{"id":"https://openalex.org/W4416780516","doi":"https://doi.org/10.1186/s40537-025-01333-0","title":"Real-time cognitive and emotional state tracking in intelligent tutoring systems for enhanced learning outcomes","display_name":"Real-time cognitive and emotional state tracking in intelligent tutoring systems for enhanced learning outcomes","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W4416780516","doi":"https://doi.org/10.1186/s40537-025-01333-0"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01333-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01333-0","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40537-025-01333-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052030183","display_name":"Kai Kong","orcid":"https://orcid.org/0000-0001-6433-3865"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Kong","raw_affiliation_strings":["School of Economics and Management, Zaozhuang University, Zaozhuang, 277160, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Zaozhuang University, Zaozhuang, 277160, China","institution_ids":["https://openalex.org/I4210159676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114511775","display_name":"Haytham F. Isleem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haytham F. Isleem","raw_affiliation_strings":["School of Intelligent Construction, Qingdao Hengxing University of Science and Technology, No. 588 Jiushui East Rd., Qingdao, 266100, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Construction, Qingdao Hengxing University of Science and Technology, No. 588 Jiushui East Rd., Qingdao, 266100, Shandong, China","institution_ids":["https://openalex.org/I4210112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059873336","display_name":"Rajanikanth Aluvalu","orcid":"https://orcid.org/0000-0001-8508-6066"},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rajanikanth Aluvalu","raw_affiliation_strings":["Symbiosis Institute of Technology, Hyderabad Campus, Symbiosis International (Deemed University), Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symbiosis Institute of Technology, Hyderabad Campus, Symbiosis International (Deemed University), Pune, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032058782","display_name":"Ghanshyam G. Tejani","orcid":"https://orcid.org/0000-0001-9106-0313"},"institutions":[{"id":"https://openalex.org/I146367977","display_name":"Applied Science Private University","ror":"https://ror.org/01ah6nb52","country_code":"JO","type":"education","lineage":["https://openalex.org/I146367977"]},{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["JO","TW"],"is_corresponding":false,"raw_author_name":"Ghanshyam G. Tejani","raw_affiliation_strings":["Applied Science Research Center, Applied Science Private University, Amman, 11937, Jordan","Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, 320315, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Science Research Center, Applied Science Private University, Amman, 11937, Jordan","institution_ids":["https://openalex.org/I146367977"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan, 320315, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089939115","display_name":"Ahmed Sayed M. Metwally","orcid":"https://orcid.org/0000-0001-8234-9545"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ahmed Sayed M. Metwally","raw_affiliation_strings":["Center of Excellence for Research in Science and Mathematics Education Development, DSR, King Saud University, P. O. Box 2458, Riyadh, 11451, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Excellence for Research in Science and Mathematics Education Development, DSR, King Saud University, P. O. Box 2458, Riyadh, 11451, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059873336"],"corresponding_institution_ids":["https://openalex.org/I244572783"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":8.1935,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97336834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9337999820709229,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9337999820709229,"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/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.017000000923871994,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10636","display_name":"Innovative Teaching and Learning Methods","score":0.010300000198185444,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6118999719619751},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5430999994277954},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"Cognitive load","score":0.5400000214576721},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5371999740600586},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.4023999869823456},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.39739999175071716},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.3968000113964081},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.37689998745918274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723800003528595},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6118999719619751},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5430999994277954},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.5400000214576721},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4251999855041504},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40049999952316284},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.37689998745918274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3747999966144562},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3546999990940094},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01333-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01333-0","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b5e41b493f1c45c5929f6bb286fc85be","is_oa":true,"landing_page_url":"https://doaj.org/article/b5e41b493f1c45c5929f6bb286fc85be","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 12, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01333-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01333-0","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W50081497","https://openalex.org/W107670845","https://openalex.org/W1998789411","https://openalex.org/W2071382064","https://openalex.org/W2117655204","https://openalex.org/W2407679575","https://openalex.org/W2558428663","https://openalex.org/W2841618058","https://openalex.org/W3003695599","https://openalex.org/W3082306761","https://openalex.org/W3099398637","https://openalex.org/W3138488004","https://openalex.org/W3209117472","https://openalex.org/W4308834906","https://openalex.org/W4367459575","https://openalex.org/W4386223224","https://openalex.org/W4403723259","https://openalex.org/W4404924758","https://openalex.org/W4406188661","https://openalex.org/W4407948807","https://openalex.org/W4407949938","https://openalex.org/W4408034555","https://openalex.org/W4408312551","https://openalex.org/W4409294563","https://openalex.org/W4409585768","https://openalex.org/W4410049781","https://openalex.org/W4410140110","https://openalex.org/W4410482186","https://openalex.org/W4410605158","https://openalex.org/W4410745571","https://openalex.org/W4410823675","https://openalex.org/W4410982446","https://openalex.org/W4411106770","https://openalex.org/W4411466371","https://openalex.org/W4412159646","https://openalex.org/W4413390524","https://openalex.org/W4413874219","https://openalex.org/W6966990962","https://openalex.org/W7078754118"],"related_works":[],"abstract_inverted_index":{"Adapting":[0],"instruction":[1,230],"to":[2,235],"learners\u2019":[3],"moment-to-moment":[4],"cognitive":[5,354],"load":[6,355],"and":[7,30,37,57,73,78,81,86,107,119,124,145,158,179,182,199,268,275,285,309,334,347,356,368,371,384],"achievement":[8,61],"emotions":[9,62,123],"remains":[10],"challenging":[11,363],"in":[12,76,169,174,262],"deployed":[13],"Intelligent":[14],"Tutoring":[15],"Systems":[16],"(ITS).":[17],"We":[18,358],"present":[19],"a":[20,120,236],"reliability-aware,":[21],"real-time":[22,205],"multimodal":[23,318],"framework":[24],"that":[25,52,330],"senses":[26],"facial,":[27],"vocal,":[28],"physiological,":[29],"interaction":[31],"signals,":[32],"estimates":[33,190],"joint":[34],"affect\u2013cognition":[35],"states,":[36],"delivers":[38],"state-contingent":[39,295],"interventions":[40],"under":[41],"tight":[42],"latency":[43,183,208],"constraints.":[44],"To":[45],"(i)":[46],"design":[47],"an":[48,64,218],"end-to-end":[49],"platform-agnostic":[50],"pipeline":[51],"integrates":[53],"Cognitive":[54],"Load":[55],"Theory":[56],"Control\u2013Value":[58],"accounts":[59],"of":[60,171,222,353],"within":[63],"Integrated":[65],"Cognitive\u2013Affective":[66],"Learning":[67],"Model;":[68],"(ii)":[69],"validate":[70],"technical":[71],"performance":[72,233],"educational":[74],"impact":[75],"laboratory":[77,333],"classroom":[79,335,366],"settings;":[80],"(iii)":[82],"report":[83,359],"effect":[84],"sizes":[85],"uncertainty":[87],"per":[88],"reviewer":[89],"guidance.":[90],"A":[91,116,127,314],"randomized,":[92],"mixed-methods":[93],"evaluation":[94],"contrasted":[95],"four":[96],"conditions":[97],"(Full":[98],"adaptive,":[99],"Cognitive-only,":[100],"Affective-only,":[101],"Control).":[102],"The":[103,202],"fusion":[104],"layer":[105],"aligns":[106],"normalizes":[108],"modalities":[109],"(DTW":[110],"\u2022":[111],"PCA)":[112],"with":[113,191,241,278],"reliability":[114],"weighting.":[115],"temporal":[117],"Transformer":[118],"GRU":[121],"estimate":[122],"triarchic":[125],"load.":[126],"constrained":[128],"contextual":[129],"bandit":[130],"selects":[131],"content,":[132],"interface,":[133],"metacognitive,":[134],"or":[135],"motivational":[136,310],"actions.":[137],"Participants":[138],"(":[139,288],"N":[140],"=":[141],"271)":[142],"completed":[143],"math":[144],"science":[146],"units":[147],"over":[148],"nine":[149],"sessions":[150],"spanning":[151],"3":[152],"weeks.":[153],"Primary":[154],"outcomes":[155,166],"included":[156],"pre-":[157],"post-learning":[159],"assessments,":[160],"as":[161,163],"well":[162],"transfer.":[164],"Process":[165,257],"were":[167,184],"measured":[168],"terms":[170],"time":[172,213,261],"spent":[173],"engagement":[175],"versus":[176],"confusion,":[177],"frustration,":[178],"boredom.":[180],"UX":[181],"also":[185],"logged.":[186],"Mixed-effects":[187],"models":[188],"yielded":[189],"95%":[192],"CIs;":[193],"sensitivity":[194],"checks":[195],"addressed":[196],"sensor":[197],"quality":[198],"site":[200],"effects.":[201],"system":[203],"met":[204],"targets":[206],"(end-to-end":[207],"<":[209],"200":[210],"ms;":[211],"reaction":[212],"520\u2013820":[214],"ms)":[215],"while":[216],"maintaining":[217],"affect":[219,284],"recognition":[220],"accuracy":[221],"82\u201388%":[223],"(weighted":[224],"F1":[225],"\u2248":[226,290],"score":[227],"0.85).":[228],"Adaptive":[229],"improved":[231,351],"post-test":[232],"compared":[234],"strong":[237,279],"static":[238],"ITS":[239],"baseline,":[240],"the":[242,342],"most":[243],"significant":[244],"gains":[245],"for":[246,378],"mid-ability":[247],"learners":[248],"(approximately":[249],"+":[250],"15%":[251],"points,":[252],"Cohen\u2019s":[253],"d":[254],"approximately":[255],"0.8).":[256],"measures":[258],"showed":[259],"higher":[260],"Engagement":[263],"(\u2248":[264,271],"42%":[265],"vs.":[266,273],"29%)":[267],"productive":[269],"Confusion":[270],"18%":[272],"12%),":[274],"lower":[276],"Frustration/Boredom,":[277],"convergence":[280],"between":[281],"detected":[282],"negative":[283],"self-reported":[286],"frustration":[287],"r":[289],"0.7).":[291],"Mechanism-level":[292],"analyses":[293],"indicated":[294],"efficacy:":[296],"content":[297],"adaptations":[298,329],"during":[299,303,307,312],"Confusion,":[300],"interface":[301],"adjustments":[302],"Frustration,":[304],"metacognitive":[305],"prompts":[306],"Engagement,":[308],"supports":[311],"Boredom.":[313],"theoretically":[315],"grounded,":[316],"reliability-aware":[317],"controller":[319],"can":[320],"translate":[321],"fine-grained":[322],"state":[323],"estimation":[324],"into":[325],"timely,":[326],"pedagogically":[327],"meaningful":[328],"scale":[331],"across":[332],"contexts.":[336],"Benefits":[337],"concentrate":[338],"where":[339],"scaffolding":[340],"has":[341],"highest":[343],"leverage":[344],"(mid-ability":[345],"band)":[346],"are":[348],"mediated":[349],"by":[350],"regulation":[352],"affect.":[357],"limitations":[360],"(including":[361],"more":[362],"anxiety":[364],"detection,":[365],"noise,":[367],"device":[369],"heterogeneity)":[370],"outline":[372],"next":[373],"steps,":[374],"including":[375],"micro-randomized":[376],"trials":[377],"causal":[379],"mechanism":[380],"estimation,":[381],"fairness":[382],"audits,":[383],"longer-term":[385],"retention":[386],"studies.":[387]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-06-28T08:01:55.173337","created_date":"2025-11-28T00:00:00"}
