{"id":83,"date":"2022-07-30T12:08:53","date_gmt":"2022-07-30T03:08:53","guid":{"rendered":"https:\/\/web.learning-engineering.com\/?page_id=83"},"modified":"2022-07-30T12:08:53","modified_gmt":"2022-07-30T03:08:53","slug":"2017%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=83","title":{"rendered":"2017\u5e74\u5ea6\u7814\u7a76\u696d\u7e3e"},"content":{"rendered":"\n

\u25cb\u53d7\u8cde<\/h3>\n\n\n\n
  1. \u5317\u6751\u62d3\u4e5f, \u9577\u8c37 \u6d69\u4e5f, \u524d\u7530\u4e00\u8aa0, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u8ad6\u7406\u306e\u4e09\u89d2\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u4e09\u65b9\u5411\u8ad6\u7406\u7d44\u307f\u7acb\u3066\u6d3b\u52d5\u306e\u8a2d\u8a08\u3068\u6f14\u7fd2\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u30fb\u8a55\u4fa1, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u7814\u7a76\u4f1a\u512a\u79c0\u8cde SIG-ALST-B505-02, \u7b2c78\u56de, 2016\u5e7411\u670812\u65e5<\/li>
  2. \u963f\u90e8\u8aa0\u5927, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u4eee\u8aac\u691c\u8a3c\u5b9f\u9a13\u306b\u304a\u3051\u308b\u5909\u6570\u9593\u69cb\u9020\u8868\u73fe\u3068\u3057\u3066\u306e\u56db\u8c61\u9650\u30e2\u30c7\u30eb\u306e\u63d0\u6848\u3068\u5c0f\u5b66\u6821\u7406\u79d1\u3067\u306e\u5b9f\u8df5\u5229\u7528, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u7b2c42\u56de\u5168\u56fd\u5927\u4f1a \u5927\u4f1a\u5968\u52b1\u8cde\uff08\u53e3\u982d\u767a\u8868\u306e\u90e8\uff09<\/li>
  3. \u672c\u591a\u4fca\u96c4, \u5e73\u5d8b \u5b97, \u6797 \u96c4\u4ecb, \u30ce\u30fc\u30c8\u30c6\u30a4\u30ad\u30f3\u30b0\u3068\u3057\u3066\u306e\u9010\u6b21\u7684\u30ad\u30c3\u30c8\u30d3\u30eb\u30c9\u6982\u5ff5\u30de\u30c3\u30d7\u69cb\u7bc9\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a, \u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u7b2c42\u56de\u5168\u56fd\u5927\u4f1a \u5927\u4f1a\u5968\u52b1\u8cde\uff08\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u767a\u8868\u306e\u90e8\uff09<\/li>
  4. \u5317\u6751\u62d3\u4e5f, \u30ec\u30c3\u30c9\u30cf\u30c3\u30ab\u30bd\u30f3\u5e83\u5cf6 IBM\u8cde<\/li>
  5. \u5317\u6751\u62d3\u4e5f, \u5e83\u5cf6\u5927\u5b66\u7b2c11\u56de\u30c9\u30ea\u30fc\u30e0\u30c1\u30e3\u30ec\u30f3\u30b8\u8cde<\/li>
  6. \u5317\u6751\u62d3\u4e5f, <\/a>HiBiS\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u30d3\u30b8\u30cd\u30b9\u30d5\u30a9\u30fc\u30e9\u30e0 \u4e2d\u56fd\u7dcf\u5408\u901a\u4fe1\u5c40\u9577\u8cde<\/a>\uff08\u6700\u512a\u79c0\u8cde\uff09\/NICT\u8cde\/ ICT\u30d3\u30b8\u30cd\u30b9\u7814\u7a76\u4f1a\u30ad\u30e3\u30f3\u30d1\u30b9\u8cde<\/li>
  7. \u5317\u6751\u62d3\u4e5f, <\/a>\u4e09\u83f1\u7dcf\u7814\u4e3b\u50ac \u30d3\u30b8\u30cd\u30b9\u30a2\u30a4\u30c7\u30a2\u30b3\u30f3\u30c6\u30b9\u30c82017 \u7b2c\u4e8c\u5f3e<\/a> \u4e09\u83f1\u7dcf\u7814\u8cde<\/li>
  8. \u5317\u6751\u62d3\u4e5f, \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 \u6210\u7e3e\u512a\u79c0\u5b66\u751f<\/li>
  9. \u5317\u6751\u62d3\u4e5f, Mash up Award2017 LINE\u8cde<\/li>
  10. \u698e\u672c\u6d69\u7fa9, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u6570\u5f0f\u306e\u69cb\u9020\u64cd\u4f5c\u3068\u3057\u3066\u306e\u5de5\u592b\u8a08\u7b97\u3092\u5bfe\u8c61\u3068\u3057\u305f\u4f5c\u554f\u5b66\u7fd2\u6f14\u7fd2\u306e\u8a2d\u8a08\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a \u512a\u79c0\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u8cde, 2018\u5e743\u6708<\/li>
  11. \u5927\u6bb5\u7531\u8cb4\u5b50, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u5e7e\u4f55\u8a3c\u660e\u8ab2\u984c\u306e\u554f\u984c\u89e3\u6c7a\u904e\u7a0b\u306b\u304a\u3051\u308b\u63a8\u8ad6\u306e\u8aa4\u308a\u306e\u53ef\u8996\u5316, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a \u512a\u79c0\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u8cde, 2018\u5e743\u6708<\/li>
  12. \u9577\u66fd\u4e00\u6a39, \u6797\u96c4\u4ecb, \u5e73\u5cf6\u5b97, Error-Based Simulation\u3067\u306e\u6f14\u7fd2\u4e2d\u306b\u304a\u3051\u308bMIF\u7d20\u6734\u6982\u5ff5\u306e\u691c\u51fa\u6a5f\u80fd\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a \u512a\u79c0\u30dd\u30b9\u30bf\u30fc\u767a\u8868\u8cde, 2018\u5e743\u6708<\/li><\/ol>\n\n\n\n

    <\/a><\/a>\u25cb\u539f\u8457\u8ad6\u6587<\/h3>\n\n\n\n
    1. Ahmad Afif Supianto, Yusuke HAYASHI and Tsukasa HIRASHIMA, <\/a>Model-based analysis of thinking in problem posing as sentence integration focused on violation of the constraints<\/a>, Research and Practice in Technology Enhanced Learning, 12:12, 2017. DOI: 10.1186\/s41039-017-0057-5<\/li>
    2. Ahmad Afif Supianto, Yusuke HAYASHI and Tsukasa HIRASHIMA, \u201cAn Investigation of Learner\u2019s Actions in Posing Arithmetic Word Problem on an Interactive Learning Environment<\/a>,\u201d IEICE Transactions on Information and Systems, E100.D(11), pp. 2725-2728, 2017. DOI: 10.1587\/transinf.2017EDL8044\uff0e<\/li>
    3. Jaruwat PAILAI, Warunya WUNNASRI, Kan YOSHIDA, Yusuke HAYASHI, Tsukasa HIRASHIMA, <\/a>The practical use of Kit-Build concept map on formative assessment<\/a>, Research and Practice in Technology Enhanced Learning, 12;20, 2017. DOI: 10.1186\/s41039-017-0060-x<\/li>
    4. \u5317\u6751 \u62d3\u4e5f, \u9577\u8c37 \u6d69\u4e5f, \u524d\u7530 \u4e00\u8aa0, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u8ad6\u7406\u69cb\u9020\u306e\u7d44\u307f\u7acb\u3066\u6f14\u7fd2\u74b0\u5883\u306e\u8a2d\u8a08\u958b\u767a\u3068\u5b9f\u9a13\u7684\u8a55\u4fa1, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8ad6\u6587\u8a8c, 32(6), p. C-H14_1-12, 2017.12.11<\/li>
    5. Jaruwat PAILAI, Warunya WUNNASRI, Yusuke HAYASHI, Tsukasa HIRASHIMA, <\/a>Kit-Build Concept Map with Confidence Tagging in Practical Uses for Assessing the Understanding of Learners<\/a>, International Journal of Advanced Computer Science and Applications (IJACSA) – Volume 9 No 1 Jan. 2018<\/li>
    6. Pedro Gabriel Fonteles FURTADO, Tsukasa HIRASHIMA, Yusuke HAYASHI, \u201cA Serious Game for Improving Inferencing in the Presence of Foreign Language Unknown Words\u201d International Journal of Advanced Computer Science and Applications(IJACSA), 9(2), 2018 <\/a>http:\/\/dx.doi.org\/10.14569\/IJACSA.2018.090202<\/a><\/li>
    7. <\/li><\/ol>\n\n\n\n

      <\/a><\/a>\u25cb\u56fd\u969b\u4f1a\u8b70<\/h3>\n\n\n\n
      1. Warunya WUNNASRI, Jaruwat PAILAI, Yusuke HAYASHI, Tsukasa HIRASHIMA, Reliability Investigation of Automatic Assessment of Learner-Build Concept Map with Kit-Build Method by Comparing with Manual Methods, Proc. of AIED2017, pp.418-429, 2017<\/li>
      2. Pedro Gabriel Fonteles FURTADO, Tsukasa HIRASHIMA, Yusuke HAYASHI, Transforming foreign language narratives into interactive reading applications designed for comprehensibility and interest, Proc. of AIED2017, pp.510-513, 2017<\/li>
      3. Tsukasa HIRASHIMA, Tomoya SHINOHARA, Atsushi YAMADA, Yusuke HAYASHI, Tomoya HORIGUCHI , Effects of Error-Based Simulation as a Counterexample for Correcting MIF Misconception, Proc. of AIED2017, pp.90-101, 2017<\/li>
      4. Yusuke HAYASHI, Mitsutaka MUROTSU, Sho YAMAMOTO, Tsukasa HIRASHIMA, <\/a>Development and a Practical Use of Monitoring Tool of Understanding of Learners in Class Exercise<\/a>, Proc. of International Conference on Human Interface and the Management of Information, pp. 29-39, 2017<\/li>
      5. Ahmad Afif Supianto, Yusuke HAYASHI, Tsukasa HIRASHIMA, Designing scaffolding system in a problem-posing learning environment, Science in Information Technology (ICSITech), 2017, 546-551<\/li>
      6. Tsukasa HIRASHIMA, Computer-based intelligent support for moderately Ill-structured problems, Science in Information Technology (ICSITech), 2017, 1-6<\/li>
      7. Banni Satria ANDOKO, Yusuke HAYASHI, Tsukasa HIRASHIMA, <\/a>Analysis of the concept mapping style in EFL reading comprehension comparison between kit-build and scratch-build concept mapping from the viewpoint of paragraph structure of text<\/a>, Science in Information Technology (ICSITech), pp. 622-625, 2017<\/li>
      8. Pedro Gabriel Fonteles FURTADO, Tsukasa HIRASHIMA, Yusuke HAYASHI, Development and experimental evaluation of an interactive reading application designed for comprehensibility and interest, Workshop Proc. of ICCE2017<\/li>
      9. Pedro Gabriel Fonteles FURTADO, Tsukasa HIRASHIMA, Yusuke HAYASHI, Kazumasa MAEDAC, Learning Arithmetic Word Problem Structure with a Picture Combination Application in Kindergarten, ICCE2017, 11-20.<\/li>
      10. K KOIKE, T TOMOTO, <\/a>Tsukasa HIRASHIMA<\/a>, Proposal of a Stepwise Support for Structural Understanding in Programming, ICE2017 workshop, 471-481, 2017<\/li>
      11. K KUROKAWA, T TOMOTO, Tomoya HORIGUCHI, Tsukasa HIRASHIMA, A Learning Support System for Mathematics with Visualization of Errors in Symbolic Expression by mapping to Graphical Expression, ICE2017 workshop, 461-470, 2017<\/li>
      12. Sho YAMAMOTO<\/a>, <\/a>Tsukasa HIRASHIMA<\/a>, A Case Study of Learning Environment for Building Structures for Learners with Reading Disabilities Based on Cognitive Load Theory, ICCE2017 workshop, 493-503, 2017<\/li>
      13. Tsukasa HIRASHIMA, Ahmad Afif Supianto, Yusuke HAYASHI, Model-Based Approach for Educational Big Data Analysis of Learners Thinking with Process Data, IWBIS2017, pp.11-16,Indonesia, Jakarta, 2017<\/li><\/ol>\n\n\n\n

        <\/a><\/a>\u25cb\u7814\u7a76\u4f1a\u30fb\u5168\u56fd<\/h3>\n\n\n\n
        1. \u5ca9\u4e95\u5065\u543e, \u6797 \u96c4\u4ecb, \u677e\u672c \u614e\u5e73, \u5e73\u5d8b \u5b97, <\/a>\u7b97\u6570\u6587\u7ae0\u984c\u3092\u5bfe\u8c61\u3068\u3057\u305f\u4f5c\u554f\u30d7\u30ed\u30bb\u30b9\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u306e\u8a2d\u8a08\u30fb\u958b\u767a\u3068\u767a\u6563\u7684\u4f5c\u554f\u8ab2\u984c\u3078\u306e\u5fdc\u7528<\/a>, 1F3-4\uff0c\u7b2c31\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2017<\/li>
        2. \u5317\u6751\u62d3\u4e5f, \u9577\u8c37 \u6d69\u6210, \u524d\u7530 \u4e00\u8aa0, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, <\/a>\u60c5\u5831\u69cb\u9020\u30aa\u30fc\u30d7\u30f3\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u57fa\u3065\u304f\u4e09\u89d2\u30ed\u30b8\u30c3\u30af\u30e2\u30c7\u30eb\u306e\u64cd\u4f5c\u3068\u3057\u3066\u306e\u8ad6\u7406\u6f14\u7fd2\u306e\u8a2d\u8a08\u958b\u767a<\/a>, 1F3-2\uff0c\u7b2c31\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2017<\/li>
        3. \u5e73\u5d8b\u5b97, Computational Thinking \u306e\u5916\u5728\u5316\u3068\u30d7\u30ed\u30bb\u30b9\u30a8\u30d3\u30c7\u30f3\u30b9<\/a>\uff0c1F3-1\uff0c\u7b2c31\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2017<\/li>
        4. \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u5b66\u7fd2\u5bfe\u8c61\u306e\u60c5\u5831\u69cb\u9020\u306b\u57fa\u3065\u304f\u30b7\u30b9\u30c6\u30e0\u30c7\u30b6\u30a4\u30f3\u306b\u304a\u3051\u308b\u64cd\u4f5c\u30c7\u30fc\u30bf\u304b\u3089\u306e\u30e9\u30fc\u30cb\u30f3\u30b0\u30a2\u30ca\u30ea\u30c6\u30a3\u30af\u30b9<\/a>, 1F2-OS-26b-3\uff0c\u7b2c31\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2017.<\/li>
        5. \u5c71\u5143 \u7fd4, \u5e73\u5d8b \u5b97, Kit-Build\u6982\u5ff5\u30de\u30c3\u30d7\u306e\u30e2\u30c7\u30eb\u306e\u7d19\u30d9\u30fc\u30b9\u3067\u306e\u5229\u7528\u3068\u5b66\u7fd2\u7d50\u679c\u306e\u5206\u6790<\/a>, 1F2-OS-26b-1\uff0c\u7b2c31\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2017<\/li>
        6. \u677e\u672c \u614e\u5e73, \u77f3\u4e95 \u5143\u898f, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u5b66\u7fd2\u8005\u306b\u3088\u308b\u601d\u8003\u53ca\u3073\u64cd\u4f5c\u3092\u4e2d\u5fc3\u3068\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u5b66\u7fd2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u3068\u958b\u767a<\/a>, 1F3-3\uff0c\u7b2c31\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2017<\/li>
        7. \u698e\u672c\u6d69\u7fa9, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u5de5\u592b\u8a08\u7b97\u3092\u5bfe\u8c61\u3068\u3057\u305f\u4f5c\u554f\u5b66\u7fd2\u6f14\u7fd2\u306e\u8a2d\u8a08\u958b\u767a\u3068\u5b9f\u8df5\u5229\u7528 \uff0d\u81ea\u5df1\u8aac\u660e\u30bf\u30b9\u30af\u306e\u4f5c\u554f\u30bf\u30b9\u30af\u5316\u306e\u8a66\u307f\uff0d<\/a>, \u7b2c17\u56de\u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a\u4e2d\u56fd\u652f\u90e8\u7814\u7a76\u767a\u8868\u4f1a, 2017<\/li>
        8. \u5317\u6751\u62d3\u4e5f, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97,\u4e09\u89d2\u30ed\u30b8\u30c3\u30af\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u8ad6\u7406\u7684\u601d\u8003\u8ab2\u984c\u306e\u5206\u6790\uff0c\u7b2c42\u56de\u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2017.8.24, <\/a>PDF<\/a><\/li>
        9. \u5ca9\u4e95\u5065\u543e, \u5408\u7530 \u5c06\u6cbb, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97,\u548c\u5dee\u306e\u7b97\u6570\u6587\u7ae0\u984c\u306b\u304a\u3051\u308b\u90e8\u5206\u5168\u4f53\u95a2\u4fc2\u306e\u64cd\u4f5c\u5bfe\u8c61\u5316\u3068\u305d\u306e\u8a55\u4fa1<\/a>, \u7b2c42\u56de\u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2017.8.24<\/li>
        10. \u6d25\u5b88\u5eb8\u5e73, \u5fd7\u6c34\u898f\u7965, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97,\u5358\u7d14\u5316\u65b9\u7565\u7fd2\u5f97\u652f\u63f4\u306e\u305f\u3081\u306e\u81ea\u5df1\u8aac\u660e\u6f14\u7fd2\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u30fb\u958b\u767a\u3068\u5b9f\u9a13\u7684\u5229\u7528<\/a>, \u7b2c42\u56de\u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2017.8.24<\/li>
        11. \u963f\u90e8\u8aa0\u5927, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u4eee\u8aac\u691c\u8a3c\u5b9f\u9a13\u306b\u304a\u3051\u308b\u5909\u6570\u9593\u69cb\u9020\u8868\u73fe\u3068\u3057\u3066\u306e\u56db\u8c61\u9650\u30e2\u30c7\u30eb\u306e\u63d0\u6848\u3068\u5c0f\u5b66\u6821\u7406\u79d1\u3067\u306e\u5b9f\u8df5\u5229\u7528<\/a>, \u7b2c42\u56de\u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2017.8.24<\/li>
        12. \u672c\u591a\u4fca\u96c4, \u5e73\u5d8b \u5b97, \u6797 \u96c4\u4ecb, \u30ce\u30fc\u30c8\u30c6\u30a4\u30ad\u30f3\u30b0\u3068\u3057\u3066\u306e\u9010\u6b21\u7684\u30ad\u30c3\u30c8\u30d3\u30eb\u30c9\u6982\u5ff5\u30de\u30c3\u30d7\u69cb\u7bc9\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a<\/a>, \u7b2c42\u56de\u6559\u80b2\u30b7\u30b9\u30c6\u30e0\u60c5\u5831\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2017.8.24<\/li>
        13. \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u6559\u79d1\u5b66\u7fd2\u306b\u304a\u3051\u308b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u7684\u601d\u8003\u306e\u90e8\u5206\u30bf\u30b9\u30af\u5316\u624b\u6cd5\u306e\u63d0\u6848 \uff5e \u5b66\u7fd2\u5185\u5bb9\u306e\u60c5\u5831\u69cb\u9020\u5316\u3068\u69cb\u9020\u64cd\u4f5c\u30bf\u30b9\u30af\u306e\u8a2d\u8a08 \uff5e<\/a>, \u4fe1\u5b66\u6280\u5831, vol. 117, no. 209, ET2017-33, pp. 11-16 , 2017<\/li>
        14. Warunya WUNNASRI, Jaruwat PAILAI, Yusuke HAYASHI, Tsukasa HIRASHIMA, <\/a>Comparative Investigation on the Reliability of Concept Map Assessment with Kit-Build Method and Manual Methods<\/a>, SIG-ALST 5(03), 6-11, 2017.11.25<\/li>
        15. \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u5b66\u7fd2\u5185\u5bb9\u306e\u60c5\u5831\u69cb\u9020\u5316\u3068\u69cb\u9020\u64cd\u4f5c\u30bf\u30b9\u30af\u306e\u8a2d\u8a08\u306b\u57fa\u3065\u304fModerately-defined\u306a\u554f\u984c\u306b\u3088\u308b\u6559\u79d1\u5b66\u7fd2\u306b\u304a\u3051\u308b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u7684\u601d\u8003\u306e\u90e8\u5206\u30bf\u30b9\u30af\u5316<\/a>, SIG-ALST, B5(03), 12-19, 2017.11.25<\/li>
        16. \u6d25\u5b88\u5eb8\u5e73, \u5fd7\u6c34\u898f\u7965, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u5358\u7d14\u5316\u65b9\u7565\u7fd2\u5f97\u3092\u652f\u63f4\u3059\u308b\u81ea\u5df1\u8aac\u660e\u6f14\u7fd2\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u30fb\u958b\u767a\u3068\u5b9f\u9a13\u7684\u5229\u7528<\/a>, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1aSIG-ALST, B5(03),49-54, 2018.3.13<\/li>
        17. \u5e73\u5d8b\u5b97, \u6797\u96c4\u4ecb, \u30e1\u30bf\u554f\u984c\u8a2d\u8a08\u6cd5\u3068\u3057\u3066\u306e\u30aa\u30fc\u30d7\u30f3\u60c5\u5831\u69cb\u9020\u30a2\u30d7\u30ed\u30fc\u30c1<\/a>, SIG-ALST, B5(03), 55-60, 2018.3<\/li>
        18. \u5b89\u7530\u5065\u6c70, \u6797\u96c4\u4ecb, \u5800\u53e3\u77e5\u4e5f, \u5e73\u5d8b\u5b97, Error-Based Simulation \u306e\u30c7\u30fc\u30bf\u5206\u6790\u306b\u57fa\u3065\u304f\u7d20\u6734\u6982\u5ff5\u4fee\u6b63\u52b9\u679c\u306e\u691c\u8a3c\u3068\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u6a5f\u80fd\u306e\u62e1\u5f35<\/a>, SIG-ALST, B5(03), 85-90, 2018.3<\/li>
        19. \u672c\u7530 \u512a\u4e8c\u6717, \u4e09\u8c37 \u76f4\u88d5, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u6982\u5ff5\u30de\u30c3\u30d7\u306b\u5bfe\u3059\u308b\u95a2\u4fc2\u7684\u7406\u89e3\u306e\u4fc3\u9032\u306e\u305f\u3081\u306e\u8cea\u554f\u4f5c\u6210\u6f14\u7fd2\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        20. \u897f\u672c \u62d3\u771f, \u6d25\u5b88 \u5eb8\u5e73, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u529b\u5b66\u3092\u5bfe\u8c61\u3068\u3057\u305f\u554f\u984c\u5358\u7d14\u5316\u6f14\u7fd2\u306b\u304a\u3051\u308b\u63a2\u7d22\u7684\u6d3b\u52d5\u5206\u6790\u30c4\u30fc\u30eb\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        21. \u9577\u66fd \u4e00\u6a39, \u5b89\u7530\u5065\u592a, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, Error-Based Simulation \u3067\u306e\u6f14\u7fd2\u4e2d\u306b\u304a\u3051\u308bMIF \u7d20\u6734\u6982\u5ff5\u306e\u691c\u51fa\u6a5f\u80fd\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        22. \u5ca9\u4e95 \u4eae\u592a, \u897f\u6751 \u6d69\u4e8c, \u6e21\u9089 \u82f1\u4f38, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u30a4\u30f3\u30b7\u30c7\u30f3\u30c8\u5bfe\u5fdc\u306b\u304a\u3051\u308b\u30ed\u30b0\u5206\u6790\u3068\u305d\u306e\u30ea\u30d5\u30ec\u30af\u30b7\u30e7\u30f3\u3092\u652f\u63f4\u3059\u308b\u5b66\u7fd2\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        23. \u672c\u591a \u5275\u4e00, \u8d64\u5c3e \u512a\u5e0c, \u6d25\u9ad8 \u4e03\u6d77, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u7b97\u6570\u6587\u7ae0\u984c\u306e\u8a00\u8a9e\u30fb\u6570\u5f0f\u30fb\u7a7a\u9593\u8868\u73fe\u306e\u76f8\u4e92\u5909\u63db\u3092\u901a\u3058\u305f\u5272\u5408\u3092\u542b\u3080\u4e57\u9664\u69cb\u9020\u306e\u95a2\u4fc2\u7684\u7406\u89e3\u3092\u4fc3\u9032\u3059\u308b\u6f14\u7fd2\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        24. \u767d\u77f3 \u5927\u7d00, \u5ca9\u4e95\u5065\u543e, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u7b97\u6570\u6587\u7ae0\u984c\u4f5c\u554f\u5b66\u7fd2\u306b\u304a\u3051\u308b\u81ea\u5df1\u514b\u670d\u306b\u5bfe\u3059\u308b\u632f\u308a\u8fd4\u308a\u652f\u63f4\u6a5f\u80fd\u306e\u8a2d\u8a08\u30fb\u958b\u767a\u3068\u8a55\u4fa1, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        25. \u9ad8\u8def\u5730 \u512a, \u5ca9\u4e95\u5065\u543e, \u6797 \u96c4\u4ecb, \u5e73\u5d8b \u5b97, \u4e09\u6587\u69cb\u6210\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u6bb5\u968e\u7684\u306a\u4f5c\u554f\u8ab2\u984c\u7cfb\u5217\u306e\u8a2d\u8a08\u30fb\u958b\u767a\u3068\u5b9f\u8df5, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        26. \u6751\u4e0a\u7460\u9999, \u68ee\u6c38\u7b11\u5b50, \u677e\u672c\u614e\u5e73(\u5e83\u5cf6\u5de5\u696d\u5927\u5b66), \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u30ab\u30fc\u30c9\u64cd\u4f5c\u65b9\u5f0f\u306b\u3088\u308b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u5b66\u7fd2\u30b7\u30b9\u30c6\u30e0\u306e\u5b66\u7fd2\u52b9\u679c\u306e\u5206\u6790, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        27. \u5927\u6bb5 \u7531\u8cb4\u5b50, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u5e7e\u4f55\u8a3c\u660e\u8ab2\u984c\u306e\u554f\u984c\u89e3\u6c7a\u904e\u7a0b\u306b\u304a\u3051\u308b\u63a8\u8ad6\u306e\u8aa4\u308a\u306e\u53ef\u8996\u5316, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        28. \u672c\u591a \u4fca\u96c4, \u4e09\u8c37 \u76f4\u88d5, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u96fb\u5b50\u6559\u6750\u306e\u69cb\u9020\u7684\u6574\u7406\u3092\u6307\u5411\u3057\u305f\u9010\u6b21\u7684\u306a\u6982\u5ff5\u30de\u30c3\u30d7\u69cb\u7bc9\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a\u3068\u5b9f\u9a13\u7684\u5229\u7528, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3.<\/li>
        29. \u53e4\u8cc0 \u4fee\u5e73, \u4e2d\u5ddd\u7422\u4e5f, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u968e\u5c64\u6982\u5ff5\u306e\u7406\u89e3\u3092\u76ee\u7684\u3068\u3057\u305f\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u64cd\u4f5c\u74b0\u5883\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        30. \u7a32\u6751 \u5065\u592a, \u9ad8\u8def\u5730 \u512a, \u6d25\u9ad8 \u4e03\u6d77, \u5ca9\u4e95 \u5065\u543e, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u4f5c\u554f\u5b66\u7fd2\u652f\u63f4\u74b0\u5883\u3092\u7528\u3044\u305f\u6f14\u7fd2\u306b\u304a\u3051\u308b\u5b66\u7fd2\u9032\u6357\u3092\u628a\u63e1\u3059\u308b\u305f\u3081\u306e\u6559\u5e2b\u5411\u3051\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u306e\u8a2d\u8a08\u30fb\u958b\u767a, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        31. \u698e\u672c\u6d69\u7fa9, \u6797\u96c4\u4ecb, \u5e73\u5d8b\u5b97, \u6570\u5f0f\u306e\u69cb\u9020\u64cd\u4f5c\u3068\u3057\u3066\u306e\u5de5\u592b\u8a08\u7b97\u3092\u5bfe\u8c61\u3068\u3057\u305f\u4f5c\u554f\u5b66\u7fd2\u6f14\u7fd2\u306e\u8a2d\u8a08\u958b\u767a<\/a>, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li>
        32. Banni Satria ANDOKO, Yusuke HAYASHI, Tsuksasa HIRASHIMA, Self-Explanation on Reading Comprehension in English as Foreign Language using Kit-Build Concept Map, 2017\u5e74\u5ea6JSiSE\u5b66\u751f\u7814\u7a76\u767a\u8868\u4f1a, 2018.3<\/li><\/ol>\n\n\n\n

          <\/a><\/a>\u25cb\u62db\u5f85\u8b1b\u6f14\uff0f\u4f9d\u983c\u8b1b\u6f14<\/h3>\n\n\n\n