Skip to main content
Log in

The link between achievement emotions, appraisals, and task performance: pedagogical considerations for emotions in CBLEs

  • Published:
Journal of Computers in Education Aims and scope Submit manuscript

Abstract

Achievement emotions have a powerful influence on how students interact with current and future learning and performance tasks. As such, pedagogical practices that support adaptive student emotions are critical for teaching and learning in computer-based learning environments (CBLEs). This research investigates the relationship between during-task achievement emotions and participants’ appraisals of task control, value, perceived performance, and actual performance outcomes on a diagnostic reasoning task with a CBLE, BioWorld. Based on the emotions participants reported experiencing during the task, we found that participants could be organized into three groups using a k-means cluster analysis: a positive, negative, and low emotion group. Participants assigned to the positive emotion group had the highest subjective appraisals of task value, task control, and the highest perceived performance; however, these participants had lower levels of actual performance when compared to learners assigned to the low emotion cluster and had actual performance levels comparable to learners in the negative emotion cluster. These results provide preliminary evidence for fostering low emotionality rather than positive emotionality with pedagogical interventions in order to support better performance outcomes, while learners engage in academic achievement tasks in CBLEs.

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

Similar content being viewed by others

Notes

  1. With the exception of boredom which can be experienced when there is no perceived value and high or low levels of control.

References

  • Baker, R. S. J., D’Mello, S. K., Mercedes, M. T., & Graesser, A. C. (2010). Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive–affective states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies, 68, 223–241.

    Article  Google Scholar 

  • Bosch, N., D’Mello, S., Baker, R., Ocumpaugh, J., Shute, V., Ventura, M., Wang, L., & Zhao, W. (2015). Automatic detection of learning-centered affective states in the wild. In Proceedings of the 20th international conference on intelligent user interfaces (pp. 379–388). ACM.

  • Calvo, R. A., & D’Mello, A. C. (2012). Frontiers of affect-aware learning technologies. IEEE Intelligent Systems, 27, 86–89.

    Article  Google Scholar 

  • Calvo, R. A., & D’Mello, S. (2010). Affect detection: An interdisciplinary review of models, methods, and their applications. Affective Computing, IEEE Transactions on, 1(1), 18–37.

    Article  Google Scholar 

  • Carver, C. S., & Scheier, M. F. (2014). The experience of emotions during goal pursuit. In R. Pekrun & L. Linnenbrink- Garcia (Eds.), International handbook of emotions in education (pp. 56–72). New York: Routledge.

  • Cassady, J. C. (2004). The influence of cognitive test anxiety across the learning–testing cycle. Learning and Instruction, 14(6), 569–592.

    Article  Google Scholar 

  • D’Mello, S. K. (2013). A selective meta-analysis on the relative incidence of discrete affective states during learning with technology. Journal of Educational Psychology, 105, 1082–1099.

    Article  Google Scholar 

  • D’Mello, S., & Graesser, A. (2012). Dynamics of affective states during complex learning. Learning and Instruction, 22(2), 145–157.

    Article  Google Scholar 

  • D’Mello, S., Lehman, B., Pekrun, R., & Graesser, A. (2014). Confusion can be beneficial for learning. Learning and Instruction, 29, 153–170.

    Article  Google Scholar 

  • Daniels, L. M., Haynes, T. L., Stupnisky, R. H., Perry, R. P., Newall, N. E., & Pekrun, R. (2008). Individual differences in achievement goals: A longitudinal study of cognitive, emotional, and achievement outcomes. Contemporary Educational Psychology, 33(4), 584–608.

    Article  Google Scholar 

  • Doleck, T., Basnet, R. B., Poitras, E. G., & Lajoie, S. P. (2015). Mining learner–system interaction data: implications for modeling learner behaviors and improving overlay models. Journal of Computers in Education, 2(4), 421–447.

    Article  Google Scholar 

  • Duffy, M., Lajoie, S., Jarrell, A., Pekrun, R., Azevedo, R., & Lachapelle, K. (2015). Emotions in medical education: Developing and testing a scale of emotions across medical learning environments. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.

  • Frenzel, A. C., Thrash, T. M., Pekrun, R., & Goetz, T. (2007). Achievement emotions in Germany and China: A cross-cultural validation of the Academic Emotions Questionnaire-Mathematics (AEQ-M). Journal of Cross-Cultural Psychology, 38, 302–309.

    Article  Google Scholar 

  • Goetz, T., Frenzel, A. C., Stoeger, H., & Hall, N. C. (2010). Antecedents of everyday positive emotions: An experience sampling analysis. Motivation and Emotion, 34(1), 49–62.

    Article  Google Scholar 

  • Hall, N. C., Perry, R. P., Ruthig, J. C., Hladkyj, S., & Chipperfield, J. G. (2006). Primary and secondary control in achievement settings: A longitudinal field study of academic motivation, emotions, and performance. Journal of Applied Social Psychology, 36(6), 1430–1470.

    Article  Google Scholar 

  • Harley, J. M., & Azevedo, R. (2014). Toward a feature-driven understanding of students’ emotions during interactions with agent-based learning environments: A selective review. International Journal of Gaming and Computer-Mediated Simulation, 6(3), 17–34.

    Article  Google Scholar 

  • Harley, J. M., Bouchet, F., Hussain, S., Azevedo, R., & Calvo, R. (2015). A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system. Computers in Human Behavior, 48, 615–625.

    Article  Google Scholar 

  • Harley, J. M., Carter, C. K., Papaionnou, N., Bouchet, F., Azevedo, R., Landis, R. L., & Karabachian, L. (2016). Examining the predictive relationship between personality and emotion traits and students’ agent-directed emotions: Towards emotionally-adaptive agent-based learning environments. User Modeling and User-Adapted Interaction, 26, 177–219.

  • Jarrell, A., Harley, J. M., Lajoie, S. P., & Naismith, L. (2015). Examining the relationship between performance feedback and emotions in diagnostic reasoning: Toward a predictive framework for emotional support. In C. Conati & N. Heffernan (Eds.), Lectures notes in artificial intelligence (Vol. 9112, pp. 657–660). Artificial intelligence in education Switzerland: Springer.

    Google Scholar 

  • Jarrell, A., Harely, J. M., & Lajoie, S. P. (2016). How do emotions experienced during problem solving relate to students’ perceived and actual performance? Paper presented at the American Educational Research Association, Washington, DC.

  • Lajoie, S. P. (2009). Developing professional expertise with a cognitive apprenticeship model: Examples from avionics and medicine. In K. A. Ericsson (Ed.), Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments (pp. 61–83). Cambridge: Cambridge University Press.

    Chapter  Google Scholar 

  • Lajoie, S. P., Lee, L., Poitras, E., Bassiri, M., Kazemitabar, M., Cruz-Panesso, I., et al. (2015). The role of regulation in medical student learning in small groups: Regulating oneself and others’ learning and emotions. Computers in Human Behavior, 52, 601–616.

    Article  Google Scholar 

  • Lazarus, R. S. (2006). Emotions and interpersonal relationships: Toward a person-centered conceptualization of emotions and coping. Journal of Personality, 74(1), 9–46.

    Article  Google Scholar 

  • Linnenbrink-Garcia, L., & Barger, M. M. (2014). Achievement goals and emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 142–161). New York: Routledge.

    Google Scholar 

  • Martinent, G., Nicolas, M., Gaudreau, P., & Campo, M. (2013). A cluster analysis of affective states before and during competition. Journal of Sport & Exercise Psychology, 35(6), 600–611.

    Article  Google Scholar 

  • Mayer, R. (2011). Information processing. In K. Harris, S. Graham, & T. Urdan (Eds.), APA educational psychology handbook: Theories, constructs, and critical issues (Vol. 1, pp. 85–100). Washington, DC: APA.

    Google Scholar 

  • Meinhardt, J., & Pekrun, R. (2003). Attentional resource allocation to emotional events: An ERP study. Cognition and Emotion, 17, 477–500.

    Article  Google Scholar 

  • Meyers, L., Gamst, G., & Guarino, A. (2013). Applied multivariate research: Design and interpretation. Thousand Oaks, CA: SAGE.

    Google Scholar 

  • Naismith, L. M. (2013). Examining motivational and emotional influences on medical students’ attention to feedback in a technology-rich environment for learning clinical reasoning. Unpublished doctoral dissertation. Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada.

  • Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341.

    Article  Google Scholar 

  • Pekrun, R., Elliot, A. J., & Maier, M. A. (2009). Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. Journal of Educational Psychology, 101(1), 115–135.

    Article  Google Scholar 

  • Pekrun, R., Goetz, T., Daniels, L. M., Stupnisky, R. H., & Perry, R. P. (2010). Boredom in achievement settings: Exploring control–value antecedents and performance outcomes of a neglected emotion. Journal of Educational Psychology, 102(3), 531–549. doi:10.1037/a0019243.

    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 quantitative and qualitative research. Educational Psychologist, 37, 91–106.

    Article  Google Scholar 

  • Pekrun, R., & Hofmann, H. (1996). Affective and motivational processes: Contrasting interindividual and intraindividual perspectives. Paper presented at the annual meeting of the American Educational Research Association, New York.

  • Pekrun, R., & Perry, R. P. (2014). Control-value theory of achievement emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 120–141). New York: Routledge.

    Google Scholar 

  • Ranellucci, J., Hall, N. C., & Goetz, T. (2015). Achievement goals, emotions, learning, and performance: A process model. Motivation Science, 1(2), 98–120.

    Article  Google Scholar 

  • Rieber, L. P., & Noah, D. (2008). Games, simulations, and visual metaphors in education: antagonism between enjoyment and learning. Educational Media International, 45(2), 77–92.

    Article  Google Scholar 

  • Russell, J. A., Weiss, A., & Mendelsohn, G. A. (1989). Affect grid: A single-item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57(3), 493–502.

    Article  Google Scholar 

  • Ruthig, J. C., Perry, R. P., Hladkyj, S., Hall, N. C., Pekrun, R., & Chipperfield, J. G. (2008). Perceived control and emotions: Interactive effects on performance in achievement settings. Social Psychology of Education, 11(2), 161–180.

    Article  Google Scholar 

  • Seibert, P. S., & Ellis, H. C. (1991). Irrelevant thoughts, emotional mood states, and cognitive task performance. Memory & Cognition, 19(5), 507–513.

    Article  Google Scholar 

  • Tong, E. M., Bishop, G. D., Enkelmann, H. C., Why, Y. P., Diong, S. M., Khader, M., & Ang, J. (2007). Emotion and appraisal: A study using ecological momentary assessment. Cognition and Emotion, 21(7), 1361–1381.

    Article  Google Scholar 

  • Zeidner, M. (1998). Test anxiety: The state of the art. New York: Springer.

    Google Scholar 

  • Zeidner, M. (2014). Anxiety in education. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 265–288). New York: Taylor & Francis.

    Google Scholar 

  • Zimmerman, B. J., & Labuhn, A. S. (2012). Self-regulation of learning: Process approaches to personal development. In K. Harris, S. Graham, & T. Urdan (Eds.), APA educational psychology handbook: Theories, constructs, and critical issues (Vol. 1, pp. 399–425). Washington, DC: APA.

    Chapter  Google Scholar 

Download references

Acknowledgments

The research presented in this paper has been supported by a Doctoral fellowship from Richard H. Tomlinson (through McGill University) and a Doctoral Canadian Graduate Scholarship from the Social Science and Humanities Research Council (SSHRC) awarded to the first author. This research has also been supported by a Canadian Fund for Innovation and a Canada Research Chair grant awarded to Dr. Susanne P. Lajoie and a SSHRC partnership grant, headed by Dr. Susanne P. Lajoie. The authors would also like to thank Maher Chaouachi, Tenzin Doleck, Melissa Duffy, Maedeh Kazemi, Philippe Latour, Lila Lee, Laura Pipe, and Tara Tressel for assistance with data collection.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amanda Jarrell.

Ethics declarations

Conflict of interest

The authors declare that they have no known conflicts of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the McGill Research Ethics Board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jarrell, A., Harley, J.M. & Lajoie, S.P. The link between achievement emotions, appraisals, and task performance: pedagogical considerations for emotions in CBLEs. J. Comput. Educ. 3, 289–307 (2016). https://doi.org/10.1007/s40692-016-0064-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40692-016-0064-3

Keywords

Navigation