Chee-Kit Looi

The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area.

Supporting Learning Through Intelligent and Socially Informed Technology

Artificial Intelligence in Education

David H. Jonassen

Mitsuru Ikeda

One of the basic principles that underpin the learning sciences is to improve theories of learning through the design of powerful learning environments that can foster meaningful learning. Learning sciences researchers prefer to research learning in authentic contexts. They collect both qualitative and quantitative data from multiple perspectives and follow developmental micro-genetic or historical approaches to data observation. Learning sciences researchers conduct research with the intention of deriving design principles through which change and innovation can be enacted. Their goal is to conduct research that can sustain transformations in schools. We need to be cognizant of research that can inform and lead to sustainable and scalable models of innovation. In order to do so, we need to take an inter-disciplinary view of learning, such as that embraced by the learning sciences. This publication focuses on learning sciences in the Asia-Pacific context. There are researchers and young academics within the Asia-Pacific Society for Computers in Education (APSCE) community who are concerned with issues of conducting research that can be translated into practice. Changes in practice are especially important to Asian countries because their educational systems are more centralized. That is why there is a need to reform pedagogy in a more constructivist and social direction in a scalable way.

Sharing Good Practices of Research, Experimentation and Innovation

Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences

Lung-Hsiang Wong

Christian Glahn

Su Cai

This book introduces readers to the latest state of research and development in seamless learning. It consolidates various approaches to and practices in seamless learning from a range of techno-pedagogical, socio-situated and socio-cultural perspectives. Further, it details our current understanding of learning in both formal and informal settings, crossover learning, incidental learning, and context-based learning approaches, together with these aspects’ linkages to the notion of seamlessness. The book is divided into sections addressing the theorization of seamless learning, understanding informal learning, research methodological issues, technology-enabled seamless learning and real-world applications of seamless learning.

Perspectives, Challenges and Opportunities

Seamless Learning

Chee-Kit Looi

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