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USING COMPLEXITY THEORY TO CONSTRUCT A DIGITAL LEARNING ENVIRONMENT FACILITATING EXPERIENTIAL LIFE EDUCATION PROGRAMS ON ELEMENTARY SCHOOL TEACHERS AND STUDENTS

Year 2015, Volume: 2 , 132 - 138, 01.09.2015

Abstract

E-learning has become a global trend, however, the entire globe is
facing the problems of social disruption and disorder, overwhelmed with sensual
desire, and filled with distorted sense of ethics and morality, it has a strong
need to guide the younger generation to understand the meaning and purpose of
life through life education.  Therefore,
there is an urgent need to understand how to develop, implement, and promote
experiential life education programs with technology support environment.  Complexity theory has been pervasively
applied in education and management to adapt multiple environmental changes and
multidisciplinary collaboration in recently research.  Evolving from chaos theory, complexity theory
not only keeps the unpredictability and nonlinearity in education models but
also develops mutual-adaptation, co-evolution, dynamic interaction and
self-organization.  Therefore, it is
appropriate to use this theory to construct educational models in complicate
educational areas. The study used complexity theory as the theoretical basis
and utilized a series of high-definition digital TV programs as teaching
materials to develop life experiential education courses model and understand
its effectiveness for elementary school teachers and students. The study was
conducted by observing volunteer classes to understand the design of digital
learning.  One unit of a national popular
TV program, “Let’s Play Stories”, was be utilized as the teaching
materials.  Attitudes and behaviors of
teachers and students during participating, suggestions from teachers, feelings
and learning of students, and interactions were investigated.  Purposive sampling was used to collect five
schools in northern and central Taiwan. 
Qualitative research methodology was the major research approach to
construct the teaching model. The results of the study showed that four themes,
mutual-adaptation, co-evolution, dynamic interaction and self-organization,
could be found in qualitative information from teachers, students and
volunteers.  The study help us to
understand how to establish digital learning model and effectiveness of using
complexity theory to construct a digital learning environment facilitating
experiential life education programs on elementary school teachers and students
in real teaching sites.

References

  • Bergen, D. (Eds.). (2009). Play and Brain development as complementary nonlinear dynamic (Chaotic/Complex) system. Oxford, OH: McGuffey Hall. Brown, J. S., Collins, A., & Duguid, S. (1989). Situated cognition and the culture of learning. Educational Research, 18(1), 32-42. Bloom, J. (2009). Issue of learning and cognition as complex system. Paper presented at the annual meeting of the American Educational Research Association, San Diego. Caulfield, J., & Woods, T. (2013). Experiential learning: Exploring its long-term impact on socially responsible behavior. Journal of the Scholarship of Teaching and Learning, 13(2), 31-48. Chiang, I. T., & Chen, M. L. (2011). Developing a complexity problem-based E-learning model: A longitudinal qualitative case study of a six-year course blog. Paper presented at 6th International conference on E-learning and Games, Edutainment 2011. Taipei, Taiwan. Chiang, I. T., Shih, R. C., Liu, E. Z. F., & Lee, A. J. Y. (2011) Using game-based learning and interactive peer assessment to improve career goals and objectives for college students. Paper presented at 6th International conference on E-learning and Games, Edutainment 2011. Taipei, Taiwan. Bonabeau, E., Dorigo M., & Theraulaz, G. (Eds.). (1999). Swarm intelligence: from natural to artificial systems. New York, NY: Russell Sage Foundation. Eyler, J. (2009). The Power of Experiential Education. Liberal Education, 95(4), 24-31. Finch, F., Peacock, M., Lazdowski, D., & Hwang, M. (2015). Managing emotions: A case study exploring the relationship between experiential learning, emotions, and student performance. The international Journal of Management Education, 13(1), 23-36. Guastello, S. J. (1997). Science evolves: An introduction to nonlinear dynamics, psychology, and life sciences. Nonlinear Dynamics. Psychology, and Life Sciences, 1(1), 1-6. Huang, C. F., Nien, W. P., & Yeh, Y. S. (2015). Learning effectiveness of applying automated music composition software in the high grades of elementary school. Computer & Education, 83, 74-89. Kuo, F. O., Yu, P. T., & Hsiao, W. H. (2015). Develop and evaluate the effects of multimodal presentation system on elementary student learning effectiveness: within classroom English learning activity. Procedia-Social and Behavioral Sciences, 176, 227-235. Njenga, J. K., & Fourie, L. C. H. (2010). The myths about e‐learning in higher education. British Journal of Educational Technology, 41(2), 199-212. Paley, J. (2007). Complex adaptive systems and nursing. Nursing Inquiry, 14(3), 233-242. Patrick, F. (2011). Handbook of Research on Improving Learning and Motivation. Hershey PA, Information Science Reference. Porter, T. B. (2006). Coevolution as a research framework for organizations and the natural environment. Organization & Environment, 19(4), 1-26. Shortill, R. (2011). Outdoor Education Is More than Meets the Eye. Pathways: The Ontario Journal of Outdoor Education, 23(4), 33-35. Stacey, R. (Ed.). (1996). Strategic management and organization dynamics. London, Pitman. Thi. T. L. (2008). Mutual adaptation of international students and academics for the sustainable development of international education. Paper presented at EDU-COM international conference. Khon Kaen, Thailand.
Year 2015, Volume: 2 , 132 - 138, 01.09.2015

Abstract

References

  • Bergen, D. (Eds.). (2009). Play and Brain development as complementary nonlinear dynamic (Chaotic/Complex) system. Oxford, OH: McGuffey Hall. Brown, J. S., Collins, A., & Duguid, S. (1989). Situated cognition and the culture of learning. Educational Research, 18(1), 32-42. Bloom, J. (2009). Issue of learning and cognition as complex system. Paper presented at the annual meeting of the American Educational Research Association, San Diego. Caulfield, J., & Woods, T. (2013). Experiential learning: Exploring its long-term impact on socially responsible behavior. Journal of the Scholarship of Teaching and Learning, 13(2), 31-48. Chiang, I. T., & Chen, M. L. (2011). Developing a complexity problem-based E-learning model: A longitudinal qualitative case study of a six-year course blog. Paper presented at 6th International conference on E-learning and Games, Edutainment 2011. Taipei, Taiwan. Chiang, I. T., Shih, R. C., Liu, E. Z. F., & Lee, A. J. Y. (2011) Using game-based learning and interactive peer assessment to improve career goals and objectives for college students. Paper presented at 6th International conference on E-learning and Games, Edutainment 2011. Taipei, Taiwan. Bonabeau, E., Dorigo M., & Theraulaz, G. (Eds.). (1999). Swarm intelligence: from natural to artificial systems. New York, NY: Russell Sage Foundation. Eyler, J. (2009). The Power of Experiential Education. Liberal Education, 95(4), 24-31. Finch, F., Peacock, M., Lazdowski, D., & Hwang, M. (2015). Managing emotions: A case study exploring the relationship between experiential learning, emotions, and student performance. The international Journal of Management Education, 13(1), 23-36. Guastello, S. J. (1997). Science evolves: An introduction to nonlinear dynamics, psychology, and life sciences. Nonlinear Dynamics. Psychology, and Life Sciences, 1(1), 1-6. Huang, C. F., Nien, W. P., & Yeh, Y. S. (2015). Learning effectiveness of applying automated music composition software in the high grades of elementary school. Computer & Education, 83, 74-89. Kuo, F. O., Yu, P. T., & Hsiao, W. H. (2015). Develop and evaluate the effects of multimodal presentation system on elementary student learning effectiveness: within classroom English learning activity. Procedia-Social and Behavioral Sciences, 176, 227-235. Njenga, J. K., & Fourie, L. C. H. (2010). The myths about e‐learning in higher education. British Journal of Educational Technology, 41(2), 199-212. Paley, J. (2007). Complex adaptive systems and nursing. Nursing Inquiry, 14(3), 233-242. Patrick, F. (2011). Handbook of Research on Improving Learning and Motivation. Hershey PA, Information Science Reference. Porter, T. B. (2006). Coevolution as a research framework for organizations and the natural environment. Organization & Environment, 19(4), 1-26. Shortill, R. (2011). Outdoor Education Is More than Meets the Eye. Pathways: The Ontario Journal of Outdoor Education, 23(4), 33-35. Stacey, R. (Ed.). (1996). Strategic management and organization dynamics. London, Pitman. Thi. T. L. (2008). Mutual adaptation of international students and academics for the sustainable development of international education. Paper presented at EDU-COM international conference. Khon Kaen, Thailand.
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Details

Journal Section Articles
Authors

İ-tsun Chıang This is me

Hsiu-chi Fu This is me

Shang-ti Chen This is me

Hsin-chih Wu This is me

Sheng-hung Tsaı This is me

Mao Lıu This is me

Publication Date September 1, 2015
Published in Issue Year 2015 Volume: 2

Cite

APA Chıang, İ.-t., Fu, H.-c., Chen, S.-t., Wu, H.-c., et al. (2015). USING COMPLEXITY THEORY TO CONSTRUCT A DIGITAL LEARNING ENVIRONMENT FACILITATING EXPERIENTIAL LIFE EDUCATION PROGRAMS ON ELEMENTARY SCHOOL TEACHERS AND STUDENTS. The Eurasia Proceedings of Educational and Social Sciences, 2, 132-138.