{"id":111,"date":"2022-07-30T12:17:21","date_gmt":"2022-07-30T03:17:21","guid":{"rendered":"https:\/\/web.learning-engineering.com\/?page_id=111"},"modified":"2022-07-30T12:17:21","modified_gmt":"2022-07-30T03:17:21","slug":"2004%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=111","title":{"rendered":"2004\u5e74\u5ea6\u7814\u7a76\u696d\u7e3e"},"content":{"rendered":"\n

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<\/a><\/a>\u25cb\u539f\u8457\u8ad6\u6587<\/h3>\n\n\n\n
  1. \u5e73\u5d8b\u5b97, \u5409\u7530\u8aa0, \u4e2d\u91ce\u660e, \u7af9\u5185\u7ae0, \u554f\u984c\u5909\u66f4\u6f14\u7fd2\u306e\u305f\u3081\u306e\u5b66\u7fd2\u652f\u63f4\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u5b66\u4f1a\u8a8c, Vol.21, No.3, pp.223-231, 2004.7<\/li>
  2. \u570b\u8fd1\u79c0\u4fe1, \u672c\u7530\u5b9f, \u5e73\u5d8b\u5b97, \u7af9\u5185\u7ae0, \u82f1\u8a9e\u7269\u8a9e\u306b\u95a2\u3059\u308b\u8cea\u554f\u5fdc\u7b54\u306e\u305f\u3081\u306e\u4e88\u60f3\u6b63\u7b54\u6587\u3068\u306e\u6bd4\u8f03\u306b\u3088\u308b\u6b63\u8aa4\u5224\u5b9a\u6cd5, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u5b66\u4f1a\u8a8c, Vol.21, No.3, pp.232-240<\/a>, <\/a>2004.7<\/a><\/li>
  3. Atsuo TOSHITAKA,Yasuhiro HORI, Hirokazu SEKI, DigitalReminder\uff1aReal-World-Oriented Database System, EURASIP Journal on Applied Signal Processing, Vol.2004, No.11, pp.1663-1671, 2004.9<\/a><\/li>
  4. \u4e2d\u91ce\u660e, \u5e73\u5d8b\u5b97, \u7af9\u5185\u7ae0, \u554f\u984c\u3092\u6bd4\u8f03\u3059\u308b\u3053\u3068\u306b\u3088\u308b\u5b66\u7fd2\u306e\u652f\u63f4\u74b0\u5883, \u65e5\u672c\u6559\u80b2\u5de5\u5b66\u4f1a\u8ad6\u6587\u8a8c, 28\u5dfb, 3\u53f7, pp.171-182, 2004.12<\/a><\/li>
  5. \u4e2d\u91ce\u660e<\/a>, <\/a>\u67f3\u539f\u5065\u5fd7<\/a>, <\/a>\u5e73\u5d8b\u5b97<\/a>, <\/a>\u5ca1\u672c\u771f\u5f66<\/a>, <\/a>\u7af9\u5185\u7ae0<\/a>, <\/a>\u548c\u3068\u5dee\u306e\u4e8c\u9805\u6f14\u7b97\u306b\u95a2\u3059\u308b\u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u74b0\u5883\u5229\u7528\u306b\u3088\u308b\u7b97\u6570\u80fd\u529b\u3078\u306e\u5f71\u97ff\u8abf\u67fb<\/a>, <\/a>\u65e5\u672c\u6559\u80b2\u5de5\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/a>, 28<\/a>\u5dfb<\/a> ,3<\/a>\u53f7<\/a>, pp.205-216, 2004.12<\/a><\/li><\/ol>\n\n\n\n

    <\/a><\/a> \u25cb\u56fd\u969b\u4f1a\u8b70<\/h3>\n\n\n\n
    1. Yoshihiro FUKUNAGA, Akira TAKEUCHI,Tsukasa HIRASHIMA,Hidenobu KUNICHIKA, A Scaffold Process to Facilitate Comprehension in Web-Based Training, Proc.of 15th Information Resources Management Association International Conference,pp.1187-1188, 2004.5<\/li>
    2. Tomoya HORIGUCHI, Tsukasa HIRASHIMA, A simulation-based learning environment assisting scientific activities based on the classification of ‘surprisingness’, Proc.of ED-MEDIA2004, pp.497-504, 2004.6<\/a><\/li>
    3. Hidenobu KUNICHIKA, Minoru HONDA,Tsukasa HIRASHIMA, Akira TAKEUCHI, A Method of Judgment by Comparing Answer Sentences with Expected Correct Answers for Questions and Answers in CALL, Proc.of ED-MEDIA2004, pp.1413-1418, 2004.6<\/li>
    4. Atsuo TOSHITAKA, Kentaro UEDA, Retrieving the Movement of Multiple Objects based on Spatiotemporal Abstraction, Proc.IEEE 6th Workshop on Multimedia Signal Processing, pp.442-445, 2004.9\uff5e10<\/li>
    5. Tsukasa HIRASHIMA, A Metadata Editor of Exercise Problems for Intelligent e-Learning, Workshop Notes of Applications of Semantic Web Technologies for E-Learning at ISWC2004, pp.99-101, 2004.11<\/li>
    6. Tomoya HORIGUCHI, Tsukasa HIRASHIMA, Error-visualization in multi-agent social simulations for developing childrens’ statistical skills, ICCE2004, pp.105-111, 2004.11\uff5e12<\/li>
    7. Akira NAKANO, Tsukasa HIRASHIMA, Akira TAKEUCHI, A Support Environment for Learning by Describing Problem Map in Arithmetical WordProblems, ICCE2004, pp.213-225, 2004.11\uff5e12<\/li>
    8. Takanobu UMETSU, Tsukasa HIRASHIMA, Partial exchange method for designing learning games and its application, ICCE2004, pp.257-264, 2004.11\uff5e12<\/li>
    9. Hidenobu KUNICHIKA, Toru MOTOGAMI, Tsukasa HIRASHIMA, Akira TAKEUCHI, Example retrieval of learning functions for supporting authoring of a WBT system, ICCE2004, pp.1627-1633, 2004.11\uff5e12<\/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. \u570b\u8fd1\u79c0\u4fe1, \u672c\u7530\u5b9f, \u5e73\u5d8b\u5b97, \u7af9\u5185\u7ae0, \u82f1\u8a9e\u306e\u9069\u5fdc\u7684\u8cea\u554f\u5fdc\u7b54\u6a5f\u80fd\u306e\u305f\u3081\u306e\u5b9a\u578b\u7684\u89e3\u7b54\u6587\u306b\u5bfe\u3059\u308b\u6b63\u8aa4\u5224\u5b9a\u6cd5\u306e\u8a55\u4fa1, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u7b2c18\u56de\u5168\u56fd\u5927\u4f1a, 3E1-02, 2004.5<\/li>
      2. \u5e73\u5d8b\u5b97, \u5800\u53e3\u77e5\u4e5f, \u8aa4\u308a\u3078\u306e\u6c17\u3065\u304d\u3092\u4fc3\u9032\u3059\u308b\u8aa4\u308a\u306e\u53ef\u8996\u5316\u306b\u95a2\u3059\u308b\u7814\u7a76, \u65e5\u672c\u79d1\u5b66\u6559\u80b2\u5b66\u4f1a \u7b2c28\u56de\u5e74\u4f1a\u8ad6\u6587\u96c6, 2004.8<\/li>
      3. \u6a2a\u5c71\u7422\u90ce, \u5e73\u5d8b\u5b97, \u5ca1\u672c\u771f\u5f66, \u7af9\u5185\u7ae0, \u554f\u984c\u7d71\u5408\u30ec\u30d9\u30eb\u3067\u306e\u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u7b2c29\u56de\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, 2004.8<\/li>
      4. \u6a2a\u5c71\u7422\u90ce, \u5e73\u5d8b\u5b97, \u5ca1\u672c\u771f\u5f66, \u7af9\u5185\u7ae0, \u554f\u984c\u7d71\u5408\u30ec\u30d9\u30eb\u3067\u306e\u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u74b0\u5883\u306e\u6388\u696d\u3067\u306e\u5229\u7528, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u7b2c29\u56de\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, 2004.8<\/li>
      5. \u6885\u6d25\u5b5d\u4fe1, \u5e73\u5d8b\u5b97, \u90e8\u5206\u69cb\u9020\u4ea4\u63db\u6cd5\u3068\u305d\u308c\u3092\u7528\u3044\u305f\u5b66\u7fd2\u30b2\u30fc\u30e0\u306e\u4f5c\u6210, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u7b2c29\u56de\u5168\u56fd\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, 2004.8<\/li>
      6. \u6771\u672c\u5d07\u4ec1, \u5e73\u5d8b\u5b97, \u5800\u53e3\u77e5\u4e5f, \u7af9\u5185\u7ae0, \u4eee\u60f3\u5b9f\u9a13\u74b0\u5883\u306b\u304a\u3051\u308b\u5b66\u7fd2\u8005\u306b\u3088\u308b\u4eee\u8aac\u8a2d\u5b9a\u3068\u4eee\u8aac\u306b\u57fa\u3065\u304f\u5b9f\u9a13\u8a55\u4fa1, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u7b2c41\u56de\u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1a\uff08SIG-ALST\uff09, pp.37-42, 2004.5<\/li>
      7. \u798f\u6c38\u826f\u6d69, \u7af9\u5185\u7ae0, \u5e73\u5d8b\u5b97, \u570b\u8fd1\u79c0\u4fe1, Web-Based Training\u306b\u304a\u3051\u308b\u6559\u6750\u5185\u5bb9\u3078\u306e\u4e0b\u7dda\u5f15\u304d\u6d3b\u52d5\u306e\u5b66\u7fd2\u52b9\u679c, JSiSE Research Report Vol.19 No.3, pp.37-42, 2004.9<\/li>
      8. \u5800\u53e3\u77e5\u4e5f, \u5e73\u5d8b\u5b97, \u793e\u4f1a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3051\u308b\u8aa4\u308a\u306e\u53ef\u8996\u5316, JSiSE Research Report Vol.19 No.3, pp.43-48, 2004.9<\/li>
      9. \u5800\u53e3\u77e5\u4e5f, \u5e73\u5d8b\u5b97, \u30e2\u30c7\u30eb\u30b0\u30e9\u30d5\u306b\u57fa\u3065\u304f\u767a\u5c55\u7684\u77e5\u8b58\u7372\u5f97\u306e\u652f\u63f4\u74b0\u5883, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u7b2c42\u56de\u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1a\uff08SIG-ALST\uff09, pp.7-14, 2004.11<\/li>
      10. \u6885\u6d25\u5b5d\u4fe1, \u5e73\u5d8b\u5b97, \u69cb\u9020\u306e\u4ea4\u63db\u306b\u3088\u308b\u5b66\u7fd2\u30b2\u30fc\u30e0\u4f5c\u6210\u6cd5, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u7b2c42\u56de\u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1a\uff08SIG-ALST\uff09, pp.15-22, 2004.11<\/li><\/ol>\n\n\n\n

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