{"id":"https://openalex.org/W7116441404","doi":"https://doi.org/10.1109/tcss.2025.3635820","title":"Early Success Prediction for Online Learners: A Semisupervised and Self-Training Approach","display_name":"Early Success Prediction for Online Learners: A Semisupervised and Self-Training Approach","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W7116441404","doi":"https://doi.org/10.1109/tcss.2025.3635820"},"language":null,"primary_location":{"id":"doi:10.1109/tcss.2025.3635820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3635820","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-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/A5036602140","display_name":"Jia Hao","orcid":"https://orcid.org/0000-0001-8099-9771"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I142861451","display_name":"Yunnan Nationalities University","ror":"https://ror.org/030jhb479","country_code":"CN","type":"education","lineage":["https://openalex.org/I142861451"]},{"id":"https://openalex.org/I4210110997","display_name":"Ministry of Education","ror":"https://ror.org/01xexqx38","country_code":"ME","type":"government","lineage":["https://openalex.org/I4210110997"]}],"countries":["CN","ME"],"is_corresponding":true,"raw_author_name":"Jia Hao","raw_affiliation_strings":["Key Laboratory of Education Informatization for Nationalities, Ministry of Education, and Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-8099-9771","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Informatization for Nationalities, Ministry of Education, and Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670","https://openalex.org/I4210110997","https://openalex.org/I142861451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083400938","display_name":"Jiatian Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I142861451","display_name":"Yunnan Nationalities University","ror":"https://ror.org/030jhb479","country_code":"CN","type":"education","lineage":["https://openalex.org/I142861451"]},{"id":"https://openalex.org/I4210110997","display_name":"Ministry of Education","ror":"https://ror.org/01xexqx38","country_code":"ME","type":"government","lineage":["https://openalex.org/I4210110997"]}],"countries":["CN","ME"],"is_corresponding":false,"raw_author_name":"Jiatian Mei","raw_affiliation_strings":["Key Laboratory of Education Informatization for Nationalities, Ministry of Education, and Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-6056-7656","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Informatization for Nationalities, Ministry of Education, and Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670","https://openalex.org/I4210110997","https://openalex.org/I142861451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120927747","display_name":"Jianhou Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I142861451","display_name":"Yunnan Nationalities University","ror":"https://ror.org/030jhb479","country_code":"CN","type":"education","lineage":["https://openalex.org/I142861451"]},{"id":"https://openalex.org/I4210110997","display_name":"Ministry of Education","ror":"https://ror.org/01xexqx38","country_code":"ME","type":"government","lineage":["https://openalex.org/I4210110997"]}],"countries":["CN","ME"],"is_corresponding":false,"raw_author_name":"Jianhou Gan","raw_affiliation_strings":["Key Laboratory of Education Informatization for Nationalities, Ministry of Education, and Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0008-1984-9019","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Informatization for Nationalities, Ministry of Education, and Yunnan Key Laboratory of Smart Education, Yunnan Normal University, Kunming, China","institution_ids":["https://openalex.org/I120825670","https://openalex.org/I4210110997","https://openalex.org/I142861451"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036602140"],"corresponding_institution_ids":["https://openalex.org/I120825670","https://openalex.org/I142861451","https://openalex.org/I4210110997"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68176272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"2","first_page":"2253","last_page":"2268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.7120000123977661,"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":0.7120000123977661,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.09489999711513519,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.013899999670684338,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.5942000150680542},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5583000183105469},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5425000190734863},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5343999862670898},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4300999939441681},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.41600000858306885},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.39329999685287476},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38100001215934753},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.34139999747276306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6830000281333923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6804999709129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6581000089645386},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5942000150680542},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5425000190734863},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.41600000858306885},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.39329999685287476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.34139999747276306},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3075999915599823},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2800999879837036},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2694999873638153},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3635820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3635820","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.604783296585083,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,176],"accurate":[1],"and":[2,74,98,139],"early":[3,78],"prediction":[4,80],"of":[5,43,92,173,190],"online":[6,23,96,160],"learners\u2019":[7,36,137,161],"final":[8,56,162],"success":[9,57,79,163],"significantly":[10],"aids":[11],"administrators":[12],"in":[13,31,58],"providing":[14],"timely":[15],"assistance,":[16],"thereby":[17],"enhancing":[18],"the":[19,32,41,59,114,120,131,155,159,169,174,180,188],"retention":[20],"rate":[21],"for":[22,77],"educational":[24],"platforms.":[25],"However,":[26],"a":[27,68,89,101,126,142],"primary":[28],"challenge":[29],"lies":[30],"fact":[33],"that":[34,154],"most":[35],"behaviors":[37],"remain":[38],"unlabeled":[39,136],"until":[40],"end":[42],"semester,":[44],"hindering":[45],"researchers":[46],"from":[47,94,135],"utilizing":[48],"traditional":[49],"supervised":[50],"learning":[51],"methods":[52],"to":[53,107,129],"forecast":[54],"their":[55,166],"initial":[60],"weeks.":[61],"To":[62],"address":[63],"these":[64],"challenges,":[65],"we":[66,124],"introduce":[67],"framework":[69],"called":[70],"data":[71],"augmentation-based":[72],"semisupervised":[73,146],"self-training":[75,127],"method":[76,128],"(DSSP).":[81],"Specifically,":[82],"DSSP":[83],"initially":[84],"gathers":[85],"labeled":[86,121],"datasets":[87],"with":[88],"limited":[90],"number":[91],"instances":[93],"completed":[95],"courses":[97],"then":[99,140],"employs":[100],"generative":[102],"adversarial":[103],"network":[104],"(GAN)-based":[105],"approach":[106],"augment":[108],"an":[109],"auxiliary":[110],"dataset,":[111],"which":[112],"maintains":[113],"same":[115],"mixed":[116],"Gaussian":[117],"distributions":[118],"as":[119],"set.":[122],"Furthermore,":[123],"apply":[125],"capture":[130],"latent":[132],"behavior":[133,167],"pattern":[134],"dataset":[138,182],"train":[141],"multilayer":[143],"perceptron":[144],"(MLP)-based":[145],"predictor":[147],"via":[148],"consistency":[149],"loss":[150],"till":[151],"convergence,":[152],"so":[153],"model":[156],"can":[157],"predict":[158],"when":[164],"given":[165],"at":[168],"first":[170],"few":[171],"weeks":[172],"semester.":[175],"extensive":[177],"experiments":[178],"on":[179],"public":[181],"OULAD":[183],"(<uri":[184],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://analyse.kmi.open.ac.uk/opendataset</uri>)":[186],"demonstrate":[187],"effectiveness":[189],"our":[191],"proposed":[192],"methods.":[193]},"counts_by_year":[],"updated_date":"2026-04-03T16:38:21.277918","created_date":"2025-12-21T00:00:00"}
