{"id":"https://openalex.org/W7168350915","doi":"https://doi.org/10.48550/arxiv.2607.12221","title":"From Chaos to Clarity: A Framework for Program-Level AI Learning Outcomes","display_name":"From Chaos to Clarity: A Framework for Program-Level AI Learning Outcomes","publication_year":2026,"publication_date":"2026-07-13","ids":{"openalex":"https://openalex.org/W7168350915","doi":"https://doi.org/10.48550/arxiv.2607.12221"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.12221","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12221","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.12221","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140781918","display_name":"Grace Barkhuff","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barkhuff, Grace","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140813223","display_name":"Ian Pruitt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pruitt, Ian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140939168","display_name":"William Gregory Johnson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johnson, William Gregory","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140928065","display_name":"Rodrigo Borela","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borela, Rodrigo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140934650","display_name":"Ben Rydal Shapiro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shapiro, Ben Rydal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140925141","display_name":"Anu G. Bourgeois","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bourgeois, Anu G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.19300000369548798,"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":0.19300000369548798,"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":0.15039999783039093,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.14309999346733093,"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/visibility","display_name":"Visibility","score":0.5557000041007996},{"id":"https://openalex.org/keywords/higher-education","display_name":"Higher education","score":0.5250999927520752},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46939998865127563},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4406999945640564},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.439300000667572},{"id":"https://openalex.org/keywords/chaos","display_name":"CHAOS (operating system)","score":0.41990000009536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309000253677368},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5557000041007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479000210762024},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.439300000667572},{"id":"https://openalex.org/C2779374083","wikidata":"https://www.wikidata.org/wiki/Q5011038","display_name":"CHAOS (operating system)","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.38519999384880066},{"id":"https://openalex.org/C37228920","wikidata":"https://www.wikidata.org/wiki/Q1307600","display_name":"Experiential learning","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32589998841285706},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.2757999897003174},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.12221","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12221","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.12221","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12221","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Industry":[0],"is":[1,11,23],"leaning":[2],"into":[3],"generative":[4],"artificial":[5],"intelligence":[6],"(GenAI),":[7],"and":[8,36,62,108,115,130,143,154,156,175,177,194],"higher":[9,74,199],"education":[10,75,200],"under":[12],"pressure":[13],"to":[14,81,85,111,183],"prepare":[15],"graduates":[16],"for":[17,28,56,65,98,197],"a":[18,77,96,104,119,191,206],"GenAI-augmented":[19],"workforce.":[20],"Yet,":[21],"there":[22],"still":[24],"no":[25],"clear":[26],"structure":[27],"defining":[29,99],"AI":[30,91,137],"readiness":[31],"across":[32,60,133],"disciplines,":[33],"programs,":[34,61],"courses,":[35],"assignments.":[37],"Current":[38],"approaches":[39],"often":[40],"rely":[41],"on":[42],"broad":[43],"institutional":[44,83,134],"policies":[45],"or":[46],"individual":[47],"course-level":[48,140],"decisions,":[49],"which":[50],"can":[51,160],"also":[52],"create":[53],"mixed":[54],"messages":[55],"students,":[57],"fragmented":[58],"expectations":[59],"limited":[63],"visibility":[64],"university":[66],"leaders.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"argue":[72],"that":[73],"needs":[76],"more":[78],"coherent":[79],"way":[80],"connect":[82],"priorities":[84],"curriculum-level":[86],"action.":[87],"We":[88,146,187],"propose":[89],"Program-Level":[90],"Learning":[92],"Outcomes":[93],"(PLAI-LOs)":[94],"as":[95,190],"framework":[97,124,149],"what":[100],"students":[101,179],"graduating":[102],"from":[103,152,201],"program":[105],"should":[106,172,180],"know":[107],"be":[109,161,173,181],"able":[110],"do":[112],"with,":[113],"without,":[114],"about":[116],"GenAI":[117,165,171,203],"in":[118],"given":[120],"discipline.":[121],"The":[122],"PLAI-LOs":[123,159,189],"complements":[125],"existing":[126],"program-level":[127,136],"learning":[128,138,141],"outcomes":[129],"supports":[131],"alignment":[132],"priorities,":[135],"outcomes,":[139,142],"assignment-level":[144],"objectives.":[145],"illustrate":[147],"the":[148],"with":[150,208],"examples":[151],"computing":[153],"music":[155],"show":[157],"how":[158],"implemented":[162],"through":[163],"artifact-level":[164],"policies,":[166],"helping":[167],"programs":[168],"decide":[169],"where":[170],"taught":[174],"used,":[176],"when":[178],"expected":[182],"work":[184],"without":[185],"GenAI.":[186],"offer":[188],"concrete,":[192],"measurable,":[193],"adaptable":[195],"path":[196],"moving":[198],"scattered":[202],"rules":[204],"toward":[205],"strategy":[207],"clear,":[209],"learning-centered":[210],"alignment.":[211]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-16T00:00:00"}