{"id":"https://openalex.org/W3197500039","doi":"https://doi.org/10.1145/3466725.3466728","title":"VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications","display_name":"VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications","publication_year":2021,"publication_date":"2021-06-02","ids":{"openalex":"https://openalex.org/W3197500039","doi":"https://doi.org/10.1145/3466725.3466728","mag":"3197500039"},"language":"en","primary_location":{"id":"doi:10.1145/3466725.3466728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466725.3466728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FabLearn Europe / MakeEd 2021 - An International Conference on Computing, Design and Making in Education","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://pure.au.dk/ws/files/281558910/VotestratesML_A_High_School_Learning_Tool_for_Exploring_Machine_Learning_and_its_Societal_Implications_Accepted_manuscript.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020134744","display_name":"Magnus H. Kaspersen","orcid":null},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Magnus Hoeholt Kaspersen","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033301671","display_name":"Karl-Emil Kj\u00e6r Bilstrup","orcid":"https://orcid.org/0000-0002-9285-7372"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Karl-Emil Kjaer Bilstrup","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039213564","display_name":"Maarten Van Mechelen","orcid":"https://orcid.org/0000-0001-7001-9135"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Maarten Van Mechelen","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044341010","display_name":"Arthur Hjorth","orcid":"https://orcid.org/0000-0001-8652-0354"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Arthur Hjorth","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010950329","display_name":"Niels Olof Bouvin","orcid":"https://orcid.org/0000-0001-8421-4951"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Niels Olof Bouvin","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030281401","display_name":"Marianne Graves Petersen","orcid":"https://orcid.org/0000-0002-4153-803X"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Marianne Graves Petersen","raw_affiliation_strings":["Aarhus University, Denmark"],"affiliations":[{"raw_affiliation_string":"Aarhus University, Denmark","institution_ids":["https://openalex.org/I204337017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020134744"],"corresponding_institution_ids":["https://openalex.org/I204337017"],"apc_list":null,"apc_paid":null,"fwci":4.1383,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94174909,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9672999978065491,"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"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9550999999046326,"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":0.6457059383392334},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5834877490997314},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5819559097290039},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5283475518226624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5023994445800781},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4702132046222687},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45457005500793457},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.44394341111183167},{"id":"https://openalex.org/keywords/literacy","display_name":"Literacy","score":0.4306161105632782},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.35738134384155273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3541797697544098},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33616122603416443},{"id":"https://openalex.org/keywords/pedagogy","display_name":"Pedagogy","score":0.15445557236671448},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14394444227218628},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.1193414032459259},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11243671178817749},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.09084340929985046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6457059383392334},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5834877490997314},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5819559097290039},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5283475518226624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023994445800781},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4702132046222687},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45457005500793457},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.44394341111183167},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.4306161105632782},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.35738134384155273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3541797697544098},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33616122603416443},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.15445557236671448},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14394444227218628},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1193414032459259},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11243671178817749},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.09084340929985046},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"doi:10.1145/3466725.3466728","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466725.3466728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"FabLearn Europe / MakeEd 2021 - An International Conference on Computing, Design and Making in Education","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/c159cde3-f055-41c2-8bcf-601a80256bc8","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/c159cde3-f055-41c2-8bcf-601a80256bc8","pdf_url":"https://pure.au.dk/ws/files/281558910/VotestratesML_A_High_School_Learning_Tool_for_Exploring_Machine_Learning_and_its_Societal_Implications_Accepted_manuscript.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kaspersen, M H, Bilstrup, K-E K, Van Mechelen, M, Hjorth, H A, Bouvin, N O & Petersen, M G 2021, VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications. in Proceedings of 5th FabLearn Europe / MakeEd Conference 2021., 3466728, Association for Computing Machinery, 5th International Conference on Computing, Design and Making in Education, FabLearn Europe / MakeEd 2021, Virtual, Online, Switzerland, 02/06/2021. https://doi.org/10.1145/3466725.3466728","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/c159cde3-f055-41c2-8bcf-601a80256bc8","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/c159cde3-f055-41c2-8bcf-601a80256bc8","pdf_url":"https://pure.au.dk/ws/files/281558910/VotestratesML_A_High_School_Learning_Tool_for_Exploring_Machine_Learning_and_its_Societal_Implications_Accepted_manuscript.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kaspersen, M H, Bilstrup, K-E K, Van Mechelen, M, Hjorth, H A, Bouvin, N O & Petersen, M G 2021, VotestratesML: A High School Learning Tool for Exploring Machine Learning and its Societal Implications. in Proceedings of 5th FabLearn Europe / MakeEd Conference 2021., 3466728, Association for Computing Machinery, 5th International Conference on Computing, Design and Making in Education, FabLearn Europe / MakeEd 2021, Virtual, Online, Switzerland, 02/06/2021. https://doi.org/10.1145/3466725.3466728","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1701332074","display_name":null,"funder_award_id":"28831","funder_id":"https://openalex.org/F4320310490","funder_display_name":"Villum Fonden"},{"id":"https://openalex.org/G3430864477","display_name":null,"funder_award_id":"#28831","funder_id":"https://openalex.org/F4320310490","funder_display_name":"Villum Fonden"}],"funders":[{"id":"https://openalex.org/F4320309928","display_name":"Aarhus Universitet","ror":"https://ror.org/01aj84f44"},{"id":"https://openalex.org/F4320310490","display_name":"Villum Fonden","ror":"https://ror.org/007ww2d15"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197500039.pdf","grobid_xml":"https://content.openalex.org/works/W3197500039.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1556808170","https://openalex.org/W1990170056","https://openalex.org/W2045004201","https://openalex.org/W2082817479","https://openalex.org/W2100029531","https://openalex.org/W2296242655","https://openalex.org/W2518331948","https://openalex.org/W2621651915","https://openalex.org/W2650337427","https://openalex.org/W2886415993","https://openalex.org/W2889295596","https://openalex.org/W2941382599","https://openalex.org/W2941915890","https://openalex.org/W2948288662","https://openalex.org/W2954022360","https://openalex.org/W2956066828","https://openalex.org/W2964862450","https://openalex.org/W2965058023","https://openalex.org/W2972853064","https://openalex.org/W2994804642","https://openalex.org/W3029022390","https://openalex.org/W3031082493","https://openalex.org/W3037389942","https://openalex.org/W3037611544","https://openalex.org/W3039424458","https://openalex.org/W3046920401","https://openalex.org/W3086049162","https://openalex.org/W3122548859","https://openalex.org/W3174856668","https://openalex.org/W4235487001","https://openalex.org/W4300867262"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W3200517220","https://openalex.org/W2374569605","https://openalex.org/W2386062718","https://openalex.org/W4393047559","https://openalex.org/W899618282"],"abstract_inverted_index":{"The":[0],"increased":[1],"use":[2],"of":[3,94,117,126],"Artificial":[4],"Intelligence,":[5],"and":[6,36,44,58,81,100,108,136,140],"in":[7,19,106,122,131],"particular":[8,21],"Machine":[9],"Learning":[10],"(ML)":[11],"raises":[12],"the":[13,30,37,54,63,115],"need":[14],"for":[15,102,138],"widespread":[16],"AI":[17],"literacy,":[18],"three":[20,124],"areas":[22,125],"related":[23],"to":[24,39,59,67,78],"ML;":[25],"understanding":[26,107],"how":[27],"ML":[28,34,48,130],"works,":[29],"process":[31],"behind":[32],"creating":[33],"models,":[35],"ability":[38],"reflect":[40,97],"on":[41,53,85,91,98,110],"its":[42],"personal":[43],"societal":[45],"implications.":[46],"Existing":[47],"learning":[49],"tools":[50],"focus":[51],"primarily":[52],"first":[55],"two":[56],"areas,":[57],"a":[60,73,132],"lesser":[61],"degree":[62],"third.":[64],"In":[65],"order":[66],"address":[68],"this,":[69],"we":[70,96],"designed":[71],"VotestratesML;":[72],"tool":[74],"allowing":[75,137],"K-12":[76,104],"students":[77,105],"build":[79],"models":[80],"make":[82],"predictions":[83],"based":[84],"real":[86],"world":[87],"voting":[88],"data.":[89],"Based":[90],"in-situ":[92],"deployments":[93],"VotestratesML,":[95],"opportunities":[99],"challenges":[101],"engaging":[103],"reflecting":[109],"ML.":[111],"We":[112],"find":[113],"that":[114],"design":[116],"VotestratesML":[118],"supports":[119],"students\u2019":[120],"engagement":[121],"all":[123],"ML,":[127],"through":[128],"grounding":[129],"known":[133],"subject":[134],"area":[135],"collaboration":[139],"competition.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}