{"id":"https://openalex.org/W4408717417","doi":"https://doi.org/10.1109/iceed62316.2024.10923823","title":"Comparative Evaluation of Feature Selection Algorithms for Predictive Modeling of Academic Performance Outcomes","display_name":"Comparative Evaluation of Feature Selection Algorithms for Predictive Modeling of Academic Performance Outcomes","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4408717417","doi":"https://doi.org/10.1109/iceed62316.2024.10923823"},"language":"en","primary_location":{"id":"doi:10.1109/iceed62316.2024.10923823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceed62316.2024.10923823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th International Conference on Engineering Education (ICEED)","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/A5110527584","display_name":"Fairul Nazmie Osman","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Fairul Nazmie Osman","raw_affiliation_strings":["College of Engineering, Universiti Teknologi MARA,Shah Alam,Malaysia"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Universiti Teknologi MARA,Shah Alam,Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059559717","display_name":"Mohd Azri Abdul Aziz","orcid":"https://orcid.org/0000-0001-6679-039X"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Azri Abdul Aziz","raw_affiliation_strings":["College of Engineering, Universiti Teknologi MARA,Shah Alam,Malaysia"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Universiti Teknologi MARA,Shah Alam,Malaysia","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059748399","display_name":"Mohd Nasir Taib","orcid":"https://orcid.org/0000-0003-1050-3341"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Nasir Taib","raw_affiliation_strings":["College of Engineering, Universiti Teknologi MARA,Shah Alam,Malaysia"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Universiti Teknologi MARA,Shah Alam,Malaysia","institution_ids":["https://openalex.org/I82724352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110527584"],"corresponding_institution_ids":["https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29790963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9314000010490417,"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":0.9314000010490417,"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":0.9021999835968018,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7536557912826538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7302714586257935},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5762252807617188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5185821056365967},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4959193170070648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4604395627975464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39451825618743896},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3296854496002197}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7536557912826538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302714586257935},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5762252807617188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5185821056365967},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4959193170070648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4604395627975464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39451825618743896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3296854496002197},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceed62316.2024.10923823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceed62316.2024.10923823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th International Conference on Engineering Education (ICEED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1966716734","https://openalex.org/W2182436675","https://openalex.org/W2607458472","https://openalex.org/W2905605644","https://openalex.org/W2981848724","https://openalex.org/W2982623704","https://openalex.org/W3209461179","https://openalex.org/W3209743817","https://openalex.org/W4286434150","https://openalex.org/W4286436713","https://openalex.org/W4295211221","https://openalex.org/W4298621008","https://openalex.org/W4382701299","https://openalex.org/W4386324507","https://openalex.org/W4387950605","https://openalex.org/W4390006944"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0,119],"paper":[1],"explores":[2],"the":[3,46,51,88,123,134],"application":[4],"of":[5,90,115,137],"various":[6],"feature":[7,82,138],"selection":[8,83,139],"methods":[9,30,106],"in":[10,96,113,140,148],"predictive":[11,142],"modeling":[12],"for":[13],"academic":[14],"performance,":[15],"with":[16,104],"a":[17,56],"focus":[18],"on":[19,126],"machine":[20],"learning":[21],"techniques":[22],"which":[23],"is":[24],"Multi-Layer":[25],"Perceptron":[26],"(MLP).":[27],"By":[28],"employing":[29],"such":[31],"as":[32],"RFEMutual":[33],"Information,":[34],"Random":[35],"Forest":[36],"Importance,":[37,39],"XGBoost":[38],"and":[40,74,93,117,144],"L1":[41,94],"Regularization":[42],"Lasso":[43,95],"(L1":[44],"Lasso),":[45],"study":[47,120],"aims":[48],"to":[49,62,76,111,122],"identify":[50],"most":[52],"relevant":[53],"features":[54,60],"from":[55],"dataset":[57],"comprising":[58],"12":[59],"related":[61],"student":[63],"online":[64],"engagement.":[65],"The":[66,85],"models":[67],"were":[68],"evaluated":[69],"using":[70],"accuracy,":[71],"precision,":[72],"recall,":[73],"F1-score":[75],"assess":[77],"their":[78],"comparative":[79],"effectiveness":[80,89],"across":[81],"methods.":[84],"results":[86,109],"highlight":[87],"RFE":[91],"Ranking":[92],"achieving":[97],"balanced":[98],"model":[99],"performance":[100],"while":[101],"reducing":[102],"dimensionality,":[103],"these":[105],"showing":[107],"superior":[108],"compared":[110],"others":[112],"terms":[114],"generalizability":[116],"robustness.":[118],"contributes":[121],"ongoing":[124],"discourse":[125],"educational":[127,149],"data":[128],"mining":[129],"by":[130],"offering":[131],"insights":[132],"into":[133],"practical":[135],"implications":[136],"enhancing":[141],"accuracy":[143],"guiding":[145],"data-driven":[146],"decision-making":[147],"settings.":[150]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
