Smart immersive education for smart cities: With support via intelligent pedagogical agents

The continued development of traditional education environments into smart ones is gaining tremendous speed with the rapid advances in technology. This paper explores the importance of immersive learning environment as an educational infrastructure for smart cities. It discusses the requirements for the smart city and suggests a bi-directional link between the physical environment and the immersive virtual environment. It gives example scenarios based on linking location services to a virtual world. Based on prior work on intelligent pedagogical agents, it suggests a non-conventional smart interface for smart-city services and in particular for educational needs. The proposed architecture enables the integration of various new application scenarios and potential new services such as contextual navigation support, augmented attendance, locating collaborating peers, and serving learners with special needs.

[1]  Barney Dalgarno,et al.  What are the learning affordances of 3-D virtual environments? , 2010, Br. J. Educ. Technol..

[2]  Mohamed Soliman,et al.  A survey of pedagogical functions of intelligent agents in virtual learning environments , 2011 .

[3]  Antonio F. Gómez-Skarmeta,et al.  A Global Perspective of Smart Cities: A Survey , 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[4]  Christian Gütl,et al.  Evaluation study and results of intelligent pedagogical agent-led learning scenarios in a virtual world , 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[5]  G. Hanley.  e‐Learning and the Science of Instruction , 2004 .

[6]  Toshiro Kawahara,et al.  Robust indoor location estimation of stationary and mobile users , 2004, IEEE INFOCOM 2004.

[7]  Mohamed Soliman,et al.  Supporting Collaborative Learning in Virtual Worlds by Intelligent Pedagogical Agents: Approach, Perspectives , 2013, AIED Workshops.

[8]  ปุริม ชฎารัตนฐิติ.  AIML: Artificial Intelligence Markup Language , 2014 .

[9]  W. Chung,et al.  Enhanced Rssi-Based High Accuracy Real-Time User Location Tracking System For Indoor And Outdoor Environments , 2008 .

[10]  Fortunato Santucci,et al.  Locating zigbee® nodes using the ti®s cc2431 location engine: a testbed platform and new solutions for positioning estimation of wsns in dynamic indoor environments , 2008, MELT '08.

[11]  C. Guetl,et al.  Experiences with BDI-based design and implementation of Intelligent Pedagogical Agents , 2012, 2012 15th International Conference on Interactive Collaborative Learning (ICL).

[12]  Christian Gütl,et al.  Simulating Interactive Learning Scenarios with Intelligent Pedagogical Agents in a Virtual World through BDI-Based Agents , 2013, Int. J. Eng. Pedagog..

[13]  Masayuki Murata,et al.  Indoor Localization System using RSSI Measurement of Wireless Sensor Network based on ZigBee Standard , 2006, Wireless and Optical Communications.

[14]  Lin Ma,et al.  WLAN indoor positioning algorithm based on sub-regions information gain theory , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[15]  Christian Gütl,et al.  Collaborative Virtual 3D Environment for Internet-Accessible Physics Experiments , 2009, Int. J. Online Eng..

[16]  Christian Gütl,et al.  Implementing Intelligent Pedagogical Agents in virtual worlds: Tutoring natural science experiments in OpenWonderland , 2013, 2013 IEEE Global Engineering Education Conference (EDUCON).