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A Delphi Study on the Convergence Program based on Rhizome Thinking and Expression in Engineering


  • Division of Social Welfare, Dongseo University, Korea, Republic of


Background/Objectives: This study aims to identify on the convergence program based on rhizome thinking and expression in engineering. Methods/Statistical Analysis: Delphi survey on a panel of experts was chosen to be the main methodology for this study, drawing the main factors of rhizome thinking and expression in engineering. From September 5 to September 30, 2015, a three-round delphi survey was implemented to collect data. The panels of twenty experts were involved in this survey. For statistical processing, descriptive statistics including frequency, percentage, mean and standard deviation were carried out along with internal reliability test on the survey instrument. Findings: The main findings were as follows. First, premise of rhizome thinking and expression were collaboration as a basic unit for convergence, convergence motive and convergence thinking. The collaboration appeared as a commitment of community projects, building cataloging system for using knowledge, exchanging and sharing of relevant knowledge, maintenance to a horizontal relationship, applying previous knowledge and showing creativity. Second, practice of rhizome thinking and expression was consilience as a lateral value, discovered in uniqueness and commonness of different disciplines. The consilience as a lateral value appeared as a communication using IT techniques, pursuit to unknown possibility in aesthetic, facing complete realities in engineering and science, a common thing between science and arts to an idea and creative thinking, convert ideas to actions in art and engineering. Third, method of rhizome thinking and expression was organic consolidation through a pattern of connection and communication. The organic consolidation appeared as a pursuit to apply a new form of technology, search for new and strange thing and plan for application using technologies, artificial intelligence, algorithm technology, conduct inference and verification repeatedly, analysis of human actions, design user interface, grasp similar products by market analysis. Application/Improvements: This study suggests the educational implications for improving convergence thinking and creative problem-solving for the engineering students.


Convergence, Consilience, Consolidation, Delphi Study, Engineering, Rhizome.

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  • Kim JH. Exploring the possibility of interdisciplinary education for convergence education in knowledge-based society. Korean Journal of Culture and Arts Education Studies. 2012; 7(1):175–200.
  • Park SM. The study of design thinking as foundation of multidisciplinary education. Journal of Fisheries and Marine Sciences Education. 2013; 25(1):270–83.
  • Isaksen SG, Lauer KJ. The climate for creativity and change in teams. Creativity and Innovation Management. 2002; 11(1):74–86.
  • Teal R. Developing a (non linear) practice of design thinking. International Journal of ART and Design Education. 2010; 29(3):294–302.
  • Aboelela S. Defining interdisciplinary research: Conclusions from a critical review of the literature. Health Services Research. 2007; 42(1):329–46.
  • Park SM. A dephi study on the collaboration motive for knowledge fusion engineering. International Journal of Humanities. 2014; 11(1):160–66.
  • Gorman M. Trading zones and interactional expertise: Creating new kinds of collaboration. Cambridge, London: MIT Press; 2010. p. 312.
  • Jeong YK. A study on convergence case in Philosophy and Engineering centered on good engineering. Studies in Philosophy East-West. 2012; 63(1):271–91.
  • Kane SA. Interdisciplinary faculty development seminars a model for learning emerging technologies while developing interdisciplinary partnerships. Journal of Science Education and Technology. 2003; 12(4):421–30.
  • Litzinger T, Zappe S, Hunter S, Mena I. Increasing integration of the creative process across engineering curricula. International Journal of Engineering Education. 2015; 31(1):335–42.
  • Sin DH. Smart convergence and consilience 3.0. Seoul: Sungkyunkwan University Press. Available from:‎
  • Jung BK. Rhizomatous academic identity and consiliencial development perspective of ‘thinking and expression' based on interdisciplinarity. Thinking and Expression. 2010; 3(2):7–30.
  • Ansari WE, Phillip CJ, Hammick M. Collaboration and partnerships: Developing the evidence base. Health and Social Care in the Community. 2001; 9(4):215–27.
  • Bryson JM, Crosby BC, Stone M. The design and implementation of cross-sector collaborations: Propositions from the literature. Public Administration Review. 2006; 66(1):44–55.
  • Custer RL, Claborne DM. Critical skill clusters for vocational education. Journal of Vocational Education Research. 1992; 17(4):34–55.
  • Kotani M. A challenge by mathematics-materials science collaboration. Journal of the surface science society of Japan. 2013; 34(1):3–8.
  • Thomson AM, Perry JL. Collaboration processes: Inside the black box. Public Administration Review. 2006; 66(s1):20–32.
  • Lee JS, Eune JH. Design thinking adaptation for creative emergence in technology industry. Journal of Digital Design. 2009; 9(4):344–52.
  • Carmeli A, Paulus PB. CEO ideational facilitation leadership and team creativity: The mediating role of knowledge sharing. The Journal of Creative Behavior. 2015; 49(1):53–75.
  • Johansson F. The medici effect: Breakthrough insight at the intersection of ideas, concepts, and cultures. Harvard Business School publishing corporation; 2004.
  • Noh SW, Ahn DS. A study on the theoretical-practical changes of present education in view of the academic convergence. Journal of Educational Research. 2012; 10(1):67–88.
  • Kang JH, Choi IS. Effects of creative problem solving program through generating product. Journal of Educational Psychology. 2006; 20(3):379–91.
  • Kaufman SB. Opening up openness to experience: A four-factor model and relations to creative achievement in the arts and sciences. The Journal of Creative Behavior. 2013; 47(4):233–55.
  • Kim YS, Yoon SK, Ahn HY. Consilince of engineering refinements and liberal arts education. Journal of Fisheries and Marine Sciences Education. 2012; 24(2):346–54.
  • Koc kN. Designing e-collaboration technologies to facilitate compensatory adaptation. Information Systems Management. 2008; 25(1):14–9.
  • Lopes DC, Gerolamo MC, Del Prette ZAP, Musetti MA, Del PretteA. Socail; Skills: A key factor for engineering students to develop interpersonal skills. International Journal of Engineering Education. 2015; 31(1):405–13.
  • Park SM. Analysis on the convergence for knowledge fusion in the field of the engineering, science, aesthetics, humanities, and social sciences. Journal of Fisheries and Marine Sciences Education. 2013; 25(5):1031–45.
  • Seung JM, Kim DS. The conceptualization of "O-u-reo-jim" in education: Relationship, thinking systems and inter-discipline. The Journal of Curriculum Studies. 2014; 32(4):1–15.
  • Lee JY, Rhi JM. A comparative study on the meaning of design thinking: in a view of Herbert Simon’s design thinking and IDEO’s design thinking. Proceedings of Korean Society of Design Science. 2010; 10(2):62–3.
  • Robinson-Morral EJ, Reiter-Palmon R, Kaufman JC. The interactive effects of self-perceptions and job requirements on creative problem solving. The Journal of Creative Behavior. 2013; 47(3):200–14.
  • Hu W, Wu B, JiaX, YiX, Duan C, Meyer W, Kaufman JC. Increasing students' scientific creativity. The -Learn to Think- Intervention Program. The Journal of Creative Behavior. 2013; 47(1):3–21.
  • Korres K, Tsami E. Supporting the development of critical thinking skills in secondary education through the use of interdisciplinary ‘statistics and mathematics’ problems. Journal of Interdisciplinary Mathematics. 2010; 13(5):491–507.
  • Yun HC. Concerning the subjective and objective math. Proceedings of the Korea Institute of Psychiatry. 2004; 20(1):47–57.
  • Lee DH. A study on the history of intuition research and its mathematics educational implication. Journal of the Korean School Mathematics. 2008; 11(3):363–76.
  • Kwag EH, Lee EK. Kierkegaard’s subjective knowledge and its implication to moral education. Journal of Moral Education. 2011; 23(1):153–82.


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