{"id":"https://openalex.org/W7128770269","doi":"https://doi.org/10.1145/3770761.3777206","title":"Applications of Large Language Models to SQL Learning","display_name":"Applications of Large Language Models to SQL Learning","publication_year":2026,"publication_date":"2026-02-13","ids":{"openalex":"https://openalex.org/W7128770269","doi":"https://doi.org/10.1145/3770761.3777206"},"language":null,"primary_location":{"id":"doi:10.1145/3770761.3777206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777206","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/10.1145/3770761.3777206","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125896447","display_name":"Adwaith Chittavally Dugge Gowda","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adwaith Chittavally Dugge Gowda","raw_affiliation_strings":["Arizona State University, Tempe, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001065115","display_name":"Jaykumar Tandel","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaykumar Tandel","raw_affiliation_strings":["Arizona State University, Tempe, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125987296","display_name":"Sharvari Rajiv Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharvari Rajiv Joshi","raw_affiliation_strings":["Arizona State University, Tempe, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013735333","display_name":"Jia Zou","orcid":"https://orcid.org/0000-0001-9849-0711"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Zou","raw_affiliation_strings":["Arizona State University, Tempe, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5125896447"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78073434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1267","last_page":"1268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.22930000722408295,"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"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.22930000722408295,"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/T12884","display_name":"Educational Assessment and Pedagogy","score":0.06909999996423721,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.05009999871253967,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.6074000000953674},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.6057000160217285},{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.5626000165939331},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5623999834060669},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.48750001192092896},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3634999990463257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227999806404114},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6074000000953674},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.6057000160217285},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.5626000165939331},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43309998512268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41449999809265137},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.36010000109672546},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.34439998865127563},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770761.3777206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777206","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:10.1145/3770761.3777206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777206","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":[{"id":"https://metadata.un.org/sdg/9","score":0.524824857711792,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4391093636"],"related_works":[],"abstract_inverted_index":{"We":[0,63],"present":[1],"a":[2,41,70,88,102],"Large":[3],"Language":[4],"Model":[5],"(LLM)-assisted":[6],"SQL":[7,39,75],"learning":[8,172],"system":[9,144],"that":[10,126],"closes":[11],"the":[12,93,143],"loop":[13],"from":[14],"problem":[15],"discovery":[16],"to":[17],"grading.":[18],"Grounded":[19],"in":[20,101],"real-world":[21,152],"data-wrangling":[22],"scenarios,":[23],"our":[24,77],"agentic":[25],"workflow":[26],"(i)":[27],"synthesizes":[28],"industry-style":[29],"practice":[30,165],"problems":[31],"with":[32,83,97,109,133],"pedagogical":[33],"metadata,":[34],"(ii)":[35],"produces":[36],"executable":[37],"reference":[38,155],"via":[40],"multi-step":[42,79],"operator-planning":[43],"pipeline,":[44],"and":[45,57,157,167],"(iii)":[46],"grades":[47],"student":[48,171],"submissions":[49,118],"against":[50],"rich":[51],"rubrics":[52],"while":[53,91,173],"explaining":[54],"partial":[55],"credit":[56],"surfacing":[58],"actionable":[59],"feedback":[60],"for":[61,138,147],"revision.":[62],"evaluate":[64],"two":[65],"core":[66],"capabilities.":[67],"First,":[68],"on":[69],"large":[71],"corpus":[72],"of":[73,135],"realistic":[74],"problems,":[76,153],"zero-shot,":[78],"reference-answer":[80],"generator,":[81],"implemented":[82],"OpenAI's":[84],"o4-mini,":[85],"substantially":[86],"outperforms":[87],"single-prompt":[89],"baseline":[90],"approaching":[92],"state-of-the-art":[94],"pipelines":[95],"trained":[96],"supervised":[98],"learning.":[99],"Second,":[100],"classroom":[103],"deployment,":[104],"we":[105],"compare":[106],"LLM-assisted":[107],"grading":[108,130,158],"human":[110,136],"graders":[111,137],"across":[112],"four":[113],"exam":[114],"questions,":[115],"encompassing":[116],"326":[117],"evaluated":[119],"by":[120],"six":[121],"graders.":[122],"The":[123],"results":[124],"indicate":[125],"LLMs":[127],"can":[128],"provide":[129],"signals":[131],"competitive":[132],"those":[134],"many":[139],"question":[140],"types.":[141],"Overall,":[142],"is":[145],"designed":[146],"responsible":[148],"educational":[149],"use":[150],"through":[151],"generated":[154],"solutions,":[156],"assistance.":[159],"Together,":[160],"these":[161],"features":[162],"enable":[163],"scalable":[164],"generation":[166],"grading,":[168],"which":[169],"improves":[170],"augmenting":[174],"instructor":[175],"capacity.":[176]},"counts_by_year":[],"updated_date":"2026-02-15T05:58:04.055770","created_date":"2026-02-14T00:00:00"}
