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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4541))

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Abstract

It is common for nowadays family with two working parents. Children therefore has more unsupervised time than before. Being alone, they are more likely to avoid hard subjects, like math. They could also improperly spend their time and energy. Internet addiction is one of the examples. This research designates software agent, with a life like interface, as a learning buddy to accompany kids and school age children, guide their behaviour and attract them to what they need to learn, even it is abstract and hard, like math. The learning buddy appears as a cartoon character that live in its little master’s real life, with an internal cogntive model driving its behavior. The software agent model of the learning buddy adopted a layered architecture that allows the learning buddy to have different cartoon character interfaces, cognitive models and learning content/subjects easily and independently. A pilot system has been built and four sessions of experiment have been conducted. It has very successfully attracted a great interests of school age children. Every students in the experiment has finished nearly 60 math exercises without feeling bored.

This research is supported by the Victoria University New Research Direction Grant.

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References

  1. Autran, G., Li, X.N.: A practical approach to agent migration protocol. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 337–340 (2004)

    Google Scholar 

  2. Bennett-Astesano, S.: Forget Balance, Today’s Parents Are Mixing Work and Family. The Working Family in 2006 Last visited (January 2007) http://www.parenthood.com/articles.html?article_id=9408

  3. Danziger, S., Waldfogel J.: Investing in Children: What Do We Know? What Should We Do? The ESRC Research Centre for Analysis of Social Exclusion (2000)

    Google Scholar 

  4. Kinsella, K., Phillips, D.R.: Global Aging: The Challenge of Success. Population Bulletin 60(1) (2005)

    Google Scholar 

  5. Lester, J.C. et al.: The persona effect: affective impact of animated pedagogical agents. the SIGCHI conference on Human factors in computing systems, pp. 359–366 (1997)

    Google Scholar 

  6. Miao, C.Y., et al.: A Dynamic Inference Model for Intelligent Agent. International Journal of Software Engineering and Knowledge Engineering 11(5), 509–528 (2001)

    Article  MathSciNet  Google Scholar 

  7. Miao, C.Y., et al.: Agent that Models, Reasons and Makes Decisions. Knowledge Based Systems. 15(3), 203–211 (2002)

    Article  Google Scholar 

  8. Miao, Y. et al.: The Equivalence of Cognitive Map, Fuzzy Cognitive Map and Multi Value Fuzzy Cognitive Map. IEEE International Conference on Fuzzy Systems, pp. 1872–1878 (2006)

    Google Scholar 

  9. Microsoft Agent. last visited (January 2007) http://www.microsoft.com/msagent/default.asp

  10. Mishell, L., Bernstein, J., Allegretto, S.: The State of Working America 2004-2005. ILR Press (2005)

    Google Scholar 

  11. Raytheon: MathMovesU Survey Highlights (2005) last visited (January 2007) https://www.mathmovesu.com/BTS/research.htm

  12. Rickel, J., et al.: Toward a new generation of virtual humans for interactive experiences. IEEE Intelligent Systems and Their Applications, pp. 32–38 (2002)

    Google Scholar 

  13. Shen, Z.Q., et al.: Goal autonomous agent architecture. 28th Annual International Conference on Computer Software and Applications. 2, 45–46 (2004)

    Article  Google Scholar 

  14. Texas Instruments: National Math Month Survey Finds Teens Lack Math Requirements for Hottest Careers (2006) Last visited (Janaury 2007) http://education.ti.com/educationportal /sites/US/nonProductSingle/about_press_release_news78.html

  15. Miao, Y., Liu, Z.Q., Siew, C.K., Miao, C.Y.: Dynamic Cognitive Net-an Extension of Fuzzy Cognitive Map. IEEE Transaction on Fuzzy Systems 9(5), 760–770 (2001)

    Article  Google Scholar 

  16. Young, S.C., Liz, R.: Policy and Power: The Impact of the Internet on the Younger Generation in South Korea. Social Policy and Society,Cambridge University Press, vol. 5, pp. 421–429 (2006)

    Google Scholar 

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Takeshi Okadome Tatsuya Yamazaki Mounir Makhtari

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© 2007 Springer Berlin Heidelberg

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Miao, Y. (2007). Smart Learning Buddy. In: Okadome, T., Yamazaki, T., Makhtari, M. (eds) Pervasive Computing for Quality of Life Enhancement. ICOST 2007. Lecture Notes in Computer Science, vol 4541. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73035-4_16

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  • DOI: https://doi.org/10.1007/978-3-540-73035-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73034-7

  • Online ISBN: 978-3-540-73035-4

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