{"id":"https://openalex.org/W2592949236","doi":"https://doi.org/10.1145/3027385.3029479","title":"A neural network approach for students' performance prediction","display_name":"A neural network approach for students' performance prediction","publication_year":2017,"publication_date":"2017-02-27","ids":{"openalex":"https://openalex.org/W2592949236","doi":"https://doi.org/10.1145/3027385.3029479","mag":"2592949236"},"language":"en","primary_location":{"id":"doi:10.1145/3027385.3029479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3027385.3029479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh International Learning Analytics & Knowledge Conference","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/A5039581358","display_name":"Fumiya Okubo","orcid":"https://orcid.org/0000-0002-0077-9072"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"F. Okubo","raw_affiliation_strings":["Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062009349","display_name":"Takayoshi Yamashita","orcid":"https://orcid.org/0000-0003-2631-9856"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Yamashita","raw_affiliation_strings":["Chubu University, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046057343","display_name":"Atsushi Shimada","orcid":"https://orcid.org/0000-0002-3635-9336"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Shimada","raw_affiliation_strings":["Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079543720","display_name":"Hiroaki Ogata","orcid":"https://orcid.org/0000-0001-5216-1576"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Ogata","raw_affiliation_strings":["Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039581358"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":22.9505,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.99465788,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"598","last_page":"599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9987999796867371,"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":0.9987999796867371,"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":0.96670001745224,"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":0.958299994468689,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7846171855926514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7305508852005005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7122081518173218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6031527519226074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5497135519981384},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5459507703781128},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4860006272792816},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.41828009486198425},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34390532970428467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2198534607887268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11177027225494385}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7846171855926514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7305508852005005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7122081518173218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6031527519226074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5497135519981384},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5459507703781128},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4860006272792816},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.41828009486198425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34390532970428467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2198534607887268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11177027225494385}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3027385.3029479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3027385.3029479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh International Learning Analytics & Knowledge Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2109534980","https://openalex.org/W2145399247","https://openalex.org/W2183210442","https://openalex.org/W2292896937","https://openalex.org/W2576758031","https://openalex.org/W2741755666","https://openalex.org/W2809875736","https://openalex.org/W2949590893"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W1969346022","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W1995617853"],"abstract_inverted_index":{"In":[0],"this":[1,30],"paper,":[2],"we":[3],"propose":[4],"a":[5,14],"method":[6,31],"for":[7],"predicting":[8],"final":[9,66],"grades":[10],"of":[11,43,65],"students":[12,38],"by":[13],"Recurrent":[15],"Neural":[16],"Network":[17],"(RNN)":[18],"from":[19,36],"the":[20,25,33,41,46],"log":[21,34],"data":[22,35],"stored":[23],"in":[24],"educational":[26],"systems.":[27],"We":[28],"applied":[29],"to":[32,62],"108":[37],"and":[39],"examined":[40],"accuracy":[42],"prediction.":[44],"From":[45],"experimental":[47],"results,":[48],"comparing":[49],"with":[50],"multiple":[51],"regression":[52],"analysis,":[53],"it":[54],"is":[55,60],"confirmed":[56],"that":[57],"an":[58],"RNN":[59],"effective":[61],"early":[63],"prediction":[64],"grades.":[67]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":40},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}