{"id":"https://openalex.org/W2280534196","doi":"https://doi.org/10.1145/2940716.2940748","title":"How Effective Can Simple Ordinal Peer Grading Be?","display_name":"How Effective Can Simple Ordinal Peer Grading Be?","publication_year":2016,"publication_date":"2016-07-21","ids":{"openalex":"https://openalex.org/W2280534196","doi":"https://doi.org/10.1145/2940716.2940748","mag":"2280534196"},"language":"en","primary_location":{"id":"doi:10.1145/2940716.2940748","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2940716.2940748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM Conference on Economics and Computation","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/A5046035189","display_name":"Ioannis Caragiannis","orcid":"https://orcid.org/0000-0002-4918-7131"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Caragiannis","raw_affiliation_strings":["University of Patras, Rion-Patras, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras, Rion-Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026671559","display_name":"George A. Krimpas","orcid":"https://orcid.org/0009-0007-0008-547X"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George A. Krimpas","raw_affiliation_strings":["University of Patras, Rion-Patras, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras, Rion-Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090907162","display_name":"Alexandros A. Voudouris","orcid":"https://orcid.org/0000-0003-1105-3856"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexandros A. Voudouris","raw_affiliation_strings":["University of Patras, Rion-Patras, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras, Rion-Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046035189"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":0.857,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82767014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9768000245094299,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9768000245094299,"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/T10991","display_name":"Game Theory and Voting Systems","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119910478591919},{"id":"https://openalex.org/keywords/ordinal-optimization","display_name":"Ordinal optimization","score":0.5897158980369568},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5720344185829163},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5233439803123474},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.407740980386734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37665361166000366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20740482211112976},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06508731842041016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119910478591919},{"id":"https://openalex.org/C81386100","wikidata":"https://www.wikidata.org/wiki/Q7100792","display_name":"Ordinal optimization","level":3,"score":0.5897158980369568},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5720344185829163},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5233439803123474},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.407740980386734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37665361166000366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20740482211112976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06508731842041016},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2940716.2940748","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2940716.2940748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1181125918","https://openalex.org/W1854214752","https://openalex.org/W1986978101","https://openalex.org/W2006437246","https://openalex.org/W2012215691","https://openalex.org/W2051834357","https://openalex.org/W2057797785","https://openalex.org/W2063445365","https://openalex.org/W2067602930","https://openalex.org/W2070693116","https://openalex.org/W2088700588","https://openalex.org/W2096426146","https://openalex.org/W2103868989","https://openalex.org/W2115073724","https://openalex.org/W2122588206","https://openalex.org/W2140897975","https://openalex.org/W2151970144","https://openalex.org/W2166164009","https://openalex.org/W2186184713","https://openalex.org/W2241862190","https://openalex.org/W2295054684","https://openalex.org/W2340985688","https://openalex.org/W2484891765","https://openalex.org/W2560674852","https://openalex.org/W2560931883","https://openalex.org/W2605961645","https://openalex.org/W2607666848","https://openalex.org/W2913028927","https://openalex.org/W2950051380","https://openalex.org/W2962914180","https://openalex.org/W2963433558","https://openalex.org/W2963755303","https://openalex.org/W3006452435","https://openalex.org/W4253646065","https://openalex.org/W4300616132"],"related_works":["https://openalex.org/W2525848170","https://openalex.org/W1536163558","https://openalex.org/W2058716166","https://openalex.org/W3021328243","https://openalex.org/W3048680633","https://openalex.org/W2506242593","https://openalex.org/W3110712162","https://openalex.org/W4246163636","https://openalex.org/W3176193384","https://openalex.org/W4230471374"],"abstract_inverted_index":{"Ordinal":[0],"peer":[1],"grading":[2,30,104,182],"has":[3],"been":[4],"proposed":[5],"as":[6,36,137],"a":[7,56,74,83,92,126,133,155],"simple":[8,87],"and":[9,90,154,162],"scalable":[10],"solution":[11],"for":[12,95],"computing":[13],"reliable":[14],"information":[15,101,180],"about":[16,102,181],"student":[17,45],"performance":[18,129,172],"in":[19,51,169],"massive":[20],"open":[21],"online":[22],"courses.":[23],"The":[24],"idea":[25],"is":[26,46,108,139,184],"to":[27,32,48,115,125,141,165],"outsource":[28],"the":[29,33,39,70,103,110,117,171],"task":[31],"students":[34,107,145],"themselves":[35],"follows.":[37],"After":[38],"end":[40],"of":[41,53,58,86,106,128,173],"an":[42],"exam,":[43],"each":[44],"asked":[47],"rank":[49],"---":[50,55],"terms":[52],"quality":[54],"bundle":[57],"exam":[59],"papers":[60],"by":[61],"fellow":[62],"students.":[63,80],"An":[64],"aggregation":[65,88,174],"rule":[66,119,135],"will":[67],"then":[68],"combine":[69],"individual":[71],"rankings":[72],"into":[73],"global":[75],"one":[76],"that":[77,158],"contains":[78],"all":[79],"We":[81],"define":[82],"broad":[84],"class":[85,122],"rules":[89,175],"present":[91,151],"theoretical":[93],"framework":[94,111],"assessing":[96],"their":[97],"effectiveness.":[98],"When":[99],"statistical":[100],"behaviour":[105,183],"available,":[109],"can":[112],"be":[113,142,166],"used":[114],"compute":[116],"optimal":[118,143],"from":[120],"this":[121],"with":[123],"respect":[124],"series":[127],"objectives.":[130],"For":[131],"example,":[132],"natural":[134],"known":[136],"Borda":[138],"proved":[140],"when":[144,177],"grade":[146],"correctly.":[147],"In":[148],"addition,":[149],"we":[150],"extensive":[152],"simulations":[153],"field":[156],"experiment":[157],"validate":[159],"our":[160],"theory":[161],"prove":[163],"it":[164],"extremely":[167],"accurate":[168],"predicting":[170],"even":[176],"only":[178],"rough":[179],"available.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
