DocumentCode :
1839593
Title :
Personalization in Context-aware Ubiquitous Learning-Log System
Author :
Li, Mengmeng ; Ogata, Hiroaki ; Hou, Bin ; Uosaki, Noriko ; Yano, Yoneo
Author_Institution :
Inst. of Technol. & Sci., Univ. of Tokushima, Tokushima, Japan
fYear :
2012
fDate :
27-30 March 2012
Firstpage :
41
Lastpage :
48
Abstract :
This paper describes a ubiquitous learning log system called SCROLL (System for Capturing and Reminding of Learning Log). Learning log stands for the log of knowledge or learning experience acquired ubiquitously. This study primarily exploits a personalized learning and context-aware method supporting ubiquitous learning log system. Its aims lie in helping learners recall what they have logged (learned) making use of the contexts and learners´ learning habits. The method contains three main measures, which are to recommend learning objects in accordance with both learners´ needs and contexts, to detect their learning habits using the context history and to prompt them to review what they have learned regarding their learning habits. What´s more, by monitoring learners´ reaction on the recommendation or prompting, the method can improve its prediction. An experiment was conducted to evaluate SCROLL and the method. The results demonstrate that the system is very helpful for the learners and they benefit from the context-based recommendation and learning-style based prompting well.
Keywords :
computer aided instruction; ubiquitous computing; SCROLL; context-aware ubiquitous learning-log system; context-based recommendation; learning habit detection; learning-style based prompting; personalized learning; Androids; Context; History; Humanoid robots; Internet; Sensors; Smart phones; context-aware learning; language learning; learning habits; learning log; personalized learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless, Mobile and Ubiquitous Technology in Education (WMUTE), 2012 IEEE Seventh International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-0884-7
Type :
conf
DOI :
10.1109/WMUTE.2012.14
Filename :
6185078
Link To Document :
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