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Pulse-Based Analysis on Teaching Quality Evaluation

  • Aijun Zhang
  • Yujia Ge
  • Biwei Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)

Abstract

Teaching evaluation is essentially a kind of value judgments on teaching activities and their effects, but currently the teaching quality assessment is usually mainly carried out through the assessment made by experts or the university itself. Student’s opinion is rarely considered and the evaluation of students has only minor impact, so it can not fully reflect the teaching effects and the final evaluation outcome lacks practical effects. This chapter presents a teaching evaluation method based on pulse information analysis, which takes the learning status of students into consideration to achieve objective and quantitative evaluation on teaching effectiveness. The pulse data of students in the class is measured and recorded to extract pulse parameters, and according to the relationship between learning status and emotion, the emotional model is further established. Through analyzing and processing the pulse characteristics parameters and emotional model, the model can reflect the learning status in real time, which is beneficial to teachers in summarizing teaching experience, identifying problems and improving the teaching effectiveness.

Keywords

Teaching evaluation Pulse parameters Emotion model Cognition 

References

  1. 1.
    Dan-Ling P (2001) General psychology[M]. Beijing Normal University Publishing House, BeijingGoogle Scholar
  2. 2.
    You-zhi W, Ouyang L (2003) Foundation of psychology principle and application [M]. Capital University of Economics and Business Press, BeijingGoogle Scholar
  3. 3.
    Ding D, Zhang W, Shi M (2004) Modern brain science and education[J]. J Shanxi Norm Univ (Nat Sci Ed) 32(9):189–193Google Scholar
  4. 4.
    Dolan RJ (2002) Emotion, cognition, and behavior[J]. Science 8(298):1191–1194CrossRefGoogle Scholar
  5. 5.
    Sui X, Gao S, Wang J (2010) Research progress about the influence of emotion on cognition[J]. J Liaoning Norm Univ (Soc Sci Ed) 33(2):55–58Google Scholar
  6. 6.
    Fredrickosn BL (2001) The role of positive emotions in positive psychology. The broaden-and-build theory of positive emotions. Am Psychol Special Issue 56:218–226Google Scholar
  7. 7.
    Hill EL (2004) Evaluating the theory of executive dysfunction in autism. Dev Rev 24:89–233CrossRefGoogle Scholar
  8. 8.
    Gesine D (2006) How positive affect modulates cognitive control: the costs and benefits of reduced maintenance capabiltity. Brain Cogn 60:11–19CrossRefGoogle Scholar
  9. 9.
    Shan-shan C (2008) An experiment study investigating the modulation of personlity and emotion on connitive flexibility[D]. ShanDong Normal University, JinanGoogle Scholar
  10. 10.
    Wang Y (2008) The effects of positive emotions on task switching[J]. Acta Psychol Sinica 40(4):301–306CrossRefGoogle Scholar
  11. 11.
    Fei Z (2003) Contemporary sphygmology in traditional Chinese medicine [M]. People’s Medical Publishing house, BeijingGoogle Scholar
  12. 12.
    Meng X, Wang Z, Wang L (2007) Emotional model based teaching assistant system [J]. Appl Res Comput 24(4):74–76MathSciNetGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.College of Computer and Information EngineeringZhejiang GongShang UniversityHangzhouChina

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