{"id":"https://openalex.org/W6884622230","doi":"https://doi.org/10.1145/3736181.3747133","title":"Everything You Need to Know About CS Education: Open Results from A Survey of More Than 18,000 Participants","display_name":"Everything You Need to Know About CS Education: Open Results from A Survey of More Than 18,000 Participants","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W6884622230","doi":"https://doi.org/10.1145/3736181.3747133"},"language":"en","primary_location":{"id":"doi:10.1145/3736181.3747133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3736181.3747133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Global Computing Education Conference 2025 - Volume 1","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.05286","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Katsiaryna Dzialets","orcid":"https://orcid.org/0009-0003-3269-3622"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Katsiaryna Dzialets","raw_affiliation_strings":["JetBrains Research, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"JetBrains Research, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aleksandra Makeeva","orcid":"https://orcid.org/0000-0001-7976-0763"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandra Makeeva","raw_affiliation_strings":["JetBrains, Yerevan, Armenia"],"affiliations":[{"raw_affiliation_string":"JetBrains, Yerevan, Armenia","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ilya Vlasov","orcid":"https://orcid.org/0000-0002-2744-8345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilya Vlasov","raw_affiliation_strings":["JetBrains Research, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"JetBrains Research, Belgrade, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anna Potriasaeva","orcid":"https://orcid.org/0009-0004-4686-2412"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Potriasaeva","raw_affiliation_strings":["JetBrains Research, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"JetBrains Research, Belgrade, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aleksei Rostovskii","orcid":"https://orcid.org/0009-0008-8608-5186"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksei Rostovskii","raw_affiliation_strings":["JetBrains Research, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"JetBrains Research, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaroslav Golubev","orcid":"https://orcid.org/0000-0001-7009-635X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaroslav Golubev","raw_affiliation_strings":["JetBrains Research, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"JetBrains Research, Belgrade, Serbia","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Anastasiia Birillo","orcid":"https://orcid.org/0000-0003-2269-8211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anastasiia Birillo","raw_affiliation_strings":["JetBrains Research, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"JetBrains Research, Belgrade, Serbia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42693732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.960099995136261,"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":0.960099995136261,"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/T11122","display_name":"Online Learning and Analytics","score":0.012299999594688416,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.004000000189989805,"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/diversity","display_name":"Diversity (politics)","score":0.5820000171661377},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5551000237464905},{"id":"https://openalex.org/keywords/need-to-know","display_name":"Need to know","score":0.5286999940872192},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3790999948978424},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.31380000710487366},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.2867000102996826},{"id":"https://openalex.org/keywords/survey-research","display_name":"Survey research","score":0.28630000352859497}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.532800018787384},{"id":"https://openalex.org/C2778519782","wikidata":"https://www.wikidata.org/wiki/Q1974060","display_name":"Need to know","level":2,"score":0.5286999940872192},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5148000121116638},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3790999948978424},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.37540000677108765},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33570000529289246},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.28679999709129333},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C173481278","wikidata":"https://www.wikidata.org/wiki/Q7257997","display_name":"Survey research","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C207267971","wikidata":"https://www.wikidata.org/wiki/Q120208","display_name":"Emerging technologies","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C73945780","wikidata":"https://www.wikidata.org/wiki/Q814232","display_name":"Survey methodology","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.27070000767707825},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.26100000739097595},{"id":"https://openalex.org/C2984224174","wikidata":"https://www.wikidata.org/wiki/Q25324239","display_name":"Survey instrument","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3736181.3747133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3736181.3747133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Global Computing Education Conference 2025 - Volume 1","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.05286","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.05286","pdf_url":"https://arxiv.org/pdf/2508.05286","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.05286","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.05286","pdf_url":"https://arxiv.org/pdf/2508.05286","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4709666967391968,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2014908010","https://openalex.org/W2027927765","https://openalex.org/W2045455745","https://openalex.org/W2266009670","https://openalex.org/W2324237824","https://openalex.org/W2472979412","https://openalex.org/W2551949838","https://openalex.org/W2789020962","https://openalex.org/W2916542744","https://openalex.org/W2917409708","https://openalex.org/W3000296608","https://openalex.org/W3004144235","https://openalex.org/W4313272766","https://openalex.org/W4321497260","https://openalex.org/W4361271907","https://openalex.org/W4388073344","https://openalex.org/W4390315357","https://openalex.org/W4390490759","https://openalex.org/W4390490886","https://openalex.org/W4391545751","https://openalex.org/W4392563703","https://openalex.org/W4401391312","https://openalex.org/W4403564662"],"related_works":[],"abstract_inverted_index":{"Computer":[0],"science":[1],"education":[2],"is":[3,25],"a":[4,90,103,141],"dynamic":[5],"field":[6],"with":[7,92],"many":[8,37],"aspects":[9,17],"that":[10,34],"influence":[11],"the":[12,59,73,78,122,135,159],"learner's":[13],"path.":[14],"While":[15],"these":[16],"are":[18],"usually":[19],"studied":[20],"in":[21,152,172],"depth":[22],"separately,":[23],"it":[24],"also":[26],"important":[27],"to":[28,43,165],"carry":[29],"out":[30],"broader":[31],"large-scale":[32,52],"studies":[33],"touch":[35],"on":[36],"topics,":[38],"because":[39],"they":[40],"allow":[41],"us":[42],"put":[44],"different":[45],"results":[46,123],"into":[47,158],"each":[48],"other's":[49],"perspective.":[50],"Past":[51],"surveys":[53],"have":[54],"provided":[55],"valuable":[56],"insights,":[57],"however,":[58],"emergence":[60],"of":[61,106,124],"new":[62,66],"trends":[63],"(e.g.,":[64,69],"AI),":[65],"learning":[67,111],"formats":[68],"in-IDE":[70,160],"learning),":[71],"and":[72,101,117,134,138,156,169],"increasing":[74],"learner":[75],"diversity":[76],"highlight":[77],"need":[79],"for":[80],"an":[81,128],"updated":[82],"comprehensive":[83],"study.":[84],"To":[85],"address":[86],"this,":[87],"we":[88],"conducted":[89],"survey":[91,126,136],"18,032":[93],"learners":[94],"from":[95],"173":[96],"countries,":[97],"ensuring":[98],"diverse":[99],"representation":[100],"exploring":[102],"wide":[104],"range":[105],"topics":[107],"-":[108],"formal":[109],"education,":[110],"formats,":[112,155],"AI":[113],"usage,":[114],"challenges,":[115],"motivation,":[116],"more.":[118],"This":[119],"paper":[120],"introduces":[121],"this":[125,149],"as":[127,140],"open":[129],"dataset,":[130],"describes":[131],"our":[132],"methodology":[133],"questions,":[137],"highlights,":[139],"motivating":[142],"example,":[143],"three":[144],"possible":[145],"research":[146,168],"directions":[147],"within":[148],"data:":[150],"challenges":[151],"learning,":[153],"emerging":[154],"insights":[157],"format.":[161],"The":[162],"dataset":[163],"aims":[164],"support":[166],"further":[167],"foster":[170],"advancements":[171],"computer":[173],"education.":[174]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
