e-Learning学習環境において形成されるコミュニケーション・ネットワークの構造的な特性を分析する試み(<特集>学習オブジェクト・学習データの活用と集約)  [in Japanese] An Analysis of Characteristic Properties of Communication Network Structure in E-Learning Courses(<Special Issue> Application and Aggregation of Learning Objects and Learning Data)  [in Japanese]

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Abstract

われわれは,Complex Networks(複雑ネットワーク)の解析手法を応用し,e-Learning高等教育で実際に活用されたBulletin Board System (BBS)上のログ・データの解析を行った.その結果そこには次のような構造上の特性を確認することができた.(1)コミュニケーションのネットワークは概ねSmall World性を持っている.(2)授業環境によってはリッチ・クラブ現象(rich-club phenomenon)の発生を近似的に認めることができる.(3)学習環境におけるコミュニケーション・ネットワークの次数相関は非社会的,人工的,遺伝学的なネットワークと類似している傾向を示す.本研究ではこれらの実証分析の結果を明らかにするとともに,(1)e-Learning学習環境とコミュニケーション・ネットワーク構造との関係(2)構造的に豊かなコミュニケーション・ネットワークが形成されるための要因(3)学習環境の「社会化」とネットワーク構造の関係について仮説を提示する.

Inspired by rapid growth and notable developments of Complex Networks Sciences, whose indispensable pillars are statistical mechanics, probability theory, and graph theory, researchers have in recent years found out that there are many interesting properties of real networks such as the Internet, social networks, a number of biological networks, the electric power grid, and so on. The purpose of this paper is to analyze log data recorded on a bulletin board system used in e-Learning faculty courses and to investigate, based on complex networks sciences, characteristic properties of communication networks in e-Learning environments. In this paper, we clarify the following matters: 1) the Small-World property (in the sense of Watts and Strogatz) is observed in most of communication networks. 2) The rich-club phenomenon is observed in some networks. 3) Communication networks whose nodes represent participants in e-Learning courses are disassortative, which means those communication networks are somewhat similar to nonhuman networks, artificial networks, or biological networks, not to social networks. In addition to those empirical evidences, we present some hypotheses concerned with communication networks structure in e-Learning environments.

Journal

  • Japan Journal of Educational Technology

    Japan Journal of Educational Technology 31(3), 359-371, 2007

    Japan Society for Educational Technology

References:  40

Cited by:  3

Codes

  • NII Article ID (NAID)
    110006794724
  • NII NACSIS-CAT ID (NCID)
    AA11964147
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1349-8290
  • NDL Article ID
    9371070
  • NDL Source Classification
    ZF1(教育)
  • NDL Call No.
    Z7-904
  • Data Source
    CJP  CJPref  NDL  NII-ELS  J-STAGE 
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