{"id":"https://openalex.org/W4392861678","doi":"https://doi.org/10.1145/3626253.3635520","title":"Programming Plagiarism Detection with Learner Data","display_name":"Programming Plagiarism Detection with Learner Data","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4392861678","doi":"https://doi.org/10.1145/3626253.3635520"},"language":"en","primary_location":{"id":"doi:10.1145/3626253.3635520","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626253.3635520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2","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/A5065232236","display_name":"Yifan Song","orcid":"https://orcid.org/0009-0004-6205-2655"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Song","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, IL, USA"],"raw_orcid":"https://orcid.org/0009-0004-6205-2655","affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032589077","display_name":"Yuanxin Wang","orcid":"https://orcid.org/0000-0001-8183-9163"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanxin Wang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8183-9163","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076326571","display_name":"Marshall An","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marshall An","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0005-5165-640X","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026486394","display_name":"Christopher Bogart","orcid":"https://orcid.org/0000-0001-8581-115X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Bogart","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8581-115X","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001245246","display_name":"Majd Sakr","orcid":"https://orcid.org/0000-0001-5150-8259"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majd Sakr","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5150-8259","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9076,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7715561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1826","last_page":"1827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/cheating","display_name":"Cheating","score":0.8798959255218506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8151787519454956},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.6945582628250122},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6531988382339478},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5471318364143372},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5299659371376038},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5287384986877441},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.49345293641090393},{"id":"https://openalex.org/keywords/code-refactoring","display_name":"Code refactoring","score":0.48705604672431946},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3943485617637634},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.36166346073150635},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35937339067459106},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.25661033391952515},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2185172736644745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20389914512634277},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.09963113069534302}],"concepts":[{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.8798959255218506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151787519454956},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.6945582628250122},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6531988382339478},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5471318364143372},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5299659371376038},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5287384986877441},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.49345293641090393},{"id":"https://openalex.org/C152752567","wikidata":"https://www.wikidata.org/wiki/Q116877","display_name":"Code refactoring","level":3,"score":0.48705604672431946},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3943485617637634},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.36166346073150635},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35937339067459106},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.25661033391952515},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2185172736644745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20389914512634277},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.09963113069534302},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626253.3635520","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626253.3635520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2111295912","https://openalex.org/W4285043083","https://openalex.org/W4293227322"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W4391249598","https://openalex.org/W4313549863","https://openalex.org/W2012288173","https://openalex.org/W2317428717","https://openalex.org/W194942058","https://openalex.org/W2991900792","https://openalex.org/W1985388819","https://openalex.org/W2088986462"],"abstract_inverted_index":{"Courses":[0],"with":[1,143,150],"programming":[2,135,162],"assignments":[3,73],"have":[4,76],"long":[5],"faced":[6],"the":[7,18,53,87,96,130],"issue":[8],"of":[9,20,92,98,141],"academic":[10],"integrity":[11],"violations":[12],"(AIV)":[13],"where":[14],"cheating":[15,142,172],"could":[16],"harm":[17],"outcome":[19],"student":[21],"learning.":[22],"Checking":[23],"code":[24,50,57,81],"similarity":[25,58,82],"in":[26,158],"students'":[27],"final":[28],"submissions":[29],"is":[30,42],"a":[31,126,159],"common":[32],"way":[33],"to":[34,51,65,95,128],"mitigate":[35],"this":[36,39,122,156],"issue.":[37],"But":[38],"single":[40],"analysis":[41],"insufficient":[43],"as":[44],"1)":[45],"students":[46],"can":[47],"refactor":[48],"their":[49],"evade":[52],"check,":[54],"2)":[55],"mere":[56],"may":[59,75],"not":[60,117],"be":[61],"strong":[62],"enough":[63],"evidence":[64,140],"support":[66],"an":[67],"AIV":[68],"case,":[69],"particularly":[70],"for":[71,133],"simpler":[72],"that":[74,115],"similar":[77],"solutions,":[78],"and":[79,90,152,175],"3)":[80],"cannot":[83],"reveal":[84],"much":[85],"about":[86],"actual":[88],"circumstances":[89],"behaviors":[91],"plagiarism.":[93],"Due":[94],"lack":[97],"supporting":[99,139],"data":[100],"or":[101,110],"tools,":[102],"many":[103,171],"educators":[104],"either":[105],"abandon":[106],"solving":[107],"these":[108],"challenges":[109,132],"rely":[111],"on":[112],"manual":[113],"approaches":[114],"are":[116],"feasible":[118],"at":[119],"scale.":[120],"In":[121],"paper,":[123],"we":[124],"propose":[125],"workflow":[127,157],"solve":[129],"above":[131],"large":[134,160],"classes":[136],"by":[137],"providing":[138],"additional":[144],"learner":[145],"data:":[146],"detailed":[147],"submission":[148],"timelines":[149],"scores":[151],"source":[153],"code.":[154],"Running":[155],"advanced":[161],"course":[163],"over":[164],"several":[165],"years":[166],"has":[167],"helped":[168],"us":[169],"identify":[170],"cases":[173],"effectively":[174],"efficiently.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}