{"id":"https://openalex.org/W2791003294","doi":"https://doi.org/10.1145/3170358.3170373","title":"Coenrollment networks and their relationship to grades in undergraduate education","display_name":"Coenrollment networks and their relationship to grades in undergraduate education","publication_year":2018,"publication_date":"2018-03-07","ids":{"openalex":"https://openalex.org/W2791003294","doi":"https://doi.org/10.1145/3170358.3170373","mag":"2791003294"},"language":"en","primary_location":{"id":"doi:10.1145/3170358.3170373","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3170358.3170373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110941464","display_name":"Josh Gardner","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Josh Gardner","raw_affiliation_strings":["The University of Michigan"],"affiliations":[{"raw_affiliation_string":"The University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081802677","display_name":"Christopher Brooks","orcid":"https://orcid.org/0000-0003-0875-0204"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Brooks","raw_affiliation_strings":["The University of Michigan"],"affiliations":[{"raw_affiliation_string":"The University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110941464"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":4.727,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94641115,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5236127972602844},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.48457372188568115},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19692283868789673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5236127972602844},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.48457372188568115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19692283868789673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3170358.3170373","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3170358.3170373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W245759112","https://openalex.org/W595549847","https://openalex.org/W1517113043","https://openalex.org/W1519178082","https://openalex.org/W1534477342","https://openalex.org/W1546047739","https://openalex.org/W1608748481","https://openalex.org/W1670132599","https://openalex.org/W1733670649","https://openalex.org/W1908728294","https://openalex.org/W1912982817","https://openalex.org/W1933130724","https://openalex.org/W1970874697","https://openalex.org/W1988814344","https://openalex.org/W1989524890","https://openalex.org/W2002826893","https://openalex.org/W2008684283","https://openalex.org/W2011287504","https://openalex.org/W2014439263","https://openalex.org/W2017102965","https://openalex.org/W2033193852","https://openalex.org/W2042123098","https://openalex.org/W2049607688","https://openalex.org/W2049665839","https://openalex.org/W2058690300","https://openalex.org/W2062021443","https://openalex.org/W2072782271","https://openalex.org/W2076008912","https://openalex.org/W2085789144","https://openalex.org/W2110224739","https://openalex.org/W2125315567","https://openalex.org/W2126046748","https://openalex.org/W2126185296","https://openalex.org/W2128096806","https://openalex.org/W2130193180","https://openalex.org/W2143908786","https://openalex.org/W2145076066","https://openalex.org/W2147880316","https://openalex.org/W2148123869","https://openalex.org/W2148606196","https://openalex.org/W2152814537","https://openalex.org/W2168627253","https://openalex.org/W2169418357","https://openalex.org/W2173786941","https://openalex.org/W2185268784","https://openalex.org/W2282821441","https://openalex.org/W2295598076","https://openalex.org/W2317132596","https://openalex.org/W2341535507","https://openalex.org/W2511270458","https://openalex.org/W2551441037","https://openalex.org/W2573742935","https://openalex.org/W2589744741","https://openalex.org/W2595220043","https://openalex.org/W2607294868","https://openalex.org/W2742058135","https://openalex.org/W2901211481","https://openalex.org/W2962735828","https://openalex.org/W3021787434","https://openalex.org/W3035737531","https://openalex.org/W3099386891","https://openalex.org/W3102476541","https://openalex.org/W3122458291","https://openalex.org/W3124682511","https://openalex.org/W4235377879","https://openalex.org/W4248606303"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2766271392","https://openalex.org/W2350741829","https://openalex.org/W3004735627"],"abstract_inverted_index":{"In":[0,75],"this":[1],"paper,":[2],"we":[3,77,87],"evaluate":[4],"the":[5,26,30,89,100,140],"complete":[6],"undergraduate":[7,91,113],"coenrollment":[8,31,92],"network":[9,93],"over":[10],"a":[11,16,64,79,119],"decade":[12],"of":[13,25,102,142,148],"education":[14],"at":[15],"large":[17],"American":[18],"public":[19],"university.":[20],"We":[21,61,98],"provide":[22],"descriptive":[23],"properties":[24],"network,":[27],"demonstrating":[28],"that":[29,44,51,118],"networks":[32],"evaluated":[33],"follow":[34],"power-law":[35],"degree":[36],"distributions":[37],"similar":[38],"to":[39,69,105,160],"many":[40],"other":[41],"large-scale":[42],"networks;":[43],"they":[45],"reveal":[46],"strong":[47],"performance-based":[48],"assortativity;":[49],"and":[50,116,127,151],"network-based":[52,128,154],"features":[53],"can":[54],"significantly":[55],"improve":[56],"GPA-based":[57],"student":[58,149],"performance":[59,101],"predictors.":[60],"then":[62],"implement":[63],"network-based,":[65],"multi-view":[66,120],"classification":[67,135],"model":[68,88],"predict":[70],"students'":[71],"final":[72],"course":[73],"grades.":[74],"particular,":[76],"adapt":[78],"structural":[80],"modeling":[81,155],"approach":[82,122],"from":[83],"[19,":[84],"34],":[85],"whereby":[86],"university-wide":[90],"as":[94],"an":[95],"undirected":[96],"graph.":[97],"compare":[99],"our":[103],"predictor":[104],"traditional":[106],"methods":[107],"used":[108],"for":[109,130,164],"grade":[110,131,165],"prediction":[111,132],"in":[112,146],"university":[114],"courses,":[115],"demonstrate":[117,139,152],"ensembling":[121],"outperforms":[123],"both":[124],"prior":[125],"\"flat\"":[126],"models":[129,147],"across":[133],"several":[134],"metrics.":[136],"These":[137],"findings":[138],"usefulness":[141],"combining":[143],"diverse":[144],"approaches":[145],"success,":[150],"specific":[153],"strategies":[156],"which":[157],"are":[158],"likely":[159],"be":[161],"most":[162],"effective":[163],"prediction.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}