{"id":"https://openalex.org/W3007240025","doi":"https://doi.org/10.1109/bigdata47090.2019.9005446","title":"A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning","display_name":"A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007240025","doi":"https://doi.org/10.1109/bigdata47090.2019.9005446","mag":"3007240025"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011755632","display_name":"Izumi Hinako","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hinako Izumi","raw_affiliation_strings":["Collage of Media Art, Science and Technology, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collage of Media Art, Science and Technology, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049129001","display_name":"Masaki Matsubara","orcid":"https://orcid.org/0000-0003-1950-683X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Matsubara","raw_affiliation_strings":["Faculty of Library, Information and Media Science, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Library, Information and Media Science, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004792839","display_name":"Chiemi Watanabe","orcid":"https://orcid.org/0009-0005-4716-404X"},"institutions":[{"id":"https://openalex.org/I24254649","display_name":"Tsukuba University of Technology","ror":"https://ror.org/057bx9y85","country_code":"JP","type":"education","lineage":["https://openalex.org/I24254649"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chiemi Watanabe","raw_affiliation_strings":["Tsukuba Univesity of Technology, Faculty of Industrial Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsukuba Univesity of Technology, Faculty of Industrial Technology, Japan","institution_ids":["https://openalex.org/I24254649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071533497","display_name":"Atsuyuki Morishima","orcid":"https://orcid.org/0000-0003-4606-9065"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuyuki Morishima","raw_affiliation_strings":["Faculty of Library, Information and Media Science, University of Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Library, Information and Media Science, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.286,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54373522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"4624","last_page":"4627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9987999796867371,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9987999796867371,"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/T11122","display_name":"Online Learning and Analytics","score":0.9900000095367432,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9843000173568726,"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/workflow","display_name":"Workflow","score":0.8451980352401733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7325356006622314},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6910194158554077},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6235031485557556},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48361936211586},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3103850483894348},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08258891105651855}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8451980352401733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325356006622314},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6910194158554077},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6235031485557556},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48361936211586},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3103850483894348},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08258891105651855},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1520074575","https://openalex.org/W1541445617","https://openalex.org/W2168765606","https://openalex.org/W2599032673","https://openalex.org/W2604039333","https://openalex.org/W2607311634","https://openalex.org/W2726137762","https://openalex.org/W2898764742","https://openalex.org/W2908038212","https://openalex.org/W2988880358","https://openalex.org/W4243685323","https://openalex.org/W6735770549","https://openalex.org/W6770119653"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662"],"abstract_inverted_index":{"Peer":[0],"learning":[1,17],"is":[2,23,54,70,105],"a":[3,38,55,81],"known":[4],"effective":[5,106],"method":[6],"of":[7,41,97],"education,":[8],"which":[9,58],"involves":[10],"people":[11,59,73,120],"teaching":[12],"each":[13,62,123],"other.":[14,124],"Usually,":[15],"peer":[16],"requires":[18],"dedicated":[19,65],"facilitators,":[20],"but":[21],"it":[22],"not":[24],"always":[25],"possible":[26],"to":[27,71,74,84,121],"have":[28],"them":[29],"in":[30,35,44],"some":[31],"situations":[32],"such":[33],"as":[34],"classes":[36],"with":[37],"large":[39],"number":[40],"students":[42],"and":[43,87],"crowdsourcing":[45],"settings.":[46],"This":[47],"paper":[48],"addresses":[49],"the":[50,85,90,103,115],"question":[51],"whether":[52],"there":[53],"way":[56],"through":[57],"can":[60],"teach":[61,122],"other":[63],"without":[64],"facilitators.":[66],"A":[67],"key":[68],"issue":[69],"allow":[72,119],"identify":[75],"their":[76],"own":[77],"incomprehension.":[78,110],"We":[79,111],"applied":[80],"microtask":[82],"approach":[83,104],"problem":[86],"verified":[88],"that":[89,102,114],"developed":[91],"workflow":[92],"was":[93],"effective.":[94],"The":[95],"result":[96],"our":[98],"preliminary":[99],"experiment":[100],"suggests":[101],"for":[107],"identifying":[108],"students'":[109],"also":[112],"show":[113],"identified":[116],"incomprehensible":[117],"parts":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}