{"id":"https://openalex.org/W4280641853","doi":"https://doi.org/10.1109/educon52537.2022.9766579","title":"Clustering Young Children\u2019s Coding Project Scores with Machine Learning","display_name":"Clustering Young Children\u2019s Coding Project Scores with Machine Learning","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4280641853","doi":"https://doi.org/10.1109/educon52537.2022.9766579"},"language":"en","primary_location":{"id":"doi:10.1109/educon52537.2022.9766579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/educon52537.2022.9766579","pdf_url":null,"source":{"id":"https://openalex.org/S4363607828","display_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","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/A5030967618","display_name":"Apittha Unahalekhaka","orcid":"https://orcid.org/0000-0001-7475-4997"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Apittha Unahalekhaka","raw_affiliation_strings":["Tufts University,Child Study and Human Development,Medford,USA","Child Study and Human Development, Tufts University, Medford, USA"],"affiliations":[{"raw_affiliation_string":"Tufts University,Child Study and Human Development,Medford,USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Child Study and Human Development, Tufts University, Medford, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065897333","display_name":"Marina Umaschi Bers","orcid":"https://orcid.org/0000-0003-0206-1846"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marina Umaschi Bers","raw_affiliation_strings":["Tufts University,Child Study and Human Development,Medford,USA","Child Study and Human Development, Tufts University, Medford, USA"],"affiliations":[{"raw_affiliation_string":"Tufts University,Child Study and Human Development,Medford,USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Child Study and Human Development, Tufts University, Medford, USA","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030967618"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":0.4753,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52825746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.9988999962806702,"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":0.9988999962806702,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9587000012397766,"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"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9369000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.786360502243042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6977171301841736},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4913767874240875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4315411448478699},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36034440994262695},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17844319343566895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10762569308280945}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.786360502243042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977171301841736},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4913767874240875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4315411448478699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36034440994262695},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17844319343566895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10762569308280945}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/educon52537.2022.9766579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/educon52537.2022.9766579","pdf_url":null,"source":{"id":"https://openalex.org/S4363607828","display_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Global Engineering Education Conference (EDUCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1815090327","https://openalex.org/W1973030886","https://openalex.org/W2014261905","https://openalex.org/W2101753349","https://openalex.org/W2136834230","https://openalex.org/W2144049026","https://openalex.org/W2169813553","https://openalex.org/W2487770199","https://openalex.org/W2592216038","https://openalex.org/W2737855565","https://openalex.org/W2741556029","https://openalex.org/W2789849566","https://openalex.org/W2790707267","https://openalex.org/W2888438995","https://openalex.org/W2908871371","https://openalex.org/W2916035368","https://openalex.org/W2940999120","https://openalex.org/W2949159326","https://openalex.org/W2949544104","https://openalex.org/W2990788823","https://openalex.org/W3033099576","https://openalex.org/W3153516629","https://openalex.org/W3157666221","https://openalex.org/W3166123136","https://openalex.org/W3166460840","https://openalex.org/W3188156665"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Engaging":[0],"children":[1,13,78,146,180],"in":[2,181],"making":[3],"creative":[4],"coding":[5,35,40,49,68,95,131,151,185],"projects":[6,41,50],"is":[7,71],"a":[8,72],"popular":[9],"approach":[10],"for":[11,77,178],"young":[12,145],"to":[14,20,81,154,169],"develop":[15],"computational":[16],"skills.":[17],"Children":[18],"learn":[19],"transform":[21],"their":[22,38,183],"ideas":[23],"and":[24,37,54,59,85,173],"knowledge":[25],"into":[26,105],"personally":[27],"meaningful":[28],"projects.":[29,127,162,186],"However,":[30],"the":[31,61,66,116,125,129],"connection":[32],"between":[33],"children&#x2019;s":[34,67],"competencies":[36],"created":[39,51],"remains":[42],"unclear.":[43],"This":[44,141],"study":[45,93,142,166],"explored":[46],"how":[47],"ScratchJr":[48,70,126,161],"by":[52,65,98,108],"first":[53],"second":[55],"graders":[56],"(n=75)":[57],"differed":[58,139],"whether":[60],"project":[62,96],"focuses":[63],"varied":[64],"competencies.":[69],"free":[73],"downloadable":[74],"tablet":[75],"game":[76],"ages":[79],"5-7":[80],"create":[82],"animated":[83],"stories":[84],"games.":[86],"Through":[87],"unsupervised":[88],"machine":[89],"learning":[90],"algorithms,":[91],"this":[92,165],"grouped":[94],"concepts":[97],"Principal":[99],"Component":[100],"Analysis":[101],"then":[102],"classified":[103],"students":[104,114],"four":[106,117],"groups":[107,118],"K-means.":[109],"The":[110],"results":[111],"showed":[112],"that":[113,144],"across":[115],"focused":[119],"on":[120,156,175],"creating":[121,157,182],"different":[122,158],"aspects":[123,159],"of":[124,134,150,160],"Moreover,":[128],"median":[130],"competency":[132,152],"score":[133],"each":[135],"student":[136],"group":[137],"also":[138],"significantly.":[140],"implies":[143],"with":[147],"varying":[148],"levels":[149],"tend":[153],"focus":[155],"Findings":[163],"from":[164],"can":[167],"help":[168],"inform":[170],"curriculum":[171],"designers":[172],"teachers":[174],"essential":[176],"approaches":[177],"guiding":[179],"own":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
