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Research on Effect Evaluation of Physical Education Teaching Based on Artificial Intelligence Expert Decision Making System

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Lecture Notes in Real-Time Intelligent Systems (RTIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 613))

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Abstract

Teaching Result Evaluation in physical education plays an extremely important role in the link of the teaching of Physical Education. The development is accompanied with the development of evaluation and evaluation of education. The principle, data, mathematical model and human computer interaction model were used in the evaluation of Physical Education teaching according to artificial intelligence expert decision system, and the index system of evaluation of physical education teaching work was constructed, based on this, the sports evaluation and monitoring system with functions of diagnostic evaluation, data statistics and assistant decision making was studied in this paper, then the math model was built by calling a variety of sports teaching information resources and a large number of analytical tools, and the simulation process of decision making and the environment of analysis and execution were provided. The results show that the evaluation results of physical education teaching effect based on artificial intelligence expert decision-making system can provide theoretical basis for decision-making and evaluation of relevant competent departments, which plays a positive role in promoting the reform of physical education and improving the quality of physical education.

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References

  1. Shiavi, R., Brodersen, A., Bourne, J., Pingree, A.: Comparison of instructional modalities for a course introduction to computing in engineering. 1(13), 14–16 (2000)

    Google Scholar 

  2. Mellit, A., Kalogirou, S.A.: MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: review of current status and future perspectives. Energy 70, 1–21 (2014)

    Article  Google Scholar 

  3. Piltan, F., Kamgari, M., Zare, S., et al.: Design novel model reference artificial intelligence based methodology to optimized fuel ratio in IC engine. Int. J. Inf. Eng. Electron. Bus. 5(2), 44–48 (2013)

    Google Scholar 

  4. Piltan, F., Yarmahmoudi, M.H., Mirzaie, M., et al.: Design novel fuzzy robust feedback linearization control with application to robot manipulator. Int. J. Intell. Syst. Appl. 5(5), 1–7 (2013)

    Google Scholar 

  5. Wang, D.: Study on the evaluation of sports value of the colleges and universities students. J. Converg. Inf. Technol. 8(9), 716–718 (2013)

    Google Scholar 

  6. Bravo, C.E., Saputelli, L., Rivas, F., et al.: State of the art of artificial intelligence and predictive analytics in the E&P industry: a technology survey. SPE J. 19(4), 547–563 (2014)

    Article  Google Scholar 

  7. Ericsson, K.A., Hastie, R.: Contemporary approaches to the study of thinleing and problem solving. Think. Probl. Solving. 2, 37–40 (2013)

    Google Scholar 

  8. Páezlogreira, H.D., Zamoramusa, R.: Programación de controladores lógicos (plc) mediante ladder y lenguaje de control estructurado (scl) en matlab. Fac Ing. 24, 109–119 (2015)

    Article  Google Scholar 

  9. Ghadirli H M, Rastgarpour M. An Adaptive and Intelligent Tutor by Expert Systems for Mobile Devices. arXiv preprint arXiv: 1304, 4619-4621 (2013)

    Google Scholar 

  10. Koedinger, K.R., Brunskill, E., Baker, R.S.J., et al.: New potentials for data-driven intelligent tutoring system development and optimization. AI Mag. 34(3), 27–41 (2013)

    Article  Google Scholar 

  11. Alder, H., Michel, B.A., Marx, C., et al.: Computer-based diagnostic expert systems in rheumatology: where do we stand in 2014. Int. J. Rheumatol. 2014, 672–674 (2014)

    Article  Google Scholar 

  12. Luxton, D.D.: Artificial intelligence in psychological practice: current and future applications and implications. Prof. Psychol. Res. Pract. 45(5), 332–335 (2014)

    Article  Google Scholar 

  13. Crespo, R.G., Escobar, R.F., Aguilar, L.J., et al.: Use of ARIMA mathematical analysis to model the implementation of expert system courses by means of free software OpenSim and Sloodle platforms in virtual university campuses. Expert Syst. Appl. 40(18), 7381–7390 (2013)

    Article  Google Scholar 

  14. Piltan, F., ShahryarZadeh, F., Mansoorzadeh, M., et al.: Robust fuzzy PD method with parallel computed fuel ratio estimation applied to automotive engine. Int. J. Intell. Syst. Appl. 5(8), 83–88 (2013)

    Google Scholar 

  15. Raza, M.Q., Khosravi, A.: A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renew. Sustain. Energy Rev. 50, 1352–1372 (2015)

    Article  Google Scholar 

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Correspondence to Ji Wen .

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Wen, J. (2018). Research on Effect Evaluation of Physical Education Teaching Based on Artificial Intelligence Expert Decision Making System. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_31

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  • DOI: https://doi.org/10.1007/978-3-319-60744-3_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60743-6

  • Online ISBN: 978-3-319-60744-3

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