[3] PBL [4] C C (1) C C? (2) C C? 2 3 C C 6 23 32 61 #include <stdio.h> int main() { printf(" 2 \n"); int value1; sc

Size: px

Start display at page:

Download "[3] PBL [4] C C (1) C C? (2) C C? 2 3 C C *6 2*3 3*2 6*1 #include <stdio.h> int main() { printf(" 2 \n"); int value1; sc"

こうじとこたに
7 years ago
Views:

1 1,a) 1 Source Code Typing for Learning Programming for Beginners Nakada Toyohisa 1,a) Abstract: In order to learn programming for beginners I propose souce code typing that is a training to type correctly key by tracing displayed source code. I performed an experiment to evaluate the typing system in my programming lecture in my university. From the experiments it is founded that a speed of the typing is influenced to understanding of computer program in some condition. We concluded that there is an association between typing speed and understanding of computer program, but there is not a cause association of them. Keywords: Learning Computer Programming, Keyboard Typing 1. Dehnadi [1] 6% 4% 6% 1 Niigata University of International and Information Studies a) nakada@nuis.ac.jp Problem-Based Learning (PBL)[2] 1 PBL PBL 1

2 [3] PBL [4] C C (1) C C? (2) C C? 2 3 C C *6 2*3 3*2 6*1 #include <stdio.h> int main() { printf(" 2 \n"); int value1; scanf("%d",&value1); int value2; scanf("%d",&value2); printf("\n"); printf(" %d, %lf\n\n", value1+value2,(value1+value2)/2.); printf("%d * %d \n", value1,value2); int p = value1*value2; for(int cnt1=1;cnt1<=9;cnt1++){ for(int cnt2=1;cnt2<=9;cnt2++){ if(cnt1*cnt2==p && cnt1!=value1){ printf(" %d * %d\n",cnt1,cnt2); } } } return ; } #include 3. C 2

3 1 1 C ID C C 1 1 C ( )(max time) ( )(min time) ( )(ave time) (sd) (error) (count) r (r) r1 C (score) C 1 C C r r1 2 3 r 2 r 3 r1 r1 3

4 y = 2E-9x x + 4E E E E E+9 date (UNIX TIME) 2 1: me (s) of the typing (UNIX Time) ( ) 4 35 y = 1E-9x x + 2E E E E E+9 date (UNIX TIME) 3 2: me (s) of the typing (UNIX Time) ( ) C1 C2 C if C1 while for C1 C C * 5% ** 1% C1 C2 C1 C2 C1 4

5 4 C C1+C2 C1 C (max time) ** (min time) ** * (ave time) ** (sd) (error) (count) * * * r r1 4 C1 C2 5% 2 Score of programming lecture Min me of typing (s) 5 C (1% ) Min me of typing (s) 6 C2 Score of programming lecture -.247(5%) Score of programming lecture number of triads 4.172(5%) C1 C2 5 C1 6 C2 5 C1 6. Robins [5] Knowledge Strategy Model Knowledge Strategy Model Knowledge Strategy Model Ali [6] Scaffolding Concept Mapping Constructivism Vihavainen [7] 5

6 [6] Live Coding [8] [9] Live Coding Live Coding 1 Dehnadi [1] 6% Simon [1] Bennedsen [11] Perrenet [12], [13] Bennedsen [14], [15] Omori [16] Thomas [17] 1 Thomas

7 (1) C C? (2) C C? C C?? C?? C1/C2 C C C C [1] S. Dehnadi, R. Bornat: The camel has two humps, Middlesex University Working Paper (26). [2] Donald R. Woods: Problem-Based Learning: Resources to Gain the Most from PBL, Donald R. Woods, ISBN: , (1997). [3] O Kelly, Jackie and Gibson, J. Paul: RoboCode & problem-based learning: a non-prescriptive approach to teaching programming, Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education, ITICSE 6, pp (26). [4],,, : C, (212). [5] A. Robins, J. Rountree, and N. Rountree: Learning and teaching programming: A literature review. Computer Science Education, 13(2): , (23). [6] Ali, S.: Effective Teaching Pedagogies for Undergraduate Computer Science. Mathematics and Computer Education, 39(3), , (25). [7] A. Vihavainen, M. Pakula, and M. Luukkainen: Extreme apprentinceship method in teaching programmers for beginners. SIGCSE, pages 93-98, (211). [8] Paxton, John: Live programming as a lecture technique, J. Comput. Sci. Coll., vol.18 no.2, pp (22). [9] Rubin, Marc J.: The effectiveness of live-coding to teach introductory programming, Proceeding of the 44th ACM technical symposium on Computer science education, SIGCSE 13, pp (213). [1] Simon and Cutts, Quintin and Fincher, Sally and Haden, Patricia and Robins, Anthony and Sutton, Ken and Baker, Bob and Box, Ilona and de Raadt, Michael and Hamer, John and Hamilton, Margaret and Lister, Raymond and Petre, Marian and Tolhurst, Denise and Tutty, Jodi: The ability to articulate strategy as a predictor of programming skill, Proceedings of the 8th Australasian Conference on Computing Education - Volume 52, ACE 6, pp , (26). [11] Bennedsen, J. and Caspersen, M. E., An investigation of potential success factors for an introductory modeldriven programming course, First International Workshop on Computing Education Research, Seattle, WA, USA, pp , (25). [12] Perrenet, J., Groote, J. F., and Kaasenbrood, E., Exploring students understanding of the concept of algorithm: levels of abstraction, 1th Conference on Innovation and Technology in Computer Science Education, Lisbon, Portugal, pp.64-68, (25). [13] Perrenet, J. and Kaasenbrood, E., Levels of abstraction in students understanding of the concept of algorithm: the qualitative perspective, 11th Conference on Innovation and Technology in Computer Science Education, pp , (26). [14] Bennedsen, Jens and Caspersen, Michael E.: Abstraction ability as an indicator of success for learning objectoriented programming?, SIGCSE Bull. vol.38, no.2, pp.39-43, (26). [15] Bennedssen, Jens and Caspersen, Michael E.: Abstraction ability as an indicator of success for learning computing science?, Proceedings of the Fourth international Workshop on Computing Education Research, ICER 8, 7

8 pp , (28). [16] Omori, M., Sugasawara, H. & Yamamoto, J.: Acquisition and Transfer of English as a Second Language through the Constructional Response Matching-to-Sample Procedure for Students with Developmental Disabilities. Psychology, 2, doi: /psych , (211). [17] Thomas, Richard C. and Karahasanovic, Amela and Kennedy, Gregor E.: An investigation into keystroke latency metrics as an indicator of programming performance, Proceedings of the 7th Australasian conference on Computing education - Volume 42, ACE 5, pp , (25). 8

2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( )

2) TA Hercules CAA 5 [6], [7] CAA BOSS [8] 2. C II C. ( 1 ) C. ( 2 ). ( 3 ) 100. ( 4 ) () HTML NFS Hercules ( ) 1,a) 2 4 WC C WC C Grading Student programs for visualizing progress in classroom Naito Hiroshi 1,a) Saito Takashi 2 Abstract: To grade student programs in Computer-Aided Assessment system, we propose