PDF slide teaching materials created using KETCindy

Satoshi Yamashita, Shigeki Kobayashi, Hideyo Makishita, Setsuo Takato

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

KeTCindy, a plugin for the dynamic geometry software Cinderella, enables accurate insertion of beautiful figures into a LaTeX document. KeTCindy can create not only printed teaching materials but also PDF slide teaching materials. As described in this paper, the authors explain the method of producing PDF slide teaching materials using KeTCindy and the usage of these slide materials in mathematics classes. One of the authors performed a fundamental statistics class using a PDF slide teaching material created using KeTCindy. This paper presents results of a questionnaire administered to students of the statistics course and proposes future work for PDF slide teaching materials created using KeTCindy.

元の言語English
ホスト出版物のタイトルComputational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
出版者Springer Verlag
ページ285-300
ページ数16
10407 LNCS
ISBN(印刷物)9783319624006
DOI
出版物ステータスPublished - 2017
イベント17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italy
継続期間: 2017 7 32017 7 6

出版物シリーズ

氏名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10407 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other17th International Conference on Computational Science and Its Applications, ICCSA 2017
Italy
Trieste
期間17/7/317/7/6

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Yamashita, S., Kobayashi, S., Makishita, H., & Takato, S. (2017). PDF slide teaching materials created using KETCindy. : Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017 (巻 10407 LNCS, pp. 285-300). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 10407 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-62401-3_22