A domain-agnostic approach for characterization of lifelong learning systems.
Megan M. BakerAlexander NewMario Aguilar-SimonZiad Al-HalahSébastien M. R. ArnoldEseoghene Ben-IwhiwhuAndrew P. BrnaEthan BrooksRyan C. BrownZachary DanielsAnurag Reddy DaramFabien DelattreRyan DellanaEric EatonHaotian FuKristen GraumanJesse HostetlerShariq IqbalCassandra KentNicholas KetzSoheil KolouriGeorge KonidarisDhireesha KudithipudiErik G. Learned-MillerSeungwon LeeMichael L. LittmanSandeep MadireddyJorge A. MendezEric Q. NguyenChristine D. PiatkoPraveen K. PillyAswin RaghavanAbrar RahmanSanthosh Kumar RamakrishnanNeale RatzlaffAndrea SoltoggioPeter StoneIndranil SurZhipeng TangSaket TiwariKyle VedderFelix WangZifan XuAngel Yanguas-GilHarel YedidsionShangqun YuGautam K. VallabhaPublished in: Neural Networks (2023)
Keyphrases
- learning systems
- computer supported
- learning process
- learning environment
- learning materials
- machine learning
- learning styles
- adaptive systems
- learning resources
- domain specific
- learning activities
- domain independent
- st century
- natural language processing
- learning scenarios
- m learning
- user interface
- technology enhanced learning
- natural language
- machine learning systems