Abstract
This paper is about an author tool that can be used to produce neuro-fuzzy tutoring systems for distance and mobile environments. These tutoring systems recognize and classify learning characteristics of learners by using a neuro-fuzzy system. The author tool has three main components: a content editor for building course structure and learning material; an editor for building fuzzy sets for different linguistic variables; and an XML course interpreter which combines a neuro-fuzzy predictive algorithm to display contents on different learning platforms. The author tool builds learning objects from other learning objects which are exported to SCORM format or to mobile devices.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Koedinger, K., Anderson, J.: Intelligent tutoring goes to the big city. In: Greer, J. (ed.) Proceedings of the International Conference on Artificial Intelligence in Education, pp. 421–428. AACE, Charlottesville (1995)
Murray, T.: Authoring Intelligent Tutoring Systems: An analysis of the state of the art. International Journal of Artificial Intelligence in Education 10, 98–129 (1999)
Bull, S., Cui, Y., McEnvoy, A.T., Reid, E., Yang, W.: Roles for Mobile Learners Models. In: Proceedings of the 2nd IEEE Workshop on Wireless and Mobile Technologies in Education (WMTE 2004), pp. 124–128. IEEE Computer Society, Los Alamitos (2004)
Attewell, J.: From Research and Development to Mobile Learning: Tools for Education and Training Providers and their Learners. In: Proceedings of the 4th World Conference on Mobile Learning (mLearn 2005) (2005)
Anderson, P., Blackwood, A.: Mobile and PDA technologies and their future use in education, JISC Technology and Standards Watch Report (2004)
Shih, K.-P., Chang, C.-Y., Chen, H.-C., Wang., S.-S.: A Self-Regulated Learning System with Scaffolding Support for Self-Regulated e/m-Learning. In: Proceedings of the 3rd International Conference on Information Technology: Research and Education (ITRE 2005), pp. 30–34. IEEE Computer Society, Los Alamitos (2005)
Romero, C., Ventura, S., Hervás, C., De Bra, P.: An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. In: Wade, V.P., Ashman, H., Smyth, B. (eds.) AH 2006. LNCS, vol. 4018, pp. 203–212. Springer, Heidelberg (2006)
[8] SCORM, The Sharable Content Object Reference Model, February 14 (2008), http://www.adlnet.org
Gardner, H.: Frames of Mind: The theory of multiple intelligences. Basic Books, New York (1983)
Negnevitsky, M.: Artificial Intelligence: A guide to Intelligent Systems, 2nd edn. Addison-Wesley, Reading (2005)
Jang, J.: ANFIS: Adaptive Network-based Fuzzy Inference Systems. IEEE Transactions on Systems, Man and Cybernetics 23(3), 665–685 (1993)
Attewell, J.: Mobile technologies and learning: A technology update and mlearning project summary, February 14, 2008. Learning and Skills Development Agency, London (2008), http://www.m-learning.org/reports.shtml
Zirada Mobile Publisher, The Premier Mobile Content Creation Tool, February 14 (2008), http://www.Zirada.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zatarain-Cabada, R., Barrón-Estrada, M.L., Sandoval, G., Osorio, M., Urías, E., Reyes-García, C.A. (2008). Authoring Neuro-fuzzy Tutoring Systems for M and E-Learning. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_74
Download citation
DOI: https://doi.org/10.1007/978-3-540-88636-5_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88635-8
Online ISBN: 978-3-540-88636-5
eBook Packages: Computer ScienceComputer Science (R0)