{"id":"https://openalex.org/W2798873504","doi":"https://doi.org/10.1145/3184558.3186957","title":"Machine Learning for the Peer Assessment Credibility","display_name":"Machine Learning for the Peer Assessment Credibility","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798873504","doi":"https://doi.org/10.1145/3184558.3186957","mag":"2798873504"},"language":"en","primary_location":{"id":"doi:10.1145/3184558.3186957","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3184558.3186957","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186957&type=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":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186957&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021693584","display_name":"Yingru Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yingru Lin","raw_affiliation_strings":["University of Tasmania, Hobart, Australia"],"affiliations":[{"raw_affiliation_string":"University of Tasmania, Hobart, Australia","institution_ids":["https://openalex.org/I129801699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084419965","display_name":"Soyeon Caren Han","orcid":"https://orcid.org/0000-0002-1948-6819"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Soyeon Caren Han","raw_affiliation_strings":["University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069403329","display_name":"Byeong Ho Kang","orcid":"https://orcid.org/0000-0003-3476-8838"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Byeong Ho Kang","raw_affiliation_strings":["University of Tasmania, Hobart, Australia"],"affiliations":[{"raw_affiliation_string":"University of Tasmania, Hobart, Australia","institution_ids":["https://openalex.org/I129801699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021693584"],"corresponding_institution_ids":["https://openalex.org/I129801699"],"apc_list":null,"apc_paid":null,"fwci":0.829,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77946982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10959","display_name":"Student Assessment and Feedback","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"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/T10959","display_name":"Student Assessment and Feedback","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9758999943733215,"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/T11122","display_name":"Online Learning and Analytics","score":0.9409999847412109,"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/credibility","display_name":"Credibility","score":0.9506271481513977},{"id":"https://openalex.org/keywords/peer-assessment","display_name":"Peer assessment","score":0.7907407283782959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064260244369507},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5844402313232422},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5825698971748352},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.459727942943573},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.45006030797958374},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.44663873314857483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36212795972824097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3407559394836426},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18152958154678345},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.12391817569732666}],"concepts":[{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.9506271481513977},{"id":"https://openalex.org/C53839665","wikidata":"https://www.wikidata.org/wiki/Q2067088","display_name":"Peer assessment","level":2,"score":0.7907407283782959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064260244369507},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5844402313232422},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5825698971748352},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.459727942943573},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.45006030797958374},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.44663873314857483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36212795972824097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3407559394836426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18152958154678345},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.12391817569732666},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3184558.3186957","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3184558.3186957","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186957&type=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":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"},{"id":"pmh:oai:ecite.utas.edu.au:125747","is_oa":false,"landing_page_url":"http://ecite.utas.edu.au/125747","pdf_url":null,"source":{"id":"https://openalex.org/S4306401569","display_name":"eCite Digital Repository (University of Tasmania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129801699","host_organization_name":"University of Tasmania","host_organization_lineage":["https://openalex.org/I129801699"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Edited"},{"id":"pmh:oai:figshare.com:article/23157878","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Machine_learning_for_the_peer_assessment_credibility/23157878","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3184558.3186957","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3184558.3186957","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186957&type=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":"Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G266213956","display_name":null,"funder_award_id":"10049079","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G8582691448","display_name":null,"funder_award_id":"MOTIE, Korea","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G992484961","display_name":null,"funder_award_id":"Korea","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320318019","display_name":"Asian Office of Aerospace Research and Development","ror":null},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798873504.pdf","grobid_xml":"https://content.openalex.org/works/W2798873504.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1520074575","https://openalex.org/W1968740524","https://openalex.org/W2089778334","https://openalex.org/W2142896830","https://openalex.org/W2486706590","https://openalex.org/W2576878333","https://openalex.org/W2593268930","https://openalex.org/W2611357751"],"related_works":["https://openalex.org/W2798873504","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W4243803609","https://openalex.org/W2030894524","https://openalex.org/W2350430350","https://openalex.org/W2592385415","https://openalex.org/W102063058"],"abstract_inverted_index":{"The":[0,48,146],"peer":[1,18,34,66,99,159],"assessment":[2,16,35,61,100,124],"approach":[3,36],"is":[4,53,107],"considered":[5],"to":[6,20,31,41,54,128,134,156],"be":[7,154],"one":[8],"of":[9,50,59,78,139,170],"the":[10,56,75,98,151,168],"best":[11],"solutions":[12],"for":[13,37],"scaling":[14],"both":[15],"and":[17,46,84,92,102,125],"learning":[19],"global":[21],"classrooms,":[22],"such":[23],"as":[24,161],"MOOCs.":[25],"However,":[26],"some":[27],"academic":[28],"staff":[29],"hesitate":[30],"use":[32,126],"a":[33,130],"their":[38],"classes":[39],"due":[40],"concerns":[42],"about":[43],"its":[44,110,137],"credibility":[45,57,76,111,140],"reliability.":[47],"focus":[49],"our":[51],"research":[52],"detect":[55],"level":[58,77,112,138],"each":[60,104,122],"performed":[62],"by":[63,95,113],"students":[64,96],"during":[65,97],"assessment.":[67],"We":[68,87,117],"found":[69],"three":[70],"major":[71],"scopes":[72],"in":[73,141,167],"assessing":[74],"evaluations,":[79],"1)":[80],"Informativity,":[81],"2)":[82],"Accuracy,":[83],"3)":[85],"Consistency.":[86],"collect":[88],"assessments,":[89],"including":[90],"comments":[91],"grades":[93],"provided":[94],"process":[101],"then":[103],"feedback-and-grade":[105],"pair":[106],"labeled":[108,123],"with":[109,165],"Mechanical":[114],"Turk":[115],"evaluators.":[116],"extract":[118],"relevant":[119],"features":[120],"from":[121],"them":[127],"build":[129],"classifier":[131],"that":[132,150],"attempts":[133],"automatically":[135,157],"assess":[136],"C5.0":[142],"Decision":[143],"Tree":[144],"classifier.":[145],"evaluation":[147],"results":[148],"show":[149],"model":[152],"can":[153],"used":[155],"classify":[158],"assessments":[160],"credible":[162],"or":[163],"non-credible,":[164],"accuracy":[166],"range":[169],"88%.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}