Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Work
 3. The model and problems
 4. Ubiquitous Learning Scheduler (ULS)
  4.1 Basic ideas
  4.2 How to display a learning schedule chart.
  4.3 Basic support
  4.4 Supports to avoid failure during learning.
  4.5 Design of the system
  4.6 How to decide a grid’s color
 5. Implementation and evaluation of the system
  5.1 Implementation environment
  5.2 Evaluation of the system
 6. Conclusion
 References

저자

• Mianxiong Dong [ Graduate School of Computer Science and Engineering, The University of Aizu Aizu-Wakamatsu, Fukushima, 965-8580, Japan ]
• Kaoru Ota [ Department of Computer Science, Oklahoma State University Stillwater, OK, 74077, USA ]
• Feilong Tang [ Department of Computer Science and Engineering, Shanghai Jiao Tong University Shanghai, 200030, China ]
• Minyi Guo [ School of Computer Science and Engineering, The University of Aizu Aizu-Wakamatsu, Fukushima, 965-8580, Japan ]
• Zixue Cheng [ School of Computer Science and Engineering, The University of Aizu Aizu-Wakamatsu, Fukushima, 965-8580, Japan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605