Abstract
Due to rapid advancement in the field of computer communication there has been a lot of research in development of Intelligent Tutoring System (ITS). However ITS fails to pinpoint the exact concept the student is deficient in. We propose the development of an Intelligent Diagnostic and Remedial learning system which aims to diagnose the exact concept the student is deficient in. The proposed system composed of three modules is derived from David Ausubel’s theory of meaningful learning which consists of three learning elements. The system is implemented in mobile environment using Android Emulator. Finally an experiment was conducted with a set of 60 students majoring in computer science. Experimental results clearly show that the system improves the performance of the learners for whom they are intended.
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
Novak, J.D., Alberto, C.J.: Theoretical Origins of Concept Map, How to construct them and their used in Education. Reflecting Education 3(1), 29–42 (2007)
Pendidican, F.: Learning Theories. Mathematika dan IInam Alam, Universitas Pendidikan Indonesia
Hwang, G.: A conceptual map model for developing Intelligent Tutoring Systems. Computers and Education, 217–235 (2003)
Hwang, G.: A computer assisted approach to diagnosing student learning problems in science courses. Journal of Information Science and Engineering, 229–248 (2007)
Pocatilu, P.: Developing mobile learning applications for Android using web services. Informatica Economica 14(3) (2010)
Lee, C., Lee, G., Leu, Y.: Application of automatically constructed concept maps of learning to conceptual diagnosis of e-learning. Expert Systems with Application 36(2), 1675–1684 (2009)
Virvou, M., Alepis, E.: Mobile Education features in authoring tools for personalized tutoring. Computers and Education, 53–68 (2005)
Kazi, S.: Voca Test: An intelligent Tutoring System for vocabulary learning using M-Learning Approach (2006)
Thompson, T.: The learning theories of David P Ausubel. The importance of meaningful and reception learning
Johnson, W.B., Neste, L.O., Duncan, P.C.: An authoring environment for intelligent tutoring systems. In: IEEE International Conference on Systems, Man and Cybernetics, pp. 761–765 (1989)
Vasandani, V., Govindaraj, T., Mitchell, C.M.: An intelligent tutor for diagnostic problem solving in complex dynamic systems. In: IEEE International Conference on Systems, Man and Cybernetics, pp. 772–777 (1989)
Psotka, J., Mutter, S.A.: Intelligent Tutoring Systems: Lessons Learned. Lawrence Erlbaum Associates (1998)
Sai, C.: Data Mining Techniques for Identifying students at risk of failing a computer proficiency test required for graduation. Australasian Journal of Educational Technology 27(3), 481–498 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Acharya, A., Sinha, D. (2014). A Concept Map Approach to Supporting Diagnostic and Remedial Learning Activities. In: Kumar Kundu, M., Mohapatra, D., Konar, A., Chakraborty, A. (eds) Advanced Computing, Networking and Informatics- Volume 1. Smart Innovation, Systems and Technologies, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-319-07353-8_65
Download citation
DOI: https://doi.org/10.1007/978-3-319-07353-8_65
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07352-1
Online ISBN: 978-3-319-07353-8
eBook Packages: EngineeringEngineering (R0)