Exploring high school students’ emotions in energy illustrations by using EDA Sensors

Authors

  • Eman Sharaf University of Vienna, Center for Teacher Education, Austrian Educational Competence Centre Physics, Porzellangasse 4, 1090 Vienna, Austria
  • Martin Hopf University of Vienna, Center for Teacher Education, Austrian Educational Competence Centre Physics, Porzellangasse 4, 1090 Vienna, Austria

Keywords:

academic emotions, energy images, electrodermal activity EDA

Abstract

Academic emotions are a multidimensional phenomenon (Pekrun et al., 2004; Shuman, V., & Scherer, K. R. 2014) involving different processes. However, the students’ cognition and outcomes are related directly to students’ academic emotions, the electrodermal Activity (EDA) is one of the electrical parameters that can be used to determine the emotional state including stress levels. In this presentation, we explore high school students’ emotions in physics by using those sensors. First, data from two different versions of EDA sensors are compared with self-reported emotions by using a computerized version of Self-Assessment Manikin (SAM) (Bradley & Lang,1994). In this step we compared our data to the data of the technical handbook (Lang et al., 2008). Second, we profile students’ emotions of energy images with EDA sensor data and self-reported data. The data from both EDA sensor systems are comparable. But no connection between EDA sensor data and self-reported data can be found. We also can differentiate different clusters of energy pictures according to students EDA levels.

ACKNOWLEDGEMENT

This Study is Recipient of a DOC Fellowship of the Austrian Academy of Sciences at the Institute of Austrian Educational Competence Centre AECC, Physics Department.

REFERENCES

Bradley, M. M., & Lang, P. J. (1994). Measuring emotion: The Self-Assessment Manikin and the Semantic Differential. Journal of Behavioral Therapy and Experimental Psychiatry, 25(1), 49-59.

Lang, P. J. (1980). Behavioral treatment and bio-behavioral assessment: Computer applications. In J. B. Sidowski, J. H.      Johnson, & T A. Williams (Eds.), Technology in mental health care delivery systems, 119-13, Norwood, NJ: Ablex Publishing.

Pekrun, R., Goetz, T., Perry, R. P., Kramer, K., Hochstadt, M., & Molfenter, S. (2004). Beyond test anxiety: Development and validation of the test emotions questionnaire (TEQ). Anxiety, Stress & Coping: An International Journal, 17(3), 287–316. https://doi.org/10.1080/10615800412331303847

Shuman, V., & Scherer, K. R. (2014). Concepts and structures of emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 13–35). Routledge/Taylor & Francis Group.

Downloads

Published

2022-11-25