{"id":"https://openalex.org/W2893031446","doi":"https://doi.org/10.1109/icis.2018.8466383","title":"Research on Undergraduate Academic Prediction Model Based on Deep Learning","display_name":"Research on Undergraduate Academic Prediction Model Based on Deep Learning","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2893031446","doi":"https://doi.org/10.1109/icis.2018.8466383","mag":"2893031446"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2018.8466383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2018.8466383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","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/A5101353767","display_name":"Yanchao Sun","orcid":"https://orcid.org/0000-0002-1137-9939"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sun Yanchao","raw_affiliation_strings":["School of Mechanical electronic & information engineering, China University of Mining & Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical electronic & information engineering, China University of Mining & Technology, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461059","display_name":"Qian Xu","orcid":"https://orcid.org/0000-0001-5690-0583"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Xu","raw_affiliation_strings":["School of Mechanical electronic & information engineering, China University of Mining & Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical electronic & information engineering, China University of Mining & Technology, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020610406","display_name":"Minzheng Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152042","display_name":"Beijing Polytechnic","ror":"https://ror.org/03xgzn792","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Minzheng","raw_affiliation_strings":["Department of Information Engineering, Beijing Polytechnic College, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Beijing Polytechnic College, Beijing, China","institution_ids":["https://openalex.org/I4210152042"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bai Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai Jing","raw_affiliation_strings":["Dean\u2019s Office, Beijing Information Science & Techonology University, Bejing, China","Dean's Office, Beijing Information Science & Techonology University, Bejing, China"],"affiliations":[{"raw_affiliation_string":"Dean\u2019s Office, Beijing Information Science & Techonology University, Bejing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Dean's Office, Beijing Information Science & Techonology University, Bejing, China","institution_ids":["https://openalex.org/I78675632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101353767"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10967882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"653","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9969000220298767,"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":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7427667379379272},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5975376963615417},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5802916288375854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783637762069702},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5772523880004883},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5296342968940735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5218200087547302},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4882059395313263},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.47867947816848755},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45227935910224915},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.43916216492652893},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4321008324623108},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41866859793663025},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41695988178253174},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.09697642922401428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427667379379272},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5975376963615417},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5802916288375854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783637762069702},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5772523880004883},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5296342968940735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5218200087547302},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4882059395313263},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.47867947816848755},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45227935910224915},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.43916216492652893},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4321008324623108},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41866859793663025},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41695988178253174},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.09697642922401428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2018.8466383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2018.8466383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2013780712","https://openalex.org/W2167252040","https://openalex.org/W2252860571","https://openalex.org/W2591224577","https://openalex.org/W2591303068","https://openalex.org/W2593521598","https://openalex.org/W2605884437","https://openalex.org/W2772269457","https://openalex.org/W2772662345","https://openalex.org/W2774452433"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W2369897927","https://openalex.org/W3031731056","https://openalex.org/W4293167957","https://openalex.org/W3185156046","https://openalex.org/W3128438030","https://openalex.org/W4282583532","https://openalex.org/W4256076151"],"abstract_inverted_index":{"Academic":[0],"prediction":[1,51,63,171,180],"is":[2,134,158],"an":[3],"important":[4],"management":[5,192],"means":[6],"to":[7,114,121,146,160,188],"strengthen":[8],"the":[9,16,28,40,53,57,66,69,74,86,90,93,96,99,104,112,117,132,143,148,152,162,168,190,196],"construction":[10,58],"of":[11,18,27,34,48,59,65,76,79,92,98,198],"study":[12],"style":[13],"and":[14,23,31,36,62,82,102,109,136,151,186,194],"improve":[15,195],"quality":[17,197],"talent":[19],"training":[20,101,130],"in":[21,39,124,127],"Colleges":[22],"universities.":[24],"In":[25],"view":[26],"current":[29],"colleges":[30,185],"universities":[32,187],"lack":[33],"scientific":[35],"effective":[37],"methods":[38,193],"undergraduate":[41,49,169],"academic":[42,50,170],"prediction,":[43],"based":[44,173],"on":[45,174],"deep":[46],"learning":[47],"model,":[52],"model":[54,64,85,105,113,133,149,172],"mainly":[55],"includes":[56],"feature":[60,70],"reconstruction":[61],"two":[67],"modules,":[68],"extraction":[71],"module,":[72],"including":[73],"selection":[75],"students,":[77],"characteristics":[78,91],"format":[80],"conversion":[81],"dimension":[83],"recombination;":[84],"convolutional":[87],"neural":[88,176],"network":[89,177],"input":[94],"after":[95],"reorganization":[97],"improved":[100],"validation,":[103],"parameters":[106],"were":[107],"optimized,":[108],"then":[110,183],"use":[111],"forecast.":[115],"Taking":[116],"data":[118,156],"from":[119],"2007":[120],"2010":[122],"students":[123,139],"a":[125],"university":[126],"Beijing":[128],"as":[129,142],"set,":[131],"trained,":[135],"2011":[137],"level":[138,154],"are":[140],"selected":[141],"validation":[144],"set":[145,157],"optimize":[147,189],"parameters,":[150],"2012":[153],"student":[155],"used":[159],"evaluate":[161],"model.":[163],"The":[164],"results":[165],"show":[166],"that":[167],"CNN":[175],"has":[178],"higher":[179],"accuracy.":[181],"And":[182],"help":[184],"teaching":[191],"teaching.":[199]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
