Skip to main content
Log in

Evolution of self-reporting methods for identifying discrete emotions in science classrooms

  • Original Paper
  • Published:
Cultural Studies of Science Education Aims and scope Submit manuscript

Abstract

Emotion researchers have grappled with challenging methodological issues in capturing emotions of participants in naturalistic settings such as school or university classrooms. Self-reporting methods have been used frequently, yet these methods are inadequate when used alone. We argue that the self-reporting methods of emotion diaries and cogenerative dialogues can be helpful in identifying in-the-moment emotions when used in conjunction with the microanalysis of video recordings of classroom events. We trace the evolution of our use of innovative self-reporting methods through three cases from our research projects, and propose new directions for our ongoing development and application of these methods in both school and university classrooms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Barker, C., Pistrang, N., & Elliott, R. (2002). Methods in clinical psychology: An introduction for students and practitioners. West Sussex: Wiley.

    Book  Google Scholar 

  • Bellocchi, A., Ritchie, S. M., Tobin, K., King, D., Sandhu, M., & Henderson, S. (2013a, April). The production of emotional climate in pre-service science teacher education. Paper presented at the annual meeting of the National Association for Research in Science Teaching, Rio Grande, Puerto Rico, 5–9 April 2013.

  • Bellocchi, A., Ritchie, S. M., Tobin, K., Sandhu, M., & Sandhu, S. (2013b). Exploring emotional climate in pre-service science teacher education. Cultural Studies of Science Education, 8, 529–552. doi:10.1007/s11422-013-9526-3.

    Article  Google Scholar 

  • Borup, J., West, R. E., & Graham, C. R. (2012). Improving online social presence through asynchronous video. Internet and Higher Education, 15, 195–203. doi:10.1016/j.iheduc.2011.11.001.

    Article  Google Scholar 

  • Bourdieu, P. (1977). Outline of a theory of practice. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Dael, N., Mortillaro, M., & Scherer, K. R. (2012). Emotion expression in body action and posture. Emotion, 12, 1085–1101. doi:10.1037/a0025737.

    Article  Google Scholar 

  • Darwin, C. (1890). The expression of emotions in man and animals. London: Penguin.

    Google Scholar 

  • Dempsey, N. P. (2010). Stimulated recall interviews in ethnography. Qualitative Sociology, 33, 349–367. doi:10.1007/s11133-010-9157-x.

    Article  Google Scholar 

  • Do, S. L., & Schallert, D. L. (2004). Emotions and classroom talk: Toward a model of the role of affect in students’ experiences of classroom discourse. Journal of Educational Psychology, 96, 619–634. doi:10.1037/0022-0663.96.4.619.

    Article  Google Scholar 

  • Ekman, P. (2004). Emotions revealed. Understanding faces and feelings. London: Phoenix.

    Google Scholar 

  • Ekman, P., & Friesen, W. V. (1975). Unmasking the face. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Ekman, P., & Friesen, W. V. (1978). The facial action coding system: A technique for the measurement of facial movement. Palo Alto: Consulting Psychologist Press.

    Google Scholar 

  • Gleaves, A., & Walker, C. (2010). Student teachers’ situated emotions: A study of how electronic communication facilitates their expression and shapes their impact on novice teacher development during practice placements. Teacher Development, 14(2), 139–152. doi:10.1080/13664530.2010.494498.

  • Gooty, J., Gavin, M., & Ashkanasy, N. M. (2009). Emotions research in OB: The challenges that lie ahead. Journal of Organizational Behavior, 30, 833–838. doi:10.1002/job.619.

    Article  Google Scholar 

  • Kanyangara, P., Rime, B., Philippot, P., & Yzerbyt, V. (2007). Collective rituals, emotional climate and intergroup perception: Participation in “Gacaca” tribunals and assimilation of the Rwandan genocide. Journal of Social Issues, 63, 387–403. doi:10.1111/j.1540-4560.2007.00515.x.

    Article  Google Scholar 

  • Liljestrom, A., Roulston, K., & deMarrais, K. (2007). “There’s no place for feeling like this in the workplace”: Women teachers’ anger in school settings. In P. A. Schutz & R. Pekrun (Eds.), Emotion in education (pp. 275–291). Oxford: Academic Press.

    Chapter  Google Scholar 

  • Linnenbrink, E. A. (2007). The role of affect in student learning: A multidimensional approach considering the interaction of affect, motivation, and engagement. In P. A. Schutz & R. Pekrun (Eds.), Emotion in education (pp. 107–124). Oxford: Academic Press.

    Chapter  Google Scholar 

  • O’Regan, K. (2003). Emotion and e-learning. Journal of Asynchronous Network Learning, 7(3), 78–92.

    Google Scholar 

  • Oatley, K. (2009). Communications to self and others: Emotional experience and its skills. Emotion Review, 1(3), 206–213. doi:10.1177/1754073909103588.

    Article  Google Scholar 

  • Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91–105.

    Article  Google Scholar 

  • Pekrun, R., & Schutz, P. A. (2011). Where do we go from here? Implications and future directions for inquiry on emotions in education. In G. D. Phye, P. A. Schutz, & R. Pekrun (Eds.), Emotion in education (pp. 313–331). San Diego: Academic Press.

    Google Scholar 

  • Ritchie, S. M., Tobin, K., Sandhu, M., Sandhu, M., Henderson, S., & Roth, W.-M. (2013). Emotional arousal of beginning physics teachers during extended experimental investigations. Journal of Research in Science Teaching, 50, 137–161. doi:10.1002/tea.21060.

    Article  Google Scholar 

  • Ritchie, S. M., & Tomas, L. (2013). Designing an innovative approach to engage students in learning science. The evolving case of hybridized writing. In L. V. Shavinina (Ed.), The Routledge international handbook of innovative education (pp. 385–395). Oxford: Routledge.

    Google Scholar 

  • Rozin, P., Haidt, J., & McCauley, C. R. (2008). Disgust. In M. Lewis & J. Havilland-Jones (Eds.), Handbook of emotions (3rd ed., pp. 2200–2262). New York: Guilford Press.

    Google Scholar 

  • Scherer, K. S. (2003). Vocal communication of emotion. A review of research paradigms. Speech Communication, 40, 227–256.

    Article  Google Scholar 

  • Schutz, P. A., & Pekrun, R. (Eds.). (2007). Emotion in education. Amsterdam: Academic Press.

    Google Scholar 

  • Stets, J. E. (2010). Future directions in the sociology of emotions. Emotion Review, 2, 265–268. doi:10.1177/1754073910361975.

    Article  Google Scholar 

  • Sutton, R. E. (2007). Teachers’ anger, frustration, and self-regulation. In P. A. Schutz & R. Pekrun (Eds.), Emotion in education (pp. 259–274). Oxford: Academic Press.

    Chapter  Google Scholar 

  • Sutton, R. E., Mudrey-Camino, R., & Knight, C. C. (2009). Teachers’ emotion regulation and classroom management. Theory into Practice, 48, 130–137. doi:10.1080/00405840902776418.

    Article  Google Scholar 

  • Tobin, K., & Ritchie, S. M. (2012). Multi-method, multi-theoretic, multi-level research in the learning sciences. Asia-Pacific Education Researcher, 21, 117–129.

    Google Scholar 

  • Tobin, K., & Roth, W.-M. (2005). Coteaching/cogenerative dialoguing in an urban science teacher preparation program. In W.-M. Roth & K. Tobin (Eds.), Teaching together, learning together (pp. 59–77). New York: Peter Lang.

    Google Scholar 

  • Turner, J. H. (2002). Face to face. Toward a theory of interpersonal behavior. Stanford: Stanford University Press.

    Google Scholar 

  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070. doi:10.1037/0022-3514.54.6.1063.

    Article  Google Scholar 

  • White, C. J. (2013). Higher education emotions: A scale development exercise. Higher Education Research & Development, 32, 287–299. doi:10.1080/07294360.2012.674496.

    Article  Google Scholar 

  • Wosnitza, M., & Volet, S. (2005). Origin, direction and impact of emotions in social online learning. Learning and Instruction, 15, 449–464. doi:10.1016/j.learninstruc.2005.07.009.

    Article  Google Scholar 

  • Zembylas, M. (2002). Constructing genealogies of teachers’ emotions in science teaching. Journal of Research in Science Teaching, 39, 79–103. doi:10.1002/tea.10010.

    Article  Google Scholar 

  • Zembylas, M. (2008). Adult learners’ emotions in online learning. Distance Education, 29(1), 71–87. doi:10.1080/01587010802004852.

    Article  Google Scholar 

Download references

Acknowledgments

Contract grant sponsor: Australian Research Council, Contract grant numbers: DP1210369 and LP110200368.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephen M. Ritchie.

Additional information

Lead Editor: C. Siry.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ritchie, S.M., Hudson, P., Bellocchi, A. et al. Evolution of self-reporting methods for identifying discrete emotions in science classrooms. Cult Stud of Sci Educ 11, 577–593 (2016). https://doi.org/10.1007/s11422-014-9607-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11422-014-9607-y

Keywords

Navigation