Education is one domain that has accompanied civilization through the centuries, adapting its tools to fulfill the expectations of the students and the needs of the teachers. Such tools can be as obvious and traditional as pencils and a notebook, or as complex and innovative as online courses, virtual, augmented and mixed reality environments.
As the development of technology offers a rapidly increasing number of outlets for creativity and communications, the world of education is undergoing significant renovations. Each day more instructions and open educational resources can be accessed from anywhere, at any time, and at no or little cost. Many universities, public institutions and private businesses are moving into the online and virtual worlds to reach their customers, creating rich virtual presence that cannot be delivered through a simple website. Showcasing these innovative changes in education through scientific research lens is the mission of this publication.
Launched in 2011, the EAI Endorsed Transactions on e-Learning aims at exploring innovative e-learning solutions that facilitate teaching and also spark the attention and imagination of students through interactivity, immersion, variety of content, and emerging technologies. We invite submissions from e-learning leaders, researchers, and practitioners around the world. This journal has published research reports as listed in Topics and will continue to observe the trend of development. In particular, articles published have primarily addressed:
and the design and implementation of social learning through the integration of learning management systems and social media.
Virtual and Augmented Learning Environments
Prof. Yu-Dong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA; and as an assistant research scientist from 2012 to 2013 with Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as Professor with Department of Informatics, University of Leicester, UK. His research interests include deep learning and medical image analysis. Prof. Zhang is the Fellow of IET (FIET), and Senior Members of IEEE and ACM. He was included in “Most Cited Chinese researchers (Computer Science)” by Elsevier from 2014 to 2018. He was the 2019 recipient of “Highly Cited Researcher” by Web of Science. He won “Emerald Citation of Excellence 2017” and “MDPI Top 10 Most Cited Papers 2015”. He was included in "Top Scientist" in Guide2Research. He is the author of over 200 peer-reviewed articles, including 16 “ESI Highly Cited Papers”, and 2 “ESI Hot Papers”.
Marco Zappatore is a telecommunications engineer who currently acts as a postdoctoral research fellow at the Department of Engineering for Innovation, University of Salento (Italy).
His main research interests are focused on data and knowledge management techniques, mobile crowd sensing and citizen science, semantic Web and ontologies. He is also involved in research activities dealing with sensor data management, remote engineering and applications of new learning paradigms (e.g., collaborative learning, mobile learning, BYOD, etc.). His expertise also deals with electromagnetic field measurements, radio-propagation analysis, wireless communication system (2G to 4G) planning and optimization. He is also involved in teaching activities dealing with software solutions for translators and interpreters. He has also co-authored more than 60 papers for national and international conferences and journals. He is member of several technical program committees in international conferences and journals. He acts as scientific reviewer for 12 international annual conferences and 14 international journals.
In 2014, he started collaborating with the European Alliance for Innovation (EAI) as Web Chair and TPC member/chair for several international conferences.