{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:24:31Z","timestamp":1759335871771},"reference-count":0,"publisher":"Society for Learning Analytics Research","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Learning Analytics"],"abstract":"<jats:p>In this paper, we evaluate the complete undergraduate co-enrollment network over a decade of education at a large American public university. We provide descriptive and exploratory analyses of the network, demonstrating that the co-enrollment networks evaluated follow power-law degree distributions similar to many other large-scale networks; that they reveal strong performance-based assortativity; and that network-based features can improve GPA-based student performance predictors. We model the university-wide undergraduate co-enrollment network as an undirected graph, and implement multiple network-augmented approaches to student grade prediction, including an adaption of the structural modelling approach from (Getoor, 2005, \u00a0Lu, 2003}. We compare the performance of this predictor to traditional methods used for grade prediction in undergraduate university courses, and demonstrate that a multi-view ensembling approach outperforms both prior ``flat'' and network-based models for grade prediction across several classification metrics. These findings demonstrate the usefulness of combining diverse approaches in models of student success, and demonstrate specific network-based modelling strategies that are likely to be most effective for grade prediction.<\/jats:p>","DOI":"10.18608\/jla.2018.53.4","type":"journal-article","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T06:55:49Z","timestamp":1544424949000},"source":"Crossref","is-referenced-by-count":3,"title":["Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses"],"prefix":"10.18608","volume":"5","author":[{"given":"Joshua Patrick","family":"Gardner","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Brooks","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Warren","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7859","published-online":{"date-parts":[[2018,11,18]]},"container-title":["Journal of Learning Analytics"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/learning-analytics.info\/index.php\/JLA\/article\/download\/6146\/7035","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/learning-analytics.info\/index.php\/JLA\/article\/download\/6146\/7035","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T12:37:13Z","timestamp":1599136633000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/learning-analytics.info\/index.php\/JLA\/article\/view\/6146"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,18]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,12,11]]}},"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.18608\/jla.2018.53.4","relation":{},"ISSN":["1929-7750"],"issn-type":[{"value":"1929-7750","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,18]]}}}