Assist your study at home: Design, implementation and evaluation of the ULS system

Mianxiong Dong, Kaoru Ota, Feilong Tang, Minyi Guo, Zixue Cheng

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

With the great progress of technologies, computers are embedded into everywhere to make our daily life convenient, efficient and comfortable. Further more, most of them are small, powerful, intelligent and invisible. In a ubiquitous computing environment, support methods for learning are more effective than some traditional ways, such as WBT (Web-Based Training) and e-learning. In this paper, we proposed a support method which aims to encourage a learner to acquire his/her learning habit based on Behavior Analysis. The supports to the learner are provided through a scheduler system, a Ubiquitous Learning Scheduler (ULS). In our design, the learner's situations are collected by sensors and analyzed by comparing them to his/her learning histories. Based on this information, supports are provided to the learner in order to help him/her forming a good learning style. Our Research results revealed that ULS not only benefited learners to acquire their learning habits but also improved their self-directed learning styles.

Original languageEnglish
Pages (from-to)33-48
Number of pages16
JournalInternational Journal of Smart Home
Volume2
Issue number1
StatePublished - 2008
Externally publishedYes

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