{"id":"https://openalex.org/W7128770709","doi":"https://doi.org/10.1145/3770761.3777192","title":"Show or Tell? Piloting an AI Feedback Tool for Data Story Reading in Introductory Data Science","display_name":"Show or Tell? Piloting an AI Feedback Tool for Data Story Reading in Introductory Data Science","publication_year":2026,"publication_date":"2026-02-13","ids":{"openalex":"https://openalex.org/W7128770709","doi":"https://doi.org/10.1145/3770761.3777192"},"language":null,"primary_location":{"id":"doi:10.1145/3770761.3777192","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777192","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3770761.3777192","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053727798","display_name":"Lujie Chen","orcid":"https://orcid.org/0000-0002-7185-8405"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lujie Karen Chen","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124930799","display_name":"Supakit Boonsongprasert","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Supakit Boonsongprasert","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125892613","display_name":"Sachin Pathak","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin Pathak","raw_affiliation_strings":["University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053727798"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76533483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1257","last_page":"1258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.3889999985694885,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.3889999985694885,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.37689998745918274,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.02850000001490116,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.73089998960495},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5726000070571899},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4474000036716461},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.41909998655319214},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3855000138282776},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.37299999594688416},{"id":"https://openalex.org/keywords/qualitative-property","display_name":"Qualitative property","score":0.36719998717308044}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.73089998960495},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5612000226974487},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.43549999594688416},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.41909998655319214},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38580000400543213},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.37299999594688416},{"id":"https://openalex.org/C87156501","wikidata":"https://www.wikidata.org/wiki/Q7268708","display_name":"Qualitative property","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C44877443","wikidata":"https://www.wikidata.org/wiki/Q2485457","display_name":"Science education","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3154999911785126},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C77379859","wikidata":"https://www.wikidata.org/wiki/Q2064596","display_name":"Scientific literacy","level":3,"score":0.30149999260902405},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C133112747","wikidata":"https://www.wikidata.org/wiki/Q7251931","display_name":"Protocol analysis","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770761.3777192","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777192","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3770761.3777192","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777192","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.9026765823364258}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4231585013","https://openalex.org/W4404739870"],"related_works":[],"abstract_inverted_index":{"The":[0],"ability":[1],"to":[2,61,113,118],"make":[3],"sense":[4],"of":[5,12,73,190],"data":[6,13,20,48,133],"visualizations":[7],"is":[8,75],"a":[9,44,55,62],"core":[10],"component":[11],"literacy":[14],"and":[15,22,36,57,115,120,157,172,194],"an":[16,93,131],"essential":[17],"skill":[18,31],"in":[19,51,59,130,136,179],"science":[21,134],"analytics":[23],"education.":[24],"Yet,":[25],"it":[26],"remains":[27],"unclear":[28],"how":[29],"this":[30,40,89],"can":[32],"be":[33],"deliberately":[34],"taught":[35],"practiced.":[37],"To":[38],"address":[39],"challenge,":[41],"we":[42,91],"designed":[43],"classroom":[45],"activity":[46],"called":[47],"story":[49],"reading,":[50],"which":[52],"students":[53,140,166],"generate":[54],"title":[56],"narrative":[58],"response":[60],"given":[63],"visualization.":[64],"Narratives":[65],"are":[66],"distinguished":[67],"as":[68,106],"either":[69],"''Show''":[70],"(surface-level":[71],"descriptions":[72],"what":[74],"displayed)":[76],"or":[77,85,108],"''Tell''":[78],"(deeper":[79],"interpretations":[80],"that":[81,97,162],"uncover":[82],"trends,":[83],"patterns,":[84],"anomalies).":[86],"Building":[87],"on":[88,122],"distinction,":[90],"developed":[92],"AI-supported":[94,187],"feedback":[95,164],"tool":[96,129],"automatically":[98],"classifies":[99],"student":[100,155],"narratives":[101],"at":[102],"the":[103,111,123,128,168,191],"sentence":[104],"level":[105],"Show":[107],"Tell,":[109],"presents":[110],"results":[112],"students,":[114],"invites":[116],"them":[117],"critique":[119],"reflect":[121],"AI's":[124],"feedback.":[125,182],"We":[126,183],"piloted":[127],"introductory":[132],"course":[135],"Spring":[137],"2025,":[138],"enrolling":[139],"from":[141,149],"diverse":[142],"backgrounds.":[143],"Data":[144],"for":[145,186,196],"analysis":[146],"were":[147],"drawn":[148],"system":[150],"logs":[151],"capturing":[152],"sentence-level":[153],"classifications,":[154],"critiques,":[156],"reflective":[158],"comments.":[159],"Findings":[160],"suggest":[161],"AI":[163],"helped":[165],"recognize":[167],"difference":[169],"between":[170],"descriptive":[171],"interpretive":[173],"sense-making,":[174],"while":[175],"also":[176],"surfacing":[177],"tensions":[178],"providing":[180],"nuanced":[181],"discuss":[184],"implications":[185],"learning,":[188],"limitations":[189],"current":[192],"tool,":[193],"directions":[195],"future":[197],"refinement.":[198]},"counts_by_year":[],"updated_date":"2026-02-15T05:58:04.055770","created_date":"2026-02-14T00:00:00"}