USING SENSORS TO DETECT STUDENT’S EMOTION IN ADAPTIVE LEARNING ENVIRONMENT

Hippokratis Apostolidis, Th. Tsiatsos

Abstract

The purpose of this paper is a case study of the development of a device that could collect and evaluate biosignals by people engaged in learning activities. The physiological reactions of the body, affects the conductivity of the skin producing bio-signals that provides the opportunity to estimate some basic human emotional states. In particular stressful situations have resulted in increased moisture in human skin, reducing the resistance and increasing the conductivity of the skin to electrical current. In this case study there is a reference to adaptive collaborative learning support. This work suggests that emotional state regulation may be an important factor in implementing the adaptivity of learning activities.

References

  1. Allen, B., Carifio, J., 1995. Methodology for the analysis of emotion experiences during mathematical problem solving. Annual Conference of the New England Educational Research Organization. Portsmouth.
  2. Csikszentmihalyi, M., 1990. Flow: The Psychology of Optimal Experience. Harper-Row, New York.
  3. Dweck, C., 2002. Messages that motivate: How praise molds students' beliefs, motivation, and performance (in surprising ways). Improving Academic Achievement: Impact of Psychological factors on Education pp. 61-87. Academic Press, Orlando.
  4. Epstein, S., Fenz.W., 1967. The detection of areas of stress through variations in perceptual threshold and physiological arousal. Journal of Experimental Research in Personality, 2,191-199.
  5. Festinger, L., 1957. A theory of cognitive dissonance. Stanford University Press, Stanford.
  6. Fielder, K., 2001. Affective states trigger processes of assimilation and accommodation. In: Martin, L. & Clore, G. (eds.) Theories of Mood and Cognition: A User's Guidebook. pp. 85-98. Erlbaum, Mahwah.
  7. Gallardo T., Guerrero L. A., Collazos C., José A. P., Ochoa S., 2003. Supporting JIGSAW-type Collaborative Learning. Department of Computer Science, Universidad de Chile, Blanco Encalada.
  8. Graesser, A., Lu, S., Olde, B., Cooper-Pye, E., & Whitten, S., 2005. Question asking and eye tracking during cognitive disequilibrium: Comprehending illustrated texts on devices when the devices break down. Memory and Cognition 33, 1235-1247.
  9. Graesser, A., Olde, B., 2003. How does one know whether a person understands a device? The quality of the questions the person asks when the device breaks down. J. of Educational Psychology 95, 524-536.
  10. Hatfield, E., Cacioppo, J. T., & Rapson, R. L., 1994. Emotional contagion. New York: Cambridge University Press.
  11. Isen, A., Daubman, K., & Nowicki, G., 1987. Positive affect facilitates creative problem solving. J. of Personality and Social Psychology 52, 1122-1131.
  12. Isen, A., 2001. An influence of positive affect on decision making in complex situations: Theoretical issues with practical implications. J. of Consumer Psychology 11, 75-85.
  13. Johnson, D. W., Johnson, R. T., 1974. Instructional goal structure: Cooperative, competitive or individualistic. Review of Educational Research, 4, 213-240.
  14. Kuhl, J., 1983. The functional significance of emotions in perception, memory, problem-solving, and overt action. Sprache & Kognition 2, 228-253.
  15. Kumar, R., Rosé, C. P., Wang, Y. C., Joshi, M., Robinson, A. 2007. Tutorial dialogue as adaptive collaborative learning support. In R. Luckin, K. R. Koedinger, & J. Greer (Eds.) Proceedings of Artificial Intelligence in Education (pp. 383-390). IOS Press.
  16. Lazarus, R., 1991. Emotion and adaptation. Oxford University Press, New York.
  17. Leonard W. J., Dufresne R.J., Gerace W. J., Mestre J. P., 1999. Collaborative Group Techniques. A discussion of teaching via small-group cooperative learning work.
  18. Lewis, M., Haviland-Jones, J. M., 2000. Handbook of emotions. New York: Guilford Press.
  19. Lykken, D. T., Venables, P., 1971. Direct measurement of skin conductance: A proposal for standardization. Psychophysiology, 8, 656-672.Designated a Citation Classic, Institute for Scientific Information.
  20. Mandler, G., 1984a. Another theory of emotion claims too much and specifies too little. Current Psychology of Cognition 4, 84-87.
  21. Mandler, G., 1984b. Mind and body. W. W. Norton, New York.
  22. Olafson, K. M., Ferraro, F. R., 2001. Effects of emotional state on lexical decision performance. Brain and Cognition, 45, 15-20.
  23. Piaget, J., 1952. The origins of intelligence in children. International University Press, Oxford.
  24. Prokasy, W. F. & Raskin, D. C., 1973. Eds. Electrodermal Activity in Psychological Research. New York: Academic Press.
  25. Rummel, N., Weinberger, A. 2008. New challenges in CSCL: Towards adaptive script support. In G. Kanselaar, V. Jonker, P.A. Kirschner, & F. Prins, (Eds.), International perspectives of the learning sciences: Cre8ing a learning world. Proceedings of the Eighth International Conference of theLearning Sciences (ICLS 2008), 3 (pp. 338-345). International Society of the Learning Sciences, Inc.
  26. Schutz, P. A., Pekrun, R., 2007. Emotion in education. San Diego, CA: Academic Press.
  27. Schwarz, N., Skurnik, I., 2003. Feeling and thinking: Implications for problem solving. In: Davidson, J. & Sternberg, R. (eds.) The Psychology of Problem Solving. pp. 263-290. Cambridge University Press, New York.
  28. Spering, M., Wagener, D., & Funke, J., 2005. The role of emotions in complex problem-solving. Cognition and Emotion 19, 1252-1261.
  29. Stein, N.L., Hernandez, M.W., 2007. Assessing Emotional Understanding in Narrative On- line Interviews: The Use of the Narcoder. In Coan, James A. and Allen, John J. B. (Eds.), Handbook of Emotion Elicitation and Assessment. Oxford University Press: New York.
  30. Zeidner, M., 1998. Test anxiety: The state of the art. New York: Plenum Press.
  31. Zeidner, M., 2007. Test anxiety in educational contexts: What I have learned so far. In P. A. Schutz & R. Pekrun (Eds.), Emotion in education (pp. 165-184). San Diego, CA: Academic Press.
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Paper Citation


in Harvard Style

Tsiatsos T. and Apostolidis H. (2011). USING SENSORS TO DETECT STUDENT’S EMOTION IN ADAPTIVE LEARNING ENVIRONMENT . In Proceedings of the Second International Conference on Innovative Developments in ICT - Volume 1: INNOV, ISBN 978-989-8425-67-6, pages 60-65. DOI: 10.5220/0004471700600065


in Bibtex Style

@conference{innov11,
author={Th. Tsiatsos and Hippokratis Apostolidis},
title={USING SENSORS TO DETECT STUDENT’S EMOTION IN ADAPTIVE LEARNING ENVIRONMENT},
booktitle={Proceedings of the Second International Conference on Innovative Developments in ICT - Volume 1: INNOV,},
year={2011},
pages={60-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004471700600065},
isbn={978-989-8425-67-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Innovative Developments in ICT - Volume 1: INNOV,
TI - USING SENSORS TO DETECT STUDENT’S EMOTION IN ADAPTIVE LEARNING ENVIRONMENT
SN - 978-989-8425-67-6
AU - Tsiatsos T.
AU - Apostolidis H.
PY - 2011
SP - 60
EP - 65
DO - 10.5220/0004471700600065