{"id":"https://openalex.org/W4414971610","doi":"https://doi.org/10.1145/3769994.3770036","title":"Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education","display_name":"Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education","publication_year":2025,"publication_date":"2025-11-06","ids":{"openalex":"https://openalex.org/W4414971610","doi":"https://doi.org/10.1145/3769994.3770036"},"language":"en","primary_location":{"id":"doi:10.1145/3769994.3770036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3769994.3770036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th Koli Calling International Conference on Computing Education Research","raw_type":"proceedings-article"},"type":"review","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.04443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Seth Bernstein","orcid":"https://orcid.org/0000-0002-7552-5448"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seth Bernstein","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7552-5448","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109250702","display_name":"Ataur Rahman","orcid":"https://orcid.org/0009-0003-8400-8359"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashfin Rahman","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0009-0003-8400-8359","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120274452","display_name":"Nadia Sharifi","orcid":"https://orcid.org/0009-0009-9055-0332"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nadia Sharifi","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0009-0009-9055-0332","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119911934","display_name":"Ariunjargal Terbish","orcid":"https://orcid.org/0009-0000-1829-6231"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ariunjargal Terbish","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0009-0000-1829-6231","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042822346","display_name":"Stephen MacNeil","orcid":"https://orcid.org/0000-0003-2781-6619"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen MacNeil","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2781-6619","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":10.1893,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98103049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9460999965667725,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9327999949455261,"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/scopus","display_name":"Scopus","score":0.5972999930381775},{"id":"https://openalex.org/keywords/unintended-consequences","display_name":"Unintended consequences","score":0.5968999862670898},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.5708000063896179},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5455999970436096},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.5354999899864197},{"id":"https://openalex.org/keywords/cognitive-computing","display_name":"Cognitive computing","score":0.5134999752044678},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45399999618530273},{"id":"https://openalex.org/keywords/inclusion","display_name":"Inclusion (mineral)","score":0.4465999901294708}],"concepts":[{"id":"https://openalex.org/C83867959","wikidata":"https://www.wikidata.org/wiki/Q371467","display_name":"Scopus","level":3,"score":0.5972999930381775},{"id":"https://openalex.org/C2776889888","wikidata":"https://www.wikidata.org/wiki/Q1135789","display_name":"Unintended consequences","level":2,"score":0.5968999862670898},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.5708000063896179},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.5354999899864197},{"id":"https://openalex.org/C92298750","wikidata":"https://www.wikidata.org/wiki/Q17008161","display_name":"Cognitive computing","level":3,"score":0.5134999752044678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47269999980926514},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C109359841","wikidata":"https://www.wikidata.org/wiki/Q728944","display_name":"Inclusion (mineral)","level":2,"score":0.4465999901294708},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3732999861240387},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34790000319480896},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.3296999931335449},{"id":"https://openalex.org/C84857602","wikidata":"https://www.wikidata.org/wiki/Q5012668","display_name":"CLARION","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3215999901294708},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C36727532","wikidata":"https://www.wikidata.org/wiki/Q861399","display_name":"Educational research","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C2776088982","wikidata":"https://www.wikidata.org/wiki/Q841402","display_name":"Silver bullet","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3769994.3770036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3769994.3770036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th Koli Calling International Conference on Computing Education Research","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.04443","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.04443","pdf_url":"https://arxiv.org/pdf/2510.04443","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.04443","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.04443","pdf_url":"https://arxiv.org/pdf/2510.04443","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320312387","display_name":"Temple University","ror":"https://ror.org/00kx1jb78"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414971610.pdf","grobid_xml":"https://content.openalex.org/works/W4414971610.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generative":[0],"artificial":[1],"intelligence":[2],"(GenAI)":[3],"has":[4],"already":[5],"had":[6],"a":[7,43,176],"big":[8],"impact":[9],"on":[10,50,83],"computing":[11,60,170,186],"education":[12],"with":[13,175,183],"prior":[14],"research":[15,48,104],"identifying":[16],"many":[17],"benefits.":[18],"However,":[19],"recent":[20],"studies":[21],"have":[22],"also":[23],"identified":[24],"potential":[25],"risks":[26],"and":[27,38,54,69,86,110,132,141,148,154,158,173],"harms.":[28],"To":[29],"continue":[30],"maximizing":[31],"AI":[32],"benefits":[33],"while":[34],"addressing":[35],"the":[36,51,180],"harms":[37,143,157,181],"unintended":[39,55],"consequences,":[40],"we":[41,165],"conducted":[42],"systematic":[44,94],"literature":[45],"review":[46],"of":[47,57,64,179],"focusing":[49],"risks,":[52],"harms,":[53],"consequences":[56],"GenAI":[58,108,184],"in":[59,73,139,185],"education.":[61,187],"Our":[62,135],"search":[63],"ACM":[65],"DL,":[66],"IEEE":[67],"Xplore,":[68],"Scopus":[70],"(2022-2025)":[71],"resulted":[72],"1,677":[74],"papers,":[75],"which":[76],"were":[77],"then":[78,118],"filtered":[79],"to":[80,167],"224":[81],"based":[82],"our":[84],"inclusion":[85],"exclusion":[87],"criteria.":[88],"Guided":[89],"by":[90],"best":[91],"practices":[92],"for":[93,122,150],"reviews,":[95],"four":[96],"reviewers":[97],"independently":[98],"extracted":[99],"publication":[100],"year,":[101],"learner":[102],"population,":[103],"method,":[105],"contribution":[106],"type,":[107],"technology,":[109],"educational":[111],"task":[112],"information":[113],"from":[114],"each":[115,120],"paper.":[116],"We":[117],"coded":[119],"paper":[121],"concrete":[123],"harm":[124],"categories":[125],"such":[126],"as":[127],"academic":[128],"integrity,":[129],"cognitive":[130],"effects,":[131],"trust":[133],"issues.":[134],"analysis":[136],"shows":[137],"patterns":[138],"how":[140],"where":[142],"appear,":[144],"highlights":[145],"methodological":[146],"gaps":[147],"opportunities":[149],"more":[151],"rigorous":[152],"evidence,":[153],"identifies":[155],"under-explored":[156],"student":[159],"populations.":[160],"By":[161],"synthesizing":[162],"these":[163],"insights,":[164],"intend":[166],"equip":[168],"educators,":[169],"students,":[171],"researchers,":[172],"developers":[174],"clear":[177],"picture":[178],"associated":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-07T23:20:04.922697","created_date":"2025-10-10T00:00:00"}