{"id":"https://openalex.org/W7127048540","doi":"https://doi.org/10.1007/978-3-032-08859-8_13","title":"Predicting Student Academic Outcomes Using Machine Learning and Deep Learning Approaches","display_name":"Predicting Student Academic Outcomes Using Machine Learning and Deep Learning Approaches","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7127048540","doi":"https://doi.org/10.1007/978-3-032-08859-8_13"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-08859-8_13","doi":"https://doi.org/10.1007/978-3-032-08859-8_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-08859-8_13","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3389","issn":["2367-3389","2367-3370"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"parent_works":[{"id":"https://openalex.org/W7127055069","display_name":"Proceedings of Data Analytics and Management: ICDAM 2025, Volume 10","relationship":"volume"}],"lineage":["https://openalex.org/W7127048540","https://openalex.org/W7127055069"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5124713574","display_name":"Ravan Rathore","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ravan Rathore","raw_affiliation_strings":["Department of Computer Science & Engineering, Eshan College of Engineering, Mathura, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Eshan College of Engineering, Mathura, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014222348","display_name":"Vyom Kulshreshtha","orcid":"https://orcid.org/0000-0002-5407-8431","observed_orcids":["https://orcid.org/0000-0002-5407-8431"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vyom Kulshreshtha","raw_affiliation_strings":["Department of Computer Science & Engineering, Eshan College of Engineering, Mathura, India"],"raw_orcid":"https://orcid.org/0000-0002-5407-8431","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Eshan College of Engineering, Mathura, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5124713574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":null,"issue":null,"first_page":"174","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":1.0,"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":1.0,"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":0.0,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.0,"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/at-risk-student-identification","display_name":"at-risk student identification","score":0.7139999866485596},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"educational data mining","score":0.765999972820282},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.8659999966621399},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9789999723434448},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.828000009059906},{"id":"https://openalex.org/keywords/recursive-feature-elimination","display_name":"recursive feature elimination","score":0.9990000128746033},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.8270000219345093},{"id":"https://openalex.org/keywords/student-retention","display_name":"student retention","score":0.30799999833106995}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8203999996185303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8116999864578247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897000074386597},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.657800018787384},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5989000201225281},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5942999720573425},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5669999718666077},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.48570001125335693},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46810001134872437},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2793000042438507},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2590000033378601},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-08859-8_13","doi":"https://doi.org/10.1007/978-3-032-08859-8_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-08859-8_13","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3389","issn":["2367-3389","2367-3370"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.975600004196167,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2257307118","https://openalex.org/W2979647730","https://openalex.org/W3005006660","https://openalex.org/W3040010078","https://openalex.org/W3045509030","https://openalex.org/W3089786933","https://openalex.org/W3111299748","https://openalex.org/W3118164373","https://openalex.org/W3169552150","https://openalex.org/W3171408957","https://openalex.org/W3173372706","https://openalex.org/W3201153983","https://openalex.org/W3205451405","https://openalex.org/W3208482597","https://openalex.org/W3215115644","https://openalex.org/W4200246656","https://openalex.org/W4214821456","https://openalex.org/W4214948395","https://openalex.org/W4221046698","https://openalex.org/W4225533609","https://openalex.org/W4280592718","https://openalex.org/W4280629584","https://openalex.org/W4281783320","https://openalex.org/W4282020161","https://openalex.org/W4284963503","https://openalex.org/W4289912996","https://openalex.org/W4290044378","https://openalex.org/W4293168492","https://openalex.org/W4294990526","https://openalex.org/W4312853296","https://openalex.org/W4319264752","https://openalex.org/W4387808640","https://openalex.org/W4392234077","https://openalex.org/W4396969205","https://openalex.org/W4400420983","https://openalex.org/W4402106715","https://openalex.org/W4404969953","https://openalex.org/W4406793986","https://openalex.org/W4407808094","https://openalex.org/W6959874960"],"related_works":["https://openalex.org/W4411717464","https://openalex.org/W4411380002","https://openalex.org/W7164661439","https://openalex.org/W4415153137","https://openalex.org/W4414870210","https://openalex.org/W7164880723","https://openalex.org/W7103750249","https://openalex.org/W7161704034","https://openalex.org/W4412824555","https://openalex.org/W7131132649"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2026-02-03T00:00:00"}
