{"id":"https://openalex.org/W4200531827","doi":"https://doi.org/10.1155/2021/6232987","title":"Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm","display_name":"Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4200531827","doi":"https://doi.org/10.1155/2021/6232987","pmid":"https://pubmed.ncbi.nlm.nih.gov/34956351"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6232987","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6232987","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6232987.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/6232987.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101551537","display_name":"Fang Wang","orcid":"https://orcid.org/0000-0002-1126-252X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fang Wang","raw_affiliation_strings":["Jiangsu Lianyungang Higher Vocational and Technical School of Traditional Chinese Medicine, Lianyungang, Jiangsu 222007, China","Jiangsu Lianyungang Higher Vocational and Technical School of Traditional Chinese Medicine, Lianyungang, Jiangsu 222007"],"affiliations":[{"raw_affiliation_string":"Jiangsu Lianyungang Higher Vocational and Technical School of Traditional Chinese Medicine, Lianyungang, Jiangsu 222007, China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Lianyungang Higher Vocational and Technical School of Traditional Chinese Medicine, Lianyungang, Jiangsu 222007","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101551537"],"corresponding_institution_ids":[],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.2799,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65928982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2021","issue":"1","first_page":"6232987","last_page":"6232987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.9775000214576721,"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":0.9775000214576721,"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":0.9383000135421753,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9031000137329102,"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":0.6312065124511719},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5342231392860413},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5174925327301025},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4105831980705261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3304125666618347},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.27755844593048096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15888038277626038},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09902217984199524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6312065124511719},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5342231392860413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5174925327301025},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4105831980705261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3304125666618347},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.27755844593048096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15888038277626038},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09902217984199524},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006126","descriptor_name":"Group Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006126","descriptor_name":"Group Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006126","descriptor_name":"Group Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013334","descriptor_name":"Students","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013334","descriptor_name":"Students","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013334","descriptor_name":"Students","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/6232987","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6232987","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6232987.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34956351","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34956351","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:cb4661350d694a129acad03552d23f50","is_oa":true,"landing_page_url":"https://doaj.org/article/cb4661350d694a129acad03552d23f50","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8702350","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8702350","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/6232987","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6232987","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/6232987.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200531827.pdf","grobid_xml":"https://content.openalex.org/works/W4200531827.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2980759501","https://openalex.org/W2989644209","https://openalex.org/W2997455317","https://openalex.org/W3001767870","https://openalex.org/W3004231607","https://openalex.org/W3005006413","https://openalex.org/W3006337069","https://openalex.org/W3006988731","https://openalex.org/W3022935508","https://openalex.org/W3025850044","https://openalex.org/W3036700357","https://openalex.org/W3037312783","https://openalex.org/W3049198385","https://openalex.org/W3081095512","https://openalex.org/W3081550521","https://openalex.org/W3090363550","https://openalex.org/W3099388155","https://openalex.org/W3119075751","https://openalex.org/W3135231128","https://openalex.org/W3139441236","https://openalex.org/W3148181069"],"related_works":["https://openalex.org/W4366549320","https://openalex.org/W4287863136","https://openalex.org/W3006015132","https://openalex.org/W2965078190","https://openalex.org/W2140656843","https://openalex.org/W3040644038","https://openalex.org/W4394870774","https://openalex.org/W4311207076","https://openalex.org/W3203633096","https://openalex.org/W2355226480"],"abstract_inverted_index":{"This":[0,254],"paper":[1],"uses":[2,24],"an":[3,12,18],"improved":[4],"multiorganizational":[5],"particle":[6,284,297,360],"population":[7],"optimization":[8],"algorithm":[9,383],"to":[10,66,87,111,131,298,376,378],"conduct":[11],"in-depth":[13],"analysis":[14],"and":[15,23,92,99,116,136,178,188,194,224,235,238,244,252,343],"study":[16],"of":[17,43,48,58,62,70,73,79,83,96,107,123,127,141,148,175,181,184,191,197,271,290,295,302,324,337,339,346],"online":[19],"English":[20,162,182,226],"teaching":[21,50,161,212],"model":[22,27,32,47,90,115,135,159,213],"the":[25,40,59,68,74,76,80,89,94,97,100,104,113,118,124,133,138,142,145,173,176,185,189,192,198,201,208,261,268,291,296,299,303,314,322,325,329,335,340,344,354,382],"altered":[26],"for":[28,39,160,282],"practical":[29],"applications.":[30],"The":[31,55,120,274],"building":[33],"elements":[34],"are":[35,264],"extracted":[36],"from":[37,287,362],"it":[38,319,365,371],"initial":[41],"construction":[42],"a":[44,154,164,279,367],"blended":[45,157,209],"learning":[46,158,220,248,256,276,280,286,309,315,331,341,356],"English-speaking":[49],"in":[51,103,167,219],"junior":[52,168],"high":[53,169],"school.":[54,170],"main":[56,77,101,121],"purpose":[57,78,102,122],"first":[60],"round":[61,82,106,126],"action":[63,84,108,128,149],"research":[64,85,109,129],"is":[65,86,110,130,310],"test":[67,112,132],"rationality":[69],"each":[71,283,288,359],"element":[72],"model,":[75,98],"second":[81],"refine":[88],"links":[91],"improve":[93,216,321],"operability":[95],"third":[105,125],"perfected":[114],"explore":[117,137],"model.":[119,143],"refined":[134],"application":[139],"suggestions":[140],"After":[144],"three":[146],"rounds":[147],"research,":[150],"we":[151],"finally":[152],"obtained":[153],"more":[155],"mature":[156],"as":[163],"foreign":[165],"language":[166],"Mainly":[171],"through":[172],"comparison":[174,190],"pre-":[177,193],"posttest":[179,195],"scores":[180],"speaking":[183,211,227],"experimental":[186,203],"subjects":[187],"data":[196],"relevant":[199],"questionnaires,":[200],"following":[202],"conclusions":[204],"were":[205],"drawn:":[206],"adopting":[207],"learning-based":[210],"can":[214,239,258,320,333],"effectively":[215,259],"students'":[217,241],"interest":[218],"English,":[221],"their":[222,225],"attitudes":[223],"skills":[228],"including":[229],"pronunciation,":[230],"phonetic":[231],"intonation,":[232],"conversational":[233],"communication,":[234],"oral":[236],"expression":[237],"enhance":[240],"group":[242,304],"cooperation":[243],"communication":[245],"ability,":[246,249],"independent":[247],"evaluation":[250],"awareness,":[251],"ability.":[253],"single-guided":[255],"mechanism":[257],"avoid":[260,334],"shocks":[262],"that":[263,328],"easily":[265],"caused":[266],"by":[267,285],"dual-guided":[269],"role":[270],"traditional":[272],"PSO.":[273],"dimensional":[275,330,355],"strategy":[277,332],"constructs":[278],"paradigm":[281,316,326,342],"dimension":[289,301],"individual":[292],"optimal":[293,305],"position":[294],"corresponding":[300],"position,":[306],"respectively.":[307],"Dimensional":[308],"formally":[311],"integrated":[312],"into":[313],"only":[317],"if":[318],"fitness":[323],"so":[327],"phenomenon":[336,345],"degradation":[338],"\"two":[347],"steps":[348],"forward,":[349],"one":[350],"step":[351],"back.\"":[352],"In":[353],"strategy,":[357],"since":[358],"learns":[361],"best,":[363],"although":[364],"has":[366],"strong":[368],"exploitation":[369],"capability,":[370],"may":[372],"cause":[373],"all":[374],"particles":[375],"converge":[377,384],"best":[379],"quickly,":[380],"making":[381],"prematurely.":[385]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}