. Hao P. Zhou X. & Campbell A.T. (2015) SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students.\" In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 7--11). ACM. 10.1145\/2750858.2804251 Wang R. Harari G. Hao P. Zhou X. & Campbell A.T. (2015) SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students.\" In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 7--11). ACM. 10.1145\/2750858.2804251","DOI":"10.1145\/2750858.2804251"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2016.10.027"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054159"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054165"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557366"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2009.09.008"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3006386.3006389"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3152341.3152343"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Kessler R. C. Foster C. L. Saunders W. B. & Stang P. E. (1995). Social consequences of psychiatric disorders I: Educational attainment. The American journal of psychiatry 152(7) 1026. Kessler R. C. Foster C. L. Saunders W. B. & Stang P. E. (1995). Social consequences of psychiatric disorders I: Educational attainment. The American journal of psychiatry 152(7) 1026.","DOI":"10.1176\/ajp.152.7.1026"},{"key":"e_1_3_2_1_15_1","unstructured":"Aulck L. Velagapudi N. Blumenstock J. & West J. (2017). Predicting Student Dropout in Higher Education. Aulck L. Velagapudi N. Blumenstock J. & West J. (2017). Predicting Student Dropout in Higher Education."},{"key":"e_1_3_2_1_16_1","unstructured":"Benford R. & Gess-Newsome J.(2006). Factors Affecting Student Academic Success in Gateway Courses at Northern Arizona University. Benford R. & Gess-Newsome J.(2006). Factors Affecting Student Academic Success in Gateway Courses at Northern Arizona University."},{"key":"e_1_3_2_1_17_1","unstructured":"Gershenfeld S. Hood D.W. & Zhan M. (2015).The Role of First-Semester GPA in Predicting Graduation Rates of Underrepresented Students. Gershenfeld S. Hood D.W. & Zhan M. (2015).The Role of First-Semester GPA in Predicting Graduation Rates of Underrepresented Students."},{"key":"e_1_3_2_1_18_1","unstructured":"Arnold K.E. & Pistilli M.D. (2012). Course Signals at Purdue: Using Learning Analytics to Increase Student Success. Arnold K.E. & Pistilli M.D. (2012). Course Signals at Purdue: Using Learning Analytics to Increase Student Success."},{"key":"e_1_3_2_1_19_1","unstructured":"Dietz-Uhler B. & Hurn J.E. (2013). Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective. Dietz-Uhler B. & Hurn J.E. (2013). Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Wang R. Chen F. Chen Z. Li T. Harari G. Tignor S. Zhou X. Ben-Zeev D. & Campbell A.T (2014). StudentLife: Assessing Mental Health Academic Performance and Behavioral Trends of College Students using Smartphones. Wang R. Chen F. Chen Z. Li T. Harari G. Tignor S. Zhou X. Ben-Zeev D. & Campbell A.T (2014). StudentLife: Assessing Mental Health Academic Performance and Behavioral Trends of College Students using Smartphones.","DOI":"10.1145\/2632048.2632054"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Wang R. Harari G. Hao P. Zhou X. & Campbell A.T.(2015). SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students. Wang R. Harari G. Hao P. Zhou X. & Campbell A.T.(2015). SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students.","DOI":"10.1145\/2750858.2804251"},{"key":"e_1_3_2_1_22_1","unstructured":"Eagle N. & Pentland A.S. (2009). Eigenbehaviors: identifying structure in routine. Eagle N. & Pentland A.S. (2009). Eigenbehaviors: identifying structure in routine."}],"event":{"name":"LAK19: The 9th International Learning Analytics & Knowledge Conference","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SoLAR The Society for Learning Analytics Research","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Tempe AZ USA","acronym":"LAK19"},"container-title":["Proceedings of the 9th International Conference on Learning Analytics & Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3303772.3303792","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3303792&ftid=2041027&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:39Z","timestamp":1750204419000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3303772.3303792"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,4]]},"references-count":21,"alternative-id":["10.1145\/3303772.3303792","10.1145\/3303772"],"URL":"https:\/\/doi.org\/10.1145\/3303772.3303792","relation":{},"subject":[],"published":{"date-parts":[[2019,3,4]]}}}