{"id":"https://openalex.org/W7155359979","doi":"https://doi.org/10.1145/3797552.3797777","title":"A Study on Predicting and Analyzing Student Mathematics Course Grades Using a BP Neural Network","display_name":"A Study on Predicting and Analyzing Student Mathematics Course Grades Using a BP Neural Network","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7155359979","doi":"https://doi.org/10.1145/3797552.3797777"},"language":null,"primary_location":{"id":"doi:10.1145/3797552.3797777","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797552.3797777","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3797552.3797777","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134406802","display_name":"Liting Fan","orcid":"https://orcid.org/0009-0000-3060-4364"},"institutions":[{"id":"https://openalex.org/I4210113439","display_name":"Baotou Teachers College","ror":"https://ror.org/01xa88s20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113439"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liting Fan","raw_affiliation_strings":["Baotou Iron and Steel Vocational and Technical College, Baotou, Inner Mongolia Autonomous Region, China,"],"raw_orcid":"https://orcid.org/0009-0000-3060-4364","affiliations":[{"raw_affiliation_string":"Baotou Iron and Steel Vocational and Technical College, Baotou, Inner Mongolia Autonomous Region, China,","institution_ids":["https://openalex.org/I4210113439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5134406802"],"corresponding_institution_ids":["https://openalex.org/I4210113439"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1417","last_page":"1422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.3124000132083893,"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":0.3124000132083893,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.08569999784231186,"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"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.06790000200271606,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6947000026702881},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5281000137329102},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4593999981880188},{"id":"https://openalex.org/keywords/course","display_name":"Course (navigation)","score":0.41600000858306885},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.39590001106262207},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3716999888420105},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.3490999937057495},{"id":"https://openalex.org/keywords/error-analysis","display_name":"Error analysis","score":0.3353999853134155}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6947000026702881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598999857902527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5593000054359436},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5105000138282776},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4593999981880188},{"id":"https://openalex.org/C2777552389","wikidata":"https://www.wikidata.org/wiki/Q1962728","display_name":"Course (navigation)","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C2779336797","wikidata":"https://www.wikidata.org/wiki/Q3055492","display_name":"Intelligent tutoring system","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29350000619888306},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3797552.3797777","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797552.3797777","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3797552.3797777","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3797552.3797777","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7196550369262695}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3010689236","https://openalex.org/W3127587636","https://openalex.org/W4289342244","https://openalex.org/W4296817702","https://openalex.org/W4366133633"],"related_works":[],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2,16,53],"accuracy":[3],"of":[4,42,52,74,80,99],"predicting":[5],"student":[6,87],"mathematics":[7],"course":[8],"performance,":[9],"a":[10,93],"nonlinear":[11],"mapping":[12],"model":[13,38,54,65],"based":[14],"on":[15],"BP":[17],"neural":[18],"network":[19],"was":[20],"constructed.":[21],"By":[22],"normalizing":[23],"and":[24,35,48,69,78],"selecting":[25],"features":[26,51],"from":[27],"multiple":[28],"dimensions\u2014including":[29],"learning":[30,43,88],"behavior,":[31],"homework":[32],"completion":[33],"rates,":[34],"test":[36],"scores\u2014the":[37],"achieves":[39],"dynamic":[40],"modeling":[41],"performance.":[44],"The":[45],"convergence":[46],"characteristics":[47],"error":[49,77],"distribution":[50],"under":[55],"different":[56],"training":[57],"parameters":[58],"were":[59],"analyzed.":[60],"Results":[61],"indicate":[62],"that":[63],"this":[64],"outperforms":[66],"traditional":[67],"regression":[68],"ensemble":[70],"algorithms":[71],"in":[72],"terms":[73],"mean":[75],"squared":[76],"coefficient":[79],"determination,":[81],"effectively":[82],"capturing":[83],"complex":[84],"correlations":[85],"among":[86],"characteristics.":[89],"This":[90],"approach":[91],"provides":[92],"viable":[94],"pathway":[95],"for":[96],"intelligent":[97],"analysis":[98],"educational":[100],"data.":[101]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-24T00:00:00"}
