The Influences of Emotional Reactions on Learning Gains During a Computerized Self-Assessment Test

  • Yueh-Min HuangEmail author
  • Chin-Fei Huang
  • Ming-Chi Liu
  • Chang-Tzuoh Wu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 260)


This study aims to examine learning gains and emotional reactions by receiving applause during computerized self-assessment testing for elementary school students. The participants were asked to solve mathematics problems in a computer-assisted self-assessment system with or without pre-recorded applause as emotional feedback while EEG measurements were taken. The results of this study provide support for the belief that it is useful to improve students’ learning achievement by using emotional reactions such as applause during computer-assisted self-assessment testing, especially for male students. It is suggested that teachers may create such a positive emotional self-assessment learning environment as encourage students to learn by themselves more efficiently.


Applause EEG Emotion Computer-assisted self-assessment 


  1. 1.
    Caraway K, Tucker CM, Reinke WM, Hall C (2003) Self-efficacy, goal orientation, and fear of failure as predictors of school engagement in high school students. Psychol Schools 40(4):417–427CrossRefGoogle Scholar
  2. 2.
    Moridis CN, Economides AA (2012) Applause as an achievement-based reward during a computerised self-assessment test. Br J Educ Technol 43(3):489–504CrossRefGoogle Scholar
  3. 3.
    Kulik JA, Kulik CLC, Bangert RL (1984) Effects of practice on aptitude and achievement-test scores. Am Educ Res J 21(2):435–447CrossRefGoogle Scholar
  4. 4.
    Ricketts C, Wilks SJ (2002) Improving student performance through computer-based assessment: insights from recent research. Assess Eval High Educ 27(5):475–479CrossRefGoogle Scholar
  5. 5.
    Terzis V, Economides AA (2011) The acceptance and use of computer based assessment. Comput Educ 56(4):1032–1044CrossRefGoogle Scholar
  6. 6.
    Moridis CN, Economides AA (2008) Toward computer-aided affective learning systems: a literature review. J Educ Comput Res 39(4):313–337CrossRefGoogle Scholar
  7. 7.
    Sung YT, Chang KE, Chiou SK, Hou HT (2005) The design and application of a web-based self- and peer-assessment system. Comput Educ 45(2):187–202CrossRefGoogle Scholar
  8. 8.
    Spielberger CD (2005) State-trait anxiety inventory for adults. Mind Garden, Redwood CityGoogle Scholar
  9. 9.
    Coles MGH, Rugg MD (1995) Event-related brain potentials: an introduction. In: Rugg MD, Coles MGH (eds) Electrophysiology of mind: event-related brain potentials and cognition. Oxford University Press, New York, pp 1–26Google Scholar
  10. 10.
    Ho MC, Chou CY, Huang CF, Lin YT, Shih CS, Han SY, Shen MH, Chen TC, Liang CL, Lu MC, Liu C-J (2012) Age-related changes of task-specific brain activity in normal aging. Neurosci Lett 507:78–83CrossRefGoogle Scholar
  11. 11.
    Blackhart GC, Kline JP, Donohue KF, LaRowe SD, Joiner TE (2002) Affective responses to EEG preparation and their link to resting anterior EEG symmetry. Pers Individ Differ 32:167–174CrossRefGoogle Scholar
  12. 12.
    Huang CF, Liu CJ (2012) An event-related potentials study of mental rotation in identifying chemical structural formulas. Eur J Educ Res 1(1):37–54Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Yueh-Min Huang
    • 1
    Email author
  • Chin-Fei Huang
    • 2
  • Ming-Chi Liu
    • 1
  • Chang-Tzuoh Wu
    • 2
  1. 1.Department of Engineering ScienceNational Cheng Kung UniversityTainan CityTaiwan, Republic of China
  2. 2.Graduate Institute of Science EducationNational Kaohsiung Normal UniversityKaohsiungTaiwan, Republic of China

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