참고문헌 (46)

1. Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. 

   상세보기

2. Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of social and clinical psychology, 4(3), 359-373. 

   상세보기

3. Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman. New York: NY. 

4. Bong, M., Kim, S., Reeve, J., Lim, H., Li, W., Jiang, Y., & Pack, S. (2012). SMILES (Student Motivation in the Learning Environment Scales): Measurement of Student Motivation in Learning Environment. korea.ac.kr/korean/research/assessment_scales/list.html 

5. Burford, V. N., & Gross, D. D. (2000). Caring on-line: On-line empathy, self-disclosure, emotional expression and nurturing. Paper presented at the Annual Meeting of the National Communication Association. Seattle, WA. 

6. Caprara, G. V., Fida, R., Vecchione, M., Del Bove, G., Vecchio, G. M., Barbaranelli, C., & Bandura, A. (2008). Longitudinal analysis of the role of perceived self-efficacy for self-regulated learning in academic continuance and achievement. Journal of educational psychology, 100(3), 525-534. 

   상세보기

7. Cheong, Y. (2015). A Study on types of self-regulated learning and change in the type over time. Doctoral dissertation, Graduate School of Kyung Hee University. 

8. Cho, J., & Do, H. (2020). Relationships among Teaching Presence, Learning Engagement, and Learners' Satisfaction in K-MOOC. The Journal of Learner-Centered Curriculum and Instruction, 20(15), 551-572. 

   상세보기

9. Choi, S. (2016). A Study on Teaching-learning for Enhancing Computational Thinking Skill in terms of Problem Solving. The Journal of Korean Association of Computer Education, 19(1), 53-62. 

   

10. Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological methods, 1(1), 16. 

    상세보기

11. Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of educational research, 74(1), 59-109. 

    상세보기

12. Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence, and computer conferencing in distance education. American Journal of distance education, 15(1), 7-23. 

    상세보기

13. Garrison, D. R. (2003). Cognitive presence for effective asynchronous online learning: The role of reflective inquiry, self-direction and metacognition. Elements of quality online education: P ractice and direction, 4(1), 47-58. 

14. Handelsman, M. M., Briggs, W. L., Sullivan, N., & Towler, A. (2005). A measure of college student course engagement. The Journal of Educational Research, 98(3), 184-192. 

    상세보기

15. Han, J., & Lee, S. (2019). Investigating Online Learning Types Based on self-regulated learning in Online Software Education: Applying Hierarchical Cluster Analysis. The Journal of Korean Association of Computer Education, 22(5), 51-65. 

16. Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling. 

17. Heeter, C. (1992). Being there: The subjective experience of presence. Presence: Teleoperators & Virtual Environments, 1(2), 262-271. 

    상세보기

18. Jeong, S., Kim, B., Koo, I., & Park, J. (2010). Effects on Scientific Inquiry, Scientific Attitudes, and Scientific Achievements of Experimental Classes for Kinetics Unit using Self-Regulated Learning Strategy. Journal of the Korean Association for Science Education, 30(6), 681-692. 

    원문보기 상세보기

19. Joo, Y., Ha, Y., Yoo, J., & Kim, E. (2010). The Structural Relationship among Teaching Presence, Cognitive Presence, Social Presence, and Learning Outcome in Cyber University. Journal of The Korean Association of Information Education, 14(2), 175-187. 

20. Joo, Y., Kim, N., & Cho, H. (2008). Relationship between Self-Efficacy, Online Task Value and Self-Regulated Learning, and Satisfaction and Achievement in Cyber Education. Journal of Korean Association for Educational Information and Media, 14(3), 115-135. 

21. Junco, R. (2012). In-class multitasking and academic performance. Computers in Human Behavior, 28(6), 2236-2243. 

    상세보기

22. Kang, M., & Lim, K. (2013). Structural Analyses on the Effects of Self-regulated Learning and Learning Motivation on Learner-instructor Interactions and Academic Performance in College Learning Environments with e-Learning Contents. Journal of The Korea Contents Society, 13(11), 1014-1023. 

23. Kim, J., & Kang, M. (2010). Structural Relationship among Teaching Presence, Learning Presence, and Effectiveness of e-Learning in the corporate setting. Asian Journal of Education, 11(2), 29-56. 

24. Kim, M., & Kim, H. (2018). Effectiveness analysis based on computational thinking of a computing course for non-computer majors. The Journal of Korean Association of Computer Education, 21(1), 11-21. 

    

25. Kim, S., & Lim, K. (2017). The Moderating Effects of Perceived Usefulness and Self-Regulated Learning Skills on the Relationship between Participative Motivation and Learning Satisfaction in Online Continuing Education Programs. Journal of Lifelong Learning Society, 13(3), 85-107. 

26. Kim, S., Moon, E., & Park, I. (2015). Investigation on the Relationships among Students' Elearning Readiness, Teaching Presence and Learning Effects in an Online Learning Environment. Journal of Korean Association for Educational Information and Media, 21(4), 687-710. 

27. Kim, S. (2019). Teaching presence strengthening strategy based on correlation analysis between perception of teaching presence and learning satisfaction in online Spanish education. Latin American and Caribbean Studies, 38(3), 69-98. 

28. Korkmaz, O., Cakir, R., & Ozden, M. Y. (2015). Computational thinking levels scale (ctls) adaptation for secondary school level. Gazi. Journal of Education Sciences, 1(2), 143-162. 

29. Lee, J., Yoo, J., & Lee, M. (2018). Predictability of Elementary Students' Self-Regulated Learning, GRIT and Parents Support on Computational Thinking and Learning Satisfaction in Online Software Education. Journal of The Korean Association of Information Education, 22(6), 689-699. 

30. Lee, J., & Yoon, S. (2011). The Effects of Task Value, Perceived Usefulness, and Teaching Presence on Learning Outcomes in Cyber University. Journal of The Korean Association of Information Education, 15(3), 449-458. 

31. Lee, S., & Ann, S. (2020). Analysis of student perception of learning block-type educational programming tools in online learning environment. Journal of The Korean Association of Information Educaton, 24(6), 519-528. 

32. Lim, Y., & Lee, O. (2008). A Study on Relations Among the Learning Participation, Learning Satisfaction and Academic Achievement of Cyber Learners. The Journal of Yeolin Education, 16(2), 177-200. 

33. Newmann, F. M. (Ed.). (1992). Student engagement and achievement in American secondary schools. New York: Teacher College Press Columbia University. 

34. Marks, H. M. (2000). Student engagement in instructional activity: Patterns in the elementary, middle, and high school years. American educational research journal, 37(1), 153-184. 

    상세보기

35. Ministry of Education, Korea (2015). Software Education Instructional Guidance. 

36. Mosholder, R. S. (2007). Evaluating engagement with, and determining the direct effects of, a curriculum teaching students learning and motivation strategies. Doctoral dissertation, The Ohio State University. 

37. Oh, M., & Kim, M. (2018). Analysis of Effects of Scratch Programing Education to Improve Computational Thinking. Journal of Korean Association for Educational Information and Media, 24(2), 255-275. 

38. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational psychology review, 16(4), 385-407. 

    상세보기

39. Robinson, P. E., & Caroll, J. (2017). An online learning platform for teaching, learning, and assessment of programming. 2017 IEEE Global Engineering Education Conference (EDUCON), 547-556. 

40. Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year. Journal of educational psychology, 85(4), 571-581. 

    상세보기

41. Spanjers, D. M. (2007). Cognitive engagement as a predictor of achievement. University of Minnesota. 

42. Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191-204. 

    상세보기

43. Surya, E., Syahputra, E., & Jumiati, N. (2018). Effect of Problem Based Learning Toward Mathematical Communication Ability and Self-Regulated Learning. Journal of Education and P ractice, 9(6), 14-23. 

44. Swan, K., Shea, P., Richardson, J., Ice, P., Garrison, D. R., Cleveland-Innes, M., & Arbaugh, J. B. (2008). Validating a measurement tool of presence in online communities of inquiry. E-mentor, 2(24), 1-12. 

45. Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. 

    상세보기

46. Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner(Eds.), Handbook of self-regulation (pp. 13-39). San Diego, CA: Academic Press. 

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