{"id":"https://openalex.org/W4395012452","doi":"https://doi.org/10.3390/data9040060","title":"Predicting Academic Success of College Students Using Machine Learning Techniques","display_name":"Predicting Academic Success of College Students Using Machine Learning Techniques","publication_year":2024,"publication_date":"2024-04-22","ids":{"openalex":"https://openalex.org/W4395012452","doi":"https://doi.org/10.3390/data9040060"},"language":"en","primary_location":{"id":"doi:10.3390/data9040060","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data9040060","pdf_url":"https://www.mdpi.com/2306-5729/9/4/60/pdf?version=1713794432","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2306-5729/9/4/60/pdf?version=1713794432","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089542011","display_name":"Jorge Humberto Guanin-Fajardo","orcid":"https://orcid.org/0000-0001-9150-4009"},"institutions":[{"id":"https://openalex.org/I92560967","display_name":"Universidad T\u00e9cnica Estatal de Quevedo","ror":"https://ror.org/05qrwjj27","country_code":"EC","type":"education","lineage":["https://openalex.org/I92560967"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Jorge Humberto Guanin-Fajardo","raw_affiliation_strings":["Facultad de Ciencias de la Ingenier\u00eda, Universidad T\u00e9cnica Estatal de Quevedo, Quevedo 120508, Ecuador"],"raw_orcid":"https://orcid.org/0000-0001-9150-4009","affiliations":[{"raw_affiliation_string":"Facultad de Ciencias de la Ingenier\u00eda, Universidad T\u00e9cnica Estatal de Quevedo, Quevedo 120508, Ecuador","institution_ids":["https://openalex.org/I92560967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032799757","display_name":"Javier Gua\u00f1a\u2013Moya","orcid":"https://orcid.org/0000-0003-4296-0299"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I39398033","display_name":"Pontificia Universidad Cat\u00f3lica del Ecuador","ror":"https://ror.org/02qztda51","country_code":"EC","type":"education","lineage":["https://openalex.org/I39398033"]}],"countries":["EC","ES"],"is_corresponding":true,"raw_author_name":"Javier Gua\u00f1a-Moya","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Pontificia Universidad Cat\u00f3lica del Ecuador, Quito 170525, Ecuador","Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0003-4296-0299","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Pontificia Universidad Cat\u00f3lica del Ecuador, Quito 170525, Ecuador","institution_ids":["https://openalex.org/I39398033"]},{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046510895","display_name":"Jorge Casillas","orcid":"https://orcid.org/0000-0002-5887-3977"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Casillas","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0002-5887-3977","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032799757"],"corresponding_institution_ids":["https://openalex.org/I173304897","https://openalex.org/I39398033"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":13.5954,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9873549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":"4","first_page":"60","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9990000128746033,"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":0.9990000128746033,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9747999906539917,"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/mathematics-education","display_name":"Mathematics education","score":0.6145268082618713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.509865403175354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4438367486000061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40882936120033264},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36785000562667847}],"concepts":[{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.6145268082618713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509865403175354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4438367486000061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40882936120033264},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36785000562667847}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/data9040060","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data9040060","pdf_url":"https://www.mdpi.com/2306-5729/9/4/60/pdf?version=1713794432","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:digibug.ugr.es:10481/93252","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/93252","pdf_url":"https://digibug.ugr.es/bitstream/10481/93252/1/data-09-00060-v2.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:ee16b8ebb4874accb5dffdc579df208b","is_oa":false,"landing_page_url":"https://doaj.org/article/ee16b8ebb4874accb5dffdc579df208b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 9, Iss 4, p 60 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/data9040060","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data9040060","pdf_url":"https://www.mdpi.com/2306-5729/9/4/60/pdf?version=1713794432","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4395012452.pdf"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W577421504","https://openalex.org/W1216451687","https://openalex.org/W1565746575","https://openalex.org/W1576442155","https://openalex.org/W1678356000","https://openalex.org/W1965436337","https://openalex.org/W1983479840","https://openalex.org/W2008056655","https://openalex.org/W2030360178","https://openalex.org/W2034223735","https://openalex.org/W2042685968","https://openalex.org/W2054717882","https://openalex.org/W2101234009","https://openalex.org/W2102831150","https://openalex.org/W2104167780","https://openalex.org/W2117283329","https://openalex.org/W2130072301","https://openalex.org/W2148143831","https://openalex.org/W2155653793","https://openalex.org/W2165885026","https://openalex.org/W2169284845","https://openalex.org/W2206299551","https://openalex.org/W2218710975","https://openalex.org/W2295598076","https://openalex.org/W2406762112","https://openalex.org/W2548653736","https://openalex.org/W2562319768","https://openalex.org/W2565044128","https://openalex.org/W2582904804","https://openalex.org/W2584256333","https://openalex.org/W2593875029","https://openalex.org/W2616541616","https://openalex.org/W2621114931","https://openalex.org/W2755371172","https://openalex.org/W2766296277","https://openalex.org/W2789526227","https://openalex.org/W2791257043","https://openalex.org/W2883757856","https://openalex.org/W2887592591","https://openalex.org/W2887783384","https://openalex.org/W2893802547","https://openalex.org/W2902553462","https://openalex.org/W2911964244","https://openalex.org/W2942097997","https://openalex.org/W2948009788","https://openalex.org/W2978811941","https://openalex.org/W2990742642","https://openalex.org/W3008915674","https://openalex.org/W3019390945","https://openalex.org/W3035776390","https://openalex.org/W3037176799","https://openalex.org/W3046873245","https://openalex.org/W3084378266","https://openalex.org/W3090209840","https://openalex.org/W3093878986","https://openalex.org/W3094241317","https://openalex.org/W3108883341","https://openalex.org/W3110432614","https://openalex.org/W3150202500","https://openalex.org/W3155259453","https://openalex.org/W3185225064","https://openalex.org/W3194635363","https://openalex.org/W4210246632","https://openalex.org/W4210464152","https://openalex.org/W4212883601","https://openalex.org/W4214807367","https://openalex.org/W4214821456","https://openalex.org/W4232953319","https://openalex.org/W4236137412","https://openalex.org/W4248846012","https://openalex.org/W4307948039","https://openalex.org/W4312634030","https://openalex.org/W4321441327","https://openalex.org/W4364351775","https://openalex.org/W4385505552","https://openalex.org/W4391543065","https://openalex.org/W6634357899","https://openalex.org/W6638064702","https://openalex.org/W6640945468","https://openalex.org/W6664464457","https://openalex.org/W6675354045","https://openalex.org/W6732976237","https://openalex.org/W6768168770","https://openalex.org/W6770823850","https://openalex.org/W6798946587","https://openalex.org/W6811515478","https://openalex.org/W6855135882","https://openalex.org/W6861702499"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"College":[0],"context":[1],"and":[2,40,72,84,89,94,119,148,159,174,196],"academic":[3,9,21,55,88],"performance":[4],"are":[5],"important":[6],"determinants":[7],"of":[8,26,81,110,124,139,152,176,183,201],"success;":[10],"using":[11,57],"students\u2019":[12],"prior":[13],"experience":[14],"with":[15,87,133],"machine":[16,59],"learning":[17],"techniques":[18,93],"to":[19,37,68,106,162,191],"predict":[20],"success":[22,56],"before":[23],"the":[24,27,75,102,108,111,128,143,146,172,177,180,187,193],"end":[25],"first":[28],"year":[29],"reinforces":[30],"college":[31,153,155],"self-efficacy.":[32],"Dropout":[33],"prediction":[34],"is":[35,50,165],"related":[36],"student":[38],"retention":[39],"has":[41],"been":[42],"studied":[43],"extensively":[44],"in":[45,136,145],"recent":[46],"work;":[47],"however,":[48],"there":[49],"little":[51],"literature":[52],"on":[53,202],"predicting":[54],"educational":[58],"learning.":[60],"For":[61],"this":[62,184],"reason,":[63],"CRISP-DM":[64],"methodology":[65],"was":[66,104,179],"applied":[67],"extract":[69],"relevant":[70],"knowledge":[71,195],"features":[73],"from":[74],"data.":[76],"The":[77,99],"dataset":[78],"examined":[79],"consists":[80],"6690":[82],"records":[83],"21":[85],"variables":[86],"socioeconomic":[90],"information.":[91],"Preprocessing":[92],"classification":[95],"algorithms":[96,178],"were":[97],"analyzed.":[98],"area":[100],"under":[101],"curve":[103],"used":[105],"measure":[107],"effectiveness":[109],"algorithm;":[112],"XGBoost":[113],"had":[114],"an":[115],"AUC":[116],"=":[117],"87.75%":[118],"correctly":[120],"classified":[121],"eight":[122],"out":[123,138],"ten":[125,134,140],"cases,":[126],"while":[127],"decision":[129,169],"tree":[130],"improved":[131],"interpretation":[132],"rules":[135],"seven":[137],"cases.":[141],"Recognizing":[142],"gaps":[144],"study":[147],"that":[149],"on-time":[150],"completion":[151],"consolidates":[154],"self-efficacy,":[156],"creating":[157],"intervention":[158],"support":[160],"strategies":[161],"retain":[163],"students":[164],"a":[166],"priority":[167],"for":[168],"makers.":[170],"Assessing":[171],"fairness":[173],"discrimination":[175],"main":[181],"limitation":[182],"work.":[185],"In":[186],"future,":[188],"we":[189],"intend":[190],"apply":[192],"extracted":[194],"learn":[197],"about":[198],"its":[199],"influence":[200],"university":[203],"management.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}