데이터 리터러시를 위한 머신러닝 기반 AI 융합 수업 모형 개발

키워드

참고문헌 (46)

1. Kim, S. H., "Analysis of International Educational Trends and Learning Tools for Artificial Intelligence Education", The Journal of Korean Association of Computer Education, 23(2), pp.25~28 (2019)
2. Lin, P., "Engaging Teachers to Co-Design integrated AI Curriculum for K-12 Classrooms", CHI ‘21: PROCEEDINGS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (2021), Assoc Computing Machinery
3. The Government of the Republic of Korea., "Education policy direction and key tasks in the artificial intelligence era", ~ (2020)
4. Ministry of Education, "The 2022 revised curriculum", ~ (2022)
5. Lee, D. Y., "Analysis of changes in AI competency, attitude, and perception through development and application of AI education program", Journal of the Korean Association of Artificial Intelligence Education, 3(3), pp.7~14 (2022)[DOI]
6. Kim, S. M., "The effectiveness of K-means clustering algorithm-based class in elementary social education", Korean Association For Learner-Centered Curriculum And Instruction, 23(5), pp.127~140 (2023)[DOI]
7. Hwang, H. S., "Study on Big Data Utilization in Social Studies Education", Social Studies Education, 55(3), pp.75~89 (2016)
8. Wolff, A, "Data Literacy to Support Human-centred Machine Learning", CHI 2016 (2016)
9. Song, Y. K., "The Data-Driven Debate (DDD) Instructional Model for Improving Data Literacy", Master, pp.2021
10. Cho, Y. S, "Effects of AI Convergence Science Classes on Promoting Middle School Students’ Attitude Towards AI Technology and Data Literacy", Master, pp.2022
11. Jeong, J. H., "A Research on the Design and Application of a Machine Learning Project Class Programs in Artificial Intelligence Education in High School", The Journal of Korean Association of Computer Education, 26(1), pp.203~204 (2022)
12. Olari, V., "Addressing AI and Data Literacy in Teacher Education: A Review of Existing Educational Frameworks", Proceedings of the 16th Workshop in Primary and Secondary Computing Education (WiPSCE '21), pp.1~2 (2021), Association for Computing Machinery
13. Jarrahi, M. H., "The Principles of Data-Centric AI(DCAI)", Communications of the ACM, 66(8), pp.84~92 (2022)[DOI]
14. Strickland, E., "Andrew Ng, AI Minimalist : The Machine-Learning Pioneer Says Small is the New Big", IEEE Spectrum, 59(4), pp.22~50 (2022)[DOI]
15. "Grade Band Progression Charts" (2021)[URL]
16. "Actua’s Artificial Intelligence (AI)Education Handbook" (2022)[URL]
17. Long, D., "What is AI Literacy? Competencies and Design Considerations", Conference on Human Factors in Computing Systems - Proceedings (2020), Assoc Computing Machinery
18. Wolff, A., "Creating an Understanding of Data Literacy for a Data-driven Society", The Journal of Community Informatics, 12(3), pp.9~26 (2016)[DOI]
19. Lee, W. T., "Overcoming Information Disparities in the Era of Big Data through Data Literacy", KISO JOURNAL, 21 (2015)
20. Han, S. W., "A Study about the Concept of Data Literacy based on Digital Humanities", Journal of the Korean Society for Information Management, 35(4), pp.223~236 (2018)[DOI]
21. Bae, H. S., "Educational Implications of Data Literacy in Social Studies", Theory and Research in Citizenship Education, 51(1), pp.95~120 (2019)[DOI]
22. Lee, E. J., "The Effects of AI-based Data Analysis Education on Convergent Thinking Ability and Data Literacy of General High School Students", Master, pp.2022
23. "A Study on Social security Big Data Analysis and Prediction Model based on Machine Learning. (2017-46)" (2017)[URL]
24. Cho, M. H., "A Study on the History, Classification and Development Direction of Artificial Intelligence", Journal of The Korea Institute of Electronic Communication Sciences, 16(2), pp.307~312 (2021)[DOI]
25. Mariescu-Istodor, R., "Machine Learning for High School Students", 19TH KOLI CALLING CONFERENCE ON COMPUTING EDUCATION RESEARCH (KOLI CALLING 2019) (2019), Assoc Computing Machinery
26. Kim, D. Y., "Development and application of PBL-based machine learning education program to improve elementary school students' problem solving skills", Korean Association For Learner-Centered Curriculum And Instruction, 23(6), pp.639~661 (2023)[DOI]
27. Moon, W. J., "Effect of Machine Learning Education Focused on Data Labeling on Computational Thinking of Elementary School Students", Journal of The Korean Association of Information Education, 25(2), pp.327~335 (2021)[DOI]
28. A Study on how to apply AI education to K-12, , Korea Foundation for the advancement of Science & Creativity, ~ (2023)
29. "Artificial Intelligence and EduTech in School Education. (RRI 2020-2)"[URL]
30. Kwon, H. S., "Current Status of the Implementation of Convergence Education in Primary and Secondary Schools", Journal of Science Education, 45(3), pp.336~348 (2021)[DOI]
31. Park, J. Y., "Analysis of Attitude Toward AI According to SW Non-major’s Computational Thinking and AI Experience", The Journal of Korean Association of Computer Education, 26(1), pp.33~41 (2023)[DOI]
32. Leem, J. H., "Main Issues of Software Education and Tasks of Educational Technology for improving Software Education", Journal of Educational Technology, 34(3), pp.679~709 (2018)[DOI]
33. Noh, D. K., "Development and application of artificial intelligence (AI) and high school science integrated education programs based on scientific data", Master, pp.2023
34. Lee, J. H., "Development of Data-driven Teaching Material for AI Convergence Education : Focused on Damped Oscillation", School Science Journal, 15(2), pp.121~134 (2021)
35. Lim, C. I, "Curriculum Design Theories and Models" (2012), KYOYOOKBOOK
36. Mandinach, E. B., "What does it mean for teachers to be data literate : Laying out the skills, knowledge, and dispositions", Teaching and Teacher Education, 60, pp.366~376 (2016)[DOI]
37. Kim, B. C., "Development and Validation of Data Science Education Instructional Model", Journal of The Korean Association of Information Education, 26(5), pp.417~425 (2022)[DOI]
38. Wolff, A., "Exploring design principles for data literacy activities to support children’s inquiries from complex data", International Journal of Human-Computer Studies, 129, pp.41~54 (2019)[DOI]
39. Jonassen, D., "10 Designing Constructivist Learning Environments", Instructional-design theories and models, 11, pp.21~ (1999)
40. Son, M. H., "Development of Data-Driven Science Inquiry Model and Strategy for Cultivating Knowledge-Information-Processing Competency", Journal of the Korean Association for Science Education, 40(6), pp.657~670 (2020)[DOI]
41. Seo, Y. N., "A Developmental study of an Instructional Model for Inquiry of Social Studies Based on Data-driven Artificial Intelligence Convergence Education", Korean Association For Learner-Centered Curriculum And Instruction, 23(12), pp.1~25 (2023)[DOI]
42. Hong, H. W., "Development of the Design Principles of Constructivist Learning Environment for Teaching Pre-Service Teachers in Elementary School Teaching Practices", Dctor, pp.2020
43. Chee, H. K., "A Study on Development of an Instructional Design Principles of Integrating Subject Matter and Software for Creative Problem Solving", Journal of Educational Technology, 38(2), pp.369~407 (2022)[DOI]
44. Lawshe, C. H., "A quantitative approach to content validity", Personnel Psychology, 28(4), pp.563~575 (1975)[DOI]
45. Grant, J. S., "Selection and use of content experts for instrument development", Research in nursing & health, 20(3), pp.269~274 (1997)[DOI]
46. Lynn, M. R., "Determination and quantification of content validity", Nursing research(New York), 35(6), pp.382~386 (1986)[DOI]

관련 논문AI추천