DOI: 10.14704/nq.2017.15.1.993

Mind and Machine: Interdisciplinarity

Daegene Song

Abstract


As the world becomes more sophisticated and socio-economically complex, interdisciplinarity (collaboration among two or more disciplines) has become ever more important. In particular, in the field of education, interdisciplinarity is known to enhance creativity and the capacity of people to work together. However, some drawbacks, such as the lack of solid expertise in one specific discipline, have also been exposed. A simple and efficient way of implementing an interdisciplinary study is reported to be one that combines areas that are computable (i.e., science and engineering) and non-computable (i.e., emotions or abstractions often found in the arts and humanities). This approach has been verified in studies conducted in the last four years on mostly first- and second-year undergraduate students with different majors, with close to 1,000 participants, and has successfully shown to yield diverse mixing between different disciplines, with approximately 300 different outcomes. This particular approach to interdisciplinarity is easy and simple to implement, yields different interconnections among various disciplines, exhibits clear measures of success, and can be done along with expertise training in a traditional field.

Keywords


computable; non-computable; interdisciplinarity

Full Text:

Full Text PDF

References


Bennett CH and Brassard G. Quantum cryptography: public key distribution and coin tossing. Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, Bangalore, India, December, 1984; pp175-179.

Brown RR, Deletic A, Wong THF. How to catalyse collaboration. Nature 2015; 525: 315-317.

Connor AM, Karmokar S, Whittington C. From STEM to STEAM: Strategies for enhancing engineering & technology education. International Journal of Engineering Pedagogies 2015; 5(2): 37-47.

Deutsch, D. Quantum theory, the Church-Turing principle and the universal quantum computer. Proc. Roy. Soc. Lond. A 1985; 400: 97-117.

Dreyfus BW, Sawtelle V, Turpen C, Gouvea J, Redish EF. Students' reasoning about "high-energy bonds" and ATP: A vision of interdisciplinary education. Phys. Rev. ST Phys. Educ. Res. 2014; 10: 010115.

Giddings B, Hopwood B, O'Brien G. Environment, economy and society: fitting them together into sustainable development. Sustainable Development 2002; 10: 187-196.

Goldreich, O. Computational complexity: a conceptual perspective, Cambridge University press, 2008.

Hopwood B, Mellor M, O'Brien G. Sustainable Development: mapping different approaches. Sustainable Development 2005; 13: 38~52.

Johnson PA. Problem-based, cooperative learning in the engineering classroom. Journal of Professional Issues in Engineering Education and Practice 1999; 125: 8-11.

Kerr C and Lloyd C. Pedagogical learnings for management education: Developing creativity and innovation. Journal of Management and Organization 2008; 14: 486-503.

Lattuca LR. Creating Interdisciplinarity: interdisciplinary research and teaching among college and university faculty, TN:Vanderbilt University Press, 2001.

Ledford H. Team science. Nature 2015; 525: 308-311.

Lindsey BA. Student reasoning about electrostatic and gravitational potential energy: An exploratory study with interdisciplinary consequences. Phys. Rev. ST Phys. Educ. Res. 2014; 10: 013101.

McAfee A and Brynjolfsson E. Big data: the management revolution. Harvard Business Review 2012; 10: 59-68.

O'Grady MJ. Practical Problem-Based Learning in Computing Education. ACM Transactions on Computing Education 2012; 12: 1-16.

Rhoten D, Mansilla VB, Chun M, Klein JT. Interdisciplinary Education at Liberal Arts Institutions. New York: Teagle Foundation White Paper, 2006.

Rylance R. Global funders to focus on interdisciplinarity. Nature 2015; 525: 313-315.

Song D. Non-computability of consciousness. NeuroQuantology 2007; 5: 382-391.

Song, D. Big data based STEAM education. IE Magazine 2015; 22: 48-51.

Turing AM. On computable numbers, with an application to the Entscheidungsproblem. Proc. London Math. Soc. 1936; 442: 230-265.

Van Noorden R. Interdisciplinary research by the numbers. Nature 2015; 525: 306-307.

Veldhorst M, Yang CH, Hwang JCC, Huang W, Dehollain JP, Muhonen JT, Simmons S, Laucht A, Hudson FE, Itoh KM, Morello A, Dzurak AS. A two-qubit logic gate in silicon. Nature 2015; 526: 410-414.


Supporting Agencies

This work was supported by the intramural research grant of Chungbuk National University in 2015.



| NeuroScience + QuantumPhysics> NeuroQuantology :: Copyright 2001-2017