{"id":"https://openalex.org/W7203836631","doi":"https://doi.org/10.1016/j.procs.2026.07.289","title":"Research on Student Performance Prediction Based on Multi Feature Fusion","display_name":"Research on Student Performance Prediction Based on Multi Feature Fusion","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7203836631","doi":"https://doi.org/10.1016/j.procs.2026.07.289"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.07.289","doi":"https://doi.org/10.1016/j.procs.2026.07.289","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.07.289","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050926025858/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencedirect.com/science/article/pii/S1877050926025858/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147416505","display_name":"Na Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Na Wang","raw_affiliation_strings":["School of Information Science and Technology, Bohai University, Jinzhou, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Bohai University, Jinzhou, Liaoning, China","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137449834","display_name":"Jinsong Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Li","raw_affiliation_strings":["School of Information Science and Technology, Bohai University, Jinzhou, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Bohai University, Jinzhou, Liaoning, China","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147464229","display_name":"Hongyan Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Liu","raw_affiliation_strings":["College of Economy, Bohai University, Jinzhou, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economy, Bohai University, Jinzhou, Liaoning, China","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112446581","display_name":"Minghai Yao","orcid":"https://orcid.org/0009-0003-3484-4244","observed_orcids":["https://orcid.org/0009-0003-3484-4244","https://orcid.org/0009-0008-3680-6563"]},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghai Yao","raw_affiliation_strings":["College of Economy, Bohai University, Jinzhou, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economy, Bohai University, Jinzhou, Liaoning, China","institution_ids":["https://openalex.org/I97009856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5147416505"],"corresponding_institution_ids":["https://openalex.org/I97009856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"285","issue":null,"first_page":"1121","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9994999766349792,"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":0.9994999766349792,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13929","display_name":"Educational Outcomes and Influences","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/academic-performance-prediction","display_name":"student performance prediction","score":0.9350000023841858},{"id":"https://openalex.org/keywords/multi-feature-fusion","display_name":"multi-feature fusion","score":0.9700000286102295},{"id":"https://openalex.org/keywords/social-factors-in-education","display_name":"social factors in education","score":0.8730000257492065},{"id":"https://openalex.org/keywords/educational-background","display_name":"educational background","score":0.7179999947547913},{"id":"https://openalex.org/keywords/study-habits","display_name":"study habits","score":0.968999981880188},{"id":"https://openalex.org/keywords/family-environment","display_name":"family environment","score":0.9990000128746033},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9269999861717224},{"id":"https://openalex.org/keywords/t-test-feature-selection","display_name":"t-test feature selection","score":0.8109999895095825},{"id":"https://openalex.org/keywords/sequential-forward-selection","display_name":"sequential forward selection","score":0.8069999814033508},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.7459999918937683},{"id":"https://openalex.org/keywords/educational-decision-making","display_name":"educational decision-making","score":0.8600000143051147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8648999929428101},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.72079998254776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6266999840736389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6018000245094299},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6014000177383423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5533000230789185},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.4693000018596649},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42719998955726624},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2986206625","wikidata":"https://www.wikidata.org/wiki/Q18185","display_name":"Student achievement","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.07.289","doi":"https://doi.org/10.1016/j.procs.2026.07.289","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.07.289","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050926025858/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.07.289","doi":"https://doi.org/10.1016/j.procs.2026.07.289","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.07.289","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050926025858/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8278999924659729,"display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7203836631.pdf","grobid_xml":"https://content.openalex.org/works/W7203836631.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W3092255774","https://openalex.org/W4308417361","https://openalex.org/W4386512180"],"related_works":["https://openalex.org/W7154733500","https://openalex.org/W4387490338","https://openalex.org/W4388952987","https://openalex.org/W4403208606","https://openalex.org/W3198557447","https://openalex.org/W7140275922","https://openalex.org/W4377247626","https://openalex.org/W7112307505","https://openalex.org/W7155379694","https://openalex.org/W4398229368"],"abstract_inverted_index":{"Student":[0],"achievement":[1,114],"prediction":[2,20,48,55],"can":[3],"effectively":[4],"provide":[5],"data":[6,118],"support":[7],"for":[8,14],"educational":[9,12,37],"reform":[10],"and":[11,16,41,90,107,124],"decision-making":[13],"students":[15],"parents.":[17],"Traditional":[18],"performance":[19,51,54],"methods":[21],"often":[22],"focus":[23],"on":[24,75,88],"single":[25],"factors":[26,34],"such":[27,35],"as":[28,36],"exam":[29],"scores,":[30],"without":[31],"considering":[32,64],"social":[33,68],"background,":[38],"study":[39],"habits,":[40],"family":[42],"environment.":[43],"In":[44],"order":[45],"to":[46],"reduce":[47],"of":[49,67,99,112,127],"student":[50],"prediction,":[52],"a":[53],"method":[56],"by":[57],"multi":[58],"feature":[59,84,100],"fusion":[60],"is":[61],"proposed,":[62],"fully":[63],"the":[65,76,97,109,113,122,128],"influence":[66],"factors.":[69],"Classification":[70],"predictions":[71],"were":[72],"made":[73],"based":[74,87],"differences":[77],"in":[78],"characteristics":[79],"among":[80],"different":[81,120],"groups.":[82],"The":[83],"selection":[85],"strategy":[86],"T-test":[89],"sequential":[91],"forward":[92],"search":[93],"not":[94],"only":[95],"reduces":[96],"dimensionality":[98],"data,":[101],"but":[102],"also":[103],"preserves":[104],"useful":[105],"information":[106],"improves":[108],"computational":[110,125],"efficiency":[111,126],"prediction.":[115],"By":[116],"analyzing":[117],"from":[119],"regions,":[121],"accuracy":[123],"algorithm":[129],"have":[130],"been":[131],"verified.":[132]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2026-08-21T00:00:00"}
