Transactions of Japanese Society for Information and Systems in Education
Online ISSN : 2188-0980
Print ISSN : 1341-4135
ISSN-L : 1341-4135
Volume 31, Issue 2
Displaying 1-9 of 9 articles from this issue
Preface
Original Paper
  • Hidekazu Kaminishi, Masao Murota
    2014 Volume 31 Issue 2 Pages 172-184
    Published: April 01, 2014
    Released on J-STAGE: April 28, 2014
    JOURNAL FREE ACCESS
    In this paper, we developed a tool called “CodEx GUI Editor” for creating and editing presentation slides for CodEx. CodEx is an Web-based presentation software for lectures on Web programming languages. CodEx GUI Editor was implemented using HTML5/CSS3 technologies and works on the client side. This editor provides GUI interfaces and WYSIWYG functions which allow users to place slide elements graphically. This editor also provides special functions to manage “code box” and “execution box” on CodEx slides. Evaluation experiments showed that this editor worked well and all participants could make slides easily through GUI interfaces. However, usability improvements are needed on the layout change function.
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Practical Paper
  • Akiko Ishikawa, Kayo Ogawa, Pitoyo Hartono
    2014 Volume 31 Issue 2 Pages 185-196
    Published: April 01, 2014
    Released on J-STAGE: April 28, 2014
    JOURNAL FREE ACCESS
    Due to the growing accessibility of high speed internet, the increasing of computational performance of personal computers and the decreasing cost for data storage, in the last few years we have seen the proliferation of Learning Management Systems (LMS) to support e-learning. The original goal of LMS is to enable educational institutions to efficiently acquire learning data and utilize them for designing efficient teaching strategies. However, analyzing these data is often prohibitively difficult due to their complexity and volume. In this research, we develop an analytical method for extracting cluster characteristics of students from their learning data. The proposed method efficiently combines clustering algorithm with visualization method and can be applied to general learning data.
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Short Notes
Practical Report
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