{"id":"https://openalex.org/W7204197084","doi":"https://doi.org/10.18653/2026.findings-emnlp.810","title":"LLM Pedagogical Behavior in AI Tutoring Interactions","display_name":"LLM Pedagogical Behavior in AI Tutoring Interactions","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204197084","doi":"https://doi.org/10.18653/2026.findings-emnlp.810"},"language":"en","primary_location":{"id":"doi:10.18653/2026.findings-emnlp.810","doi":"https://doi.org/10.18653/2026.findings-emnlp.810","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.810","pdf_url":"https://aclanthology.org/2026.findings-emnlp.810.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://aclanthology.org/2026.findings-emnlp.810.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130306005","display_name":"Suhyeon Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suhyeon Lee","raw_affiliation_strings":["KAIST Seoul , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST Seoul , South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138808460","display_name":"Juneha Baek","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juneha Baek","raw_affiliation_strings":["KAIST Seoul , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST Seoul , South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054297278","display_name":"Jaehyeong Park","orcid":"https://orcid.org/0000-0001-6622-3619","observed_orcids":["https://orcid.org/0000-0001-6622-3619","https://orcid.org/0009-0003-5996-1607"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyeong Park","raw_affiliation_strings":["KAIST Seoul , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST Seoul , South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148166753","display_name":"Donghyuk Shin","orcid":"https://orcid.org/0000-0001-8687-0258","observed_orcids":["https://orcid.org/0000-0001-8687-0258"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghyuk Shin","raw_affiliation_strings":["KAIST Seoul , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST Seoul , South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.3743,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89869612,"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":"17168","last_page":"17177"},"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":0.9937000274658203,"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":0.9937000274658203,"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/T14414","display_name":"Artificial Intelligence in Education","score":0.004600000102072954,"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"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.00039999998989515007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8009999990463257},{"id":"https://openalex.org/keywords/ai-tutoring","display_name":"AI tutoring","score":0.9470000267028809},{"id":"https://openalex.org/keywords/conversational-behavior","display_name":"conversational behavior","score":0.6769999861717224},{"id":"https://openalex.org/keywords/scale-validation","display_name":"scale validation","score":0.5920000076293945},{"id":"https://openalex.org/keywords/academic-performance-prediction","display_name":"student performance prediction","score":0.4429999887943268}],"concepts":[{"id":"https://openalex.org/C2781110425","wikidata":"https://www.wikidata.org/wiki/Q2074695","display_name":"Coursework","level":2,"score":0.7757999897003174},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.7448999881744385},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.5583999752998352},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5328999757766724},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35370001196861267},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C2779479571","wikidata":"https://www.wikidata.org/wiki/Q4812273","display_name":"At-risk students","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C2776933062","wikidata":"https://www.wikidata.org/wiki/Q861413","display_name":"Mastery learning","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C2778370645","wikidata":"https://www.wikidata.org/wiki/Q5668585","display_name":"Note-taking","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.25940001010894775}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/2026.findings-emnlp.810","doi":"https://doi.org/10.18653/2026.findings-emnlp.810","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.810","pdf_url":"https://aclanthology.org/2026.findings-emnlp.810.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2608.22993","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.22993","pdf_url":"https://arxiv.org/pdf/2608.22993","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.22993","doi":"https://doi.org/10.48550/arxiv.2608.22993","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.22993","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/2026.findings-emnlp.810","doi":"https://doi.org/10.18653/2026.findings-emnlp.810","is_oa":true,"landing_page_url":"https://doi.org/10.18653/2026.findings-emnlp.810","pdf_url":"https://aclanthology.org/2026.findings-emnlp.810.pdf","source":{"id":"https://openalex.org/S7407096085","display_name":"Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.9235000014305115}],"study_designs":[],"awards":[{"id":"https://openalex.org/G6134390037","display_name":null,"funder_award_id":"IITP-RS-2024-00440626","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204197084.pdf","grobid_xml":"https://content.openalex.org/works/W7204197084.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4405766242"],"related_works":["https://openalex.org/W4415981784","https://openalex.org/W7168238437","https://openalex.org/W7221780263","https://openalex.org/W7165545231","https://openalex.org/W7215059016","https://openalex.org/W7125117057","https://openalex.org/W7166175408","https://openalex.org/W7166008920","https://openalex.org/W7166825272","https://openalex.org/W4412862741"],"abstract_inverted_index":{"Students":[0],"increasingly":[1],"use":[2,22],"LLMs":[3,18],"as":[4,24,49,101],"tutors":[5,25],"for":[6,138,148],"coursework":[7],"and":[8,52,130,144],"problem":[9],"solving.Little":[10],"is":[11,107],"known":[12],"about":[13,121],"the":[14,66,74],"level":[15,51,106],"of":[16,68,94],"assistance":[17,70,140],"provide":[19,134],"when":[20],"students":[21,42,82],"them":[23],"in":[26,37,83,141],"authentic":[27],"learning":[28],"interactions.This":[29],"matters":[30],"because":[31],"tutoring":[32,142,152],"responses":[33,63,79],"can":[34],"differ":[35],"substantially":[36],"how":[38,150],"directly":[39],"they":[40,71],"help":[41],"complete":[43],"a":[44,54,84,145],"task.We":[45],"operationalize":[46],"this":[47],"dimension":[48],"scaffolding":[50],"develop":[53],"five-level":[55],"scale,":[56],"validated":[57],"against":[58],"human":[59],"annotations,":[60],"that":[61,155],"characterizes":[62],"according":[64],"to":[65,76],"degree":[67],"direct":[69],"provide.We":[72],"apply":[73],"scale":[75],"14,637":[77],"LLM":[78,139],"from":[80],"203":[81],"university":[85],"AI":[86],"course.Responses":[87],"are":[88],"overwhelmingly":[89],"concentrated":[90],"at":[91],"high":[92],"levels":[93],"assistance,":[95],"with":[96,110],"more":[97],"than":[98],"95%":[99],"classified":[100],"either":[102],"Explaining":[103],"or":[104],"Solving.Scaffolding":[105],"systematically":[108],"associated":[109],"students'":[111],"subsequent":[112,125],"conversational":[113],"behavior,":[114],"but":[115],"provides":[116],"little":[117],"additional":[118],"predictive":[119],"information":[120],"performance":[122],"on":[123],"three":[124],"exams":[126],"beyond":[127],"prior":[128],"achievement":[129],"dialogue":[131],"behavior.These":[132],"findings":[133],"an":[135],"empirical":[136],"baseline":[137],"interactions":[143],"measurement":[146],"framework":[147],"evaluating":[149],"alternative":[151],"designs":[153],"change":[154],"assistance.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-08-26T00:00:00"}
