• DocumentCode
    1839129
  • Title

    Supporting Language Learning Using SenseCam

  • Author

    Hou, Bin ; Ogata, Hiroaki ; Li, Mengmeng ; Uosaki, Noriko

  • Author_Institution
    Dept. of Inf. Sci. & Intell. Syst., Univ. of Tokushima, Tokushima, Japan
  • fYear
    2012
  • fDate
    27-30 March 2012
  • Firstpage
    331
  • Lastpage
    332
  • Abstract
    In our previous works, we developed a system named SCROLL in order to log, organize, recall and evaluate the learning log. However up to now, we just use an active mode to record logs. This means that a learner must take a capture of learned contents consciously and most of learning chances be lost unconsciously. This paper proposes a system named PACALL (Passive Capture for Learning Log) in order to have a passive capture using SenseCam to solve this problem. With the help of SenseCam, learner´s activity can be captured as a series of images. With the help of this system, a learner can find the important images by analyzing sensor data and images processing technology. Finally, the selected images will be uploaded to the current SCROLL system as ubiquitous learning logs. This research suggests that SenseCam can be used to do passive capture of learning experiences and workload of reflection can be reduced by analyzing sensor data of SenseCam.
  • Keywords
    computer aided instruction; educational administrative data processing; humanities; image sequences; natural languages; ubiquitous computing; PACALL system; SCROLL system; SenseCam; image capture; image processing technology; language learning; learned content capture; passive capture for learning log; sensor data analysis; ubiquitous learning logs; Browsers; Computers; Digital cameras; Image processing; Registers; Streaming media; PACALL; SenseCam; learning log; life log; passive capture; ubiquitous 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.2012.79
  • Filename
    6185059