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Seamless Learning Research and Development in China

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World Conference on Mobile and Contextual Learning,


As a new learning model in the digital era, seamless learning has developed rapidly in China in recent years alongside mobile learning and ubiquitous learning. The objective of this paper is three-fold: i) provide an overview of the research trajectory on seamless learning in China foregrounding its developmental process; ii) discuss the status of academic research in seamless learning; and iii) analyse two cases on seamless learning research. In China, most of seamless learning studies take place in higher education and lifelong learning. The research orientation of seamless learning mainly focuses on the theoretical foundations, design of seamless learning environment, and applications of seamless learning. Case studies in seamless learning research at Shanghai Open University (SOU) to foster lifelong education and higher education were analysed and presented in this paper. In lifelong education, functional design of supportive system and effects of learners' application were primary concerns. The system built in SOU integrating online learning and various learning resources enabled learners to leverage distributed learning resources and one-stop access services. This made it possible for students to learn with the Internet, mobile, IPTV and digital TV. Many other channels for seamless learning, diversification, personalized learning to meet users’ needs and built-in ubiquitous learning network. As for higher education, a WeChatbased Mobile learning ecosystem enabled teachers and students to easily participate in instructional activities anytime and anywhere. In the future, with emerging technologies, such as artificial intelligence and big data, seamless learning research in China may shift its focus to the combination of online and offline learning environments and active intelligent learning design


Xiao, J., Wang, L., Wang, H. & Pan, Z. (2019). Seamless Learning Research and Development in China. In Proceedings of World Conference on Mobile and Contextual Learning 2019 (pp. 149-156). Retrieved June 27, 2022 from .