{"id":"https://openalex.org/W3083837173","doi":"https://doi.org/10.3233/jifs-189216","title":"Diagnostic evaluation model of English learning based on machine learning","display_name":"Diagnostic evaluation model of English learning based on machine learning","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3083837173","doi":"https://doi.org/10.3233/jifs-189216","mag":"3083837173"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-189216","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189216","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5101602826","display_name":"Yuanyuan Chen","orcid":"https://orcid.org/0000-0002-2009-226X"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Chen","raw_affiliation_strings":["Huaxin College Of Hebei GEO University, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Huaxin College Of Hebei GEO University, Shijiazhuang, Hebei, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328995","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-3512-0649"},"institutions":[{"id":"https://openalex.org/I95946905","display_name":"Hebei GEO University","ror":"https://ror.org/013x4kb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I95946905"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["Huaxin College Of Hebei GEO University, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Huaxin College Of Hebei GEO University, Shijiazhuang, Hebei, China","institution_ids":["https://openalex.org/I95946905"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011148417","display_name":"Xiaohui Du","orcid":"https://orcid.org/0000-0001-5553-4294"},"institutions":[{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohui Du","raw_affiliation_strings":["Department of Tourism, College of Preschool Education, Hebei Normal University, Shijiazhuang, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Department of Tourism, College of Preschool Education, Hebei Normal University, Shijiazhuang, Hebei, China","institution_ids":["https://openalex.org/I94611258"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011148417"],"corresponding_institution_ids":["https://openalex.org/I94611258"],"apc_list":null,"apc_paid":null,"fwci":0.9279,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80546367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"2","first_page":"2169","last_page":"2179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.9969000220298767,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.9969000220298767,"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/T13647","display_name":"AI and Big Data Applications","score":0.9829000234603882,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9674999713897705,"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/computer-science","display_name":"Computer science","score":0.7599300146102905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7209067940711975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7119204998016357},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5480043888092041},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5167986154556274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599300146102905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7209067940711975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7119204998016357},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5480043888092041},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5167986154556274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-189216","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189216","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2072858001","https://openalex.org/W2106070678","https://openalex.org/W2117067948","https://openalex.org/W2182574789","https://openalex.org/W2216762612","https://openalex.org/W2243463457","https://openalex.org/W2293460663","https://openalex.org/W2405006187","https://openalex.org/W2460369835","https://openalex.org/W2484256001","https://openalex.org/W2492755732","https://openalex.org/W2518987064","https://openalex.org/W2519685531","https://openalex.org/W2587971468","https://openalex.org/W2592388648","https://openalex.org/W2618368454","https://openalex.org/W2618816403","https://openalex.org/W2619754894","https://openalex.org/W2749280215","https://openalex.org/W2771112934","https://openalex.org/W2775280082","https://openalex.org/W2798514748","https://openalex.org/W2805490483","https://openalex.org/W2942234392","https://openalex.org/W3008779238","https://openalex.org/W3015072407","https://openalex.org/W6677546885","https://openalex.org/W6722220753","https://openalex.org/W6738550009","https://openalex.org/W6751053413","https://openalex.org/W6761418643"],"related_works":["https://openalex.org/W3210877509","https://openalex.org/W1470425429","https://openalex.org/W4283016678","https://openalex.org/W4249746146","https://openalex.org/W4318350883","https://openalex.org/W4205958290","https://openalex.org/W3200719183","https://openalex.org/W4205478082","https://openalex.org/W4306321456","https://openalex.org/W4200196661"],"abstract_inverted_index":{"The":[0,95,130],"diagnostic":[1,19,58,93,96],"evaluation":[2,20,54,59,97],"model":[3,60,98],"of":[4,22,39,52,61,74,99],"English":[5,23,30,40,53,62,100,114],"learning":[6,24,31,45,63],"is":[7],"difficult":[8,26],"to":[9,27,29,35,55],"judge":[10],"the":[11,37,50,72,89,110,121,135],"subjective":[12],"factors":[13],"in":[14,103,112,124,138],"student":[15],"learning,":[16,41],"so":[17],"some":[18],"models":[21],"are":[25],"apply":[28],"practice.":[32],"In":[33,116],"order":[34],"improve":[36],"effect":[38],"based":[42,64],"on":[43,65],"machine":[44,66],"technology,":[46],"this":[47,69,104,118,125,139],"study":[48,70,119,126,140],"combines":[49],"needs":[51],"build":[56],"a":[57,142],"learning.":[67,115],"Moreover,":[68],"compares":[71],"methods":[73,122],"random":[75],"forest,":[76],"Bayesian":[77],"network,":[78],"decision":[79],"tree,":[80],"perceptron,":[81],"K-nearest":[82],"neighbor":[83],"and":[84,87,108],"multi-model":[85],"fusion,":[86],"selects":[88],"best":[90],"algorithm":[91],"for":[92],"analysis.":[94],"studies":[101],"constructed":[102],"paper":[105],"mainly":[106],"evaluates":[107],"judges":[109],"errors":[111],"students\u2019":[113],"addition,":[117],"validates":[120],"proposed":[123,137],"through":[127],"controlled":[128],"experiments.":[129],"research":[131],"results":[132],"show":[133],"that":[134],"method":[136],"has":[141],"certain":[143],"effect.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}