Skip to main content
SpringerLink
Log in

Artificial Intelligence Methods in Early Childhood Education

  • Chapter
Artificial Intelligence, Evolutionary Computing and Metaheuristics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 427))

Abstract

Educational technology constitutes an important aspect in modern education providing unique learning experiences to students and improving their learning. Technological resources (especially computers) have been integrated in education for decades. However, integration of educational technology in early childhood education is a more recent trend compared to the other levels of education. This fact creates the need to develop, apply and study application of resources and methodologies specifically addressed to young children. Artificial Intelligence approaches have been incorporated to educational technology resources providing improved interaction to learners. In this paper, Artificial Intelligence methods exploited in the context of early childhood educational technology are surveyed. The discussion mainly concerns computer-based learning systems incorporating intelligent methods (e.g., Intelligent Tutoring and Adaptive Educational Hypermedia Systems) and educational robots addressed to early childhood. To the best of the author’s knowledge, such issues have not been thoroughly discussed till now in literature.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aghlara, L., Tamjid, N.H.: The effect of digital games on Iranian children’s vocabulary retention in foreign language acquisition. Procedia – Social and Behavioral Sciences 29, 552–560 (2011)

    Article  Google Scholar 

  2. Agrawal, S.K., Chen, X., Ragonesi, C., Galloway, J.C.: Training toddlers seated on mobile robots to steer using force-feedback joystick. IEEE Transactions on Haptics (2012) (in press)

    Google Scholar 

  3. Agudo, J.E., Sanchez, H., Holguin, J.M., Tello, D.: Adaptive computer games for second language learning in early childhood. In: Proceedings of the 3rd International Online Conference on Second and Foreign Language Teaching and Research, pp. 167–180 (2007)

    Google Scholar 

  4. Agudo, J.E., Sánchez, H., Rico, M.: Adaptive Learning for Very Young Learners. In: Wade, V.P., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 393–397. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Apt, K.R., Wallace, M.G.: Constraint logic programming using ECLiPSe. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  6. Aroyo, L., Graesser, A., Johnson, L.: Guest editors’ introduction: Intelligent Educational Systems of the present and future. IEEE Intelligent Systems 22, 20–21 (2007)

    Google Scholar 

  7. Bartlett, B., Estivill-Castro, V., Seymon, S., Tourky, A.: Robots for pre-orientation and interaction of toddlers and preschoolers who are blind. In: Proceedings of the Australasian Conference on Robotics and Automation, paper 13. Australian Robotics and Automation Association (2003)

    Google Scholar 

  8. Brusilovsky, P.: Methods and techniques of Adaptive Hypermedia. User Modeling and User-Adapted Interaction 6, 87–129 (1996)

    Article  Google Scholar 

  9. Brusilovsky, P.: Adaptive Hypermedia. User Modeling and User-Adapted Interaction 11, 87–110 (2001)

    Article  MATH  Google Scholar 

  10. Brusilovsky, P., Peylo, C.: Adaptive and Intelligent Web-based educational systems. International Journal of Artificial Intelligence in Education 13, 156–169 (2003)

    Google Scholar 

  11. Cabada, R.Z., Estrada, M.L.B., García, C.A.R.: EDUCA: A Web 2.0 authoring tool for developing Adaptive and Intelligent Tutoring Systems using a Kohonen Network. Expert Systems with Applications 38, 9522–9529 (2011)

    Article  Google Scholar 

  12. Cheng, P., Zhao, K., Li, Y., Xu, W.: Application of Case Based Reasoning in plane geometry Intelligent Tutoring System. In: Proceedings of the International Conference on Electrical and Control Engineering, pp. 4369–4373. IEEE Press, New York (2011)

    Chapter  Google Scholar 

  13. Cooney, M.D., Becker-Asano, C., Kanda, T., Alissandrakis, A., Ishiguro, H.: Full-body gesture recognition using inertial sensors for playful interaction with small humanoid robot. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2276–2282. IEEE Press, New York (2010)

    Google Scholar 

  14. Crockett, K., Latham, A., Mclean, D., Bandar, Z., The, J.O.: On predicting learning styles in Conversational Intelligent Tutoring Systems using fuzzy classification trees. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 2481–2488. IEEE Press, New York (2011)

    Google Scholar 

  15. El-Moughny, N.M.: Assistive computing technology for learning to write Braille. Undergraduate Senior Thesis, Carnegie Mellon Qatar Campus (2008)

    Google Scholar 

  16. Espada, A.B.C., Garcia, M.R., Fuentes, A.C., Gomez, E.D.: Developing adaptive systems at early stages of children’s foreign language development. ReCALL 18, 45–62 (2006)

    Article  Google Scholar 

  17. Friedman-Hill, E.: Jess in action: Java rule-based systems. Manning Publications, Greenwich (2003)

    Google Scholar 

  18. Gennari, R., Mich, O.: E-Learning and Deaf Children: A Logic-Based Web Tool. In: Leung, H., Li, F., Lau, R., Li, Q. (eds.) ICWL 2007. LNCS, vol. 4823, pp. 312–319. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  19. Giullian, N., Ricks, D., Atherton, A., Colton, M., Goodrich, M., Brinton, B.: Detailed requirements for robots in autism therapy. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 2595–2602. IEEE Press, New York (2010)

    Google Scholar 

  20. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explorations Newsletter 11, 10–18 (2009)

    Article  Google Scholar 

  21. Hatzilygeroudis, I., Prentzas, J.: HYMES: A HYbrid Modular Expert System with efficient inference and explanation. In: Proceedings of the 8th Panhellenic Conference on Informatics, vol. 1, pp. 422–431 (2001)

    Google Scholar 

  22. Hatzilygeroudis, I., Prentzas, J.: Using a hybrid rule-based approach in developing an Intelligent Tutoring System with knowledge acquisition and update capabilities. Expert Systems with Applications 26, 477–492 (2004)

    Article  Google Scholar 

  23. Hatzilygeroudis, I., Prentzas, J.: Knowledge representation in Intelligent Educational Systems. In: Ma, Z. (ed.) Web-Based Intelligent E-Learning Systems: Technologies and Applications, pp. 175–192. Information Science Publishing, Hershey (2006)

    Google Scholar 

  24. Hatzilygeroudis, I., Koutsojannis, C., Papavlasopoulos, C., Prentzas, J.: Knowledge-based adaptive assessment in a Web-based Intelligent Educational System. In: Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, pp. 651–655. IEEE Press, New York (2006)

    Google Scholar 

  25. Hayes, M., Whitebread, D.: ICT in the early years (Learning and teaching with Information & Communications Technology). Open University Press, Maidenhead (2006)

    Google Scholar 

  26. Hyun, E., Yoon, H.: Characteristics of young children’s utilization of a robot during play time: a case study. In: Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, pp. 675–680. IEEE Press, New York (2009)

    Google Scholar 

  27. Hyun, E., Yoon, H., Son, S.: Relationships between user experiences and children’s perceptions of the education robot. In: Proceedings of the 5th ACM/IEEE International Conference on Human-Robot Interaction, pp. 199–200. IEEE Press, New York (2010)

    Google Scholar 

  28. Kawata, H., Takano, Y., Iwata, Y., Kanamaru, N., Shimokura, K., Fujita, Y.: Field trial of asynchronous communication using network-based interactive child watch system for the participation of parents in day-care activities. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2558–2563. IEEE Press, New York (2008)

    Google Scholar 

  29. Ketamo, H.: mLearning for kindergarten’s mathematics teaching. In: Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 167–168. IEEE Press, New York (2002)

    Chapter  Google Scholar 

  30. Ketamo, H.: Sharing behaviors in games. In: Proceedings of the 5th European Computing Conference, WSEAS, pp. 120–125 (2011)

    Google Scholar 

  31. Kim, C.G., Choi, M.-T., Noh, H.J., Kim, J., Lee, S., Cho, C., Kim, M.: The development of humanoid robot for human robot interaction. In: Proceedings of the 16th IEEE International Conference on Robot & Human Interactive Communication, pp. 625–630. IEEE Press, New York (2007)

    Google Scholar 

  32. Kim, Y.C., Kwon, H.T., Yoon, W.C., Kim, J.C.: Scenario exploration and implementation for a network-based entertainment robot. In: Proceedings of the 21st International Symposium on Human Factors in Telecommunication (2008)

    Google Scholar 

  33. Kim, Y.-D., Hong, J.-W., Kang, W.-S., Baek, S.-S., Lee, H.-S., An, J.: Design of Robot Assisted Observation System for Therapy and Education of Children with Autism. In: Ge, S.S., Li, H., Cabibihan, J.-J., Tan, Y.K. (eds.) ICSR 2010. LNCS (LNAI), vol. 6414, pp. 222–231. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  34. Ko, W.H., Lee, S.M., Nam, K.T., Shon, W.H., Ji, S.H.: Design of a personalized R-learning system for children. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3893–3898. IEEE Press, New York (2010)

    Google Scholar 

  35. Koutsojannis, C., Beligiannis, G., Hatzilygeroudis, I., Papavlasopoulos, C., Prentzas, J.: Using a hybrid AI approach for exercise difficulty level adaptation. International Journal of Continuing Engineering Education and Life Long Learning 17, 256–272 (2007)

    Article  Google Scholar 

  36. Lim, C.P., Khine, M.S.: Connecting schools to their communities: the South-East Asian experience. In: Zajda, J., Gibbs, D. (eds.) Comparative Information Technology, pp. 79–87. Springer, Heidelberg (2009)

    Google Scholar 

  37. Michaud, F., Letourneau, D., Lepage, P., Morin, Y., Gagnon, F., Giguere, P., Beaudry, E., Brosseau, Y., Cote, C., Duquette, A., Laplante, J.-F., Legault, M.-A., Moisan, P., Ponchon, A., Raievsky, C., Roux, M.-A., Salter, T., Valin, J.-M., Caron, S., Masson, P., Kabanza, F., Lauria, M.: A brochette of socially interactive robots. In: Proceedings of the AAAI 2005 Mobile Robot Program, pp. 1733–1734. AAAI Press, Menlo Park (2005)

    Google Scholar 

  38. Newhouse, C.P., Lane, J., Brown, C.: Reflecting on teaching practices using digital video representation in teacher education. Australian Journal of Teacher Education 32(3) (2007)

    Google Scholar 

  39. Oliveira, J., Gouyon, F., Reis, L.P.: Towards an interactive framework for robot dancing applications. In: Proceedings of the International Conference on Digital Arts, pp. 52–59 (2008)

    Google Scholar 

  40. Papanikolaou, K.A., Grigoriadou, M., Kornilakis, H., Magoulas, G.D.: Personalizing the interaction in a Web-based Educational Hypermedia System: The case of INSPIRE. User Modeling and User-Adapted Interaction 13, 213–267 (2003)

    Article  Google Scholar 

  41. Polson, M.C., Richardson, J.J.: Foundations of Intelligent Tutoring Systems. Lawrence Erlbaum Associates, Hillsdale (1988)

    Google Scholar 

  42. Prensky, M.: Digital game-based learning. Paragon House, St. Paul (2007)

    Google Scholar 

  43. Prentzas, J., Hatzilygeroudis, I.: Techniques, technologies and patents related to Intelligent Educational Systems. In: Magoulas, G.D. (ed.) E-Infrastructures and Technologies for Lifelong Learning: Next Generation Environments, pp. 1–28. Information Science Reference, Hershey (2011)

    Google Scholar 

  44. Prentzas, J., Hatzilygeroudis, I., Koutsojannis, K.: A Web-based ITS controlled by a hybrid expert System. In: Proceedings of the IEEE International Conference on Advanced Learning Technologies, pp. 239–240. IEEE Press, New York (2001)

    Chapter  Google Scholar 

  45. Prentzas, J., Hatzilygeroudis, I., Garofalakis, J.: A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 119–128. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  46. Prentzas, J., Theodosiou, T.: The role of Learning Management Systems in early childhood education. In: Kats, Y. (ed.) Upgrading, Maintaining and Securing Learning Management Systems: Advances and Developments. IGI Global, Hershey (in press, 2012)

    Google Scholar 

  47. Price, H. (ed.): The Really Useful Book of ICT in the Early Years. Routledge, New York (2009)

    Google Scholar 

  48. Roblyer, M.D., Doering, A.H.: Integrating educational technology into teaching (with MyEducationLab), 5th edn. Allyn & Bacon, Boston (2009)

    Google Scholar 

  49. Salter, T., Werry, I., Michaud, F.: Going into the wild in child-robot interaction studies: issues in social robotic development. Intelligent Service Robotics 1, 93–108 (2008)

    Article  Google Scholar 

  50. Sarvadevabhtla, R.K., Ng-Thow-Hing, V., Okita, S.: Extended duration human-robot interaction: tools and analysis. In: Proceedings of the 19th IEEE International Symposium on Robot and Human Interactive Communication, pp. 7–14. IEEE Press, New York (2010)

    Chapter  Google Scholar 

  51. Scassellati, B.: How social robots will help us to diagnose, treat, and understand autism. In: Thrun, S., Brooks, R., Durrant-Whyte, H. (eds.) Robotics Research, STAR, vol. 28, pp. 552–563. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  52. Shin, K.C., Kuppuswamy, N., Jung, H.C.: Network based service robot for education. In: Proceedings of the EU-Korea Conference on Science and Technology, pp. 307–313. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  53. Siraj-Blatchford, J., Siraj-Blatchford, I.: A guide for developing the ICT curriculum for early childhood education. Trentham Books, Stoke on Trent (2006)

    Google Scholar 

  54. Tanaka, F., Fortenberry, B., Aisaka, K., Movellan, J.R.: Plans for developing real-time dance interaction between QRIO and toddlers in a classroom environment. In: Proceedings of the 4th IEEE International Conference on Development and Learning, pp. 142–147. IEEE Press, New York (2005)

    Google Scholar 

  55. Tanaka, F., Cicourel, A., Movellan, J.R.: Socialization between toddlers and robots at an early childhood education center. PNAS 104, 17954–17958 (2007)

    Article  Google Scholar 

  56. Turing, A.M.: Computing machinery and intelligence. Mind 59, 433–460 (1950)

    Article  MathSciNet  Google Scholar 

  57. van Vuuren, S.: Technologies that empower pedagogical agents and visions for the future. Educational Technology 47, 4–10 (2006)

    Google Scholar 

  58. Woolf, B.: AI in Education. In: Shapiro, S. (ed.) Encyclopedia of Artificial Intelligence, pp. 434–444. John Wiley & Sons, New York (1992)

    Google Scholar 

  59. Yazdani, M.: Intelligent Tutoring Systems survey. Artificial Intelligence Review 1, 43–52 (1988)

    Article  Google Scholar 

  60. Yoon, J., Lee, J., Song, H.-J., Park, Y., Shim, H.-S., Lee, J.: ARPS: Active Recognition Photography System for child-care robot. In: Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 220–225. IEEE Press, New York (2008)

    Chapter  Google Scholar 

  61. Yoon, H.: A relation between young children’s computer utilization and their use of education robots. In: Proceedings of the 6th International Conference on Human-Robot Interaction, pp. 291–292. ACM, New York (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Education Sciences, Department of Education Sciences in Pre-School Age, Laboratory of Informatics, Democritus University of Thrace, 68100, Nea Chili, Alexandroupolis, Greece

    Jim Prentzas

Authors
  1. Jim Prentzas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jim Prentzas .

Editor information

Editors and Affiliations

  1. , Mathematics and Scientific Computing, National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, United Kingdom

    Xin-She Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag GmbH Berlin Heidelberg

About this chapter

Cite this chapter

Prentzas, J. (2013). Artificial Intelligence Methods in Early Childhood Education. In: Yang, XS. (eds) Artificial Intelligence, Evolutionary Computing and Metaheuristics. Studies in Computational Intelligence, vol 427. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29694-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29694-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29693-2

  • Online ISBN: 978-3-642-29694-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation