{"id":"https://openalex.org/W3009388629","doi":"https://doi.org/10.1145/3328778.3366845","title":"Understanding Students' Computational Thinking through Cognitive Interviews","display_name":"Understanding Students' Computational Thinking through Cognitive Interviews","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3009388629","doi":"https://doi.org/10.1145/3328778.3366845","mag":"3009388629"},"language":"en","primary_location":{"id":"doi:10.1145/3328778.3366845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3328778.3366845","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366845","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st ACM Technical Symposium on Computer Science Education","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366845","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064695311","display_name":"Feiya Luo","orcid":"https://orcid.org/0000-0002-3037-085X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feiya Luo","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011088025","display_name":"Maya Israel","orcid":"https://orcid.org/0000-0003-0302-6559"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maya Israel","raw_affiliation_strings":["University of Florida, gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081280892","display_name":"Ruohan Liu","orcid":"https://orcid.org/0000-0001-7668-6756"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruohan Liu","raw_affiliation_strings":["University of Florida, GAINESVILLE, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, GAINESVILLE, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073951794","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0001-9015-0333"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002839762","display_name":"Brian D. Gane","orcid":"https://orcid.org/0000-0002-4454-569X"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Gane","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070325978","display_name":"John Hampton","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Hampton","raw_affiliation_strings":["University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3783,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8777665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"919","last_page":"925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9998999834060669,"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":0.9998999834060669,"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/T10731","display_name":"Educational Games and Gamification","score":0.9502999782562256,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9498000144958496,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/repetition","display_name":"Repetition (rhetorical device)","score":0.7583729028701782},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6539640426635742},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6118767261505127},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5743089914321899},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.5704126358032227},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.49962902069091797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43981900811195374},{"id":"https://openalex.org/keywords/computational-thinking","display_name":"Computational thinking","score":0.42180532217025757},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3498411178588867},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1657598614692688}],"concepts":[{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.7583729028701782},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6539640426635742},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6118767261505127},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5743089914321899},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.5704126358032227},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.49962902069091797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43981900811195374},{"id":"https://openalex.org/C2780368719","wikidata":"https://www.wikidata.org/wiki/Q5157342","display_name":"Computational thinking","level":2,"score":0.42180532217025757},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3498411178588867},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1657598614692688},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3328778.3366845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3328778.3366845","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366845","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st ACM Technical Symposium on Computer Science Education","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3328778.3366845","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3328778.3366845","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3328778.3366845","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 51st ACM Technical Symposium on Computer Science Education","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8899999856948853}],"awards":[{"id":"https://openalex.org/G7144308264","display_name":"Learning Trajectories for Everyday Computing: Integrating Computational Thinking in Elementary Mathematics","funder_award_id":"1932920","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009388629.pdf","grobid_xml":"https://content.openalex.org/works/W3009388629.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W982752821","https://openalex.org/W1582520875","https://openalex.org/W1684809301","https://openalex.org/W1687473687","https://openalex.org/W1971349132","https://openalex.org/W2041656211","https://openalex.org/W2063747225","https://openalex.org/W2336969588","https://openalex.org/W2471105315","https://openalex.org/W2476109123","https://openalex.org/W2725702948","https://openalex.org/W2748863044","https://openalex.org/W2887655076","https://openalex.org/W2973975431","https://openalex.org/W4213193087"],"related_works":["https://openalex.org/W2769482900","https://openalex.org/W3155803285","https://openalex.org/W2769928932","https://openalex.org/W3213086777","https://openalex.org/W2551768522","https://openalex.org/W2742379954","https://openalex.org/W2996195527","https://openalex.org/W3033687264","https://openalex.org/W4379876866","https://openalex.org/W2565189632"],"abstract_inverted_index":{"For":[0,201],"K-8":[1],"computer":[2],"science":[3],"(CS)":[4],"education":[5],"to":[6,8,26,142,218],"continue":[7],"expand,":[9],"it":[10],"is":[11,30,224],"essential":[12],"that":[13,96,105,114,134,173,209,226],"we":[14],"understand":[15,212],"how":[16],"students":[17,33,54,108,210],"develop":[18],"and":[19,62,79,92,98,137,152,160],"demonstrate":[20],"computational":[21],"thinking":[22],"(CT).":[23],"One":[24],"approach":[25],"gaining":[27],"this":[28,206],"insight":[29],"by":[31,176],"having":[32],"articulate":[34],"their":[35],"understanding":[36,86,97,111,133,170],"of":[37,46,87,112,119,126,132,145,154,165,171,180,193],"CT":[38,61,67,74,90],"through":[39],"cognitive":[40,48],"interviews.":[41],"This":[42,81],"study":[43,50,82,207],"presents":[44],"findings":[45],"a":[47,124,216],"interview":[49],"with":[51],"13":[52],"fourth-grade":[53],"(who":[55],"had":[56],"previously":[57],"engaged":[58],"in":[59,196],"integrated":[60],"mathematics":[63],"instruction)":[64],"working":[65],"on":[66],"assessment":[68],"items.":[69],"The":[70,185],"items":[71,139,178],"assessed":[72],"four":[73,89],"concepts:":[75],"sequence,":[76],"repetition,":[77],"conditionals,":[78],"decomposition.":[80],"analyzed":[83],"students\\textquotesingle":[84,127,166],"articulated":[85,109,168],"the":[88,93,116,120,130,135,177,190,197,204],"concepts":[91],"correspondence":[94],"between":[95],"hypothesized":[99],"learning":[100],"trajectories":[101],"(LTs).":[102],"We":[103],"found":[104],"1)":[106],"all":[107],"an":[110,169,219],"sequence":[113],"matched":[115],"intermediate":[117],"level":[118,131],"Sequence":[121],"LT;":[122],"2)":[123],"majority":[125],"responses":[128,147,167,182],"demonstrated":[129],"repetition":[136,151],"decomposition":[138],"were":[140,148,156,183],"designed":[141],"solicit":[143],"(8":[144],"9":[146,181],"correct":[149,157],"for":[150,158],"4":[153],"6":[155],"decomposition);":[159],"3)":[161],"less":[162],"than":[163],"half":[164],"conditionals":[172],"was":[174],"intended":[175],"(4":[179],"correct).":[184],"results":[186],"also":[187],"suggested":[188],"questioning":[189],"directional":[191],"relationships":[192],"two":[194],"statements":[195],"existing":[198],"Conditionals":[199],"LT.":[200],"example,":[202],"unlike":[203],"LT,":[205],"revealed":[208],"could":[211],"\"A":[213,222],"conditional":[214],"connects":[215],"condition":[217,223],"outcome''":[220],"before":[221],"something":[225],"can":[227],"be":[228],"true":[229],"or":[230],"false.''":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
