Faculty as Learning Agent: AI-Enhanced Instructional Design in Higher Education
{"The":[0,60,127,175],"rapid":[1],"integration":[2],"of":[3],"Artificial":[4],"Intelligence":[5],"(AI)":[6],"into":[7,55],"higher":[8,173],"education":[9,50],"has":[10],"created":[11],"an":[12],"urgent":[13],"need":[14],"for":[15,118,180],"faculty":[16,136,152,181],"development":[17,137],"programs":[18],"that":[19,105],"move":[20],"beyond":[21],"basic":[22],"tool":[23,144],"literacy":[24],"toward":[25],"pedagogical":[26,82,148],"transformation.":[27],"This":[28],"conceptual":[29],"paper":[30,176],"introduces":[31],"the":[32],"Faculty":[33],"as":[34,153],"Learning":[35],"Agent":[36],"(FLA)":[37],"Framework,":[38],"a":[39,131,165],"tripartite":[40],"model":[41],"designed":[42],"to":[43,80,108,169],"empower":[44],"university":[45],"faculty—particularly":[46],"those":[47],"in":[48,134,172],"teacher":[49],"programs—to":[51],"systematically":[52],"integrate":[53],"AI":[54,117,143],"their":[56],"instructional":[57,183],"design":[58],"practice.":[59],"framework":[61,163],"comprises":[62],"three":[63],"interconnected":[64],"pillars:":[65],"(1)":[66],"Structural":[67],"Analysis,":[68],"which":[69,90,115,139],"involves":[70],"extracting":[71],"competency":[72],"maps":[73],"and":[74,97,111,122,185],"knowledge":[75],"graphs":[76],"from":[77],"course":[78],"syllabi":[79],"identify":[81],"\\"blind":[83],"spots\\"":[84],"before":[85],"instruction;":[86],"(2)":[87],"Smart":[88],"Design,":[89],"focuses":[91],"on":[92,142],"creating":[93],"contextualized,":[94],"performance-based":[95],"tasks":[96],"lesson":[98],"plans":[99],"with":[100,178],"embedded":[101],"preventive":[102],"(remedial)":[103],"layers":[104],"are":[106],"resilient":[107],"AI-assisted":[109],"shortcuts;":[110],"(3)":[112],"Data-Driven":[113],"Feedback,":[114],"leverages":[116],"analyzing":[119],"student":[120],"outputs":[121],"generating":[123],"personalized,":[124],"growth-oriented":[125],"feedback.":[126],"FLA":[128],"Framework":[129],"addresses":[130],"critical":[132],"gap":[133],"current":[135],"programs,":[138],"often":[140],"focus":[141],"demonstration":[145],"rather":[146,157],"than":[147,158],"integration.":[149],"By":[150],"positioning":[151],"proactive":[154],"\\"learning":[155],"agents\\"":[156],"passive":[159],"content":[160],"transmitters,":[161],"this":[162],"offers":[164],"scalable,":[166],"evidence-informed":[167],"approach":[168],"AI-enhanced":[170],"teaching":[171],"education.":[174],"concludes":[177],"implications":[179],"development,":[182],"design,":[184],"educational":[186],"research.":[187]}
Authors
- Hossein Talebzadeh (ORCID: https://orcid.org/0009-0009-4312-1244)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-10
- DOI
- https://doi.org/10.5281/zenodo.22686429
- Primary Topic
- Online Learning and Analytics
- Type
- preprint