Customization of Emotional Regulation According to the Personality of Students in Intelligent Tutoring Systems
DOI:
https://doi.org/10.5753/rbie.2021.29.0.48Keywords:
Intelligent Tutoring Systems, Frustration Regulation, Emotional RegulationAbstract
Emotions influence cognitive processes and are essential during learning. Some emotions can negatively affect learning, as frustration and boredom; others, such as engagement, can positively affect. On the other hand, confusion can influence either negatively or positively. When students experience confusion, they may feel encouraged to seek their knowledge through focus and attention on the activity, resulting in a positive impact on learning. However, when they feel it for an extended period and cannot deal with it, the confusion can generate a cognitive overload on the students and increases the chances of the student to reject the subject that is being learned. Besides, the students’ personality and their previous knowledge on the subject influence the time they can deal with confusion. Therefore, the confusion must be regulated to maximize learning, promoting a more significant engagement and preventing the abandonment of the exercise or content. The problem investigated by this work is how and when an Intelligent Tutoring System could support the regulation of confusion when felt for an extended period by a student. For this purpose, we developed an algorithm to support the choice of multimedia elements (video, figure, or text) to regulate confusion. The choice of the elements considers the student’s personality traits and previous knowledge on the subject. To evaluate our algorithm, we have conducted an experiment with students (N=111) from elementary and higher education from two schools and a college for three months. We analyzed the algorithm’s capacity to influence the regulation of confusion during first-degree equations solving in an Intelligent Tutoring System (PAT2Math) in subjects with extroversion and neuroticism personalities. The results show that the students who used the PAT2Math with our confusion regulation algorithm (experimental group) made fewer mistakes and solved the exercises more quickly than students who have not received any assistance regarding confusion regulation. The results indicate that the system would be regulating the confusion or negative emotions that happens after it.
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References
Allport, G. W., & Leite, D. M. (1966). Personalidade: padrões e desenvolvimento. Editora Herder. [GS Search]
Arguedas, M., Daradoumis, T., & Xhafa, F. (2016). Analyzing the effects of emotion managementon time and self-management in computer-based learning. Computers in Human Behavior,63, 517–529. doi: 10.1016/j.chb.2016.05.068. [GS Search]
Baker, R. S. J. D., Corbett, A. T., Koedinger, K. R., & Wagner, A. (2004). Off-Task Behavior in the Cognitive Tutor Classroom: When Students Game The System. In Acm chi 2004: Computer-human interaction (pp. 383–390). doi: 10.1145/985692.985741. [GS Search]
Bakhtiar, A., Webster, E. A., & Hadwin, A. F. (2018). Regulation and socio-emotional interactions in a positive and a negative group climate. Metacognition and Learning, 13(1), 57–90. doi: 10.1007/s11409-017-9178-x. [GS Search]
Barbosa, A. (2009). Modelo hierárquico de fobias infanto-juvenis: testagem e relação com osestilos maternos.Tese de Doutorado. Tese (Doutorado em Ciência da Computação). [GS Search]
Bosse, T., Gerritsen, C., De Man, J., & Treur, J. (2012). Measuring stress-reducing effects of virtual training based on subjective response. In International conference on neural information processing (pp. 322–330). doi: 10.1007/978-3-642-34475-639. [GS Search]
Cattell, R. B., & P. Cattell, H. E.(1995). Personality structure and the new fifth edition of the 16pf. Educational and Psychological Measurement,55(6), 926–937. doi: 10.1177/0013164495055006002. [GS Search]
Craig, S., Graesser, A., Sullins, J., & Gholson, B. (2004). Affect and learning: an exploratory look into the role of affect in learning with autotutor. Journal of educational media, 29(3), 241–250. doi: 10.1080/1358165042000283101. [GS Search]
Desseilles, M.(2016).Perspectives on games, computers, and mental health: Questions about paradoxes, evidences, and challenges. Frontiers in psychiatry, 7, 122. doi: 10.3389/fpsyt.2016.00122. [GS Search]
D’Mello, S., & Calvo, R. A. (2013). Beyond the basic emotions: what should affective computing compute? In Chi ’13 extended abstracts on human factors in computing systems on (p. 2287). New York, New York, USA: ACM Press. doi: 10.1145/2468356.2468751. [GS Search]
D’Mello, S., Graesser, A., et al. (2007). Monitoring affective trajectories during complex learning. In Proceedings of the annual meeting of the cognitive science society (Vol. 29). [GS Search]
D’Mello, S., Person, N. K., & Lehman, B. (2009). Antecedent-consequent relationships and cyclical patterns between affective states and problem solving outcomes. In Aied (pp. 57–64). NLD: IOS Press. [GS Search]
D’Mello, S., Picard, R. W., & Graesser, A. (2007). Toward an affect-sensitive autotutor. IEEE Intelligent Systems,22(4). doi: 10.1109/MIS.2007.79. [GS Search]
D’Mello, S., Lehman, B., Pekrun, R., & Graesser, A.(2014). Confusion can be beneficial for learning. Learning and Instruction,29, 153 - 170. doi: 10.1016/j.learninstruc.2012.05.003. [GS Search]
Estrada, C. A., Isen, A. M., & Young, M. J. (1994). Positive affect improves creative problem solving and influences reported source of practice satisfaction in physicians. Motivation andemotion, 18(4), 285–299. doi: 10.1007/BF02856470. [GS Search]
Gaggioli, A., Raspelli, S., Grassi, A., Pallavicini, F., Cipresso, P., Wiederhold, B. K., & Riva, G.(2011). Ubiquitous health in practice: the interreality paradigm. In Mmvr (pp. 185–191). [GS Search]
Graesser, A. C., Chipman, P., Haynes, B. C., & Olney, A. (2005). AutoTutor: An intelligent tutoring system with mixed-initiative dialogue. IEEE Transactions on Education, 48(4), 612–618. doi: 10.1109/TE.2005.856149. [GS Search]
Greenleaf, R. (2002). The adolescent brain: Still ready to learn. Principal Leadership, 2(8),24–28. [GS Search]
Gross, J. J. (1998). Antecedent-and response-focused emotion regulation: divergent consequencesfor experience, expression, and physiology. Journal of personality and social psychology, 74(1), 224. doi: 10.1037/0022-3514.74.1.224. [GS Search]
Jaques, P. A., Seffrin, H., Rubi, G., de Morais, F., Ghilardi, C., Bittencourt, I. I., & Isotani, S. (2013). Rule-based expert systems to support step-by-step guidance in algebraic problem solving: The case of the tutor pat2math. Expert Systems with Applications, 40(14), 5456–5465. doi: 10.1016/j.eswa.2013.04.004. [GS Search]
Kabat-Zinn, J., Wheeler, E., Light, T., Skillings, A., Scharf, M. J., Cropley, T. G., Bernhard,J. D. (1998). Influence of a mindfulness meditation-based stress reduction interventionon rates of skin clearing in patients with moderate to severe psoriasis undergoing phototherapy (uvb) and photochemotherapy (puva). Psychosomatic medicine, 60(5), 625–632. [GS Search]
Lane, H. C. (2006). Intelligent tutoring systems: Prospects for guided practice and efficient learning. Institute for Creative Technologies. University of Southern California, 11. [GS Search]
Lazarus, R. S.(1993). From psychological stress to the emotions: A history of changing outlooks. Annual review of psychology, 44(1), 1–22. doi: 10.1146/annurev.ps.44.020193.000245. [GS Search]
Lehman, B., D’Mello, S., Strain, A., Mills, C., Gross, M., Dobbins, A., Graesser, A.(2013). Inducing and tracking confusion with contradictions during complex learning. International Journal of Artificial Intelligence in Education, 22(1-2), 85–105. doi: 10.3233/JAI-130025. [GS Search]
Linnenbrink, E. A., & Pintrich, P. R. (2000). Multiple pathways to learning and achievement: The role of goal orientation in fostering adaptive motivation, affect, and cognition. Intrinsic and extrinsic motivation: The search for optimal motivation and performance, 195–227. doi: 10.1016/B978-012619070-0/50030-1. [GS Search]
Mayer, R. E.(2003).The promise of multimedia learning: using the same instructional design methods across different media. Learning and instruction,13(2), 125–139. doi: 10.1016/S0959-4752(02)00016-6. [GS Search]
McCrae, R. R., & John, O. P.(1992). An introduction to the five-factor model and its applications. Journal of Personality,60(2), 175–215. doi: 10.1111/j.1467-6494.1992.tb00970.x. [GS Search]
Nararro-Haro, M. V., Hoffman, H. G., Garcia-Palacios, A., Sampaio, M., Alhalabi, W., Hall, K.,& Linehan, M. (2016). The use of virtual reality to facilitate mindfulness skills training indialectical behavioral therapy for borderline personality disorder: a case study. Frontiers in psychology,7, 1573. doi: 10.3389/fpsyg.2016.01573. [GS Search]
Nielsen, J. (1995). 10 usability heuristics for user interface design. Nielsen Norman Group,1(1). [GS Search]
Nunes, T. M., Jaques, P. A., Pós-graduação, P. D., & Aplicada, C. (2013, nov). Analisando a influência da presença de um Agente Pedagógico Animado em relação ao Gaming The System.In M. C. C. Baranauskas, R. Bonacin, M. A. F. Borges, & C. G. da Silva(Eds.), Simpósio brasileiro de informática na educação - cbie(pp. 758–767). SBC. doi: 10.5753/CBIE.SBIE.2013.758. [GS Search]
Oxford, R. L., & Bolaños-Sánchez, D. (2016). A tale of two learners: Discovering mentoring, motivation, emotions, engagement, and perseverance. In New directions in language learning psychology (pp. 113–134). Springer. doi: 10.1007/978-3-319-23491-58. [GS Search]
Pallavicini, F., Gaggioli, A., Raspelli, S., Cipresso, P., Serino, S., Vigna, C., . others (2013).Interreality for the management and training of psychological stress: study protocol for arandomized controlled trial.Trials, 14 (1), 191. doi: 10.1186/1745-6215-14-191. [GS Search]
Pessoa, L.(2008). On the relationship between emotion and cognition. Nature reviews neuroscience,9(2), 148. doi: 10.1038/nrn2317. [GS Search]
Reis, H., Alvares, D., Jaques, P., & Isotani, S. (2018). Analysis of permanence time in emotional states: A case study using educational software. In International conference on intelligent tutoring systems (pp. 180–190). doi: 10.1007/978-3-319-91464-018. [GS Search]
Reis, H., Alvares, D., Jaques, P., & Isotani, S. (in press). A proposal of model of emotional regulation in intelligent learning environments.
Reis, H., Jaques, P. A., & Isotani, S. (2018, sep). Sistemas Tutores Inteligentes que Detectam asEmoções dos Estudantes: um Mapeamento Sistemático. Revista Brasileira de Informáticana Educação, 26(3), 76. doi: 10.5753/rbie.2018.26.03.76. [GS Search]
Rodrigo, M. M. T., Baker, R. S., & Nabos, J. Q. (2010). The relationships between sequences of affective states and learner achievement. In Proceedings of the 18th international conference on computers in education (pp. 56–60). [GS Search]
Rozin, P., & Cohen, A. B. (2003). Reply to commentaries: Confusion infusions, suggestives,correctives, and other medicines. American Psychological Association, 3(1), 92–96. doi: 10.1037/1528-3542.3.1.92. [GS Search]
Scherer, K. R. (2005). What are emotions? and how can they be measured? Social Science Information, 44(4), 695-729. doi: 10.1177/0539018405058216. [GS Search]
Schutz, P. A., & Lanehart, S. L. (2002). Introduction: Emotions in education. Educational Psychologist, 37(2), 67–68. [GS Search]
Seffrin, H., Bittencourt, I. I., Isotani, S., & Jaques, P. A.(2016). Modelling students’ algebraic knowledge with dynamic bayesian networks. In Advanced learning technologies (icalt), 2016 ieee 16th international conference on (pp. 44–48). doi: 10.1109/ICALT.2016.96. [GS Search]
Sutton, R. E., & Wheatley, K. F. (2003). Teachers’ emotions and teaching: A review of the literature and directions for future research. Educational psychology review,15(4), 327–358. doi: 10.1023/A:1026131715856. [GS Search]
Sweller, J.(1994, jan). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295–312. doi: 10.1016/0959-4752(94)90003-5. [GS Search]
Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019, jan). Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 10(3), 251–296. doi: 10.1007/s10648-019-09465-5. [GS Search]
Thompson, R. A. (1991). Emotional regulation and emotional development. Educational Psychology Review, 3(4), 269–307. doi: 10.1007/BF01319934. [GS Search]
Tian, F., Gao, P., Li, L., Zhang, W., Liang, H., Qian, Y., & Zhao, R. (2014). Recognizing and regulating e-learners’ emotions based on interactive chinese texts in e-learning systems. Knowledge-Based Systems, 55, 148–164. doi: 10.1016/j.knosys.2013.10.019. [GS Search]
Xu, J., Du, J., & Fan, X. (2013). Individual and group-level factors for students’ emotion management in online collaborative groupwork. The internet and higher education, 19, 1–9. doi: 10.1016/j.iheduc.2013.03.001. [GS Search]
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