{"id":"https://openalex.org/W4246766884","doi":"https://doi.org/10.1109/fie.2018.8658760","title":"Feature extraction and classification of learners using neural networks","display_name":"Feature extraction and classification of learners using neural networks","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W4246766884","doi":"https://doi.org/10.1109/fie.2018.8658760"},"language":"en","primary_location":{"id":"doi:10.1109/fie.2018.8658760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie.2018.8658760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Frontiers in Education Conference (FIE)","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/A5037043794","display_name":"Tomohiro Hayashida","orcid":"https://orcid.org/0000-0003-4476-7468"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Hayashida","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070300491","display_name":"Toru Yamamoto","orcid":"https://orcid.org/0000-0001-6500-8394"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Yamamoto","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071520440","display_name":"Shin Wakitani","orcid":"https://orcid.org/0000-0002-3850-3864"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Wakitani","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039158867","display_name":"Ichiro Nishizaki","orcid":"https://orcid.org/0000-0002-0060-4360"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ichiro Nishizaki","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029138417","display_name":"Shinya Sekizaki","orcid":"https://orcid.org/0000-0002-8493-7700"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinya Sekizaki","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077599031","display_name":"Yusuke Tanimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Tanimoto","raw_affiliation_strings":["Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Hiroshima University, Higashihiroshima, JAPAN","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76237918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"134","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9713000059127808,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9384999871253967,"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/computer-science","display_name":"Computer science","score":0.7648879885673523},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7346653342247009},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6029402017593384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945882797241211},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5379787683486938},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.48447275161743164},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43896040320396423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7648879885673523},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7346653342247009},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6029402017593384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945882797241211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5379787683486938},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.48447275161743164},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43896040320396423},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fie.2018.8658760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie.2018.8658760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"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":6,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2088395092","https://openalex.org/W2121970262","https://openalex.org/W2490943953","https://openalex.org/W2548421788","https://openalex.org/W6672402792"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2043960970","https://openalex.org/W2049538278"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,11,17,30,142,165,194],"this":[3,41,98],"study":[4,99,136],"is":[5,62,71,111,188,213],"to":[6,35,89,113,215,218],"predict":[7,189],"the":[8,15,31,43,54,57,93,162,163,185,190,203],"achievement":[9,180],"degree":[10,29,193],"each":[12],"student":[13,102,128,158],"at":[14],"end":[16],"a":[18,22,38,64,122,143,150,155,195,209],"lecture,":[19],"based":[20,104,160,178],"on":[21,105,161,179],"simple":[23],"questionnaire":[24,107,147],"result":[25],"which":[26,61],"regularly":[27],"surveys":[28,148],"subjective":[32],"understanding":[33],"conducted":[34],"students":[36,204],"in":[37,97,118,131,171,225],"class.":[39],"In":[40],"study,":[42],"feedforward":[44],"neural":[45],"networks":[46],"(FNNs)":[47],"and":[48,56,67,149,153],"decision":[49,123],"tree":[50,124],"are":[51,87,206],"used":[52],"for":[53,79,92,157,202,221],"prediction":[55,82],"classification.":[58,84],"A":[59],"FNN":[60],"with":[63,96],"multiple":[65,68,106],"input":[66],"output":[69],"structure":[70],"well":[72],"known":[73],"that":[74,101,125,184],"it":[75,110,212],"has":[76,169],"high":[77],"performance":[78],"multidimensional":[80],"data":[81,141],"or":[83],"Therefore,":[85],"FNNs":[86],"considered":[88],"be":[90,216],"suitable":[91],"problem":[94],"dealt":[95],"such":[100],"classification":[103,129,144,159],"results.":[108],"Additionally,":[109],"possible":[112],"analyze":[114],"students'":[115],"learning":[116],"process":[117],"detail":[119],"by":[120,198],"using":[121,140],"can":[126],"obtain":[127],"rules":[130],"an":[132,138],"explicit":[133],"form.":[134],"This":[135],"conducts":[137],"experiment":[139],"six":[145],"times":[146],"final":[151],"examination":[152],"constructed":[154],"system":[156],"answers":[164],"three":[166,176],"questionnaire.":[167],"Experiment":[168],"succeeded":[170],"roughly":[172],"classifying":[173],"learners":[174],"into":[175],"clusters":[177],"degree.":[181],"It":[182],"means":[183],"proposed":[186],"method":[187],"potential":[191],"comprehension":[192],"student.":[196],"Sequentially,":[197],"providing":[199],"additional":[200],"education":[201],"who":[205],"classified":[207],"as":[208],"low":[210],"degree,":[211],"expected":[214],"able":[217],"take":[219],"countermeasures":[220],"not":[222],"becoming":[223],"\u201cdropout\u201d":[224],"early":[226],"stage.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}