{"id":"https://openalex.org/W7128767362","doi":"https://doi.org/10.1145/3770761.3777017","title":"Code Reading Instruction: Essential in the Age of Generative AI","display_name":"Code Reading Instruction: Essential in the Age of Generative AI","publication_year":2026,"publication_date":"2026-02-13","ids":{"openalex":"https://openalex.org/W7128767362","doi":"https://doi.org/10.1145/3770761.3777017"},"language":null,"primary_location":{"id":"doi:10.1145/3770761.3777017","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777017","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/10.1145/3770761.3777017","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064592670","display_name":"Adriana Picoral","orcid":"https://orcid.org/0000-0001-6250-1458"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adriana Picoral","raw_affiliation_strings":["Computer Science & Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064592670"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69751381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1727","last_page":"1727"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.8036999702453613,"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":0.8036999702453613,"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/T10260","display_name":"Software Engineering Research","score":0.04740000143647194,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.007199999876320362,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.7357000112533569},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5982999801635742},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5773000121116638},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4203000068664551},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.35659998655319214},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3490999937057495},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.3140999972820282}],"concepts":[{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.7357000112533569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7174999713897705},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5982999801635742},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3950999975204468},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35929998755455017},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.35659998655319214},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C2776808766","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Learning to read","level":3,"score":0.3138999938964844},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C2779236577","wikidata":"https://www.wikidata.org/wiki/Q5421970","display_name":"Extensive reading","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770761.3777017","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777017","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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:10.1145/3770761.3777017","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770761.3777017","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/4","display_name":"Quality Education","score":0.9015294313430786}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"It":[0],"has":[1,59],"been":[2,61],"established":[3],"that":[4,28,92,163],"while":[5],"natural":[6],"language":[7],"reading":[8,29,37,55,113,139,161],"and":[9,16,38,57,100,183,186,218,226],"writing":[10,34,40],"draw":[11,42],"on":[12,43,134,141,197,210],"similar":[13,44],"knowledge":[14],"representations":[15],"cognitive":[17,45],"processes,":[18,46,88],"they":[19,49],"are":[20,50],"not":[21],"identical":[22],"[4].":[23],"Moreover,":[24],"it":[25,76,89,124],"is":[26,77,90,115],"understood":[27],"interventions":[30,140],"lead":[31],"to":[32,63,67,95,98,190,200],"better":[33,70],"performance.":[35],"Code":[36],"code":[39,54,73,103,112,138,160],"also":[41,60,234],"even":[47,116],"though":[48],"distinct":[51],"skills.":[52],"Explicit":[53],"assessment":[56],"instruction":[58],"shown":[62],"help":[64],"CS":[65,170],"students":[66,93],"develop":[68],"a":[69],"understanding":[71],"of":[72,137,144,159,194,208,214,216,220,222,228],"[1].":[74],"While":[75],"yet":[78],"unclear":[79],"what":[80],"role":[81],"generative":[82,145,203],"AI":[83,146,204],"plays":[84],"in":[85,119,167],"students'":[86,198],"learning":[87],"undeniable":[91],"need":[94],"be":[96,165,235],"able":[97],"read":[99],"understand":[101],"the":[102,135,142,192],"output":[104,205],"by":[105],"these":[106,195],"tools":[107],"[2].":[108],"Thus,":[109],"explicitly":[110],"teaching":[111],"skills":[114],"more":[117],"pressing":[118],"our":[120],"current":[121],"reality":[122],"than":[123],"was":[125],"ever":[126],"before.":[127],"This":[128],"work":[129],"aims":[130],"at":[131,239],"shedding":[132],"light":[133],"effect":[136],"use":[143],"for":[147],"learning.":[148],"In":[149],"this":[150],"lightning":[151],"talk,":[152],"I":[153],"will":[154,233],"briefly":[155],"introduce":[156],"six":[157],"types":[158],"exercises":[162,196],"can":[164],"implemented":[166],"large":[168],"intro":[169],"courses:":[171],"tracing,":[172,174],"reverse":[173],"comparing":[175],"(equivalency),":[176],"input\u2013output":[177],"pairing,":[178],"impractical":[179],"input":[180],"tracing":[181],"[3],":[182],"bug":[184],"finding":[185],"fixing.":[187],"Possible":[188],"ways":[189],"assess":[191],"effectiveness":[193],"ability":[199],"critically":[201],"evaluate":[202],"include:":[206],"comparison":[207],"performance":[209],"final":[211],"exams,":[212],"collection":[213,219,231],"perception":[215,221],"LLMs,":[217],"self":[223],"[5].":[224],"Advantages":[225],"disadvantages":[227],"different":[229],"data":[230],"designs":[232],"concisely":[236],"presented.":[237],"Materials":[238],"adrianapicoral.com/SIGCSE2026":[240]},"counts_by_year":[],"updated_date":"2026-02-15T05:58:04.055770","created_date":"2026-02-14T00:00:00"}