Abstract
The current study investigated teacher emotions, student emotions, and discourse features in relation to learning in a serious game. The experiment consisted of 48 subjects participating in a 4-condition within-subjects counter-balanced pretest-interaction-posttest design. Participants interacted with a serious game teaching research methodology with natural language conversations between the human student and two artificial pedagogical agents. The discourse of the artificial pedagogical agents was manipulated to evoke student affective states. Student emotion was measured via affect grids and discourse features were measured with computational linguistics techniques. Results indicated that learner’s arousal levels impacted learning and that language use is correlated with learning.
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Millis, K., Forsyth, C., Butler, H., Wallace, P., Graesser, A.C., Halpern, D.: Operation ARIES! a serious game for teaching scientific inquiry: serious games and edutainment applications. In: Ma, M., Oikonomou, A., Lakhmi, J. (eds.), pp.169–196. Springer-Verlag, London (2011)
Forsyth, C.M., Graesser, A.C. Pavlik, P., Cai, Z., Butler, H., Halpern, D.F., Millis, K.: Operation ARIES! methods, mystery and mixed models: Discourse features predict affect in a serious game. J. Ed. D. Min. 5, 147–189 (2013)
D’Mello, S., Graessar, A.C.: Emotions during learning with AutoTutor: adaptive technologies for training and education. In: Durlach, P.J., Lesgold, A. (eds.). Cambridge University Press (2012)
Conati, C., Maclaren, H.: Empirically building and evaluating a probabilistic model of user affect. User Mod. User-Ad. Inter. 19, 267–303 (2009)
Russell, J., Weiss, A., Mendelsohn, J.A.: Affect grid: A single-item scale of pleasure and arousal. J. of Pers. and Soc. Psych. 57, 493–5029 (1989)
Sullins, J., Craig, S., Graesser, A.C.: Tough love: the influence of an agent’s negative affect on students’ learning. In: Dimitrova, V., Mizoguchi, R., Du Boulay, B., Graesser, A.C. (eds.) Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modeling, pp. 677–679. IOS Press, Am-sterdam (2009)
Isen, A.M.: Positive affect and decision processes: some recent theoretical developments with practical implications: handbook of consumer psychology. In: Haugdevedt, C., Herr, P.M., Kardes, F.R. (eds.), pp. 273–296. Psychology Press, New York (2008)
Franzel, A.C., Goetz, T., Ludtke, O., Pekrun, R., Sutton, R.E.: Emotion transmission in the classroom: Exploring the relationship between teacher and student enjoyment. J. Ed. Psy. 101, 705–716 (2009)
Frederickson, B.L.: The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. Amer. Psy. 56, 218–226 (2001)
Lang, P.J.: The emotion probe: Studies of motivation and attention. Amer. Psy. 50, 372–385 (1995)
Martindale, C.: Cognition and Consciousness. Dorsey Press, Illinois (1981)
Pennebaker, J., Francis, M.E., Booth R.J.: Linguistic inquiry and word count (LIWC): LIWC2001, Mahwah, New Jersey (2001)
Rude, S.S., Gortner, E., Pennebaker, J.: Language use of depressed and depression- vulnerable college students. Cog. & Emot. 18, 1121–1133 (2004)
Graesser, A.C., Forsyth, C.: Discourse comprehension: oxford handbook of cognitive psychology. In: Reisberg, D. (ed.). Oxford University Press (2014)
Graesser, A.C., Millis, K.K., Zwaan, R.A.: Discourse comprehension. Annual Review of Psychology 48, 163–189 (1997)
Graesser, A.C., McNamara, D.S.: Computational analyses of multilevel discourse comprehension. Top. Cog. Sci. (2011)
17. Graesser, A.C., McNamara, D.S., Louwerse, M.M., Cai, Z.: Coh-Metrix: Analysis of text on cohension and language. Beh. Res. Meth., Instru., and Comp. 36, 193–202 (2004)
Graesser, A.C., McNamara, D.S., Kulikowich, J.: Coh-Metrix: Providing multilevel analyses of text characteristics. Ed. Res. 40, 223–234 (2011)
Landauer, T., McNamara, D.S., Dennis, S., Kintsch, W.: Handbook of Latent Semantic Analysis, Mahwah, New Jersey (2007)
Jurafsky, D., Martin, J.: Speech and language processing. Prentice Hall, New Jersey (2008)
Cai, Z., Graesser, A.C., Forsyth, C., Burkett, C., Millis, K., Wallace, P., Halpern, D., Butler: Trialog in ARIES: user input assessment in an intelligent tutoring system. In: 3rd IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 429–433. IEEE Press, China (2011)
Jackson, G.T., Graesser, A.C., McNamara, D.S.: What students expect may have more impact than what they know or feel: artificial intelligence in education; building learning systems that care; from knowledge representation to affective modeling. In: Dimitrova, V., Mizoguchi, R., Du Boulay, B., Graesser, A.C. (eds.), pp. 73–80. IOS Press (2009)
Forsyth, Carol, Graesser, Arthur, Walker, Breya, Millis, Keith, Pavlik Jr., Philip I., Halpern, Diane: Didactic galactic: types of knowledge learned in a serious game. In: Lane, HChad, Yacef, Kalina, Mostow, Jack, Pavlik, Philip (eds.) AIED 2013. LNCS, vol. 7926, pp. 832–835. Springer, Heidelberg (2013)
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Forsyth, C.M., Graesser, A., Olney, A.M., Millis, K., Walker, B., Cai, Z. (2015). Moody Agents: Affect and Discourse During Learning in a Serious Game. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_14
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DOI: https://doi.org/10.1007/978-3-319-19773-9_14
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