{"id":105,"date":"2022-07-30T12:15:49","date_gmt":"2022-07-30T03:15:49","guid":{"rendered":"https:\/\/web.learning-engineering.com\/?page_id=105"},"modified":"2022-07-30T12:15:49","modified_gmt":"2022-07-30T03:15:49","slug":"2007%e5%b9%b4%e5%ba%a6%e7%a0%94%e7%a9%b6%e6%a5%ad%e7%b8%be","status":"publish","type":"page","link":"https:\/\/web.learning-engineering.com\/?page_id=105","title":{"rendered":"2007\u5e74\u5ea6\u7814\u7a76\u696d\u7e3e"},"content":{"rendered":"\n

\u25cb\u53d7\u8cde<\/h3>\n\n\n\n
  1. \u6771\u672c\u5d07\u4ec1, \u300c\u5e83\u5cf6\u5927\u5b66\u30a8\u30af\u30bb\u30ec\u30f3\u30c8\u30fb\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u30fb\u30b9\u30ab\u30e9\u30b7\u30c3\u30d7\u300d\u6210\u7e3e\u512a\u79c0\u5b66\u751f,2007.6<\/li>
  2. \u5c3e\u5d0e\u6634, \u300c\u5927\u5b66\u9662\u7b2c\uff11\u7a2e\u5968\u5b66\u91d1\u8fd4\u9084\u5168\u984d\u514d\u9664\u300d,2007.5<\/li>
  3. \u6d66\u667a\u5e78, \u300c\u5e83\u5cf6\u5927\u5b66\u30a8\u30af\u30bb\u30ec\u30f3\u30c8\u30fb\u30b9\u30c1\u30e5\u30fc\u30c7\u30f3\u30c8\u30fb\u30b9\u30ab\u30e9\u30b7\u30c3\u30d7\u300d\u6210\u7e3e\u512a\u79c0\u5b66\u751f,2007.6<\/li><\/ol>\n\n\n\n

    <\/a><\/a>\u25cb\u539f\u8457\u8ad6\u6587<\/h3>\n\n\n\n
    1. \u8107\u5c71\u5b5d\u8cb4, \u5409\u9ad8\u6df3\u592b, \u5e73\u5d8b\u5b97, \u6ce8\u76ee\u306e\u691c\u51fa\u306b\u57fa\u3065\u3044\u305f\u8208\u5473\u30e2\u30c7\u30eb\u306e\u4f5c\u6210\u3068\u7d75\u753b\u63a8\u85a6, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol. 48, No. 3, pp.1048-1057, 2007.<\/li>
    2. \u6771\u672c\u5d07\u4ec1, \u5e02\u5c06\u6cbb, \u5e73\u5d8b\u5b97, \u7af9\u5185\u7ae0, \u591a\u6841\u6e1b\u7b97\u3092\u5bfe\u8c61\u3068\u3057\u305f\u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a, \u65e5\u672c\u6559\u80b2\u5de5\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol.31, No.1, pp.61-68, 2007.6<\/a><\/li>
    3. \u6a2a\u5c71\u7422\u90ce, \u5e73\u5d8b\u5b97, \u5ca1\u672c\u771f\u5f66, \u7af9\u5185\u7ae0, \u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u5c0f\u5b661\u5e74\u751f\u3067\u306e\u5229\u7528\u5831\u544a, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u8a8c, Vol.24, No.1, pp.68-74, 2007.1<\/li>
    4. \u5de5\u85e4\u7167\u4e45, \u5e73\u5d8b\u5b97, \u7af9\u5185\u7ae0, \u7b97\u6570\u306e\u6587\u7ae0\u984c\u3092\u5bfe\u8c61\u3068\u3057\u305f\u7570\u7a2e\u6f14\u7fd2\u306e\u8907\u5408\u7684\u904b\u7528\u306e\u8a66\u307f, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u8a8c, Vol.24, No.1, pp.62-67, 2007.1<\/li>
    5. \u6885\u6d25\u5b5d\u4fe1, \u5e73\u5d8b\u5b97, \u30d7\u30ed\u30d1\u30c6\u30a3\u4ea4\u63db\u6cd5\u3068\u305d\u308c\u306b\u57fa\u3065\u304f\u5b66\u7fd2\u30b2\u30fc\u30e0\u8a2d\u8a08\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, Vol.22, No.1, pp.19-28, 2007.1<\/li>
    6. \u6771\u672c\u5d07\u4ec1, \u5800\u53e3\u77e5\u4e5f, \u5e73\u5d8b\u5b97, \u7af9\u5185\u7ae0, \u5b9f\u9a13\u65b9\u6cd5\u306e\u8003\u6848\u306b\u3088\u308b\u5b66\u7fd2\u3092\u652f\u63f4\u3059\u308b\u4eee\u60f3\u5b9f\u9a13\u74b0\u5883\u306e\u69cb\u7bc9, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u8a8c, Vol.24, No.2, pp.83-94, 2007.6<\/li>
    7. \u6a2a\u5c71\u7422\u90ce<\/a>, <\/a>\u5e73\u5d8b\u5b97<\/a>, <\/a>\u5ca1\u672c\u771f\u5f66<\/a>, <\/a>\u7af9\u5185\u7ae0<\/a>, <\/a>\u5358\u6587\u7d71\u5408\u306b\u3088\u308b\u4f5c\u6587\u3092\u5bfe\u8c61\u3068\u3057\u305f\u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u9577\u671f\u7684\u5229\u7528\u3068\u305d\u306e\u52b9\u679c<\/a>, <\/a>\u65e5\u672c\u6559\u80b2\u5de5\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/a>, Vol.30, No.4, pp.333-341, 2007<\/a><\/li><\/ol>\n\n\n\n

      <\/a><\/a> \u25cb\u56fd\u969b\u4f1a\u8b70<\/h3>\n\n\n\n
      1. Atsuo YOSHITAKA, K. WAKIYAMA, Tsukasa HIRASHIMA, Recommendation of Visual Information by Gaze-Based Implicit Preference Acquisition, Proc.of 13th International Multimedia Modeling Conference (LNCS4351), pp.126-137, 2007.1<\/li>
      2. Tsukasa HIRASHIMA, Takuro YOKOYAMA,Masahiko OKAMOTO, Akira TAKEUCHI, Learning by Problem-Posing as Sentence-Integration and Experimental Use, <\/a>Proc. of AIED2007<\/a>, pp254-261<\/a>,<\/a> 2007 (aceptance rate 30%)<\/a><\/li>
      3. Tsukasa HIRASHIMA, Differential Indexing as a Metadata Model of Exercise Problems, Proc. of Supplemental Proceedings of ICCE2007, pp.123-127, 2007<\/li>
      4. Tomoya HORIGUCHI,Isao IMAI,Takahito TOUMOTO,Tsukasa HIRASHIMA, A Classroom Practice of Error-based Simulation as Counterexample to Students’ Misunderstanding of Mechanics, ICCE2007, 2007, pp.519-525, 2007 (53 full papere acceptance in 229 submissions:acceptance rate: 23%)<\/li>
      5. Takanobu UMETSU, Yoshinori KAKIYA, Tsukasa HIRASHIMA, Akira TAKEUCHI, Automatic Generation of Computer-Based Learning Games for Problem Solving, ICCE2007, 2007, pp.65-66, 2007<\/li><\/ol>\n\n\n\n

        <\/a><\/a>\u25cb\u7814\u7a76\u4f1a\u30fb\u5168\u56fd\u5927\u4f1a\u7b49\u53e3\u982d\u767a\u8868<\/h3>\n\n\n\n
        1. \u6771\u672c\u5d07\u4ec1, \u5800\u53e3\u77e5\u4e5f, \u5e73\u5d8b\u5b97, \u30de\u30a4\u30af\u30ed\u30ef\u30fc\u30eb\u30c9\u30b0\u30e9\u30d5\u306b\u304a\u3051\u308b\u79fb\u884c\u30bf\u30b9\u30af\u81ea\u52d5\u751f\u6210\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9, \u7b2c21\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2007.6<\/a><\/li>
        2. \u821f\u751f\u65e5\u51fa\u7537, \u7a50\u5c71\u96c5\u53f2, \u5e73\u5d8b\u5b97, \u554f\u984c\u89e3\u6c7a\u30d7\u30ed\u30bb\u30b9\u3092\u5229\u7528\u3057\u305f\u9078\u629e\u554f\u984c\u306e\u8aa4\u9078\u629e\u80a2\u3068\u89e3\u8aac\u306e\u81ea\u52d5\u751f\u6210, \u7b2c21\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2007.6<\/li>
        3. \u5409\u9ad8\u6df3\u592b, \u8107\u5c71\u5b5d\u8cb4, \u5e73\u5d8b\u5b97, \u7d75\u753b\u3092\u4f8b\u3068\u3057\u305f\u9451\u8cde\u6d3b\u52d5\u306e\u5171\u6709\u306b\u57fa\u3065\u304f\u60c5\u5831\u63a8\u85a6, \u7b2c21\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2007.6<\/li>
        4. \u6d66\u667a\u5e78, \u6771\u672c\u5d07\u4ec1, \u5800\u53e3\u77e5\u4e5f, \u5e73\u5d8b\u5b97, What if not \u65b9\u7565\u3092\u7528\u3044\u305f\u4f5c\u554f\u5b66\u7fd2\u306e\u77e5\u7684\u652f\u63f4, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u7b2c\uff13\uff12\u56de\u5168\u56fd\u5927\u4f1a, pp.130-131, 2007.9<\/li>
        5. \u4e2d\u9053\u5b5d\u4e4b, \u6771\u672c\u5d07\u4ec1, \u5e73\u5d8b\u5b97, \u5f0f\u3068\u72b6\u6cc1\u306e\u7d50\u3073\u4ed8\u3051\u3092\u6307\u5411\u3057\u305f\u6e2c\u5b9a\u6f14\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u7b2c\uff13\uff12\u56de\u5168\u56fd\u5927\u4f1a, pp.132-133, 2007.9<\/li>
        6. \u4eca\u4e95\u529f, \u5e73\u5d8b\u5b97, \u5800\u53e3\u77e5\u4e5f, \u6771\u672c\u5d07\u4ec1, \u30cb\u30e5\u30fc\u30c8\u30f3\u306b\u6311\u6226\uff1aError\uff0dbased Simulation \u3092\u7528\u3044\u305f\u4e2d\u5b66\u7406\u79d1\u306e\u6388\u696d\u5b9f\u8df5 \u30fc\u5b66\u7fd2\u52b9\u679c\u306e\u7dad\u6301\u3068\u8ee2\u79fb\u306e\u53ef\u80fd\u6027\u3092\u4e2d\u5fc3\u306b\u30fc, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u7b2c\uff13\uff12\u56de\u5168\u56fd\u5927\u4f1a, pp.356-357, 2007.9<\/li>
        7. \u5c71\u91cd\u76f4\u7f8e, \u5e73\u5d8b\u5b97, \u821f\u751f\u65e5\u51fa\u7537, \u5b66\u7fd2\u8005\u306b\u9069\u5fdc\u3057\u305f\u97f3\u697d\u30ea\u30ba\u30e0\u5b66\u7fd2\u30b7\u30b9\u30c6\u30e0, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u7b2c\uff13\uff12\u56de\u5168\u56fd\u5927\u4f1a, 2007.9<\/li>
        8. \u5e73\u5d8b\u5b97, \u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u6f14\u7fd2\u554f\u984c\u306e\u5b9a\u7fa9\u3068\u30e1\u30bf\u30c7\u30fc\u30bf\u4f5c\u6210\u6cd5, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u7b2c\uff13\uff12\u56de\u5168\u56fd\u5927\u4f1a, pp.14\uff0d15, 2007<\/li>
        9. \u5e73\u5d8b\u5b97, \u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u305f\u3081\u306e\u6a5f\u80fd\u5b9f\u73fe\u3068\u7814\u7a76\u8a55\u4fa1, \u7b2c23\u56de\u65e5\u672c\u6559\u80b2\u5de5\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, K3-115-01, 2007<\/li>
        10. \u897f\u7530\u8b19\u592a\u90ce, \u5409\u9ad8\u6df3\u592b, \u5e73\u5d8b\u5b97, \u505c\u7559\u70b9\u306e\u6642\u9593\u7684\u306a\u767a\u751f\u983b\u5ea6\u306b\u7740\u76ee\u3057\u305f\u6ce8\u76ee\u70b9\u691c\u51fa\u6cd5\u306e\u691c\u8a0e, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, 2007-HI-122,Vol. 2007, No. 11, pp.121-126, 2007<\/li>
        11. \u5c3e\u5d0e\u6634, \u5409\u9ad8\u6df3\u592b, \u5e73\u5d8b\u5b97, \u30ab\u30e1\u30e9\u30ef\u30fc\u30af\u3092\u542b\u3093\u3060\u30b7\u30e7\u30c3\u30c8\u30fb\u30ea\u30d0\u30fc\u30b9\u30b7\u30e7\u30c3\u30c8\u306b\u3088\u308a\u69cb\u6210\u3055\u308c\u308b\u5834\u9762\u306e\u62bd\u51fa,\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, PRMU2006-210, Vol. 106, No. 538, pp.23-38, 2007<\/li>
        12. \u5409\u9ad8\u6df3\u592b, \u795e\u5409\u8a13\u5609, \u5e73\u5d8b\u5b97, \u5b9f\u4e16\u754c\u306b\u304a\u3051\u308b\u884c\u52d5\u60c5\u5831\u306e\u5171\u6709\u306b\u57fa\u3065\u304f\u60c5\u5831\u691c\u7d22, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7b2c\u4e8c\u7a2e\u7814\u7a76\u4f1a\u7814\u7a76\u5831\u544a, WI2-2007, pp. 79-84, 2007<\/li>
        13. \u5009\u5c71\u3081\u3050\u307f, \u821f\u751f\u65e5\u51fa\u7537, \u5e73\u5d8b\u5b97, \u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u5b9f\u8df5\u4f8b\u3068\u30b7\u30b9\u30c6\u30e0\u62e1\u5f35\u306e\u63d0\u6848, 2007\u5e74JSiSE\u4e2d\u56fd\u652f\u90e8\u7814\u7a76\u767a\u8868\u4f1a, 2007.6 pp.26-28<\/a><\/li>
        14. \u5409\u9ad8\u6df3\u592b, \u7530\u4e2d\u58ee\u8a69, \u5e73\u5d8b\u5b97, \u6620\u753b\u7b49\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30c0\u30a4\u30b8\u30a7\u30b9\u30c8\u6620\u50cf\u751f\u6210\u306e\u305f\u3081\u306e\u6620\u50cf\u7279\u5fb4\u306b\u95a2\u3059\u308b\u691c\u8a0e, \u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a\u4f1a, 2007-HCI-124, pp.79-86, 2007<\/li>
        15. \u5800\u53e3\u77e5\u4e5f, \u4eca\u4e95\u529f, \u6771\u672c\u5d07\u4ec1, \u5e73\u5d8b\u5b97 Error-based Simulation\u3092\u7528\u3044\u305f\u4e2d\u5b66\u7406\u79d1\u306e\u6388\u696d\u5b9f\u8df5\u5831\u544a, \u7b2c50\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1a\uff08SIG-ALST\uff09, pp.7-12, 2007.7<\/li>
        16. \u6771\u672c\u5d07\u4ec1, \u5e73\u5d8b\u5b97, \u529b\u5b66\u3092\u5bfe\u8c61\u3068\u3057\u305f\u6570\u5f0f\u304b\u3089\u306e\u7269\u7406\u72b6\u6cc1\u306e\u8a2d\u8a08\u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0, \u7b2c50\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1a\uff08SIG-ALST\uff09, pp.31-36, 2007.7<\/li><\/ol>\n\n\n\n

          <\/a><\/a>\u25cb\u89e3\u8aac\u30fb\u7dcf\u8ad6\u7b49<\/h3>\n\n\n\n

          <\/a><\/a>\u25cb\u8457\u66f8<\/h3>\n\n\n\n