Roseman, I. J., & Smith, C. A. (2001). Appraisal theory: Overview, assumptions, varieties, controversies. In K. R. Scherer, A. Schorr, & T. Johnstone (Eds.), Appraisal processes in emotion: Theory, methods, research (pp. 3–19). New York: Oxford University Press
Partnership for 21st century skills. (2009). P21 Framework Definitions. Available from http://www.p21.org/
Papert, S., & Harel, I. (1991). Situating Constructionism. In Papert, S., Harel, I. (Eds.), Constructionism. Ablex Publishing Corporation, Norwood.
Papert, S. (1980). Mindstorms - Children, Computers, and Powerful Ideas. Basic Books, Inc., New York.
Oatley, K., Keltner, D., & Jenkins, J. M. (2006). Understanding emotions . Blackwell publishing.
OECD(2003). Definition and selection of competencies: Theoretical and conceptual foundations
O'Sullivan, D., & Igoe, T. (2004). Physical computing: sensing and controlling the physical world with computers. Course Technology Press.
Nunez, R. E., Edwards, L. D., & Matos, 1. F. (1999). Embodied cognition as grounding for situatedness and context in mathematics education. Educational Studies in Mathematics, 39, 45-65.
Nathan, M.J., R. Srisurichan, C. Walkington, M. Wolfgram, C. Williams, and M.W. Alibali. (2013). Cohesion as a mechanism of STEM integration. Journal of Engineering Education, 102(1), 1–216. (Special issue on representation in engineering education.)
Monson, C. (2007). Studio school: Propose, critique, iterate. Retrieved March 30, 2007, from the Mississippi State University, College of Education Web s i t e : h t t p : / / ww w. e d u c .ms s t a t e . e d u / s t u d i o s c h o o l . h tm( n owa t http://www.studioschool.org)
Millis, K. (2001). Making meaning brings pleasure: the influence of titles on aesthetic experiences. Emotion, 1(3), 320-329.
Meerbaum-Salant, O., Armoni, M., & Ben-Ari, M. (2013). Learning computer science concepts with Scratch. Computer Science Education, 23(3), 239- 264.
McKinsey & Company. (2004). Using Logic models to bring together planning, evaluation, and action: Logic model development guide. Battle Creek, MI: W. K. KelloggFoundation.
McDaniel, M. A., Waddill, P. J., Finstad, K., & Bourg, T. (2000). The effects of text-based interest on attention and recall. Journal of Educational Psychology, 92(3), 492-502.
Mayer, J. D., & Gaschke, Y. N. (1988). The experience and meta-experience of mood. Journal of personality and social psychology, 55(1), 102-111.
Lye, S. Y., & Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K-12?. Computers in Human Behavior, 41, 51-61.
Latour, B. (1999). Pandora’s hope. Essays on the reality of science studies. Cambridge, MA:Harvard University Press.
Lackney, J. (1999). A history of the studio-based learning model. Retrieved http://www.edi.msstate.edu/work/pdf/history_studio_based_learning.pdf
Krapp, A. (1999). Interest, motivation and learning: An educational-psychological perspective. European journal of psychology of education, 14(1), 23-40.
Krapp A., Hidi, S., & Renninger, K.A. (1992). Interest, learning, and development. In K.A. Renninger, S. Hidi, & Krapp, A (Eds.), The role of interest in learning and development. (3-25). Hillsdale, NJ: Lawrence Erlbaum.
Kozma, R., E. Chin, J. Russell, and N. Marx. (2000). The role of representations and tools in the chemistry laboratory and their implications for chemistry learning. Journal of the Learning Sciences 9(3), 105–144.
Koulouri, T., Lauria, S., & Macredie, R. D. (2015). Teaching introductory programming: a quantitative evaluation of different approaches. ACM Transactions on Computing Education (TOCE), 14(4), 26.
Kosslyn, S . M. (2005). Mental images and the brain. Cognitive Neuropsychology, 22(3/4),333-347.
Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of instructional development, 10(3), 2-10.
Kelleher, C., & Pausch, R. (2005). Lowering the barriers to programming: A taxonomy of programming environments and languages for novice programmers. ACM Computing Surveys (CSUR), 37(2), 83-137.
Kaminski, J.A., V.M. Sloutsky, and A. Heckler. (2009). Transfer of mathematical knowledge: The portability of generic instantiations. Child Development Perspectives, 3(3), 151–155.
Kaminiski, J. A., Sloutsky, V. M., Heckler, A. F., Sun, R., & Miyake, N. (2006). Effects of concreteness on representation: An explanation for differential transfer. In Proceedings of the XXVIII Annual Conference of the Cognitive Science Society, 1581-1586.
Kahneman, D. (2003). A perspective on judgement and choice. American Psychologist, 58(9), 697-720.
Kafai, Y. B., & Burke, Q. (2013). Computer Programming Goes Back to School. Phi Delta Kappan, 95(1), 61-65.
K ller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32(5), 448-470.
Honey, M., Pearson, G., & Schweingruber, H. (Eds.). (2014). STEM Integration in K-12 Education: Status, Prospects, and an Agenda for Research. National Academies Press.
Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn?. Educational psychology review, 16(3), 235-266.
Hidi, S., & Anderson, V. (1992). Situational interest and its impact on reading and expository writing. The role of interest in learning and development, 215-238.
Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review of Educational research, 60(4), 549-571.
Hergenhahn, B. R., & Olson, M. H. (2001). An introduction to theories oflearning (6th ed.). Upper Saddle River, NJ: MerrilllPrentice Hall.
Hepper, P. P., & Petersen, C. H. (1982). The development and implications of a personal problem-solving inventory. Journal of Counseling Psychology, 29(1), 66-75.
Hekkert, P., & van Wieringen, P. C. (1996). The impact of level of expertise on the evaluation of original and altered versions of post-impressionistic paintings. Acta psychologica, 94(2), 117-131.
Hauk, O., Johnsrude, 1., & Pulvermi.iller, F. (2004). Somatotopic representation of action words in human motor and premotor cortex. Neuron, 41(2), 30 1-307.
Grover, S., & Pea, R. (2013). Computational Thinking in K–12 A Review of the State of the Field. Educational Researcher, 42(1), 38-43.
Green, L. N., & Bonollo, E. (2003). Studio-based teaching: history and advantages in the teaching of design. World Transactions on Eng. and Tech. Edu, 2(2), 269-272.
Goldstone, R. L., and J. . Son. (2005). The transfer of scientific principles using concrete and idealized simulations. Journal of the Learning Sciences 14(1), 69–110.
Goldstone, R . L., Landy, D. H., & Son, J. Y. (2009). The education of perception. Topics in Cognitive Science, 2(2), 265-284.
Gick, M. L., & Holyoak, K. J. (1983). Schema induction and analogical transfer. Cognitive psychology, 15(1), 1-38.
Gallese, v., & Lakoff, G. (2005). The brain's concepts: The role of the sensory-motor system in conceptual knowledge. Cognitive Neuropsychology, 22(3-4), 455-479.
Frances, R. (1976). Comparative effects of six collative variables on interest and preference in adults of different educational levels. Journal of Personality and Social Psychology, 33(1), 62-79.
Forte, A., & Guzdial, M. (2005). Motivation and nonmajors in computer science: identifying discrete audiences for introductory courses. Education, IEEE Transactions on, 48(2), 248-253.
Fischbein, E. (1987). Intuition in science and mathematics. Dordrecht, Holland: D. Reidel.
Estey, A., Long, J., Gooch, B., & Gooch, A. A. (2010). Investigating studio-based learning in a course on game design. In Proceedings of the Fifth International Conference on the Foundations of Digital Games (pp. 64–71). Monterey, CA: ACM.
Entwistle, N. (1988). Motivational factors in students’ approaches to learning. In Learning strategies and learning styles (pp. 21-51). Springer US.
Ekman, P. (1992). An argument for basic emotions. Cognition & emotion, 6(3-4), 169-200.
Eisenman, R. (1966). Pleasing and interesting visual complexity: Support for Berlyne. Perceptual and motor skills, 23(3), 1167-1170.
Eggen, P., & Schellenberg, S. (2010). Human memory and the new science of learning. In New Science of Learning (pp. 79-107). Springer New York.
Ebbinghaus, H. (1885). Memory: A contribution to experimental psychology. New York Teachers College, Columbia University
Dubois, D. D. (1993). Competency-Based Performance Improvement: A Strategy for Organizational Change. HRD Press, Inc., 22 Amherst Road, Amherst, MA 01002.
Dreyfus, H. L., & Dreyfus, S. E. (1999). The challenge of Merleau-Ponty's phenomenology of embodiment for cognitive science. In G. Weiss & H. F. Haber (Eds.), Perspectives on embodiment: The intersections of nature and culture (pp. 103-120). New York: Routledg
Docherty, M., Sutton, P., Brereton, M., Kaplan, S., & Brown, A. (2000). The information environments program: A new design based IT degree. SIGCSE Bulletin, 33(1), 233–237. doi:http://doi.acm.org/10.1145/359369.359379
Dewey, J. (1958). Experience and nature (Vol. 1). Courier Corporation.
Dewey, J. (1913). Interest and effort in education. Boston: Riverside.
Cuff, D. (1992). Architecture: The story of practice. Mit Press.
Computational Thinking 능력 향상을 위한 로봇프로그래 밍 교수 학습 모형. 박사학위논문
Cobb, P., Yackel, E., & Wood, T. (1992). A constructivist alternative to the representational view of mind in mathematics education. Journal for Research in Mathematics education, 2-33.
Chomsky, N. (1959). A review of BF Skinner's Verbal Behavior. Language, 35(1), 26-58.
Chi, M. T. H., P.J. Feltovich, and R. Glaser. 1981. Categorization and representation of physics problems by experts and novices. Cognitive Science 5(2), 121–152.
Bransford J., T. Hasselbring, B. Barron, S. Kulweicz, J. Littlefield, and L. Goin 1988 Uses of macro-contexts to facilitate mathematical thinking. pp. 125-147 in The Teaching and Assessing of Mathematical Problem Solving, R.I. Charles and E.A. Silver, eds. Hillsdale, NJ: Erlbaum.
Bragg, B. W. E., & Crozier, J. B. (1974). The development with age of verbal and exploratory responses to sound sequences varying in uncertainty level. Studies in the new experimental aesthetics, 91-108.
Berlyne, D. E. (1967). Arousal and reinforcement. In Nebraska symposium on motivation, 15, 1-110
Berlyne, D. E. (1963). Complexity and incongruity variables as determinants of exploratory choice and evaluative ratings. Canadian Journal of Psychology, 17(3), 274-290.
Beck, I. L., McKeown, M. G., Sinatra, G. M., & Loxterman, J. A. (1991). Revising social studies text from a text-processing perspective: Evidence of improved comprehensibility. Reading Research Quarterly, 251-276.
Banzi, M. (2011). Getting Started with Arduino (2nd Edition). O’Reilly Media / Make, Sebastopol, CA.
Bamberger, J., & diSessa, A. A. (2003). Music as embodied mathematics: a study of a mutually informing affinity. International Journal of Computers for Mathematical Learning, 8(2),123-160.
Atkinson, R, & Shiffrin, R (1968). Humanmemory: A proposed system and its control processes. In K; Spence & J. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2). San Diego, CA: Academic Press.
Asher, S. R. (1980). Topic interest and children's reading comprehension. Theoretical issues in reading comprehension, 525-534.
Anderson, R. C. (1982). Allocation of attention during reading. In A. Flammer & W. Kinstsch(Eds.), Dicourse processing (292-305). Amsterdam: North Holland.
Anderson, R. (2005). Cognitive psychology and its implications (6th ed.). New York: Worth.
Aitken, P. P. (1974). Judgments of pleasingness and interestingness as functions of visual complexity. Journal of Experimental Psychology, 103(2), 240-244.
Ainley, M., Hidi, S., & Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of educational psychology, 94(3), 545-561.
Abrahamson, D., & Lindgren, R. (2014). Embodiment and embodied design. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (2nd Edition) (pp. 358-376). Cambridge, UK: Cambridge University Press.
Abrahamson, D. (2009). Embodied design: constructing means for constructing meaning. Educational Studies in Mathematics, 70(1), 27-47.
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지속가능한 흥미 발달을 위한 피지컬 컴퓨팅 활용 프로그래밍 교육 연구 = A study on Programming Education using Physical Computing for Sustainable Interest Development'
의 유사주제(
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