{"id":"https://openalex.org/W3029358046","doi":"https://doi.org/10.1145/3313831.3376469","title":"Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks","display_name":"Towards Value-Adaptive Instruction: A Data-Driven Method for Addressing Bias in Argument Evaluation Tasks","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3029358046","doi":"https://doi.org/10.1145/3313831.3376469","mag":"3029358046"},"language":"en","primary_location":{"id":"doi:10.1145/3313831.3376469","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313831.3376469","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376469","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376469","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030975112","display_name":"Nicholas Diana","orcid":"https://orcid.org/0000-0002-8187-3692"},"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":true,"raw_author_name":"Nicholas Diana","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060576109","display_name":"John Stamper","orcid":"https://orcid.org/0000-0002-2291-1468"},"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":"John Stamper","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062550465","display_name":"Kenneth R. Koedinger","orcid":"https://orcid.org/0000-0002-5850-4768"},"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":"Ken Koedinger","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030975112"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.927,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80344717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12978","display_name":"Innovative Teaching Methodologies in Social Sciences","score":0.983299970626831,"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/T12978","display_name":"Innovative Teaching Methodologies in Social Sciences","score":0.983299970626831,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9621999859809875,"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/argument","display_name":"Argument (complex analysis)","score":0.9354185461997986},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.619511067867279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.613580048084259},{"id":"https://openalex.org/keywords/argument-map","display_name":"Argument map","score":0.45883625745773315},{"id":"https://openalex.org/keywords/logical-reasoning","display_name":"Logical reasoning","score":0.42460769414901733},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3685663938522339},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3279135525226593},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31643980741500854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28337588906288147},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.2734770178794861},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13201874494552612},{"id":"https://openalex.org/keywords/argumentation-theory","display_name":"Argumentation theory","score":0.11491203308105469}],"concepts":[{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.9354185461997986},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.619511067867279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613580048084259},{"id":"https://openalex.org/C72196577","wikidata":"https://www.wikidata.org/wiki/Q1645946","display_name":"Argument map","level":3,"score":0.45883625745773315},{"id":"https://openalex.org/C43971567","wikidata":"https://www.wikidata.org/wiki/Q3142865","display_name":"Logical reasoning","level":2,"score":0.42460769414901733},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3685663938522339},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3279135525226593},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31643980741500854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28337588906288147},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2734770178794861},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13201874494552612},{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.11491203308105469},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313831.3376469","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313831.3376469","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376469","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3313831.3376469","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3313831.3376469","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3313831.3376469","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3029358046.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1954045752","https://openalex.org/W1964273699","https://openalex.org/W1973894287","https://openalex.org/W2056921451","https://openalex.org/W2113386642","https://openalex.org/W2116535710","https://openalex.org/W2138131209","https://openalex.org/W2167251605","https://openalex.org/W2506758993","https://openalex.org/W2912225506","https://openalex.org/W3124377921","https://openalex.org/W3125471671","https://openalex.org/W3125923573","https://openalex.org/W3216713991","https://openalex.org/W4299980321"],"related_works":["https://openalex.org/W10798741","https://openalex.org/W185553","https://openalex.org/W14187095","https://openalex.org/W3927449","https://openalex.org/W14614174","https://openalex.org/W2888030","https://openalex.org/W10050045","https://openalex.org/W13722147","https://openalex.org/W11208106","https://openalex.org/W6383255"],"abstract_inverted_index":{"As":[0],"the":[1,26,45,52,56,62,86,103],"media":[2,147],"landscape":[3],"is":[4,113],"increasingly":[5],"populated":[6],"by":[7,44],"less":[8],"than":[9],"reputable":[10],"sources":[11],"of":[12,89,110],"information,":[13],"educators":[14],"have":[15],"turned":[16],"to":[17,33,39,72,80,85,116,136],"argument":[18,37,57,63,82,101],"evaluation":[19,83],"training":[20],"as":[21],"a":[22,40,93,98,121],"potential":[23],"solution.":[24],"Unfortunately,":[25,107],"bias":[27,138],"literature":[28],"suggests":[29],"that":[30,102],"our":[31,48,65],"ability":[32],"objectively":[34],"evaluate":[35],"an":[36,100],"is,":[38],"large":[41],"extent,":[42],"determined":[43],"relationship":[46],"between":[47],"own":[49],"beliefs":[50,53,88],"and":[51,142],"latent":[54],"in":[55,128,139],"we":[58,67],"are":[59,68],"evaluating.":[60],"If":[61],"supports":[64],"worldview,":[66],"much":[69],"more":[70],"likely":[71],"overlook":[73],"logical":[74],"errors.":[75],"Teachers":[76],"recognize":[77],"this":[78,108],"need":[79],"adapt":[81],"instruction":[84,112,127],"specific":[87],"students.":[90],"For":[91],"instance,":[92],"teacher":[94],"might":[95],"intentionally":[96],"assign":[97],"student":[99,104],"disagrees":[105],"with.":[106],"kind":[109],"value-adaptive":[111,126],"infrequent":[114],"due":[115],"its":[117],"unscalability.":[118],"We":[119],"propose":[120],"novel":[122],"method":[123,132],"for":[124],"data-driven":[125],"instructional":[129],"technologies.":[130],"This":[131],"can":[133],"be":[134],"used":[135],"combat":[137],"real-world":[140],"contexts":[141],"support":[143],"human":[144],"reasoning":[145],"during":[146],"consumption.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}