{"id":"https://openalex.org/W2943012441","doi":"https://doi.org/10.1145/3300115.3309515","title":"Automatic Clustering of Different Solutions to Programming Assignments in Computing Education","display_name":"Automatic Clustering of Different Solutions to Programming Assignments in Computing Education","publication_year":2019,"publication_date":"2019-05-03","ids":{"openalex":"https://openalex.org/W2943012441","doi":"https://doi.org/10.1145/3300115.3309515","mag":"2943012441"},"language":"en","primary_location":{"id":"doi:10.1145/3300115.3309515","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3300115.3309515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Global Computing Education","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/A5017939754","display_name":"Lei Gao","orcid":"https://orcid.org/0000-0001-5301-0876"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Gao","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083468959","display_name":"Bo Wan","orcid":"https://orcid.org/0000-0002-3410-9560"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wan","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101415795","display_name":"Cheng Fang","orcid":"https://orcid.org/0009-0000-8131-6178"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Fang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356496","display_name":"Yangyang Li","orcid":"https://orcid.org/0000-0002-1328-8889"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Li","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111598130","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0002-4971-5029"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017939754"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.3566,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8557993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.8055548667907715},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8000924587249756},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7830440998077393},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6667864918708801},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4888445734977722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4593660235404968},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4116186797618866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4086288809776306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40708133578300476},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34124284982681274},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12794780731201172},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07666590809822083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055548667907715},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8000924587249756},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7830440998077393},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6667864918708801},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4888445734977722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4593660235404968},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4116186797618866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4086288809776306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40708133578300476},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34124284982681274},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12794780731201172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07666590809822083},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3300115.3309515","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3300115.3309515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Global Computing Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W92214286","https://openalex.org/W2012283428","https://openalex.org/W2058072086","https://openalex.org/W2076771354","https://openalex.org/W2132914434","https://openalex.org/W2134202849","https://openalex.org/W2138756793","https://openalex.org/W2144344516","https://openalex.org/W2145009222","https://openalex.org/W2165365113","https://openalex.org/W2295100577","https://openalex.org/W2299643279","https://openalex.org/W2766078762","https://openalex.org/W2949364901","https://openalex.org/W2996816727","https://openalex.org/W3088498551","https://openalex.org/W4230514184"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W1926736923","https://openalex.org/W3081644756"],"abstract_inverted_index":{"A":[0],"computer":[1],"programming":[2,114],"assignment":[3],"may":[4],"have":[5,85],"various":[6],"solutions,":[7,55],"and":[8,18,27,63,141],"extracting":[9],"them":[10],"is":[11,46],"of":[12,47,133],"great":[13],"significance":[14],"for":[15,25,69,107,139],"both":[16],"teaching":[17],"learning.":[19],"However,":[20],"it":[21],"could":[22],"be":[23],"challenging":[24],"instructors":[26,140],"students":[28],"to":[29,111],"identify":[30],"the":[31,52,71,82,120],"differences":[32,53],"between":[33,54,73],"those":[34],"solutions":[35,110,135],"if":[36],"they":[37],"are":[38],"on":[39,60,89,99],"a":[40,65,76,86,95,112],"large":[41],"scale.":[42],"Since":[43],"code":[44,61,90,100],"similarity":[45,62,72,101],"vital":[48],"importance":[49],"in":[50,75,128],"identifying":[51,81],"we":[56,93],"review":[57],"previous":[58],"researches":[59],"design":[64],"neural":[66],"network-based":[67],"algorithm":[68,97,122],"detecting":[70],"codes":[74],"pair":[77],"as":[78,80],"well":[79],"features":[83],"that":[84,102,119],"big":[87],"impact":[88],"similarity.":[91],"Then":[92],"develop":[94],"clustering":[96,121],"based":[98],"can":[103,123,136],"automatically":[104],"generate":[105],"clusters":[106,127],"all":[108],"correct":[109],"given":[113],"assignment.":[115],"Our":[116,131],"experiment":[117],"demonstrates":[118],"successfully":[124],"obtain":[125],"distinctive":[126],"our":[129],"dataset.":[130],"analysis":[132],"typical":[134],"provide":[137],"inspirations":[138],"students.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
