{"id":"https://openalex.org/W7204934397","doi":"https://doi.org/10.1145/3813822.3814096","title":"Research on a Speech-Modal Learning Behavior Evaluation Model Based on SenseVoice and LLMs","display_name":"Research on a Speech-Modal Learning Behavior Evaluation Model Based on SenseVoice and LLMs","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7204934397","doi":"https://doi.org/10.1145/3813822.3814096"},"language":"en","primary_location":{"id":"doi:10.1145/3813822.3814096","doi":"https://doi.org/10.1145/3813822.3814096","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3813822.3814096","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3813822.3814096","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009198882","display_name":"Ting Kang","orcid":"https://orcid.org/0009-0003-6966-0007","observed_orcids":["https://orcid.org/0009-0003-6966-0007"]},"institutions":[{"id":"https://openalex.org/I4210123088","display_name":"Wuhan Technology and Business University","ror":"https://ror.org/0348f9w08","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123088"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Kang","raw_affiliation_strings":["School of Computer Science and Automation, Wuhan Technology and Business University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0003-6966-0007","affiliations":[{"raw_affiliation_string":"School of Computer Science and Automation, Wuhan Technology and Business University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210123088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102533116","display_name":"Yating Luo","orcid":"https://orcid.org/0009-0008-6482-7353","observed_orcids":["https://orcid.org/0009-0008-6482-7353"]},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Luo","raw_affiliation_strings":["School of Computer Science, Wuhan Donghu University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0008-6482-7353","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan Donghu University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148909887","display_name":"Jie Zhang","orcid":"https://orcid.org/0009-0004-3773-2755","observed_orcids":["https://orcid.org/0009-0004-3773-2755"]},"institutions":[{"id":"https://openalex.org/I4210123088","display_name":"Wuhan Technology and Business University","ror":"https://ror.org/0348f9w08","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123088"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Computer Science and Automation, Wuhan Technology and Business University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0004-3773-2755","affiliations":[{"raw_affiliation_string":"School of Computer Science and Automation, Wuhan Technology and Business University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210123088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148933427","display_name":"Juan Li","orcid":"https://orcid.org/0009-0003-8575-5006","observed_orcids":["https://orcid.org/0009-0003-8575-5006"]},"institutions":[{"id":"https://openalex.org/I4210123088","display_name":"Wuhan Technology and Business University","ror":"https://ror.org/0348f9w08","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123088"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["School of Computer Science and Automation, Wuhan Technology and Business University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0003-8575-5006","affiliations":[{"raw_affiliation_string":"School of Computer Science and Automation, Wuhan Technology and Business University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210123088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1698","last_page":"1703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9301999807357788,"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":0.9301999807357788,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.03310000151395798,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.01679999940097332,"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/multimodal-learning-analytics","display_name":"multimodal learning analytics","score":0.9490000009536743},{"id":"https://openalex.org/keywords/voice-emotion-recognition","display_name":"voice emotion recognition","score":0.625},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9900000095367432},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"cognitive load","score":0.7319999933242798},{"id":"https://openalex.org/keywords/learner-profiles","display_name":"learner profiles","score":0.5659999847412109},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.6660000085830688},{"id":"https://openalex.org/keywords/automated-assessment","display_name":"automated assessment","score":0.4560000002384186},{"id":"https://openalex.org/keywords/group-discussion","display_name":"group discussion","score":0.4099999964237213},{"id":"https://openalex.org/keywords/pedagogical-intervention","display_name":"pedagogical intervention","score":0.640999972820282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187000274658203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593999981880188},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5735999941825867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48989999294281006},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43230000138282776},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.29490000009536743},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26429998874664307},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C2780554381","wikidata":"https://www.wikidata.org/wiki/Q2063340","display_name":"Sensemaking","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3813822.3814096","doi":"https://doi.org/10.1145/3813822.3814096","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3813822.3814096","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3813822.3814096","doi":"https://doi.org/10.1145/3813822.3814096","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3813822.3814096","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality education","score":0.975600004196167,"id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2080117431","https://openalex.org/W2168465881","https://openalex.org/W3098557217","https://openalex.org/W4312237773","https://openalex.org/W4381801942","https://openalex.org/W4391216255","https://openalex.org/W4394828359"],"related_works":["https://openalex.org/W7155620697","https://openalex.org/W4403248645","https://openalex.org/W7208739169","https://openalex.org/W7169583757","https://openalex.org/W7223176222","https://openalex.org/W4411552301","https://openalex.org/W4400668286","https://openalex.org/W7222952135","https://openalex.org/W4414198211","https://openalex.org/W7220954740"],"abstract_inverted_index":{"With":[0],"the":[1,7,20,44,51,71,119,131,138,150,156],"evolution":[2],"of":[3,9,23,48,56,77,158],"smart":[4],"education":[5],"towards":[6],"stage":[8],"Multimodal":[10],"Learning":[11,99],"Analytics":[12],"(MMLA),":[13],"voice":[14],"data":[15],"holds":[16],"significant":[17],"value":[18],"for":[19,68,182],"accurate":[21],"evaluation":[22,35,175],"learners\u2019":[24,78],"cognitive":[25],"load":[26],"and":[27,65,86,125,170],"emotional":[28,45],"engagement.":[29],"This":[30],"research":[31],"proposes":[32],"an":[33],"automated":[34],"framework":[36,72],"based":[37],"on":[38],"dual-model":[39],"collaboration,":[40],"which":[41],"indicatively":[42],"integrates":[43],"recognition":[46],"capability":[47],"SenseVoice":[49,64],"with":[50],"deep":[52],"semantic":[53],"understanding":[54],"function":[55],"LLMs.":[57],"By":[58],"extracting":[59],"rich":[60],"emotion":[61],"tags":[62],"via":[63],"leveraging":[66],"LLMs":[67],"high-order":[69],"reasoning,":[70],"performs":[73],"a":[74,96,179],"multi-dimensional":[75],"quantification":[76],"Semantic":[79],"Content":[80],"Representation":[81],"(SCR),":[82],"Engagement":[83],"Features":[84],"(EF)":[85],"Sentiment":[87],"Orientation":[88],"(SO).":[89],"These":[90],"metrics":[91],"are":[92],"then":[93],"synthesized":[94],"into":[95],"weighted":[97],"Final":[98],"Score":[100],"(FLS)":[101],"to":[102],"reconstruct":[103],"high-fidelity":[104],"learner":[105],"profiles.":[106],"Experimental":[107],"validation":[108],"across":[109],"50":[110],"group":[111],"discussions":[112],"in":[113,172,186],"\u201cblack-box":[114],"testing\u201d":[115],"scenarios":[116],"reveals":[117],"that":[118,149],"correlation":[120],"coefficient":[121],"between":[122],"system-generated":[123],"scores":[124],"expert":[126,174],"ratings":[127],"reached":[128],"0.897":[129],"(with":[130],"SCR":[132],"dimension":[133],"specifically":[134],"hitting":[135],"0.911),":[136],"while":[137],"Root":[139],"Mean":[140],"Square":[141],"Error":[142],"(RMSE)":[143],"was":[144],"6.44.":[145],"The":[146],"results":[147],"demonstrate":[148],"multi-modal":[151],"fusion":[152],"model":[153],"effectively":[154],"mitigates":[155],"biases":[157],"single-metric":[159],"evaluations":[160],"through":[161],"inter-dimensional":[162],"\u201clogical":[163],"compensation.\u201d":[164],"It":[165],"exhibits":[166],"high":[167],"scientific":[168],"validity":[169],"robustness":[171],"simulating":[173],"logic,":[176],"thereby":[177],"providing":[178],"reliable":[180],"pathway":[181],"precise":[183],"pedagogical":[184],"intervention":[185],"digital":[187],"environments.":[188]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-02T00:00:00"}