{"id":"https://openalex.org/W4409985080","doi":"https://doi.org/10.1177/14727978251337927","title":"The role of learning analytics in English language teaching: Investigating data-driven strategies to enhance student engagement and academic achievement","display_name":"The role of learning analytics in English language teaching: Investigating data-driven strategies to enhance student engagement and academic achievement","publication_year":2025,"publication_date":"2025-04-30","ids":{"openalex":"https://openalex.org/W4409985080","doi":"https://doi.org/10.1177/14727978251337927"},"language":"en","primary_location":{"id":"doi:10.1177/14727978251337927","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251337927","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"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 Computational Methods in Sciences and Engineering","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/A5107952191","display_name":"Bei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bei Wang","raw_affiliation_strings":["Xi\u2019an Kedagaoxin University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Kedagaoxin University, Xi\u2019an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5107952191"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08530031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"5","first_page":"4419","last_page":"4436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9995999932289124,"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":0.9995999932289124,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9623000025749207,"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/T14182","display_name":"Technology-Enhanced Education Studies","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.8135241270065308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6802495718002319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393412709236145},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5144255757331848},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.5027456283569336},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46281898021698},{"id":"https://openalex.org/keywords/student-engagement","display_name":"Student engagement","score":0.46191146969795227},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.4557591676712036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4534109830856323},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37380707263946533},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.30423039197921753},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17400184273719788},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15702557563781738}],"concepts":[{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.8135241270065308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6802495718002319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393412709236145},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5144255757331848},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.5027456283569336},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46281898021698},{"id":"https://openalex.org/C194519906","wikidata":"https://www.wikidata.org/wiki/Q7627827","display_name":"Student engagement","level":2,"score":0.46191146969795227},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.4557591676712036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4534109830856323},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37380707263946533},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.30423039197921753},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17400184273719788},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15702557563781738},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/14727978251337927","is_oa":false,"landing_page_url":"https://doi.org/10.1177/14727978251337927","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"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 Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W4205323895","https://openalex.org/W4288430664","https://openalex.org/W4363676825","https://openalex.org/W4379387938","https://openalex.org/W4383066789","https://openalex.org/W4384068489","https://openalex.org/W4384079367","https://openalex.org/W4386711340","https://openalex.org/W4387013763","https://openalex.org/W4387706249","https://openalex.org/W4388270247","https://openalex.org/W4389086236","https://openalex.org/W4390960155","https://openalex.org/W4391282127","https://openalex.org/W4391816433","https://openalex.org/W4391842433","https://openalex.org/W4393342727","https://openalex.org/W4394577758","https://openalex.org/W4394836852","https://openalex.org/W4395083648","https://openalex.org/W4396731416","https://openalex.org/W4400885771","https://openalex.org/W4402245525","https://openalex.org/W4403985447","https://openalex.org/W4407040997","https://openalex.org/W4407730995","https://openalex.org/W4408055888"],"related_works":["https://openalex.org/W1987827786","https://openalex.org/W2799586942","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W2560130217","https://openalex.org/W605203981","https://openalex.org/W4225313275","https://openalex.org/W3097749327"],"abstract_inverted_index":{"The":[0,84,178,202,224],"increasing":[1],"integration":[2],"of":[3,32,58,197,204],"learning":[4,75,106,171,176,186,249],"analytics":[5],"(LA)":[6],"in":[7,20,60,143,195,229],"education":[8],"creates":[9],"new":[10],"opportunities":[11],"to":[12,49,136,165],"improve":[13],"student":[14,45,79,96,167],"engagement":[15,80,101,168,198],"and":[16,38,81,108,123,146,173,199,221],"academic":[17,82,109,200],"achievement,":[18],"particularly":[19],"English":[21],"language":[22],"teaching":[23],"(ELT).":[24],"However,":[25],"several":[26],"critical":[27],"limitations":[28],"affect":[29],"the":[30,39,56,105,114,149,154,205],"deployment":[31],"these":[33],"technologies,":[34],"including":[35,99,153],"privacy":[36],"concerns":[37],"need":[40],"for":[41,243],"advanced":[42],"predictions":[43],"about":[44],"behavior":[46],"alongside":[47],"adaptations":[48],"standard":[50],"educational":[51],"frameworks.":[52],"This":[53],"investigation":[54],"examines":[55],"role":[57],"LA":[59,240],"ELT,":[61],"focusing":[62],"on":[63,140,189],"how":[64],"data-driven":[65],"strategies":[66],"powered":[67],"by":[68,246],"artificial":[69],"intelligence":[70],"(AI),":[71],"such":[72,213],"as":[73,214],"deep":[74,159],"(DL),":[76],"can":[77],"enhance":[78],"success.":[83],"dataset,":[85,115],"sourced":[86],"from":[87],"a":[88,144],"publicly":[89],"available":[90],"Kaggle":[91],"repository,":[92],"comprises":[93],"anonymized":[94],"real-world":[95],"interaction":[97],"metrics,":[98],"demographics,":[100],"patterns,":[102,169],"interactions":[103],"with":[104],"system,":[107],"performance.":[110],"To":[111],"efficiently":[112],"preprocess":[113],"numerical":[116],"features":[117,124],"are":[118,125],"normalized":[119],"using":[120,127,211],"Z-score":[121],"normalization,":[122],"extracted":[126],"term":[128,138],"frequency-inverse":[129],"document":[130,145],"frequency":[131,142],"(TF-IDF),":[132],"which":[133],"assigns":[134],"weights":[135],"each":[137],"based":[139,188],"its":[141],"rarity":[147],"across":[148],"dataset.":[150],"DL":[151],"models,":[152],"weighted":[155],"white":[156],"shark":[157],"optimized":[158],"residual":[160],"network":[161],"(WWSO-DResNet),":[162],"were":[163],"employed":[164],"examine":[166],"predict":[170],"outcomes,":[172],"provide":[174],"personalized":[175,185,248],"paths.":[177],"findings":[179],"indicate":[180],"that":[181],"students":[182,232],"who":[183],"received":[184],"interventions":[187],"WWSO-DResNet":[190,207,225],"insights":[191],"performed":[192],"significantly":[193],"better":[194],"terms":[196],"achievement.":[201],"performance":[203],"proposed":[206],"approach":[208],"was":[209],"evaluated":[210],"metrics":[212],"MAE":[215],"(0.09),":[216],"RMSE":[217],"(0.21),":[218],"MSE":[219],"(0.18),":[220],"MAPE":[222],"(0.25).":[223],"method":[226],"proved":[227],"effective":[228],"identifying":[230],"at-risk":[231],"early,":[233],"enabling":[234],"preventive":[235],"interventions.":[236],"In":[237],"conclusion,":[238],"AI-powered":[239],"holds":[241],"promise":[242],"transforming":[244],"ELT":[245],"fostering":[247],"experiences.":[250]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
