참고문헌 (86)

1. Bae, S.-H. & Kim, H.-S. (2017). The Effect of STEAM Program on the Logical Thinking Ability of Middle School Students. Journal of Korean Society of Earth Science Education, 10(1), 17-25. 

   원문보기 상세보기

2. Baek, S.-G. & Yu, Y.-L. (2008). An Educational Policy Evaluation on the 2009 Secondary School Teacher Appointment Examination. Journal of Educational Evaluation, 21(3), 69-91. 

3. Baek, Y. S., Park, H., Kim, Y., Noh, S. G., Park, J.-Y., Lee, J., Jeong, J.-S., Choi, Y., & Han, H. (2011). STEAM Education in Korea. Journal of Learner-Centered Curriculum and Instruction, 11(4), 149-171. 

4. Baek, Y. S., Park, H., Kim, Y., Noh, S. G., Park, J.-Y., Lee, J., Jeong, J.-S., Choi, Y., & Han, H. (2012). A Study on the Action Plans for STEAM Education. Seoul: Korea Foundation for the Advancement of Science & Creativity. 

5. Blei, D. M. (2012). Probabilistic Topic Models. Communications of the ACM, 55(4), 77-84. 

   상세보기

6. Chandra, Y., Jiang, L. C., & Wang, C. J. (2016). Mining Social Entrepreneurship Strategies using Topic Modeling. PloS one, 11(3), e0151342. 

   상세보기

7. Choi, I. B., Lee, C .H., & Lee, E. K. (2015). Analysis of Academic Achievement Evaluation Issues Using Social Big Data. Korea Institute for Curriculum and Evaluation, Issue Paper ORM 2015-50-10. 

8. Ha, Y. (2010). Policy Ideas, Framing, and Public Discourse: Special Reference to Education Policy. Korean Journal of Public Administration, 48(2), 189-215. 

9. Hale, R. (2005). Text Mining: Getting More Value from Literature Resources. Drug Discovery Today, 10(6), 377-379. 

   상세보기

10. Han, H., Joo, H., Lee, H., & Lee, J. (2016). The Effects of Mathematics-Centered STEAM Program on High School Girls' Affective Characteristics of Mathematics and Creative Thinking. Journal of Learner-Centered Curriculum and Instruction, 16(5), 97-122. 

11. Han, S.-K. (2015). Doing Social Sciences in the Age of Big Data: Rethinking Analytical Strategy in the Changing Data Environment, Korean Journal of Sociology, 49(2), 161-192. 

    

12. Hong, S-w (2018). A Study on Establishment of Creative Interdisciplinary Major and Development of Curriculum in Preparation of the 4th Industrial Revolution. A Treatise on The Plastic Media, 21(4), 168-176. 

13. Hwang, H.-S., Sohn, S-H.., & Jang, Y.-J. (2012). Exploring the Way of News Reporting and Covering on the Education Issues: Perceptions of News Reporters. The Journal of Social Science, 19(1), 247-277. 

14. Hwang, M. (2014). Spatiotemporal Analysis of Unstructured Big Data for Public Opinion Monitoring, Anyang: Korea Research Institute for Human Settlements. 

15. Hyun, E. R. (2015). The Effects of STEAM Program Utilizing New Media Design on the Learning Attitude of Middle School Students to Scientific Technology. Journal of the Korean Society of Design Culture, 21(4), 671-683. 

16. Jacobi, C., Van Atteveldt, W., & Welbers, K. (2016). Quantitative Analysis of Large Amounts of Journalistic Texts Using Topic Modelling. Digital Journalism, 4(1), 89-106. 

    

17. Jang, S. B. (2016). The Relationship between National Curriculum Deliberation, Policy Framing, and Media: A Case Study of the 2015 National Mathematics Curriculum Reform. The Journal of Curriculum Studies, 34(1), 29-49. 

18. Jeon, J. & Lee, H. (2015). The Development and Application of STEAM Education Program based on Systems Thinking for High School Students. Journal of the Korean Association for Science Education, 35(6), 1007-1018. 

    원문보기 상세보기

19. Jeong, D., Kim, J., Kim, G.-n., Heo, J.-U., On, B.-W., & Kang, M. (2013). A Proposal of a Keyword Extraction System for Detecting Social Issues. Journal of Intelligence and Information Systems, 19(3), 1-23. 

    원문보기 상세보기

20. Jusoh, S., & Alfawareh, H. M. (2012). Techniques, Applications, and Challenging Issue in Text Mining. International Journal of Computer Science Issues, 9(6), 431. 

21. Kam, M. & Song, M. (2012). A Study on Differences of Contents and Tones of Arguments among Newspapers Using Text Mining Analysis. Journal of Intelligence and Information Systems, 18(3), 53-77. 

    원문보기 상세보기

22. Kang, J. (2015). Use of Big Data in Government Performance Evaluation. Seoul: The Korea Institute of Public Administration. 

23. Kang, C., & Kang, K. (2016). The Effects of Problem Solving Activities of STEAM Program on Middle School Students' Metacognition. Journal of Science Education, 40(1), 17-30. 

    원문보기 상세보기

24. Karl, A., Wisnowski, J., & Rushing, W. H. (2015). A Practical Guide to Text Mining with Topic Extraction. Wiley Interdisciplinary Reviews: Computational Statistics, 7(5), 326-340. 

    상세보기

25. Kim, H.-J., Shim, H.-Y., & Cho, S.-H. (2016). A Study on the Development of STEAM Prog ram with Primary School Fine Arts Curriculum as the Center. Journal of Product Research, 34(1), 43-52. 

    상세보기

26. Kim, G.-D. & Park, G.-S. (2018). Educational Strategy for Practical Convergence using Module Curriculum in University. Journal of the Korea Convergence Society, 9(7), 205-211. 

    원문보기 상세보기

27. Kim, J.-S. (2012). Big Data Utilization and Related Technique and Technology Analysis. The Korea Contents Association Review, 10(1), 34-40. 

    원문보기 상세보기

28. Kim, J. E. (2017). Keyword and Topic Analysis on the College and University Structural Reform Evaluation Using Big Data. Ph. D. thesis, Seoul National University. 

29. Kim, J. H. (2018). Legal Education in the Undergraduate School after the Aabolition of Department of Law. Journal of Law-Related Education, 13(3), 79-106. 

    상세보기

30. Kim, J. & Baek, S. (2016). Analysis of Issues on the College and University Structural Reform Evaluation Using Text Big Data Analytics. Asian Journal of Education, 7(3), 409-436. 

31. Kim, J.-Y., Kim, H.-J., Kim, Y.-M., & Kim, K.-S. (2013). The Development of STEAM Education Program of Electromechanical Technology Unit at Middle School. Journal of Korean Practical Arts Education, 19(2), 267-288. 

32. Kim, L.-H. & Lee, B.-S. (2005). Development of Introductory Engineering Design Course to Improve Creative Thinking Ability. Journal of Engineering Education Research, 8(3), 26-35. 

33. Kim, S. H. (2003). A Study on Prerequisite of Educational Policy Evaluation. The Journal the Research Institute of Korean Education, (18), 163-181. 

34. Kim, S.-W., Chung, Y. L., Woo, A., J., & Lee, H. (2012). Development of a Theoretical Model for STEAM Education. Journal of the Korean Association for Science Education, 32(2), 388-403. 

    원문보기 상세보기

35. Kim, Y. s. (2020). A Big Data Analysis on Policy Issues in the Structural Reform Evaluation for Korean Colleges and Universities. Ph. D. thesis, Yeungnam University. 

36. Kim, Y. & Kim, Y. (2016). Social Network Analysis (5th ed.). Seoul: Parkyoungsa. 

37. Kim, Y. R, & Kim, W. T. (2013). Performance Analysis of Design, Non-design Background Students of Masters in Design Program at H-School. Design Convergence Study, 12(4), 307-319. 

    상세보기

38. Kwon, G., Park, J., & Ku, C. (2014). Agenda Development Using Education (Big) Data: Focusing on Social Network Analysis. Korea Education and Research Information Service, Issue Paper KR2014-10. 

39. Kwon, S.-B., Nam, D.-S.,, & Lee, T.-W. (2011). Development of Educational Program for Elementary School Students Using Educational Robot Based on STEAM. Proceedings of the Korean Society of Computer Information Conference, 19(2), 221-224. 

40. Lee, G.-d., Ahn, B.-s., & Lee, C-m.. (2016). A Study on the Development of the Local - related Educational Contents for Cultivating Local Talent. The Journal of Korean Studies, 58, 31-59. 

41. Lee, J., Lee. M., Seo, Y., Kang. B., Oh. J. (2011). Youth (15-45 years old) Science and technology talent Development and Nurturing Comprehensive Strategy Study III: A study on the development of STEAM education in science high schools and gifted schools. Korean Educational Development Institute, Research Report RR2011-11. 

42. Lee, J. S. (2020). A Study on the Research Trends of Convergence Education in Elementary and Secondary Education - Using Semantic Network Analysis and Overlay Map -. Korean Journal of Educational Research, 58(2), 25-50. 

43. Lee, J. & Kwak, H. (2008). A Design of Curriculum Considered Experimental Design & Analysis for Enhancing Engineer's Problem-Solving Ability. Journal of Engineering Education Research, 11(1), 34-47. 

    원문보기 상세보기

44. Lee, J., Mo, J., Kim, H., Shin, j., Yang, S., Son, J., Lee, J., & Kim, J. B. (2017). Perception of the Improvement of Pre-service Teachers' Teaching Competencies through the Practical Training of STEAM Education. School Science Journal, 11(1), 113-128. 

    

45. Lee, J. W., Park, H. J., & Kim, J. B. (2013). Primary Teachers' Perception Analysis on Development and Application of STEAM Education Program. Journal of Korean Elementary Science Education, 32(1), 47-59. 

    원문보기 상세보기

46. Lee, K.-J. & Kim, K.-J. (2013). An Analysis of the Lesson Plans Designed by Teachers of the Elementary STEAM Leader Schools. The Korea Educational Review, 19(2), 281-306. 

47. Lee, K. H. & Lee, K. J. (2013). Twitter Sentiment Analysis for the Recent Trend Extracted from the Newspaper Article. KIPS Transactions on Software and Data Engineering, 2(10), 731-738. 

    원문보기 상세보기

48. Lee, S. (2018). Application and Limitation of Network Analysis Methodology. Seoul: Chungram. 

49. Lee, S., Kim, N., Lee, Y., & Lee, S. (2017). A Meta-analysis of the Effect for Creativity, Creative Problem Solving Abilities in STEAM. Journal of the Korean Association for Science Education, 37(1), 87-101. 

    원문보기 상세보기

50. Lee, Y.-J. & Lee, S.-S. (2011). Measuring the Confidence of Human Disaster Risk Case Based on Text Mining. The Journal of Information Systems, 20(3), 63-79. 

    원문보기 상세보기

51. Lim, H. (2020). Exploration on Elementary Students' Perceptions of Science Learning Engagement Using Keyword Network Analysis. Journal of Korean Elementary Science Education, 39(2), 255-267. 

    원문보기 상세보기

52. Lim, H. & Rhee, J. W. (2011). The Press' Utilization of the Government's Press Releases in Korea. Korean Journal of Journalism & Communication Studies, 55(2), 5-31. 

53. Mahgoub, H., Rosner, D., Ismail, N., & Torkey, F. (2008). A Text Mining Technique Using Association Rules Extraction. International Journal of Computational Intelligence, 4(1), 21-28. 

54. Massey, A. K., Eisenstein, J., Anton, A. I., & Swire, P. P. (2013, July). Automated Text Mining for Requirements Analysis of Policy Documents. In 2013 21st IEEE International Requirements Engineering Conference (RE) (pp. 4-13). IEEE. 

55. Mei, Q., Shen, X., & Zhai, C. (2007, August). Automatic Labeling of Multinomial Topic Models. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 490-499). 

56. Ministry of Education [MOE]. (2017c). Mid and Long Term STEAM Plan. Sejong: Ministry of Education. 

57. Ministry of Education and Science Technology [MEST]. (2010). 2011 Work Report, Seoul: Ministry of Education and Science Technology. 

58. Ministry of Education and Science Technology [MEST]. (2011b). The 2nd National Master Plan for Human Resources in Science & Technology, Seoul: Ministry of Education and Science Technology. 

59. Nahm, C.-H. (2016). An Illustrative Application of Topic Modeling Method to a Farmer's Diary. Cross-Cultural Studies, 22(1), 89-135. 

60. Nam, H.-J. (2013). Design Education Discussion for the STEAM Training. A Journal of Brand Design Association of Korea, 11(1), 165-174. 

    상세보기

61. Oh, C. S. (2015). Issues and Tasks of the Practical Application Ways of Convergence Education in Secondary School. Korean Journal of Educational Research, 53(3), 229-264. 

62. Park, B., & Joo, C. (2012). Education Administration & Education Management. Seoul: Hakjisa. 

63. Park, G.-J. & Choi, Y.-J. (2018). Exploratory Study on the Direction of Software Education for the Non-major Undergraduate Students. Journal of Education & Culture, 24(4), 273-292. 

    상세보기

64. Park, H.-J., Kim, H., & Hong, Y. J. (2017). A Topic Modeling Analysis on the Major Social Issues of the Students' Human Rights Ordinance in Korea. Asian Journal of Education, 18(4), 683-711. 

    상세보기

65. Park, J. W. (2018). Restructuring of Arts Major and Reorganization Process of Convergence Education System. The Korean Journal of Arts Studies, (20), 5-28. 

    상세보기

66. Park, K. M. (2014). Development of Key Competency Factors for Measuring Study Outcomes in Science, Technology, Engineering, Arts, Mathematics (STEAM). The Korean Journal of Technology Education, 14(2), 234-257. 

67. Park, K. (2015). A Research on The Process of The Public Agenda Setting and Policy Decision by The Press and The Application of Cases. The Korea Association for Policy Studies, 24(3), 29-59. 

68. Park, K.-M., Choi, Y.-H., Hong, J.-H., Lee, K.-N., Moon, S.-H., Tae, J.-M., Lee, K.-P., Min, B.-K., & Noh, K. S. (2014). A Validity Study on the Key Competencies Factors of STEAM. The Korean Journal of Technology Education, 14(3), 214-234. 

69. Park, S. T. (2012). An Analysis on Reports of the Press on the Policy Agenda Setting about Half Tuition: focusing on the articles of the Chosun Ilbo, the JoongAng Ilbo, and the Hankyoreh. Korean Public Management Review, 26(3), 235-260. 

    

70. Park, S. (2015). A Topic Analysis of SW Education Textdata Using R. Journal of The Korean Association of Information Education, 19(4), 517-524. 

    원문보기 상세보기

71. Park, S. J. & Kim, Y. T. (2018). Analysis of Newspaper Article Related to Free-Semester Policy: Focusing on Position of Policy and Key words. The Journal of Learner-Centered Curriculum and Instruction, 18(18), 683-707. 

    상세보기

72. Rho, W. (2015). Public Policy Evaluation. Paju: Bobmunsa. 

73. Ryu, C.-S. (2010). The Development of Information Technology and the Prospect of Practical Science Education. Journal of Korean Practical Arts Education, 16(3), 1-14. 

    상세보기

74. Sarkar, D. (2016). Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from Your Data. New York, NY: Apress. 

75. Sim, J., Lee, Y., & Kim, H.-K. (2015). Understanding STEM, STEAM Education, and Addressing the Issues Facing STEAM in the Korean Context. Journal of the Korean Association for Science Education, 35(4), 709-723. 

    원문보기 상세보기

76. Shin, A. (2019). Keyword and Topic Analysis on Free Semester Policy Using Big Data. Ph. D. thesis, Seoul National University. 

77. Shin, Y.-J. & Han, S.-K. (2011). A Study of the Elementary School Teachers' Perception in STEAM (Science, Technology, Engineering, Arts, Mathematics) Education. Journal of Korean Elementary Science Education, 30(4), 514-523. 

    원문보기 상세보기

78. So, I.-H. & Kim, S.-I. (2017). An Experimental Groping for Convergence Education Based on Humanities and Arts -focused on the case of Cheongju University-. Journal of CheongRam Korean Language Education, 61, 7-31. 

    상세보기

79. Son, Y.-J. (2004). The Effects of Media Use on Conservative and Progressive Opinion. Korean Journal of Journalism & Communication Studies, 48(2), 240-266. 

80. Song, J. & Na, J. (2014). Meanings of 'Creativity and Integration' in Science Education and Comments on Science Classroom Culture. Journal of Research in Curriculum Instruction, 18(3), 827-845. 

    상세보기

81. Song, T. M., Song, J., An, J.-Y., & Jin, D. (2013). Multivariate Analysis of Factors for Search on Suicide Using Social Big Data. Korean Journal of Health Education and Promotion, 30(3), 59-73. 

    원문보기 상세보기

82. Tae, J.-M. (2010). Necessity and Application Plan for Culture & Arts Integrated Education for the Gifted. Soonchunhyang Journal of Humanities, 26, 241-273. 

83. Uhm, J.-Y., Jung, W., & Lee, J. (2010). A Study on the Research Trends of Educational Policy Evaluation Studies. Journal of Research in Education, (36), 29-55. 

84. Won, J. Y. & Kim, D. G. (2014). Deduction of Social Risk Issues Using Text Mining. Crisisonomy, 10(7), 33-52. 

85. Yu, Y.-L. (2017). Analysis of media coverage on 2015 revised curriculum policy using Big Data Analysis. Ph. D. thesis, Seoul National University. 

86. Yu, Y.-L. & Baek, S.-K. (2016). Issue Analysis of the Related Mass Media's News Articles on the 2015 Revised National Curriculum Using Automated Text Analysis. The Journal of Curriculum and Evaluation, 19(3), 127-156. 

    상세보기

저자의 다른 논문 :

김성원 (45)