DOI: 10.14704/nq.2018.16.6.1542

Training of Measurement & Control Technology Talents Based on the Concept of Whole Brain Education

Juan Tang, Lihua Li, Wendi Wang


The concept of Whole Brain Education has developed rapidly since it was introduced into China, and has attracted wide attention of many educators. But at the same time, Whole Brain Education is a brand-new concept and introduced to China relatively late, so it needs a longer process to be accepted by the public. On the basis of Whole Brain Education, this study discusses the difference between the results of both left hand and right hand receiving the training of operating the measurement and control instruments and the conventional dominant hand receiving training by a controlled experiment. In the specific operation, the experimental group adopts "left hand and right hand learning related operation simultaneously" and the control group adopts the conventional training method of dominant hand combination. The research shows that the training effect of the left hand and the right hand simultaneously operating the measurement and control instruments based on the concept of Whole Brain Education is better than that of the conventional training based on dominant hand.


Measurement and Control Instrument, Whole Brain Education, Talent Development

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BalaRaju J, Raj MG, Murthy Ch SN. Evaluation of influential measures to control the monetary aspects of load haul dump machine-case study, Mathematical Modelling of Engineering Problems 2017; 4(4): 155-161.

Blakemore SJ. The developing social brain: implications for education. Neuron 2010; 65(6): 744-47.

Boer ALD, Du P, And T, Bothma T. Activating whole brain ® innovation: a means of nourishing multiple intelligence in higher education 2015; 11(2): 55-72.

De Boer A, Steyn T, Toit PHD. A whole brain approach to teaching and learning in higher education. South African Journal of Higher Education 2001; 15(3): 145-72.

Dutta P, Kumar A. Intelligent calibration technique using optimized fuzzy logic controller for ultrasonic flow sensor, Mathematical Modelling of Engineering Problems 2017; 4(2): 91-94.

Fischer KW, Daniel DB, Immordino-Yang MH, Stern E, Battro A, Koizumi H. Why mind, brain, and education? why now?. Mind Brain & Education 2007; 1(1): 1-2.

Glodzik L, Wu WE, Babb JS, Achtnichts L, Amann M, Sollberger M. The whole-brain n-acetylaspartate correlates with education in normal adults. Psychiatry Research 2012; 204(1): 49-54.

Herbert MR, Ziegler DA, Deutsch CK, O'Brien LM, Kennedy DN, Filipek PA. Brain asymmetries in autism and developmental language disorder: a nested whole-brain analysis. Brain 2005; 128(1): 213-26.

Hirsh-Pasek K, Bruer JT. Editorial: the brain/education barrier. Science 2007; 317(5843): 1293.

Ivanova T, Rudzitis J. Traceability and capability control of mass measurement equipment and drift statistical analysis of national mass standards in Latvia. International Journal of Pharmaceutics 2008; 419(1-2): 209-14.

Lee KB, Schneeman RD. Distributed measurement and control based on the IEEE 1451 smart transducer interface standards. IEEE Transactions on Instrumentation & Measurement 2002; 49(3): 621-27.

Li XP. Design on communication interface of embedded intelligent measurement and control equipment based on IPV6. Manufacturing Automation 2007; 29(7): 50-51.

Liu K. Research on improved fingerprint image compression and texture region segmentation algorithm, International Journal Bioautomation 2017; 21(3): 231-40.

Miyagiwa K. Scale economies in education and the brain drain problem. International Economic Review 1991; 32(3): 743-59.

Sysala T, Dostál P. The monitoring and control systems for the real equipment controlled by plc in education. IFAC Proceedings Volumes 2003; 36(10): 225-29.

Vanelli JC, Lindsey TP. Real-time flow modeling and applications in pipeline measurement and control. IEEE Transactions on Industry Applications 2013; IA-18(5): 553-57.

Vatanski N, Georges JP, Aubrun C, Rondeau E, Jämsä-Jounela SL. Networked control with delay measurement and estimation. Control Engineering Practice 2009; 17(2): 231-44.

Zheng WP, Fan JC, Zhang LB, Wen D. Measurement and control system of intense-magnetic memory testing equipment for reusable offshore oil well tubing. Key Engineering Materials 2010; 439-440: 1624-27.

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