{"id":"https://openalex.org/W7138157082","doi":"https://doi.org/10.48550/arxiv.2603.15547","title":"Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation","display_name":"Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138157082","doi":"https://doi.org/10.48550/arxiv.2603.15547"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15547","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15547","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129719730","display_name":"Yanick Zengaffinen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zengaffinen, Yanick","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002988487","display_name":"Andreas Opedal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Opedal, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129706250","display_name":"Donya Rooein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rooein, Donya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129725744","display_name":"Kv Aditya Srivatsa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srivatsa, Kv Aditya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028809416","display_name":"Shashank Sonkar","orcid":"https://orcid.org/0000-0002-4409-1341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sonkar, Shashank","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129677110","display_name":"Mrinmaya Sachan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sachan, Mrinmaya","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.3077999949455261,"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":0.3077999949455261,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.10909999907016754,"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/T10028","display_name":"Topic Modeling","score":0.10660000145435333,"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/set","display_name":"Set (abstract data type)","score":0.6373000144958496},{"id":"https://openalex.org/keywords/structuring","display_name":"Structuring","score":0.6082000136375427},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5985999703407288},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.39629998803138733},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.34619998931884766}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6373000144958496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6234999895095825},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.6082000136375427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5985999703407288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159000158309937},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4357999861240387},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.39629998803138733},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3736000061035156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3691999912261963},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.32350000739097595},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3176000118255615},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.29670000076293945}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15547","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15547","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8117566704750061}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modeling":[0],"plausible":[1,34,171],"student":[2,41,173,190],"misconceptions":[3,22],"is":[4],"critical":[5,161],"for":[6,50],"AI":[7],"in":[8,69,120,149],"education.":[9],"In":[10],"this":[11],"work,":[12],"we":[13,142],"examine":[14],"how":[15],"large":[16],"language":[17],"models":[18,87],"(LLMs)":[19],"reason":[20],"about":[21],"when":[23,169],"generating":[24,170],"multiple-choice":[25],"distractors,":[26],"a":[27,48,77,104,179],"task":[28],"that":[29,114,144],"requires":[30],"modeling":[31],"incorrect":[32,172,189],"yet":[33],"answers":[35],"by":[36,55,157],"coordinating":[37],"solution":[38,124,148,168],"knowledge,":[39],"simulating":[40,132],"misconceptions,":[42,100],"and":[43,62,83,96,101,125,181,192],"evaluating":[44],"plausibility.":[45],"We":[46],"introduce":[47],"taxonomy":[49],"analyzing":[51],"the":[52,70,86,90,122,136,146,150,160,166],"strategies":[53],"used":[54],"state-of-the-art":[56],"LLMs,":[57],"examining":[58],"their":[59,81],"reasoning":[60,191],"procedures":[61],"comparing":[63],"them":[64],"to":[65,165,187],"established":[66],"best":[67,84],"practices":[68],"learning":[71],"sciences.":[72],"Our":[73],"structured":[74,180],"analysis":[75,109,177],"reveals":[76,113],"surprising":[78],"alignment":[79,153],"between":[80],"processes":[82],"practices:":[85],"typically":[88],"solve":[89],"problem":[91],"correctly":[92],"first,":[93],"then":[94],"articulate":[95],"simulate":[97],"multiple":[98],"potential":[99],"finally":[102],"select":[103],"set":[105],"of":[106,110,163],"distractors.":[107,195],"An":[108],"failure":[111],"modes":[112],"errors":[115,133],"arise":[116],"primarily":[117],"from":[118],"failures":[119],"recovering":[121],"correct":[123,147,167],"selecting":[126],"among":[127],"response":[128],"candidates,":[129],"rather":[130],"than":[131],"or":[134],"structuring":[135],"process.":[137],"Consistent":[138],"with":[139,154],"these":[140],"results,":[141],"find":[143],"providing":[145],"prompt":[151],"improves":[152],"human-authored":[155],"distractors":[156],"8%,":[158],"highlighting":[159],"role":[162],"anchoring":[164],"reasoning.":[174],"Overall,":[175],"our":[176],"offers":[178],"interpretable":[182],"lens":[183],"into":[184],"LLMs'":[185],"ability":[186],"model":[188],"produce":[193],"high-quality":[194]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}