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http://dx.doi.org/10.14352/jkaie.2019.23.6.583

AI Education Programs for Deep-Learning Concepts  

Ryu, Miyoung (Dept. of Computer Education, Gyeong-in National University of Education)
Han, SeonKwan (Dept. of Computer Education, Gyeong-in National University of Education)
Publication Information
Journal of The Korean Association of Information Education / v.23, no.6, 2019 , pp. 583-590 More about this Journal
Abstract
The purpose of this study is to develop an educational program for learning deep learning concepts for elementary school students. The model of education program was developed the deep-learning teaching method based on CT element-oriented teaching and learning model. The subject of the developed program is the artificial intelligence image recognition CNN algorithm, and we have developed 9 educational programs. We applied the program over two weeks to sixth graders. Expert validity analysis showed that the minimum CVR value was more than .56. The fitness level of learner level and the level of teacher guidance were less than .80, and the fitness of learning environment and media above .96 was high. The students' satisfaction analysis showed that students gave a positive evaluation of the average of 4.0 or higher on the understanding, benefit, interest, and learning materials of artificial intelligence learning.
Keywords
Artificial Intelligence; Machine Learning; Deep Learning; CNN; SW education;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 M. Y. Choi, T. W. Lee (2019). The status of Artificial Intelligence in education and Prediction of change in roles of teacher and school. The Korean Association of Computer Education, 23(2), 85-88.
2 M. Y. Ryu, S. K. Han (2017), Image of Artificial Intelligence of Elementary Students by using Semantic Differential Scale, Journal of The Korean Association of Information Education, 21(5), 527-535.   DOI
3 M. Y. Ryu, S. K. Han (2018), The Educational Perception on Artificial Intelligence by Elementary School Teachers, Journal of The Korean Association of Information Education, 22(3), 317-324.   DOI
4 S. H.. Kim, S. H. Kim, H. C. Kim (2019). Analysis of International Educational Trends and Learning Tools for Artificial Intelligence Education. The Korean Association of Computer Education, 23(2), 25-28.
5 S. K. Han (2010), Teaching Strategy of Intelligent Systems Course with Unplugged Computing, 2010 Fall Proceeding of Korea Intelligent Information System Society, 1(1), 250-255.
6 S. Popenici, S. Kerr (2017), Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(22), 1-13.   DOI
7 Y. J. Jang. (2019). Development of unplugged education program for elementary school AI classes. Master Thesis. Seoul National University of Education.
8 K. S. Kim., Y. G.. Park. (2017). A Development and Application of the teaching and learning model of Artificial Intelligence Education for Elementary Student. Journal of The Korean Association of Information Education, 21(1), 137-147.   DOI
9 AI4ALL. (2019). Retrieved November 18, 2019. from http://ai-4-all.org.
10 AI for Kids. (2019). Retrieved November, 2019. https://www.aisingapore.org/industryinnovation/ai4k.
11 AI4children. (2019). Retrieved November 18, 2019. from https://www.ai4children.org.
12 Francesc. P,, Miguel. S., Axel. R. & Paula. V. (2019). Artificial intelligence in education: challenges and opportunities for sustainable development. Unesco Report for Education 2030.
13 Borge. N. (2016), White paper - Artificial Intelligence to Improve Education Learning Challenges, International Journal Of Advanced Engineering & Innovative Technology, 2(6), 10-13.   DOI
14 China AI Textbook. (2018). Retrieved November 18, 2019. from https://item.jd.com/12347925.html
15 CSTA(2019). K-12 Guidelines for Artificial Intelligence:What Students Should Know.AI4K12 https://github.com/touretzkyds/ai4k12/wiki/Resource-Directory
16 Holmes. W., Bialik. M. & Fadel. C. (2019), Artificial Intelligence In Education Promises and Implications for Teaching and Learning. The Center for Curriculum Redesign Report.
17 House of Lords. (2018). AI in the UK: ready, willing and able?. Select Committee on Artificial Intelligence.
18 J. S. Kim, N. J. Park.(2019). Development of a board game-based gamification learning model for training on the principles of artificial intelligence learning in elementary courses. Journal of The Korean Association of Information Education, 23(3), 229-235.   DOI
19 J. S. Kim, S. K. Han, S. H. Kim, S. W. Jung, J. M. Yang, E. D. Jang, J. N. Kim (2016), Study on Development of Teaching and Learning Model for Software Education, Korea Education Development Institute & KERIS Research Report CR 2015-35.