{"id":"https://openalex.org/W4412889184","doi":"https://doi.org/10.18653/v1/2025.bea-1.94","title":"IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction","display_name":"IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889184","doi":"https://doi.org/10.18653/v1/2025.bea-1.94"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.bea-1.94","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.94","pdf_url":"https://aclanthology.org/2025.bea-1.94.pdf","source":null,"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 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.bea-1.94.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181629","display_name":"Sof\u00eda Correa Busquets","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sof\u00eda Correa Busquets","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181630","display_name":"Valentina C\u00f3rdova V\u00e9liz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valentina C\u00f3rdova V\u00e9liz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030967950","display_name":"Jorge A. Baier","orcid":"https://orcid.org/0000-0002-6280-5619"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge Baier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14560846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1187","last_page":"1193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9247999787330627,"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/T10028","display_name":"Topic Modeling","score":0.9247999787330627,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9146999716758728,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7012205719947815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517382860183716},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6020801067352295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4612426161766052},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4177522659301758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38690823316574097},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3291880488395691},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15408003330230713},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.1373608112335205},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07099577784538269},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07023221254348755}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7012205719947815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517382860183716},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6020801067352295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4612426161766052},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4177522659301758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38690823316574097},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3291880488395691},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15408003330230713},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.1373608112335205},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07099577784538269},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07023221254348755},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.bea-1.94","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.94","pdf_url":"https://aclanthology.org/2025.bea-1.94.pdf","source":null,"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 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.bea-1.94","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.94","pdf_url":"https://aclanthology.org/2025.bea-1.94.pdf","source":null,"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 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7877382544","display_name":"NATIONAL CENTER FOR ARTIFICIAL INTELLIGENCE RESEARCH (NAIR)","funder_award_id":"FB210017","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"}],"funders":[{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889184.pdf","grobid_xml":"https://content.openalex.org/works/W4412889184.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2377297411","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W3148217948","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2375788636","https://openalex.org/W3196817267","https://openalex.org/W1976600725"],"abstract_inverted_index":{"As":[0],"AI's":[1],"presence":[2],"in":[3,77,114,129,167],"educational":[4],"environments":[5],"grows,":[6],"it":[7],"becomes":[8],"critical":[9],"to":[10,33,64,92,97,139,145,185],"evaluate":[11],"how":[12,27,144],"its":[13],"feedback":[14,32,43],"may":[15,35],"impact":[16],"students'":[17],"learning":[18],"processes.Pedagogical":[19],"theory,":[20,79],"with":[21,118],"decades":[22],"of":[23,40,104,123,131,162,177,190],"effort":[24],"into":[25,42],"understanding":[26],"human":[28],"instructors":[29],"give":[30],"good-quality":[31],"students,":[34],"provide":[36,140],"a":[37,49,94,119,170],"rich":[38],"source":[39],"insight":[41],"automation.In":[44],"this":[45],"paper,":[46],"we":[47,151],"propose":[48],"novel":[50],"architecture":[51],"based":[52,72],"on":[53,68,73,143,169],"pedagogical-theory":[54],"feature":[55],"extraction":[56],"from":[57],"the":[58,84,99,105,115,163,175],"conversation":[59],"history":[60],"and":[61,80,158],"tutor":[62],"response":[63],"predict":[65,98],"pedagogical":[66,78,133,156],"guidance":[67],"MRBench.Such":[69],"features":[70,88],"are":[71,89],"Brookhart's":[74],"canonical":[75],"work":[76,125],"extracted":[81],"by":[82],"prompting":[83],"language":[85],"model":[86],"LearnLM.The":[87],"then":[90],"used":[91],"train":[93],"random-forest":[95],"classifier":[96],"Track":[100],"3:":[101],"Pedagogical":[102],"Guidance":[103],"BEA":[106],"2025":[107],"shared":[108],"task.Our":[109],"approach":[110],"ranked":[111],"8":[112],"th":[113],"dimension's":[116],"leaderboard":[117],"test":[120],"Macro":[121],"F1-score":[122],"0.54.Our":[124],"provides":[126],"some":[127],"evidence":[128],"support":[130],"using":[132],"theory":[134,157],"qualitative":[135],"factors":[136],"treated":[137],"separately":[138],"clearer":[141],"guidelines":[142],"improve":[146],"lowscoring":[147],"intelligent":[148],"tutoring":[149,164],"systems.Finally,":[150],"observed":[152],"several":[153],"inconsistencies":[154],"between":[155],"MRBench's":[159],"inherent":[160],"relaxation":[161],"problem":[165],"implied":[166],"evaluating":[168],"single-conversation":[171],"basis,":[172],"calling":[173],"for":[174],"development":[176],"more":[178],"elaborate":[179],"measures":[180],"which":[181],"consider":[182],"student":[183],"profiles":[184],"serve":[186],"as":[187],"true":[188],"heuristics":[189],"AI":[191],"tutors'":[192],"usefulness.":[193]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
