{"id":"https://openalex.org/W4407951270","doi":"https://doi.org/10.1109/fie61694.2024.10893536","title":"AI-Powered Strategies for Alleviating Graduate Student Burnout Through Emotional Intelligence and Wearable Technology","display_name":"AI-Powered Strategies for Alleviating Graduate Student Burnout Through Emotional Intelligence and Wearable Technology","publication_year":2024,"publication_date":"2024-10-13","ids":{"openalex":"https://openalex.org/W4407951270","doi":"https://doi.org/10.1109/fie61694.2024.10893536"},"language":"en","primary_location":{"id":"doi:10.1109/fie61694.2024.10893536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie61694.2024.10893536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-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/A5040782063","display_name":"Yuexin Liu","orcid":"https://orcid.org/0000-0001-6290-1435"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuexin Liu","raw_affiliation_strings":["Texas A&M University,Department of ETID,College Station,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,Department of ETID,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004126483","display_name":"Amir Tofighi Zavareh","orcid":"https://orcid.org/0000-0001-6602-8725"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Zavareh","raw_affiliation_strings":["Texas A&M University,Department of ETID,College Station,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,Department of ETID,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062210574","display_name":"Ben Zoghi","orcid":"https://orcid.org/0000-0002-9515-6504"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Zoghi","raw_affiliation_strings":["Texas A&M University,Department of ETID,College Station,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,Department of ETID,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.548,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74773502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11433","display_name":"Emotional Intelligence and Performance","score":0.5860999822616577,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11433","display_name":"Emotional Intelligence and Performance","score":0.5860999822616577,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T14313","display_name":"Health and Well-being Studies","score":0.5551999807357788,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/burnout","display_name":"Burnout","score":0.7669737339019775},{"id":"https://openalex.org/keywords/emotional-intelligence","display_name":"Emotional intelligence","score":0.6695929169654846},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6526376008987427},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5678577423095703},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.5635578632354736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43059366941452026},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.3993043899536133},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.23975396156311035},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.19683825969696045},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12119367718696594}],"concepts":[{"id":"https://openalex.org/C143916079","wikidata":"https://www.wikidata.org/wiki/Q2629248","display_name":"Burnout","level":2,"score":0.7669737339019775},{"id":"https://openalex.org/C174107131","wikidata":"https://www.wikidata.org/wiki/Q191591","display_name":"Emotional intelligence","level":2,"score":0.6695929169654846},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6526376008987427},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5678577423095703},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.5635578632354736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43059366941452026},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.3993043899536133},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.23975396156311035},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.19683825969696045},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12119367718696594},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fie61694.2024.10893536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie61694.2024.10893536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2621614079","https://openalex.org/W3010381832","https://openalex.org/W3100889028","https://openalex.org/W3119335825","https://openalex.org/W3168336961","https://openalex.org/W4200623507","https://openalex.org/W4207033168","https://openalex.org/W4214717370","https://openalex.org/W4283213366","https://openalex.org/W4293003987","https://openalex.org/W4361010683","https://openalex.org/W4383724183","https://openalex.org/W4386958277","https://openalex.org/W4388571294","https://openalex.org/W4389262446","https://openalex.org/W4390621429","https://openalex.org/W4390621571"],"related_works":["https://openalex.org/W2043487344","https://openalex.org/W2328607849","https://openalex.org/W2034909032","https://openalex.org/W2528063266","https://openalex.org/W2396691023","https://openalex.org/W2801770924","https://openalex.org/W3120573692","https://openalex.org/W4210275381","https://openalex.org/W168063189","https://openalex.org/W1489325583"],"abstract_inverted_index":{"In":[0,244],"recent":[1,245,270],"years,":[2,246],"the":[3,37,46,56,96,108,123,126,154,195,222,311,332,338,376],"integration":[4,127],"of":[5,40,98,112,128,148,194,213,269,335,340,382],"wearable":[6,53,113,129,158,242,280,319,346],"technology":[7,114,130,281,320,347],"with":[8,65,321],"emotional":[9,67,149,176,206,294,322,343],"intelligence":[10,68,150,323],"coaching,":[11,151],"powered":[12],"by":[13,153,186],"deep":[14,102,227],"reinforcement":[15,103,228,275],"learning":[16,104,276],"and":[17,42,90,110,140,160,170,179,191,205,215,241,274,296,299,314,345,370,379],"artificial":[18,99,341],"intelligence,":[19,100,225,342,344],"has":[20,230],"emerged":[21],"as":[22,137],"a":[23,88,266],"pioneering":[24],"approach":[25,167,364],"to":[26,73,106,218,279,331],"enhance":[27],"mental":[28,76,116,238,257,283,304,349,372],"health":[29,77,117,239,258,284,305,350,373],"support":[30,78,118,240,259,351],"for":[31,60,119,173,182,256,282,302,352],"graduate":[32,47,120,353],"students.":[33,121,384],"This":[34,70,93,166,263,328],"research":[35,287,329],"addresses":[36],"significant":[38,232],"issues":[39],"stress":[41,214,297],"burnout":[43],"prevalent":[44],"in":[45,84,115,131,234,253,260,272,316,325,348,356],"student":[48,303],"community.":[49],"The":[50,286,307,358],"study":[51,124,264,308],"utilizes":[52],"technology,":[54],"like":[55],"Empatica":[57],"Embrace":[58],"Plus,":[59],"continuous,":[61],"real-time":[62],"monitoring,":[63],"combined":[64],"customized":[66],"coaching.":[69],"strategy":[71],"aims":[72],"transform":[74],"existing":[75],"methods":[79],"within":[80],"academic":[81,183,380],"settings,":[82],"especially":[83,101],"engineering":[85,261,326,383],"education,":[86,254],"offering":[87],"dynamic":[89],"student-centered":[91],"solution.":[92],"work":[94],"explores":[95,288],"potential":[97,252,339],"techniques,":[105],"improve":[107],"efficacy":[109],"impact":[111],"Firstly,":[122],"discusses":[125,310],"monitoring":[132],"various":[133,235],"physiological":[134,201],"signals,":[135],"such":[136],"electrodermal":[138],"activity":[139],"heart":[141],"rate":[142],"variability.":[143],"Next,":[144],"it":[145,197],"presents":[146,265],"applications":[147],"informed":[152],"insights":[155],"derived":[156],"from":[157,203],"data":[159,202],"Emotional":[161],"Quotient":[162],"Inventory":[163],"2.0":[164],"assessments.":[165,207],"facilitates":[168],"personalized":[169],"effective":[171,371],"interventions":[172,301],"enhancing":[174,375],"students'":[175],"regulation":[177],"skills":[178],"coping":[180],"mechanisms":[181],"stressors.":[184],"Furthermore,":[185],"highlighting":[187],"successful":[188],"case":[189],"studies":[190],"initial":[192],"findings":[193,209,359],"research,":[196],"demonstrates":[198],"correlations":[199],"between":[200],"wearables":[204],"These":[208],"also":[210,309],"reveal":[211],"patterns":[212,298],"well-being":[216,378],"linked":[217],"demographic":[219],"factors":[220],"among":[221],"participants.":[223],"Artificial":[224],"particularly":[226,355],"learning,":[229],"shown":[231],"promise":[233],"fields,":[236],"including":[237],"technology.":[243],"researchers":[247],"have":[248],"begun":[249],"exploring":[250],"its":[251],"specifically":[255],"education.":[262,327],"comprehensive":[267],"review":[268],"advancements":[271],"AI":[273],"techniques":[277,291],"applied":[278],"support.":[285,306],"how":[289],"these":[290],"can":[292,365],"analyze":[293],"states":[295],"optimize":[300],"future":[312],"directions":[313],"challenges":[315],"incorporating":[317],"AI-enhanced":[318],"coaching":[324],"contributes":[330],"growing":[333],"body":[334],"knowledge":[336],"on":[337],"students,":[354],"engineering.":[357],"suggest":[360],"that":[361],"this":[362],"integrative":[363],"provide":[366],"more":[367],"dynamic,":[368],"personalized,":[369],"support,":[374],"overall":[377],"performance":[381]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}