数理解析研究所講究録 第1951巻
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1 Moodle -Learning (Masumi Kameda) Liberal Arts, Tokyo University of Science, Yamaguchi (Mitsuru Udagawa) Office for Information Technology Application, Yamaguchi Prefectual University 1 ( ) e-learning ( ) ( ) PC, -Learning CentOS (Social Networking Service, SNS) Web (Learning Management System, LMS) $Moodle[12]$ e-learning $arrow$learning (e-text), (-Test), (-Report) e-learning 25 -Learning 2 -Learning 3 Learning 4 $arrow$ -Learning 5 $arrow$learning
2 113 2 e-learning e-learning 25 -Learning 4 ( 1). e-learning Linux CentOS (Ver.6) Moodle (Ver.2.3) LMS MySQL (Ver.5.1)[13] 1: Web 2: Web STACK (Ver.3) [14], Maxima (Ver.5) [11], gnuplot[3], AMS-LaTeX[1] -Learning e-learning HTML STACK, Maxima, gnuplot AMS-LaTeX HTML Web JavaScript Web HTML MathJax $[10 $ JavaScript Web Moodle (Quiz) e-test Frontend Moodle 1 Moodle ( ) STACK STACK Maxima Maxima TeX ( 2). ( ) STACK, Maxima gnuplot gnuplot
3 $\bullet$ $\bullet$ $\bullet$ $\bullet$ 114 I Maxima gnuplot TeX -Learning -Test : -Test 3 : -Learning Web TeX ( $)$ : -Test 30 -Test : Maxima :(1) $1/x+2$ $1/(x+2)$, (2) $\sin(x)^{\sim}2$ $\sin(x^{-}2)$, (3) log(%e) cos(%pi). 1 -Learning -Test
4 Learning e-learning 2 -Learning ( 2) -Learning -Test 24 -Test (PC, PC, ) ( ) e-test e-test ( 1) ( 2) ( 9-14). -Test Learning Web 3 Web IP IP LAN 3 50% 109, / (25,307 $)$ ( / ) (12,285 ) ( / )
5 116 3: -Learning ( ) 4 -Learning - 1 -Learning 1( ,307 17,300 ) 1-2 4: 1 -Test 4 1 -Test ( 3.14 / ), % 4 e-test 38 ( 2), 84% 3. $14\sim 5.53$ / / -Test ( 15 ) $94.61$ / 5 e-test 60% $X$ ( $Z$ ) $P(X\geq 60)=P(Z\geq )=0.7422$ 75 % (60 ) ( )
6 Test 1 2 -Test ( ) 1 $\sim$ (InterQuartile Range, IQR) 1 (75%) 100 $2\sim 5$ e-test ( ) 3: 4: 3 1 ( ) 3 -Test 4 -Test ( 1) 4 3 -Test 1 23 ( 5.53 / $)$. ( 2 ) ( 1 $)$ -Learning -Test e-test $(2,2)$ 5 6 ( ) 5: $arrow$test 6: $arrow$ Test
7 118 1 Web 7-8 (0-23 ), $( 4k(=4,000))$, ( - ) Test 23:55 09:00-10: Learning ( ) $1Rnrr-l$ $1^{l}\lambda lr$ rrr9 $ $ { $\infty$ $ 9_{-}^{1\sim 06i^{-}}r_{\theta}v\cdot\infty\blacksquare 1b@i-arrow)$ $7$ : 1 Web 8: 1 Web 5 -Learning $arrow$learning 1 $arrow$learning [4],[7] ( ) (e-learning of The Explicit Knowledge) ( ) ( ) ( ) 2 -Learning [2],[9]. $e-$ Learning (The Gamifications of e-learning)
8 Learning [8]. -Learning 4 -Learning ( ) (Learning Analytics of -Learning). Web -Test -Test ( ) [5],[6] -Learning 24 [1] AMS-LaTeX : AMS-LaTeX, http: $//www$.ams.org/publications/authors/tex/amslatex (accessed ) [2] Adrian GREEVE :Summary of gamification, Proceedings of Moodle Moot Japan 2014, pp. 8-11, 2014 [3] gnuplot : gnuplot homepage, http: $// gnuplot. $info/$ (accessed ) [4] :Moodle, TeX, STACK Proceedings of Moodle Moot Japan 2013, pp.22-27, 2013 [5] : (JUCE), ICT 16 1 pp.36-41, 2013 [6] : -Learning Vol.45, pp , 2014 [7] :Moodle2, TeX, STACK3 Moodle Moot Japan 2014 $id:320$, 2014 [8] : (JSiSE), 39 pp , 2014 [9] : -Learning (JSET), 30 pp , 2014
9 120 [10] MathJax: MathJax, http: $// mathjax.$org/$ (accessed ) [11] Maxima: Maxima, a Computer Algebra System, http: $//$ maxima.sourceforge.$net/$ (accessed ) [12] Moodle: Moodle Open-source learning platform Moodle.org, http: $//$ moodle. $org/$ (accessed ) [13] MySQL :MySQL:: $com/$ ( ) [14] : STACK Moodle 2010 Masumi Kameda Liberal Arts, Tokyo University of Science, Yamaguchi Daigaku-dori, Sanyo-Onoda, Yamaguchi JAPAN E mail address: kameda@ed.tus.ac.jp Mitsuru Udagawa Office for Information Technology Application, Yamaguchi Prefectural University Sakurabatake, Yamaguchi, Yamaguchi JAPAN E mail address: udagawa@offlce.yamaguchi-pu.ac.jp
10 121 $A$ 数学基礎 e-learning の e-test イメージ (再述) -Test の試験概要 (表 1) のもと 各授業科目 (表 2) で提供した出題イメージ を紹介する (図 9-14). なお出題イメージは各授業科目における最終回の -Test で提供 された大問の中から 1 題を選択している 図 9 は基礎数学における常用対数に関する出 題 図 10 は線形代数 1 における転置と行列式に関する出題 図 11 は線形代数 2 におけ る 3 次行列の固有ベクトルに関する出題 図 12 は微分積分学及び演習における不定積 分の部分積分法に関する出題 図 13 は工学数学及び演習における 2 階線形微分方程式 に関する出題 図 14 は機械数学 2 における逆ラプラス変換に関する出題である 図 9: 基礎数学の -Test イメージ 図 11: 線形代数 2 の -Test イメージ 図 13: 工学数学の -Test イメージ 図 10: 線形代数 1 の Test イメージ $arrow$ 図 12: 微分積分学の -Test イメージ 図 14: 機械数学の e-test イメージ
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