Browse > Article
http://dx.doi.org/10.14352/jkaie.2017.21.1.139

A Development and Application of the Teaching and Learning Model of Artificial Intelligence Education for Elementary Students  

Kim, Kapsu (Dept. of Computer Education, Seoul National University of Education)
Park, Youngki (Dept. of Computer Education, Chuncheon National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.21, no.1, 2017 , pp. 139-149 More about this Journal
Abstract
Artificial intelligence education is very important in the 21st century knowledge information society. Even if it is very important to understand artificial intelligence and practice computer programming in computer education in the fourth industrial revolution, but there is no teaching and learning model to understand artificial intelligence and computer programming education. In this paper, the proposed model consists of problem understanding step, data organizing step, artificial intelligence model setting step, programming step, and report writing step. At the program step, students can choose to copy, transform, create, and challenge steps to their level. In this study, the validity of the model was proved by the Delphi evaluation of elementary school teachers. The results of this study provide a good opportunity for elementary school students to practice artificial intelligence programs.
Keywords
Artificial intelligence; artificial neural network; elementary school students; programming education; teaching and learning model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Boekarts, M., Pintrich, P. R., & Zeidner, M. (Eds.), (2000). Handbook of self-regulation. San Diego, CA: Academic.
2 Chris Stephenson and Valerie Barr(2011), Defining Computational Thinking for K-2, The Voice of K-12 Computer Science education and its Educators 2011, 7-2
3 CSTA(2011),K-12 Computer Science Standards
4 Garris, R., Ahlers, R., & Driskell, J. E. (2002). Games, motivation, and learning: A research and practice model. Simulation & Gaming, 33, 441-467.   DOI
5 Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York: Palgrave Macmillan.
6 Gee, J. P. (2005). Learning by design: Good video games as learning machines. E-Learning, 2, 5-16.
7 Harnad, S.(1992),The Turing Test Is Not A Trick:Turing Indistinguishability Is A Scientific Criterion. SIGART Bulletin 3(4).
8 Harnad, S. (2000) Minds, Machines, and Turing: The Indistinguishability of Indistinguishables. Journal of Logic, Language, and Information 9(4): 425-445.   DOI
9 Kim, Kapsu (2010), "A Study on Programming Language Instruction Strategies of Improving the creative and logical thinking for Elementary Students", Journal Of The Korean Association Of Information Education, 14(1), 89-97.
10 Kim,Kapsu(2014). Measuring and Applying the Self-efficacy in Computer Programming Education. Journal Of The Korean Association Of Information Education, 18(1), 111-120.   DOI
11 Kim, Kapsu(2015). A Self-regulated Learning Model Development in Computer Programming Education, Journal of The Korean Association of Information Education Vol. 29(1),21-30.
12 Linstone,H.A and Turoff,M(1975). The Delphi Method: Techniques and Application, London: Addison-wesley.
13 Pressley, M., & Ghatala, E. S. (1990). Self-regulated learning: Monitoring learning from text. Educational Psychologist, 25, 19-34.   DOI
14 Ministry of Education (2015). The revised national curriculum 2015 for Primary and Secondary Schools, Vol.2015-75, No. 10.
15 Nong Ye Gavriel Salvendy (1996). Expert-novice knowledge of computer programming at different levels of abstraction. Ergonomics, 39(3), 461-481.   DOI
16 Pressley, M., & Ghatala, E. S. (1990). Self-regulated learning: Monitoring learning from text. Educational Psychologist, 25, 19-34.   DOI
17 Salomon G & Perkins D. N. (1987). Transfer of cognitive skills from programming: When and how?. Journal of Educational computing Research, 3, 149-169.   DOI
18 Schraw, G. (2007). The use of computer-based environments for understanding and improving selfregulation. Metacognition and Learning, 2, 169-176.   DOI
19 Turing, A. M. (1950) Computing Machinery and Intelligence, Mind 49: 433-460.
20 Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3-17.   DOI
21 Miltiadou, M., & Yu, C. H. (2000). Validation of the Online Technologies Self-Efficacy Scale (OTSES)