An Application Framework for Smart Education System Based on Mobile and Cloud Systems

Smart education environment, that is a learning environment utilizing the Information Communication Technology (ICT), has attracted a great deal of attention. In order to expand this environment, we need a system that can establish the learning environment armed cloud systems to reduce a significant strain on teaching staff. The important issue for such system is extensibility because the system should be adapted to many kinds of original digital learning material with minimum modification. Therefore, this paper proposes “An Application Framework for Smart Education System: SES Framework”. In this Smart Education System, multi-aspect information concerning to a technical term embedded in the original digital learning material can be retrieved from different social media automatically. They can be also displayed on multi-screen devices according to user’s operation. It is implemented based on “Transforming Model” which enables the migration of the original digital learning material to the smart education environment. It also has an easy operation flow for trainees named “three-step selection flow”. SES Framework derived from Model-View-Controller (MVC) pattern is based on the system architecture that enables triple mashup against the original digital learning material, external social media, and screen devices in front of users. All these functionalities have been implemented on cloud systems. We show SES Framework through the implementation example. We also demonstrate the effectiveness of SES Framework by indicating the system modification case study. key words: application framework, smart education, mobile and cloud systems, service-oriented architecture, Model-View-Controller

[1]  Tetsuya Ishikawa,et al.  Utilizing the World Wide Web as an Encyclopedia: Extracting Term Descriptions from Semi-Structured Texts , 2000, ACL.

[2]  Satoshi Sato,et al.  Domain classification of technical terms using the Web , 2007, Syst. Comput. Jpn..

[3]  Paul Pocatilu,et al.  Using cloud computing for E-learning systems , 2009 .

[4]  Nabil Sultan,et al.  loud computing for education : A new dawn ? , 2009 .

[5]  Peter Fankhauser,et al.  Boilerplate detection using shallow text features , 2010, WSDM '10.

[6]  S. Iyengar The Art of Choosing , 2010 .

[7]  Ji-Seong Jeong,et al.  Contents Oriented Cloud Educational Systems , 2012 .

[8]  Seiji Isotani,et al.  Work in progress: A generic model for interactivity-intense intelligent tutor authoring tools , 2012, 2012 Frontiers in Education Conference Proceedings.

[9]  Xiaodi Huang,et al.  An E-learning System Architecture based on Cloud Computing , 2012 .

[10]  Toru Kobayashi A proposal of Smart TV System focused on findability , 2013, 2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE).

[11]  Toru Kobayashi Information Orchestration System for Closing the Information Retrieval Capability Gap , 2014, 2014 IEEE 38th Annual Computer Software and Applications Conference.

[12]  B. L. Shivakumar,et al.  A Novel Application Framework for Educational Data Mining Towards Automated Learning System , 2014, 2014 International Conference on Intelligent Computing Applications.

[13]  Satish Bhutawale,et al.  E- Learning Using Cloud Computing , 2015 .

[14]  Chunling Cao Construction of the Individualized College English Learning Management System Using Ruby on Rails , 2015, ICSS.

[15]  Toru Kobayashi MSaaS-Type Smart Education Support System Using Social Media , 2015, 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering.

[16]  Toru Kobayashi An Application Framework for Trend Surfing System based on Multi-aspect, Multi-screen and Multimodal User Interface , 2015, J. Inf. Process..

[17]  Hiroyuki Sato,et al.  An Application Framework for Smart Education System Based on Mobile and Cloud Systems , 2017, IEICE Trans. Inf. Syst..