Abstract
This study investigated the impact of pedagogical agents’ conversational formality on learning and engagement in a trialog-based intelligent tutoring system (ITS). Participants (N = 167) were randomly assigned into one of three conditions to learn summarization strategies with the conversational agents: (1) a formal condition in which both the teacher agent and the student agent spoke with a formal language style, (2) an informal condition in which both agents spoke informally, and (3) a mixed condition in which the teacher agent spoke formally, whereas the student agent spoke informally. Result showed that the agents’ informal discourse yielded higher performance, but elicited higher report of text difficulty and mind wandering. This discourse also caused longer response time and lower arousal. The implications are discussed.
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References
Graesser, A.C., McNamara, D.S., Cai, Z., Conley, M., Li, H., Pennebaker, J.: Coh-Metrix measures text characteristics at multiple levels of language and discourse. Elem. School J. 115, 210–229 (2014). doi:10.1086/678293
Li, H., Graesser, A.C., Conley, M., Cai, Z., Pavlik, P., Pennebaker, J.W.: A new measure of text formality: an analysis of discourse of Mao Zedong. Discourse Process. 53, 205–232 (2016). doi:10.1080/0163853X.2015.1010191
Li, H., Graesser, A.C., Cai, Z.: Comparing two measures of formality. In: Boonthum-Denecke, C., Youngblood, G.M. (eds.) 2013 FlAIRS, pp. 220–225. AAAI Press, Palo Alto (2013)
Denton, P.: The power of our words: teacher language that helps children learn. Center for Responsive Schools Inc., Turners Falls (2013)
Gámez, P.B., Lesaux, N.K.: The relation between exposure to sophisticated and complex language and early—adolescent English—only and language minority learners’ vocabulary. Child Dev. 83, 1316–1331 (2012). doi:10.1111/j.1467-8624.2012.01776.x
Gámez, P.B., Lesaux, N.K.: Early-adolescents’ reading comprehension and the stability of the middle school classroom-language environment. Dev. Psychol. 51, 447–458 (2015). doi:10.1037/a0038868
Moreno, R., Mayer, R.E.: Personalized messages that promote science learning in virtual environments. J. Educ. Psychol. 96, 165–173 (2004). doi:10.1037/0022-0663.96.1.165
Mayer, R.E.: Principles based on social cues: personalization, voice, and presence principles. In: Mayer, R.E. (ed.) Cambridge Handbook of Multimedia Learning, pp. 201–212. Cambridge University Press, New York (2005)
Snow, C.E., Uccelli, P.: The challenge of academic language. In: Olson, D.R., Torrance, N. (eds.) The Cambridge Handbook of Literacy, Cambridge, New York, pp. 112–133 (2009)
Graesser, A.C., Chipman, P., Haynes, B.C., Olney, A.: AutoTutor: an intelligent tutoring system with mixed-initiative dialogue. IEEE Trans. Edu. 48, 612–618 (2005). doi:10.1109/TE.2005.856149
Graesser, A.C., Li, H., Forsyth, C.: Learning by communicating in natural language with conversational agents. Curr. Dir. Psychol. Sci. 23, 374–380 (2014). doi:10.1177/0963721414540680
Chi, M.T.H., Roy, M., Hausmann, R.G.M.: Observing tutoring collaboratively: Insights about tutoring effectiveness from vicarious learning. Cog. Sci. 32, 301–341 (2008). doi:10.1080/03640210701863396
Fredricks, J.A., Blumenfeld, P.C., Paris, A.H.: School engagement: potential of the concept, state of the evidence. Rev. Educ. Res. 74, 59–109 (2004). doi:10.3102/00346543074001059
Fulmer, S.M., D’Mello, S.K., Strain, A., Graesser, A.C.: Interest-based text preference moderates the effect of text difficulty on engagement and learning. Contemp. Educ. Psychol. 41, 98–110 (2015). doi:10.1016/j.cedpsych.2014.12.005
Feng, S., D’Mello, S., Graesser, A.C.: Mind wandering while reading easy and difficult texts. Psychon. B. Rev. 20, 586–592 (2013). doi:10.3758/s13423-012-0367-y
Smallwood, J.M., Schooler, J.W.: The restless mind. Psychol. Bull. 132, 946–958 (2006). doi:10.1037/0033-2909.132.6.946
McVay, J.C., Kane, M.J.: Does mind wandering reflect executive function or executive failure? Comment on Smallwood and Schooler (2006) and Watkins (2008). Psychol. Bull. 136, 188–197 (2010). doi:10.1037/a0018298
Buhrmester, M., Kwang, T., Gosling, S.D.: Amazon’s Mechanical Turk a new source of inexpensive, yet high-quality, data? Perspect. Psychol. Sci. 6, 3–5 (2011). doi:10.1177/1745691610393980
Li, H., Cai, Z., Graesser, A.C.: How good is popularity? Summary grading in crowdsourcing. In: Barnes, T., Chi, M., Feng, M. (eds.) 2016 EDM, pp. 430–435. EDM Society, Raleigh (2016)
Meyer, B.J.F.: Text coherence and readability. Top. Lang. Disord. 23, 204–224 (2003). doi:10.1097/00011363-200307000-00007
Graesser, A.C., Keshtkar, F., Li, H.: The role of natural language and discourse processing in advanced tutoring systems. In: Holtgraves, T. (ed.) The Oxford handbooks of language and social psychology, Oxford, New York, pp. 491–509 (2014)
Li, H., Cheng, Q., Yu, Q., Graesser, A.C.: The role of peer agent’s learning competency in trialogue-based reading intelligent systems. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds.) AIED 2015. LNCS (LNAI), vol. 9112, pp. 694–697. Springer, Cham (2015). doi:10.1007/978-3-319-19773-9_94
Friend, R.: Effects of strategy instruction on summary writing of college students. Contemp. Edu. Psychol. 26, 3–24 (2001). doi:10.1006/ceps.1999.1022
Russell, J.A., Weiss, A., Mendelsohn, G.A.: Affect Grid: a single-item scale of pleasure and arousal. J. Pers. Soc. Psychol. 57, 493–502 (1989). doi:10.1037/0022-3514.57.3.493
Smallwood, J., Davies, J.B., Heim, D., Finnigan, F., Sudberry, M., O’Connor, R., Obonsawin, M.: Subjective experience and the attentional lapse: task engagement and disengagement during sustained attention. Conscious. Cogn. 13, 657–690 (2004). doi:10.1016/j.concog.2004.06.003
Smallwood, J.M., Baracaia, S.F., Lowe, M., Obonsawin, M.: Task unrelated thought whilst encoding information. Conscious. Cogn. 12, 452–484 (2003). doi:10.1016/S1053-8100(03)00018-7
Clifford, M.: Students need challenge, not easy success. Edu. Leadership 48, 22–26 (1990)
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This work was funded by the Institute of Education Sciences (Grant No. R305C120001). Any opinions are those of the authors and do not necessarily reflect the views of these funding agencies, cooperating institutions, or other individuals.
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Li, H., Graesser, A. (2017). Impact of Pedagogical Agents’ Conversational Formality on Learning and Engagement. In: André, E., Baker, R., Hu, X., Rodrigo, M., du Boulay, B. (eds) Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science(), vol 10331. Springer, Cham. https://doi.org/10.1007/978-3-319-61425-0_16
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