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An Affective Learning Ontology for Educational Systems

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New Advances in Information Systems and Technologies

Abstract

In recent years, education is characterized by promoting independent study through computational tools, such as Intelligent Tutoring Systems. It is important these educational systems consider affective aspects because it improves the learning process. However, the literature reports that there is no an affective model to guide the design of affective educational systems. For that reason, this work introduces a novel affective learning ontology that examines student, tutor and dialogue issues. Also, this paper presents an assessment of which elements of our ontology are taken into account in education systems such as Intelligent Tutoring Systems. We believe the findings from this research will serve as a useful reference for the design of educational systems such as Intelligent Tutoring Systems.

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References

  1. Alepis, E., Virvou, M.: Automatic generation of emotions in tutoring agents for affective e-learning in medical education. Expert Systems with Applications 38(8), 9840--9847 (2011)

    Google Scholar 

  2. Ammar, M.B., Neji, M.: The affective tutoring system. Expert Systems with … 37(4), 3013–3023 (Apr 2010)

    Google Scholar 

  3. Angelaki, C., Mavroidis, I.: Communication and Social Presence: The Impact on Adult Learners’ Emotions in Distance Learning. European Journal of Open, Distance and E-learning 16(1), 78--93 (2013)

    Google Scholar 

  4. Arguedas, M., Xhafa, F., Daradoumis, T.: An Ontology about Emotion Awareness and Affective Feedback in Elearning. 2015 International Conference on Intelligent Networking and Collaborative Systems pp. 156–163 (2015), http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7312065

  5. Armour, W.: Emotional intelligence, student engagement, teaching practice, employability, ethics curriculum. Investigation in university teaching and learning 8(2004), 4--10 (2012)

    Google Scholar 

  6. Arroyo, I., Woolf, B.P., Burelson, W., Muldner, K., Rai, D., Tai, M.: A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect. International Journal of Artificial Intelligence in Education 24(4), 387--426 (2014)

    Google Scholar 

  7. Balakrishnan, A.: On Modeling the Affective Effect on Learning. Multi-disciplinary Trends in Artificial Intelligence pp. 225–235 (2011), http://link.springer.com/chapter/10.1007/978-3-642-25725-4_20

  8. Banda, N., Robinson, P.: Multimodal Affect Recognition in Intelligent Tutoring Systems. In: Fourth International Conference, ACII 2011. pp. 200--207. Springer Link, Memphis, TN, USA (2011)

    Google Scholar 

  9. Barón-Estrada, M.L., Zatarain-Cabada, R., Zatarain-Cabada, R., Barrón-Estrada, A.: Design and Implementation of an Affective ITS. Research in Computing Science 56(August), 60--68 (2012)

    Google Scholar 

  10. Baylor, A.L., Kim, S.: Designing nonverbal communication for pedagogical agents: When less is more. Computers in Human Behavior 25(2), 450--457 (2009)

    Google Scholar 

  11. Bloom, B.: Taxonomy of Educational Objectives, Handbook I: The Cognitive Domain. Addison Wesley Publishing Company, 2nd editio edn. (1984)

    Google Scholar 

  12. Chen, J., Luo, N., Liu, Y., Liu, L., Zhang, K., Kolodziej, J.: A hybrid intelligence-aided approach to affect-sensitive e-learning. Journal of Computing (2014), http://link.springer.com/10.1007/s00607-014-0430-9

  13. D’Mello, S., Olney, A., Williams, C., Hays, P.: Gaze tutor: A gaze-reactive intelligent tutoring system. International Journal of human- … 70(5), 377–398 (May 2012)

    Google Scholar 

  14. D’Mello, S.K., Graesser, A.: Language and Discourse Are Powerful Signals of Student Emotions during Tutoring. IEEE Transactions on Learning Technologies 5(4), 304--317 (Oct 2012)

    Google Scholar 

  15. D’Mello, S.K., Graesser, A.: Multimodal semi-automated affect detection from conversational cues, gross body language, and facial features. User Modelling and User-Adapted Interaction 20(2), 147--187 (2010)

    Google Scholar 

  16. Duffy, M.C., Azevedo, R.: Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system. Computers in Human Behavior 52, 338--348 (2015)

    Google Scholar 

  17. Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering. Assessment SS-97-06, 33–40 (1997)

    Google Scholar 

  18. Ferreira, A., Atkinson, J.: Designing a feedback component of an intelligent tutoring system for foreign language. Knowledge-Based Systems 22(7), 496–501 (Oct 2009), http://www.sciencedirect.com/science/article/pii/S0950705109000070

    Google Scholar 

  19. Forbes-Riley, K., Litman, D.: Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor. Speech Communication 53(9-10), 1115–1136 (2011), http://www.sciencedirect.com/science/article/pii/S0167639311000318

    Google Scholar 

  20. Forbes-Riley, K., Litman, D.: Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor. Speech Communication 53(9-10), 1115--1136 (Nov 2011)

    Google Scholar 

  21. Garca, B.: Las Dimensiones Afectivas de La Docencia. Revista Digital Universitaria 10, 1--14 (2009)

    Google Scholar 

  22. Grafsgaard, J.F., Wiggins, J.B., Boyer, K.E., Wiebe, E.N., Lester, J.C.: Embodied affect in tutorial dialogue: Student gesture and posture. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7926 LNAI, 1–10 (2013)

    Google Scholar 

  23. Ibarra, L.M.: Aprende fácilmente con tus imágenes, sonidos y sensaciones. Garnik Ediciones, México, 6ta edn. (2011), www.garnik.com

  24. Jaques, N., Conati, C., Harley, J., Azevedo, R.: Predicting Affect from Gaze Data During Interaction with an Intelligent Tutoring System. In: 12th International Conference, ITS 2014. pp. 29--38. Springer Link, Honolulu, HI, USA (2014)

    Google Scholar 

  25. Juárez-Ramrez, R., Navarro-Almanza, R., Gomez-Tagle, Y., Licea, G., Huertas, C., Quinto, G.: Orchestrating an Adaptive Intelligent Tutoring System: Towards Integrating the User Profile for Learning Improvement. Procedia - Social and Behavioral Sciences 106, 1986--1999 (Dec 2013)

    Google Scholar 

  26. Kopp, K., Britt, M., Millis, K., Graesser, A.: Improving the efficiency of dialogue in tutoring. Learning and Instruction 22(5), 320--330 (Oct 2012)

    Google Scholar 

  27. Leontidis, M., Halatsis, C., Grogoriadou, M.: An Ontological Approach to Infer Students Emotions pp. 89–100 (2009)

    Google Scholar 

  28. Lin, H.C.K., Wu, C.H., Hsueh, Y.P.: The influence of using affective tutoring system in accounting remedial instruction on learning performance and usability. Computers in Human Behavior 41(0), 514--522 (Dec 2014)

    Google Scholar 

  29. Motola, R., Jaques, P., Axt, M., Vicari, R.: Architecture for animation of affective behaviors in pedagogical agents. Journal of the Brazilian Computer Society 15(4), 3--13 (2009)

    Google Scholar 

  30. Munoz, K., Noguez, J., Kevitt, P.M., Lunney, T., Neri, L.: Work in progress: Towards an emotional learning model for intelligent gaming. Frontiers in Education Conference (FIE), 2010 IEEE pp. T3G–1 –T3G–2 (2010)

    Google Scholar 

  31. Navarro, M.R.: Procesos cognitivos y aprendizaje significativo. Comunidad de Madrid Consejeria de Educación, Madrid, España (2008)

    Google Scholar 

  32. Neviarouskaya, A., Prendinger, H., Ishizuka, M.: User study on AffectIM, an avatar-based Instant Messaging system employing rule-based affect sensing from text. International Journal of Human Computer Studies 68(7), 432--450 (2010)

    Google Scholar 

  33. Pagano, C.M.: Los tutores en la educación a distancia . Un aporte teórico. Revista de Universidad y Sociedad del Conocimiento 4(2), 1–11 (2008)

    Google Scholar 

  34. Ray, A.: Biophysical Signal Based Emotion Detection For Technology Enabled Affective Learning. In: 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). pp. 1–6 (2015)

    Google Scholar 

  35. Rica, U.D.C., Pedro, S., Oca, M.D., Rica, C.: The Emotional Intelligence , its importance in the learning process. Educación 36(1), 1--24 (2012)

    Google Scholar 

  36. Tartir, S., Arpinar, I., Moore, M., Sheth, a., Aleman-Meza, B.: OntoQA: Metric-Based Ontology Quality Analysis. IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources pp. 45–53 (2005)

    Google Scholar 

  37. Theng, Y.L., Aung, P.: Investigating effects of avatars on primary school children’s affective responses to learning. Journal on Multimodal User Interfaces 5(1-2), 45--52 (2012)

    Google Scholar 

  38. Vanlehn, K., Burleson, W., Echeagaray, M.E.C., Christopherson, R., Sanchez, J.G., Hastings, J., Pontet, Y.H., Zhang, L.: The Affective Meta-Tutoring Project: How to motivate students to use effective meta-cognitive strategies. 19th International Conference on Computers in Education, Chiang Mai, Thailand pp. 1–3 (2011)

    Google Scholar 

  39. Woolf, B.P., Arroyo, I., Cooper, D., Burleson, W., Muldner, K.: Affective tutors: Automatic detection of and response to student emotion. Studies in Computational Intelligence 308(Shute 2008), 207–227 (2010)

    Google Scholar 

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Correspondence to Samantha Jimenez .

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Jimenez, S., Juarez-Ramirez, R., Castillo, V.H., Ramírez-Noriega, A. (2016). An Affective Learning Ontology for Educational Systems. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-31232-3_106

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  • DOI: https://doi.org/10.1007/978-3-319-31232-3_106

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