Synthetic Intelligence + Training: Principle and Follow in Utility Growth

As a piece that mixes cutting-edge concept with sensible worth for frontline academic practices, Synthetic Intelligence + Training: Principle and Follow in Utility Growth goals to assist educators confidently deal with the core challenges of digital and clever transformation of training. The ebook is authored by Dr. Feng Xiang, Affiliate Analysis Fellow within the Division of Training Data Expertise at East China Regular College (ECNU).

On the theoretical stage, Dr. Feng Xiang introduces Shannon’s Communication Principle to offer an in-depth evaluation of rising interplay fashions of “encoding” and “decoding” in educating inside the period of human–AI symbiosis. On the sensible stage, the ebook presents detailed analyses of typical academic software program software situations, together with learner modeling, adaptive studying path suggestion, and affective computing.

To interrupt down boundaries of growth, the ebook particularly explores low-code and no-code growth approaches. By introducing sensible instruments akin to App Inventor and Orange, it empowers educators and college students with out laptop science backgrounds to simply construct clever academic purposes. On the similar time, the ebook doesn’t keep away from the dangers related to know-how, however as a substitute displays critically on moral dilemmas akin to information privateness breaches, algorithmic bias, and the neglect of humanistic values. In response to the cognitive affect introduced by generative AI, the writer argues that the cultivation of future expertise ought to shift comprehensively towards “meta-knowledge, meta-thinking, and meta-awareness.”

This ebook will not be solely a information to technical growth, but additionally an enlightening exploration of the way forward for training below human–AI symbiosis.

Dr. Feng Xiang acquired his Ph.D. and accomplished postdoctoral analysis in laptop purposes at Shanghai Jiao Tong College and Alcatel Shanghai Bell. He’s at the moment an Affiliate Analysis Fellow and grasp’s supervisor. He’s affiliated with the Shanghai Engineering Analysis Middle of Digital Training Gear and the Division of Training Data Expertise at ECNU. He additionally serves as a committee member of the Instructional Expertise Subcommittee of the Nationwide Data Expertise Standardization Technical Committee and as Deputy Secretary-Common of the Skilled Committee on Data Expertise Training for Main and Secondary Colleges of the Chinese language Society of Training (eighth and ninth Councils).

Dr. Feng Xiang has been dedicated to analysis within the discipline of academic informatization. In current years, he has targeted on the main areas together with AI purposes in training, studying analytics, AI and programming training in K12 faculties, and academic digitalization. He has led and took part in a number of main national- and provincial-level analysis tasks associated to AI in training. He has revealed greater than 30 educational papers in main home and worldwide journals, listed by SCI, SSCI, EI, and CSSCI, and main worldwide conferences, and has been granted three nationwide invention patents and greater than ten software program copyrights.