{"id":"https://openalex.org/W4396605083","doi":"https://doi.org/10.1109/tkde.2024.3393472","title":"A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction","display_name":"A Feature Importance-Based Multi-Layer CatBoost for Student Performance Prediction","publication_year":2024,"publication_date":"2024-05-03","ids":{"openalex":"https://openalex.org/W4396605083","doi":"https://doi.org/10.1109/tkde.2024.3393472"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3393472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3393472","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5025410544","display_name":"Zongwen Fan","orcid":"https://orcid.org/0000-0002-7818-5637"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwen Fan","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-7818-5637","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102974560","display_name":"Jin Gou","orcid":"https://orcid.org/0000-0001-6873-6389"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Gou","raw_affiliation_strings":["College of Computer Science and Technology, Huaqiao University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6873-6389","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020016682","display_name":"Shaoyuan Weng","orcid":"https://orcid.org/0000-0003-3644-8029"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyuan Weng","raw_affiliation_strings":["Xiamen Institute of Software Technology, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-3644-8029","affiliations":[{"raw_affiliation_string":"Xiamen Institute of Software Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142","https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.8584,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.984678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"36","issue":"11","first_page":"5495","last_page":"5507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9914000034332275,"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":0.9914000034332275,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9678999781608582,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8263502717018127},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6353963017463684},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6323894262313843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5135062336921692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3664449453353882},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32866013050079346}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8263502717018127},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6353963017463684},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6323894262313843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5135062336921692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3664449453353882},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32866013050079346},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3393472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3393472","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2015040676","https://openalex.org/W2202834821","https://openalex.org/W2250880511","https://openalex.org/W2342637743","https://openalex.org/W2343230623","https://openalex.org/W2612657834","https://openalex.org/W2811374032","https://openalex.org/W2893802547","https://openalex.org/W2955931418","https://openalex.org/W3000065748","https://openalex.org/W3013452367","https://openalex.org/W3019040395","https://openalex.org/W3034368676","https://openalex.org/W3089786933","https://openalex.org/W3161224560","https://openalex.org/W3166002592","https://openalex.org/W3208090188","https://openalex.org/W4220858494","https://openalex.org/W4226305084","https://openalex.org/W4281747684","https://openalex.org/W4285388004","https://openalex.org/W4302293024","https://openalex.org/W4306317419","https://openalex.org/W4317233757","https://openalex.org/W4319072881","https://openalex.org/W4323849303","https://openalex.org/W4367179072","https://openalex.org/W4381930452","https://openalex.org/W4385657832","https://openalex.org/W4391164119","https://openalex.org/W4398917608","https://openalex.org/W6766624007"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Student":[0],"performance":[1],"prediction":[2],"is":[3,39,98,133],"vital":[4],"for":[5],"identifying":[6],"at-risk":[7],"students":[8],"and":[9,59,174],"providing":[10],"support":[11],"to":[12,28,40,85,100,106,123],"help":[13,193],"them":[14],"succeed":[15],"academically.":[16],"In":[17,64],"this":[18,95],"paper,":[19],"we":[20],"propose":[21],"a":[22,42,76,102,114],"feature":[23,54,103,108,120],"importance-based":[24],"multi-layer":[25,43,180],"CatBoost":[26,97,126],"approach":[27],"predict":[29],"the":[30,34,53,69,87,92,107,125,128,137,145,149,153,163,171,176,179,184],"students'":[31],"grade":[32],"in":[33,61,127,182,196],"period":[35],"exam.":[36],"The":[37,141],"idea":[38],"construct":[41,86],"structure":[44,181],"with":[45,68,110],"increasingly":[46],"important":[47],"features":[48,67,82,138],"layer":[49,89],"by":[50,90],"layer.":[51,130],"Specifically,":[52],"importance":[55,71,112],"are":[56,72,83,121,139],"first":[57,88],"calculated":[58],"sorted":[60],"ascending":[62],"order.":[63],"each":[65],"layer,":[66],"least":[70],"accumulated":[73],"until":[74,135],"reaching":[75],"given":[77],"threshold.":[78,115],"Then,":[79],"these":[80,119],"selected":[81],"used":[84,122],"training":[91],"CatBoost.":[93],"Next,":[94],"trained":[96],"utilized":[99],"generate":[101],"that":[104,144],"adds":[105],"set":[109],"their":[111],"within":[113],"After":[116],"that,":[117],"all":[118,136],"train":[124],"next":[129],"This":[131,187],"process":[132],"repeated":[134],"used.":[140],"results":[142],"show":[143],"proposed":[146,168,185,190],"model":[147,169,191],"has":[148],"best":[150],"performance.":[151],"Moreover,":[152],"statistical":[154],"test":[155],"conducted":[156],"based":[157],"on":[158],"20-runs":[159],"of":[160,166,178],"experiments":[161],"validates":[162],"significant":[164],"superiority":[165],"our":[167,189],"over":[170],"compared":[172],"models":[173],"demonstrates":[175],"efficacy":[177],"enhancing":[183,197],"model.":[186],"indicates":[188],"can":[192],"decision":[194],"makers":[195],"educational":[198],"quality.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}