{"id":"https://openalex.org/W7155799258","doi":"https://doi.org/10.48550/arxiv.2604.22322","title":"Inclusive Learning Analytics with Embedded Data Comics: A Conceptual Framework for Public Understanding of AI Ethics","display_name":"Inclusive Learning Analytics with Embedded Data Comics: A Conceptual Framework for Public Understanding of AI Ethics","publication_year":2026,"publication_date":"2026-04-24","ids":{"openalex":"https://openalex.org/W7155799258","doi":"https://doi.org/10.48550/arxiv.2604.22322"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.22322","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.22322","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134724606","display_name":"Mengyi Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Mengyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134665636","display_name":"Chenyu Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Chenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134692508","display_name":"Dongsheng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Dongsheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134680800","display_name":"Liqiu Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Liqiu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.7121000289916992,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.7121000289916992,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.026200000196695328,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.01679999940097332,"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/empathy","display_name":"Empathy","score":0.47040000557899475},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4641999900341034},{"id":"https://openalex.org/keywords/information-ethics","display_name":"Information ethics","score":0.41909998655319214},{"id":"https://openalex.org/keywords/conceptual-framework","display_name":"Conceptual framework","score":0.3910999894142151},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3758000135421753},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3700000047683716},{"id":"https://openalex.org/keywords/ethical-issues","display_name":"Ethical issues","score":0.3280999958515167}],"concepts":[{"id":"https://openalex.org/C2779885105","wikidata":"https://www.wikidata.org/wiki/Q182263","display_name":"Empathy","level":2,"score":0.47040000557899475},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44780001044273376},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.4341000020503998},{"id":"https://openalex.org/C93474598","wikidata":"https://www.wikidata.org/wiki/Q1662553","display_name":"Information ethics","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40799999237060547},{"id":"https://openalex.org/C14224292","wikidata":"https://www.wikidata.org/wiki/Q13600188","display_name":"Conceptual framework","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.35850000381469727},{"id":"https://openalex.org/C2986663376","wikidata":"https://www.wikidata.org/wiki/Q9465","display_name":"Ethical issues","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32659998536109924},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C153997805","wikidata":"https://www.wikidata.org/wiki/Q42240","display_name":"Research ethics","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C119232533","wikidata":"https://www.wikidata.org/wiki/Q873451","display_name":"Business ethics","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C59377095","wikidata":"https://www.wikidata.org/wiki/Q538733","display_name":"Applied ethics","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C2777825026","wikidata":"https://www.wikidata.org/wiki/Q3410431","display_name":"Public trust","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25589999556541443},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.22322","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.22322","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.22322","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Public":[0],"awareness":[1],"of":[2,16,27,31,39,47,94,136],"AI":[3,17,32,40,72,114,126,143],"ethics":[4,73,115,127],"plays":[5],"a":[6,34,54],"crucial":[7],"role":[8],"in":[9],"fostering":[10,80],"the":[11,28,37,44,48,121,134],"responsible":[12],"and":[13,43,70,77,83,109,132,145],"sustainable":[14],"development":[15],"technology.":[18],"However,":[19],"finding":[20],"effective":[21],"ways":[22],"to":[23,119,123,139,141],"promote":[24],"public":[25,81,122],"understanding":[26],"ethical":[29,41,146],"risks":[30],"remains":[33],"challenge.":[35],"Given":[36],"complexity":[38],"issues":[42],"cognitive":[45,104],"limitations":[46],"public,":[49],"this":[50],"review":[51],"paper":[52],"proposes":[53],"conceptual":[55],"framework":[56],"for":[57,113],"inclusive":[58,87],"learning":[59,88,138],"analytics":[60,89],"with":[61,102],"embedded":[62],"data":[63],"comics.":[64],"Data":[65],"comics":[66],"help":[67],"transform":[68],"complex":[69],"abstract":[71],"cases":[74],"into":[75],"compelling":[76],"relatable":[78],"stories,":[79],"empathy":[82],"introspection.":[84],"More":[85],"importantly,":[86],"targets":[90],"not":[91],"only":[92],"people":[93],"different":[95,100],"demographic":[96],"attributes,":[97],"but":[98],"also":[99],"mindsets":[101],"inherent":[103],"biases.":[105],"By":[106],"providing":[107],"equal":[108],"easily":[110],"accessible":[111],"channels":[112],"issues,":[116],"we":[117],"aim":[118],"encourage":[120],"reflect":[124],"on":[125],"incidents":[128],"from":[129],"multiple":[130],"perspectives":[131],"develop":[133],"habit":[135],"continuous":[137],"adapt":[140],"evolving":[142],"technologies":[144],"risks.":[147]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-28T00:00:00"}
