Integrative Learning in AI, Data Analytics and Social Sciences

Integrative learning, is both an educational philosophy and pedagogical approach, that aims to foster the ability of learners to connect knowledge and experiences from multiple disciplines to create a profound and deep understanding of the real world. AI, which does not start this process of digital society, presents itself both barriers and motivators to integrative learning. In what ways can educators combat with the know-it-all machines and yet be able to empower their students? Educators must dance with the Tygers, William Blake may have hinted.

Session Chairs

Prof. Tiong Tan, Singapore University of Social Sciences

Prof. Serge Lee, California State University, Sacramento

Prof. Rongjun Yu, Hong Kong Baptist University

Dr. Mengna Zhang, City Unity College, Nicosia, Cyprus

Prof. Johnston Wong, Beijing Normal - Hong Kong Baptist University

Prof. Smain Femmam, Director of research at the University of Haute-Alsace, France