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Recent rapid development of advanced information technology brings high expectations of its potential to improvement and innovations in learning. This special issue is devoted to using some of the emerging technologies issues related to the topic of education and knowledge sharing, involving several cutting edge research outcomes from recent advancement of learning technologies. Advanced learning technologies are the composition of various related technologies and concepts such as mobile technologies and social media towards learner centered learning. This editorial note provides an overview of relevant issues discussed in this special issue. | Knowledge Management E-Learning An International Journal Vol.4 No. 1. 1 Editorial Advanced learning technologies Stephen J.H. Yang Department of Computer Science and Information Engineering National Central University Taiwan E-mail jhyang@csie.ncu.edu.tw Gang-Shan Fu Department of Educational Science Shaanxi Normal University China E-mail fugsh@snnu.edu.cn Yu-Ju Lan Department of Applied Chinese Language and Literature National Taiwan Normal University Taiwan E-mail yujulan@gmail.com Jeff J.S. Huang Department of Computer Science and Information Engineering Hwa Hsia Institute of Technology Taiwan E-mail Jeff@cc.hwh.edu.tw Corresponding author Abstract Recent rapid development of advanced information technology brings high expectations of its potential to improvement and innovations in learning. This special issue is devoted to using some of the emerging technologies issues related to the topic of education and knowledge sharing involving several cutting edge research outcomes from recent advancement of learning technologies. Advanced learning technologies are the composition of various related technologies and concepts such as mobile technologies and social media towards learner centered learning. This editorial note provides an overview of relevant issues discussed in this special issue. Keywords Mobile technology Social media Learner-centered Content adaption Biographical notes Dr. Stephen J.H. Yang is a Distinguished Professor of Computer Science Information Engineering and the Associate Dean of Academic Affairs at the National Central University Taiwan. Dr. Yang received his Ph.D. degree in Electrical Engineering Computer Science from the University of Illinois at Chicago in 1995. Dr. Yang has published over 180 papers his research interests include knowledge management Second Life mobile learning Web 2.0 semantic Web social networks context aware ubiquitous learning. 2 s. J. H. Yang et al. 2012 Prof. Gang-Shan Fu is a Professor of Department of Educational .
