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Understanding Students’ Emotions during Interactions with Agent-Based Learning Environments: A Selective Review

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Intelligent Tutoring Systems (ITS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8474))

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Abstract

This selective review discusses the emotions that learners report experiencing while interacting with agent-based learning environments.

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References

  1. Conati, C., Maclaren, H.: Empirically building and evaluating a probabilistic model of user affect. User Modeling and User-Adapted Interaction 19, 267–303 (2009)

    Article  Google Scholar 

  2. D’Mello, S.K., Graesser, A.C.: AutoTutor and affective AutoTutor. ACM Transactions on Interactive Intelligent Systems 2 (2013)

    Google Scholar 

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

    Article  Google Scholar 

  4. Dragon, T., Arroyo, I., Woolf, B.P., Burleson, W., el Kaliouby, R., Eydgahi, H.: Viewing student affect and learning through classroom observation and physical sensors. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 29–39. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Harley, J.M., Bouchet, F., Azevedo, R.: Aligning and comparing data on learners’ emotions experienced with MetaTutor. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 61–70. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  6. McQuiggan, S.W., Robison, J.L., Lester, J.C.: Affective transitions in narrative-centered learning environments. Journal of Ed. Technology & Society 13(1), 40–53 (2010)

    Google Scholar 

  7. Sabourin, J., Mott, B., Lester, J.C.: Modeling learner affect with theoretically grounded dynamic Bayesian networks. In: D’Mello, S., Graesser, A., Schuller, B., Martin, J.-C. (eds.) ACII 2011, Part I. LNCS, vol. 6974, pp. 286–295. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Pekrun, R.: Emotions as drivers of learning and cog. dev. In: Calvo, R.A., D’Mello, S. (eds.) New Perspectives on Affect and Learning Tech., pp. 23–39. Springer, NY (2011)

    Chapter  Google Scholar 

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Harley, J.M., Azevedo, R. (2014). Understanding Students’ Emotions during Interactions with Agent-Based Learning Environments: A Selective Review. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_86

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  • DOI: https://doi.org/10.1007/978-3-319-07221-0_86

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07220-3

  • Online ISBN: 978-3-319-07221-0

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