Improved Electric Power Training Scheme Based on Memory Curve and Application

  • Ying Wang
  • Bin Huang
  • Yi Yang
  • Yuping Luo
  • Quanchao Zheng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 224)

Abstract

With the rapid development of power industry in recent years, the ability of electricity employees are increasingly high requirements. Hence, how to select qualified electric power personnel and to let them obtain the knowledge to meet the job requirements has become a significant issue in power industry. In order to overcome the weaknesses of traditional training, this paper proposed a training method for new electric power staffs based on the analysis of the memory curve and improved calculation application. Through the development of training programs, organizing a strong memory of learning methods and steps, and creating high-quality questions, the training promotes students to learn the knowledge and skills in a short period. At the same time, through the design of scientific assessment mechanisms and formulas for students, analyzing the overall capacity of the students, the training also improves the quality of personnel selection.

Keywords

Electric power industry Memory curve Assessment system 

References

  1. 1.
    Rongchang L (2008) The application of Ebbinghaus curve in electrical safety incidents analysis and education. Public Electr 8(4):23–29Google Scholar
  2. 2.
    Wei L (2009) Research and thinking on the grid entrepreneurship development. China Electr Power Educ 9(23):90–99Google Scholar
  3. 3.
    Woodson HH, Schweppes FC, Wilson GL (2010) Electric power systems engineering education in a modern curriculum. In: Proceedings IEEE transactions on information technology. Digital Object Identifier vol 59(6), pp 860–868Google Scholar
  4. 4.
    Nelson DJ, Olive DW (2009) A modular approach to electric power education. In: Proceedings IEEE transactions on information technology. Digital Object Identifier vol 41(1), pp 348–350Google Scholar
  5. 5.
    Yanying G, Wei G (2010) Retention strategies of foreign languages skills based on the abrasive regression and forgotten memory. Changchun University Post 10(9), pp 40–49Google Scholar
  6. 6.
    Jiang JJ (2010) Research on mathematics learning process using Ebbinghaus memory curve. Math Teach Res 10(5):34–39Google Scholar
  7. 7.
    Chen H, Tan XM (2009) The investigation of graphics teaching based on the memory curve theory, vol 9(6). Guangdong University of Technology Post, pp 67–69Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ying Wang
    • 1
  • Bin Huang
    • 2
  • Yi Yang
    • 3
  • Yuping Luo
    • 4
  • Quanchao Zheng
    • 5
  1. 1.Guangdong Power Grid Corporation Power Dispatch and Control CentreGuangzhouChina
  2. 2.Guangdong Power Grid CompanyShanTou Power BureauShantouChina
  3. 3.Guangdong Power Grid CompanyFoShan Power BureauFoshanChina
  4. 4.Guangdong Power Grid CompanyHuiZhou Power BureauHuizhouChina
  5. 5.Tellhow Software Co., LtdNanchangChina

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