{"id":"https://openalex.org/W4288049598","doi":"https://doi.org/10.1145/3524383.3524445","title":"CTST: Development and Validation of an Sequence Ability in Computational Thinking in Early Childhood Education","display_name":"CTST: Development and Validation of an Sequence Ability in Computational Thinking in Early Childhood Education","publication_year":2022,"publication_date":"2022-02-26","ids":{"openalex":"https://openalex.org/W4288049598","doi":"https://doi.org/10.1145/3524383.3524445"},"language":"en","primary_location":{"id":"doi:10.1145/3524383.3524445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524383.3524445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data and Education","raw_type":"proceedings-article"},"type":"article","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/A5062776218","display_name":"Min An","orcid":"https://orcid.org/0009-0003-5376-3765"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min An","raw_affiliation_strings":["Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062776218"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.2106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60853013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9997000098228455,"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":0.9997000098228455,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.984499990940094,"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"}},{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.9520000219345093,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"Confirmatory factor analysis","score":0.6953586339950562},{"id":"https://openalex.org/keywords/exploratory-factor-analysis","display_name":"Exploratory factor analysis","score":0.6867496967315674},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.6198320388793945},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.593655526638031},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5749821662902832},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5545100569725037},{"id":"https://openalex.org/keywords/developmental-psychology","display_name":"Developmental psychology","score":0.41608747839927673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3893023133277893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3721822500228882},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.36628732085227966},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.33985331654548645},{"id":"https://openalex.org/keywords/psychometrics","display_name":"Psychometrics","score":0.2770361304283142},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2324133813381195},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.1689685881137848}],"concepts":[{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.6953586339950562},{"id":"https://openalex.org/C165957694","wikidata":"https://www.wikidata.org/wiki/Q5421350","display_name":"Exploratory factor analysis","level":3,"score":0.6867496967315674},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6198320388793945},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.593655526638031},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5749821662902832},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5545100569725037},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.41608747839927673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3893023133277893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3721822500228882},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.36628732085227966},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.33985331654548645},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.2770361304283142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2324133813381195},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.1689685881137848},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524383.3524445","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524383.3524445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Big Data and Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1604092587","https://openalex.org/W1855539512","https://openalex.org/W1970953601","https://openalex.org/W1990084144","https://openalex.org/W2018037215","https://openalex.org/W2110670045","https://openalex.org/W2121082593","https://openalex.org/W2139075905","https://openalex.org/W2142038985","https://openalex.org/W2165568289","https://openalex.org/W2169458998","https://openalex.org/W2339183141","https://openalex.org/W2593947425"],"related_works":["https://openalex.org/W2898496138","https://openalex.org/W2384586913","https://openalex.org/W4254924177","https://openalex.org/W2353508554","https://openalex.org/W2184398632","https://openalex.org/W3135838638","https://openalex.org/W3213051682","https://openalex.org/W564637257","https://openalex.org/W2385721021","https://openalex.org/W4303645065"],"abstract_inverted_index":{"The":[0,31,56,127],"purpose":[1],"of":[2,10,33,61,70,90,103,120,134,140,153,181],"this":[3],"study":[4,115],"is":[5,36,81,136],"to":[6,16,23],"develop":[7],"a":[8],"set":[9],"sequence":[11,85],"test":[12,35,160],"called":[13],"CTST,":[14],"and":[15,58,75,98,122,142,165,179],"determine":[17],"whether":[18],"it":[19,80],"can":[20,166],"be":[21,146],"used":[22],"assess":[24],"Sequencing":[25,132],"Ability":[26,133],"in":[27,51],"computational":[28],"thinking":[29],"(CT).":[30],"content":[32],"the":[34,54,68,84,104,110,118,131,147,151,158,177],"adapted":[37],"from":[38,47],"Baron-Cohen's":[39],"picture":[40],"story.":[41],"We":[42,174],"selected":[43],"5-7-year-old":[44,125],"students":[45],"(N=1234)":[46],"seven":[48],"public":[49],"schools":[50],"China":[52],"for":[53,150],"test.":[55],"difficulty":[57],"distinguishing":[59],"degree":[60],"each":[62],"question":[63],"were":[64,112],"tested.":[65],"Combined":[66],"with":[67,169],"result":[69],"exploratory":[71],"factor":[72,77],"analysis":[73,78],"(EFA)":[74],"confirmatory":[76],"(CFA),":[79],"concluded":[82],"that":[83,106,130,139],"tests":[86],"questions":[87],"was":[88],"composed":[89],"thirteen":[91],"items,":[92],"including":[93],"three":[94],"factors":[95],"(amount,":[96],"event":[97],"machine).":[99],"Among":[100],"them,":[101],"four":[102],"items":[105],"did":[107],"not":[108],"meet":[109],"standard":[111],"deleted.":[113],"Our":[114],"also":[116,175],"explored":[117],"differences":[119],"gender":[121],"age":[123],"between":[124],"students.":[126],"results":[128],"show":[129],"girls":[135],"stronger":[137],"than":[138],"boys,":[141],"7-year-old":[143],"children":[144,168],"may":[145],"key":[148],"period":[149],"development":[152],"sequential":[154,159],"ability.":[155],"Generally":[156],"speaking,":[157],"has":[161],"good":[162],"psychometric":[163],"characteristics":[164],"distinguish":[167],"different":[170],"CT":[171],"sequencing":[172],"Ability.":[173],"discussed":[176],"limitations":[178],"direction":[180],"future":[182],"work.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}