| dc.contributor.author | Tan, Qing | |
| dc.date.accessioned | 2011-11-18T20:42:47Z | |
| dc.date.available | 2011-11-18T20:42:47Z | |
| dc.date.issued | 2011-11-18T20:42:47Z | |
| dc.identifier.uri | http://hdl.handle.net/2149/3135 | |
| dc.description | During the research visits, I have made several presentations at the universities in Taiwan and China, including National Cheng Kung University (Tainan), Chai-Nan University of Pharmacy Science (Tainan), National Kaohsiung First University of Science and Technology (Kaohsiung), The Open University of China (Beijing), and Chongqing University (Chongqing). The presentation titles are: The 5R Adaptation Framework for Location-Based Mobile Learning Systems , Location-Based Mobile Computing and Applications, and Location-based Mobile Computing and application for Distance Learning. The 5R Adaptation Framework for Location-Based Mobile Learning Systems is published and was presented on MLearn2011 conference, Beijing and it received Outstanding Paper award. (URL: http://mlearn.bnu.edu.cn/Awards.html). The research visits and presentations were very successful, which give me a great opportunity to disseminate my research work on Location-based mobile computing and to discuss and enhance collaborations with international researchers and scholars. It also gave me a great opportunity to promote AU’s research and education. | en |
| dc.description.abstract | Utilizing the location-awareness of mobile devices in developing innovative mobile application system has attracted much attention of academic researchers and commercial application developers. Location-based mobile learning systems have taken the advantage of the mobile devices to enhance learner’s interaction with the learning context. This paper presents the 5R adaptation framework for location-based mobile learning system, which takes learner, location, time, and mobile device into learning contents generation process and implements a wide-ranging adaptation in the mobile learning environment. As a result, a standard structure for adaptive mobile learning system is proposed. | en |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | 92.927.G1306; | |
| dc.subject | Mobile devices | en |
| dc.subject | 5R adaptation | en |
| dc.subject | Mobile learning | en |
| dc.title | Effective SQL Injection Attack Reconstruction Using Network Recording | en |
| dc.type | Presentation | en |
