TY - CHAP
T1 - AI Thinking for Cloud Education Platform with Personalized Learning
AU - Rad, Paul
AU - Roopaei, Mehdi
AU - Beebe, Nicole
AU - Shadaram, Mehdi
AU - Au, Yoris A.
N1 - The Hawaii International Conference on System Sciences (HICSS) is one of the longest standing scientific communities in the information systems and technology fields. The 51st conference will take...
PY - 2018/1/3
Y1 - 2018/1/3
N2 - This paper was published in Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018). Artificial Intelligence (AI) thinking is a framework beyond procedural thinking and based on cognitive and adaptation to automatically learn deep and wide rules and semantics from experiments. This paper presents Cloud-eLab, an open and interactive cloud-based learning platform for AI Thinking, aiming to inspire i) Deep and Wide learning, ii) Cognitive and Adaptation learning concepts for education. It has been successfully used in various machine learning courses in practice, and has the expandability to support more AI modules. In this paper, we describe the block diagram of the proposed AI Thinking education platform, and provide two education application scenarios for unfolding Deep and Wide learning as well as Cognitive and Adaptation learning concepts. Cloud-eLab education platform will deliver personalized content for each student with flexibility to repeat the experiments at their own pace which allow the learner to be in control of the whole learning process.
AB - This paper was published in Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018). Artificial Intelligence (AI) thinking is a framework beyond procedural thinking and based on cognitive and adaptation to automatically learn deep and wide rules and semantics from experiments. This paper presents Cloud-eLab, an open and interactive cloud-based learning platform for AI Thinking, aiming to inspire i) Deep and Wide learning, ii) Cognitive and Adaptation learning concepts for education. It has been successfully used in various machine learning courses in practice, and has the expandability to support more AI modules. In this paper, we describe the block diagram of the proposed AI Thinking education platform, and provide two education application scenarios for unfolding Deep and Wide learning as well as Cognitive and Adaptation learning concepts. Cloud-eLab education platform will deliver personalized content for each student with flexibility to repeat the experiments at their own pace which allow the learner to be in control of the whole learning process.
KW - AI thinking
KW - Artificial Intelligence Machine learning AI Thinking Cloud Education Deep Learning
KW - Best and Next Practices in Online Education: Opportunities and Challenges
KW - Cloud education platform
KW - Personalized learning
UR - https://sciencegateways.org/news-detail/-/asset_publisher/2BOFLT87ou9B/content/51st-hawaii-international-conference-on-system-sciences-hicss-51-call-for-participation
U2 - 10.24251/HICSS.2018.003
DO - 10.24251/HICSS.2018.003
M3 - Chapter
AN - SCOPUS:85052158805
BT - Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018)
ER -