{"id":"https://openalex.org/W4389247501","doi":"https://doi.org/10.3233/faia230908","title":"Research on Precision Teaching Management Methods in Universities in the Era of Big Data Based on Entropy Weight Method","display_name":"Research on Precision Teaching Management Methods in Universities in the Era of Big Data Based on Entropy Weight Method","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389247501","doi":"https://doi.org/10.3233/faia230908"},"language":"en","primary_location":{"id":"doi:10.3233/faia230908","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230908","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230908","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230908","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112495393","display_name":"Xiufeng Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiufeng Wei","raw_affiliation_strings":["Shenyang University","Xiufeng WEI, Shenyang University;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang University","institution_ids":["https://openalex.org/I42852656"]},{"raw_affiliation_string":"Xiufeng WEI, Shenyang University;","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082450291","display_name":"Jiaqi Jiang","orcid":"https://orcid.org/0000-0001-7502-0872"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Jiang","raw_affiliation_strings":["Shenyang University","Jiaqi JIANG, Shenyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang University","institution_ids":["https://openalex.org/I42852656"]},{"raw_affiliation_string":"Jiaqi JIANG, Shenyang University","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633961","display_name":"Le Zhang","orcid":"https://orcid.org/0000-0001-8719-3850"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Zhang","raw_affiliation_strings":["Shenyang University","Le ZHANG, Shenyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang University","institution_ids":["https://openalex.org/I42852656"]},{"raw_affiliation_string":"Le ZHANG, Shenyang University","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100927845","display_name":"Hongyan Feng","orcid":"https://orcid.org/0009-0000-2489-0894"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Feng","raw_affiliation_strings":["Shenyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang University","institution_ids":["https://openalex.org/I42852656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112495393"],"corresponding_institution_ids":["https://openalex.org/I42852656"],"apc_list":null,"apc_paid":null,"fwci":0.7365,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77298547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.6815999746322632,"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"}},"topics":[{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.6815999746322632,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.6431000232696533,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.6414999961853027,"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/big-data","display_name":"Big data","score":0.7958160638809204},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5492307543754578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5306001901626587},{"id":"https://openalex.org/keywords/subject-matter","display_name":"Subject matter","score":0.5036231875419617},{"id":"https://openalex.org/keywords/experiential-learning","display_name":"Experiential learning","score":0.49058952927589417},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.46113622188568115},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46086227893829346},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4396761655807495},{"id":"https://openalex.org/keywords/engineering-management","display_name":"Engineering management","score":0.3705558776855469},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3385094404220581},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26215964555740356},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.25290679931640625},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20879489183425903},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12896358966827393},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.12219026684761047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12194609642028809},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.10334193706512451},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.10157150030136108},{"id":"https://openalex.org/keywords/pedagogy","display_name":"Pedagogy","score":0.08657145500183105}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7958160638809204},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5492307543754578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5306001901626587},{"id":"https://openalex.org/C2992860105","wikidata":"https://www.wikidata.org/wiki/Q7631392","display_name":"Subject matter","level":3,"score":0.5036231875419617},{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.49058952927589417},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.46113622188568115},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46086227893829346},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4396761655807495},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.3705558776855469},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3385094404220581},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26215964555740356},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.25290679931640625},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20879489183425903},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12896358966827393},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.12219026684761047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12194609642028809},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.10334193706512451},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10157150030136108},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.08657145500183105},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230908","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230908","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230908","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230908","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230908","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230908","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389247501.pdf","grobid_xml":"https://content.openalex.org/works/W4389247501.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2170586871"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W2693365417","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W1966385878","https://openalex.org/W4233347783","https://openalex.org/W2910064364"],"abstract_inverted_index":{"The":[0,24,54],"widespread":[1],"adoption":[2],"and":[3,19,62,78],"advancement":[4],"of":[5,26,34,56,64,83,91,110],"big":[6,92],"data":[7],"technology":[8,36],"have":[9],"led":[10],"to":[11,105],"its":[12],"integration":[13,33],"across":[14],"various":[15,22],"industries,":[16],"offering":[17],"convenience":[18],"efficiency":[20],"in":[21,86],"tasks.":[23],"field":[25],"education":[27,38],"is":[28],"no":[29],"exception,":[30],"as":[31],"the":[32,60,80,89,95,111],"modern":[35],"with":[37],"becomes":[39],"increasingly":[40],"common.":[41],"Traditional":[42],"experiential":[43],"teaching":[44,52,65,85],"methods":[45],"are":[46,103],"gradually":[47],"being":[48],"replaced":[49],"by":[50],"data-driven":[51,57],"approaches.":[53],"establishment":[55],"platforms":[58],"enables":[59],"collection":[61],"analysis":[63],"materials,":[66],"injecting":[67],"new":[68],"energy":[69],"into":[70],"precision":[71,84],"teaching.":[72],"This":[73],"article":[74],"focuses":[75],"on":[76],"modeling":[77],"evaluating":[79],"management":[81],"method":[82,98],"universities":[87],"during":[88],"era":[90],"data,":[93],"utilizing":[94],"entropy":[96],"weight":[97],"for":[99],"analysis.":[100],"Specific":[101],"analyses":[102],"conducted":[104],"provide":[106],"a":[107],"comprehensive":[108],"understanding":[109],"subject":[112],"matter.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
