Skip to main content
SpringerLink
Log in

The Development of an Affective Tutoring System for Japanese Language Learners

  • Conference paper
  • First Online:
Emerging Technologies for Education (SETE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10676))

Included in the following conference series:

Abstract

In this time of internationalization, learning a second language is now a mainstream trend, but, learning a new language can be something frustrating and annoying for most people. This research applied Affective Computing into Intelligent Tutoring System in order to make learning fun and interesting. The system will be set up in cloud drives (cloud storage sites), so the learner can avoid the time and space limitation, providing them an adaptive learning environment. Additionally, we will also be discovering the difference between the learners with different learning style, and we will also be using Emotional Recognition Method to understand the learner’s emotion while learning in order to promote learner’s learning efficiency.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Anderson, J.R., Corbett, A.T., Koedinger, K.R., Pelletier, R.: Cognitive tutors: lessons learned. J. Learn. Sci. 4(2), 167–207 (1995)

    Article  Google Scholar 

  • Arnold, M.B.: Emotion and Personality. Columbia University Press, New York (1960)

    Google Scholar 

  • Asahara, M., Fukuoka, K., Azuma, A., Goh, C.L., Watanabe, Y., Matsumoto, Y., Tsuzuki, T.: Combination of machine learning methods for optimum Chinese word segmentation. In: Proceedings of 4th SIGHAN Workshop on Chinese Language Processing (2005)

    Google Scholar 

  • Bakeman, R.: Observing Interaction: An Introduction to Sequential Analysis. Cambridge University Press, Cambridge (1986)

    Google Scholar 

  • Barker, P.: Electronic books and libraries of the future. Electron. Libr. 10, 139–141 (1992)

    Article  Google Scholar 

  • Ben Ammar, M., Neji, M., Alimi, A.M., Gouardères, G.: The affective tutoring system. Expert Syst. Appl. 37(4), 3013–3023 (2010)

    Article  Google Scholar 

  • Ekman, P.: Facial expression and emotion. Am. Psychol. 48(4), 384 (1993)

    Article  Google Scholar 

  • Ekman, P., Friesen, W.: Facial action coding system: a technique for the measurement of facial movement. Consulting Psychologists, San Francisco (1978)

    Google Scholar 

  • Ekman, P., Friesen, W.V.: Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17(2), 124 (1971)

    Article  Google Scholar 

  • Eyharabide, V., Amandi, A.: Ontology-based user profile learning. Appl. Intell. 36(4), 857–869 (2012)

    Article  Google Scholar 

  • Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. Eng. Educ. 78(7), 674–681 (1988)

    Google Scholar 

  • Franklin, S., Graesser, A.: Is it an agent, or just a program?: a taxonomy for autonomous agents. In: Müller, J.P., Wooldridge, M.J., Jennings, N.R. (eds.) ATAL 1996. LNCS, vol. 1193, pp. 21–35. Springer, Heidelberg (1997). https://doi.org/10.1007/BFb0013570

    Chapter  Google Scholar 

  • Freedman, R., Ali, S.S., McRoy, S.: Links: what is an intelligent tutoring system? Intelligence 11(3), 15–16 (2000)

    Article  Google Scholar 

  • Frijda, N.H.: The Emotions. Cambridge University Press, Cambridge (1986)

    Google Scholar 

  • Goh, C.L., Asahara, M., Matsumoto, Y.: Chinese word segmentation by classification of characters. Comput. Linguist. Chin. Lang. Process. 10(3), 381–396 (2005)

    Google Scholar 

  • Graesser, A.C., Lu, S., Jackson, G.T., Mitchell, H.H., Ventura, M., Olney, A., Louwerse, M.M.: AutoTutor: a tutor with dialogue in natural language. Behav. Res. Methods Instrum. Comput. 36(2), 180–192 (2004)

    Article  Google Scholar 

  • Horwitz, E.K., Horwitz, M.B., Cope, J.: Foreign language classroom anxiety. Mod. Lang. J. 70(2), 125–132 (1986)

    Article  Google Scholar 

  • Hsu, S.C., Wong, W.K., Wu, S.H., Lin, M.D., Hsu, W.L.: A web-based diagnosis system with cognitive knowledge for problem posing. In: Proceeding of 10th Conference on Artificial Intelligence and Applications, Kaoshiung, Taiwan (2005)

    Google Scholar 

  • Kim, K.H., Bang, S.W., Kim, S.R.: Emotion recognition system using short-term monitoring of physiological signals. Med. Biol. Eng. Comput. 42(3), 419–427 (2004)

    Article  Google Scholar 

  • Kolb, D.A.: Learning Style Inventory Technical Manual. Mcber and Company, Boston (1976)

    Google Scholar 

  • Koo, D.M., Ju, S.H.: The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Comput. Hum. Behav. 26(3), 377–388 (2010)

    Article  Google Scholar 

  • Krashen, S.D.: Second Language Acquisition and Second Language Learning. Oxford University Press, Oxford (1981)

    Google Scholar 

  • Lin, H.C.K., Hsieh, M.C., Loh, L.C., Wang, C.H.: An emotion recognition mechanism based on the combination of mutual information and semantic clues. J. Ambient Intell. Humaniz. Comput. 3(1), 19–29 (2012). https://doi.org/10.1007/s12652-011-0086-7

    Article  Google Scholar 

  • Mao, X., Li, Z.: Implementing emotion-based user-aware e-learning. In: CHI 2009 Extended Abstracts on Human Factors in Computing Systems, pp. 3787–3792. ACM (2009)

    Google Scholar 

  • Mao, X., Li, Z.: Agent based affective tutoring systems: a pilot study. Comput. Educ. 55(1), 202–208 (2010)

    Article  Google Scholar 

  • Metri, P., Ghorpade, J., Butalia, A.: Facial emotion recognition using context based multimodal approach. Int. J. Emerg. Sci. 2(1), 171 (2012)

    Google Scholar 

  • Mitsuyoshi, S., Ren, F., Tanaka, Y., Kuroiwa, S.: Non-verbal voice emotion analysis system. Int. J. Innov. Comput. Inf. Control 2(4), 819–830 (2006)

    Google Scholar 

  • Murray, I.R., Arnott, J.L.: Toward the simulation of emotion in synthetic speech: a review of the literature on human vocal emotion. J. Acoust. Soc. Am. 93(2), 1097–1108 (1993)

    Article  Google Scholar 

  • Murray, I.R., Arnott, J.L.: Applying an analysis of acted vocal emotions to improve the simulation of synthetic speech. Comput. Speech Lang. 22(2), 107–129 (2008)

    Article  Google Scholar 

  • Nkambou, R., Bourdeau, J.: Advances in Intelligent Tutoring Systems. Springer, Heidelberg (2010)

    Book  MATH  Google Scholar 

  • Norman, D.A.: The Design of Future Things. Basic Books, New York (2007). https://doi.org/10.1007/978-3-642-14363-2

    Google Scholar 

  • Nwana, H.S.: Intelligent tutoring systems: an overview. Artif. Intell. Rev. 4(4), 251–277 (1990)

    Article  Google Scholar 

  • Ortony, A., Turner, T.J.: What’s basic about basic emotions? Psychol. Rev. 97(3), 315 (1990)

    Article  Google Scholar 

  • Picard, R.: Affective Computing. MIT Press, Cambridge (1997)

    Book  Google Scholar 

  • Plutchik, R.: The Emotions. University Press of America, Washington, DC (1991)

    Google Scholar 

  • Reid, J.M.: Perceptual learning style preference questionnaire. In: Learning Styles in the ESL/EFL Classroom, pp. 202–204 (1984)

    Google Scholar 

  • Ren, F.: Affective information processing and recognizing human emotion. Electron. Notes Theoret. Comput. Sci. 225, 39–50 (2009)

    Article  Google Scholar 

  • Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161 (1980)

    Article  Google Scholar 

  • Sarrafzadeh, A., Chao, F., Dadgostar, F., Alexander, S., Messom, C.: Frown gives game away: affect sensitive tutoring systems for elementary mathematics. In: International Conference on Systems, Man and Cybernetics (2004)

    Google Scholar 

  • Seki, Y., Evans, D.K., Ku, L.W., Chen, H.H., Kando, N., Lin, C.Y.: Overview of opinion analysis pilot task at NTCIR-6. In: Proceedings of 6th NTCIR Workshop Meeting on Evaluation of Information Access Technologies, pp. 265–278 (2007)

    Google Scholar 

  • Shaver, P., Schwartz, J., Kirson, D., O’Connor, C.: Emotion knowledge: further exploration of a prototype approach. J. Pers. Soc. Psychol. 52(6), 1061–1086 (1987)

    Article  Google Scholar 

  • Goh, T.-T., Huang, Y.-P.: Monitoring youth depression risk in Web 2.0. J. Inf. Knowl. Manag. Syst. 39(3), 192–202 (2009)

    Google Scholar 

  • Wong, W.K., Hsu, S.C., Wu, S.H., Lee, C.W., Hsu, W.L.: LIM-G: learner-initiating instruction model based on cognitive knowledge for geometry word problem comprehension. Comput. Educ. 48(4), 582–601 (2007)

    Article  Google Scholar 

  • Xue, N.: Chinese word segmentation as character tagging. Comput. Linguist. Chin. Lang. Process. 8(1), 29–48 (2003)

    MathSciNet  Google Scholar 

  • Yan, J., Bracewell, D.B., Ren, F., Kuroiwa, S.: The creation of a chinese emotion ontology based on HowNet. Eng. Lett. 16(1), 166–171 (2008)

    Google Scholar 

  • Yang, Y.F., Chao, C.J., Lin, Y.L., Chang, C.K.: Usability testing of Japanese captions segmentation system to scaffold beginners to comprehend Japanese videos. Int. J. Cyber Soc. Educ. 6(1), 1–14 (2013)

    Article  Google Scholar 

  • Zhang, H.P., Yu, H.K., Xiong, D.Y., Liu, Q.: HHMM-based Chinese lexical analyzer ICTCLAS. In: Proceedings of 2nd SIGHAN Workshop on Chinese Language Processing. vol. 17, pp. 184–187. Association for Computational Linguistics (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National University of Tainan, Tainan, Taiwan

    Yu Chun Ma & Hao-Chiang-Koong Lin

Authors
  1. Yu Chun Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hao-Chiang-Koong Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yu Chun Ma .

Editor information

Editors and Affiliations

  1. National Taichung University of Science and Technology, Taichung City, Taiwan

    Tien-Chi Huang

  2. City University of Hong Kong, Kowloon, Hong Kong

    Rynson Lau

  3. Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan

    Yueh-Min Huang

  4. University of Caen Normandie, Caen, France

    Marc Spaniol

  5. City University of Hong Kong, Kowloon, Hong Kong

    Chun-Hung Yuen

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ma, Y.C., Lin, HCK. (2017). The Development of an Affective Tutoring System for Japanese Language Learners. In: Huang, TC., Lau, R., Huang, YM., Spaniol, M., Yuen, CH. (eds) Emerging Technologies for Education. SETE 2017. Lecture Notes in Computer Science(), vol 10676. Springer, Cham. https://doi.org/10.1007/978-3-319-71084-6_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-71084-6_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71083-9

  • Online ISBN: 978-3-319-71084-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation