A novel approach for learning improvement in interactive classroom environments using learning automata

  • Hajar Hajary Department of Computer Science and Research Branch Islamic Azad University,tehran, iran
  • Ali Ahmadi Department of Computer Engineering, K.N. Toosi University of Technology
  • Maryam Khani Department of Mechatronic, Islamic Azad University
Keywords: tutorial like system, interactions, learning automata, cellular learning automata

Abstract

Determining the best way of learning and acquiring knowledge, especially in intelligent tutoring systems has drawn researchers' attention during past years. Studies conducted on E-learning systems and strategies proposed to improve the quality of these systems, indicate that the main learning resources for students in an educational environment are provided by two crucial factors. The first is the teacher who can basically influence students’ success through demonstrating her ability and skills, and the second is interaction among students. In this article, a new modeling approach is presented for improving learning/teaching models as well as interaction among learners, from which the most benefit can be derived by learners. The proposed model uses the learning automata for modeling the teacher and her behavior in such a way that she can also learn and teach better at the same time, thus improves her teaching skills. The model also uses cellular learning automata in order to model behavior of the learners as well as interactions between the learners for knowledge acquisition. The results indicate that in addition to teacher’s skills, the interaction/communication among learners can significantly improve the quality and speed of learning as compared with previous methods.

Downloads

Download data is not yet available.

Author Biographies

Hajar Hajary, Department of Computer Science and Research Branch Islamic Azad University,tehran, iran

Hajar Hajary received her B.Sc. in Software Computer  Engineering from Mobarakeh Azad University, Esfahan, Iran and M.Sc in Software Computer  Engineering from Science and Research Branch Islamic Azad university , Tehran, Iran. Her research interests include cloud computing, intelligent systems. Her research interests include distributed intelligent system, machine learning and multi agent system.

Ali Ahmadi, Department of Computer Engineering, K.N. Toosi University of Technology

Ali Ahmadi received his B.Sc. in Electrical Engineering from Amirkabir University, Tehran, Iran in 1991 and M.Sc. and Ph.D. in Artificial Intelligence and Soft Computing from Osaka Prefecture University, Japan in 2001 and 2004, respectively. He worked as a researcher in Research Center for Nanodevices and Systems in Hiroshima University, Japan during 2004–2007. He has been with K.N. Toosi University of Technology, Tehran, Iran as assistant professor from 2007. His research interests include distributed intelligent systems, human-computer interaction, computational intelligence, adaptation and interactive learning models, virtual reality and artificial life.

Maryam Khani, Department of Mechatronic, Islamic Azad University

Maryam Khani Received her B.Sc. in Software Engineering from Mobarakeh Azad University of Esfahan, Iran and her M.Sc. in Mechatronic Engineering from Islamic Azad university, South Tehran Branch, Tehran, Iran. Her research interests include intelligent systems, human-agent interaction, multi-agent system, learning machine and trust in social Internet of things as well.

References

[1] V.J.Shute ; J.Psotka., “Intelligent Tutoring Systems: Past, Present, and Future”, Handbook of Research on Educational Communications and Technology, Scholastic Publications1995.
[2] E.Wenger, “Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge” ,Los Altos, CA: Morgan Kaufmann Publishers, Inc1987.
[3] E.Fischetti, A.Gisolfi., “From Computer-Aided Instruction to Intelligent Tutoring Systems”, Educ. Technol, 1990, vol, 30, no. 8, pp. 7–17.
[4] R.Winkels , J.Breuker., “ What’s in an ITS? a functional Decomposition, in New Directions for Intelligent Tutoring Systems”, E. Costa, Ed.Berlin, Springer-Verlag, Germany, 1990.
[5] M. K. Hashem; “Learning automata based intelligent tutorial-like systems”, Ph.D. dissertation, School Comput. Sci., Carleton Univ., Ottawa, ON, Canada, 2007.
[6] J.Self, “The Defining Characteristics of Intelligent Tutoring Systems Research: ITSs Care, Precisel”, Int. J. Artif. Intell. Educ,1990, vol. 10, pp. 350–364.
[7] T. A. Atolage , V. Hlupic, “A multimedia intelligent tutoring system for simulation modeling. In Andraddttir” S, Healy KJ, Withers DH, Nelson BL, editors, proceeding of the 29th conference on winter simulation, Atlanta, Georgina. 1997, 504-509.
[8] R. S. Sutton, A. G. Batro, “ Reinforcement learning: an intruduction”. MIT Press, Cambridge, MA, 1998.
[9] J. E. beck, B. P. woolf, C. R. beal, “A Machine Learning Architecture for Intelligent Tutor Construction”, AAAI-00 Proceedings. Copyright © 2000,
[10] R. Sisin, M. Shirnura, “Student modeling and machine learning”. International journal of AI in education, 9(1-2), 1998.
[11] C. Frasson, T. Mengelle, E. Aimeur, G. Gouarderes G. “An actor-based architecture for intelligent tutoring system: in intelligent tutoring system”. In internatinal conference, ITS, 96: lecture note in computer science, Springer-verlag, 1996, Berlin,57-65.
[12] R.S.Legaspi, R.C.Sison, “Modeling the tutor using reinforcement learning”. in Proc. PCSC , 2000, pp. 194–196.
[13] P.Baffes, R.Mooney., “Refinement-based student modeling and automated bug library construction”. J.Artif. Intell. educ, 1996, vol. 7, no. 1, pp. 75–116.
[14] R.Lelouche., “A Collection of pedagogical agents for intelligent educational systems in intelligent tutoring systems”. 6th international Conference, ITS, Lecture Notes in computer Science, Springer-verlag, Berlin, 2000, pp. 143-152.
[15] Hashem. M. K , B. J. Oommen. “Modeling a Student-Classroom Interaction in a Tutorial-Like System Using Learning Automata,” IEEE Trans.Syst., Man, Cybern. B, Cybern. Feb. 2010, vol.40, no.1.
[16] M.K.Hashem, “Modeling a Student’s Behavior in a Tutorial-Like System Using Learning Automata”, Ph.D. dissertation, School Comput. Sci., Carleton Univ., Ottawa, ON, Canada, 2010.
[17] Hashem. M. K , B. J. Oommen. “Modeling the Learning process of the teacher in a Tutorial-Like System Using Learning Automata,” IEEE Trans.Syst., Man, Cybern. B, Cybern, Dec. 2013, vol.43, no.6, pp. 2010-2031.
[18] Y. Wang, W. Jiang. “Learning automata based cooperative student-team in tutorial-like system”. 10th International conference, ICIC, Taiyuan,china, 2014, 154- 161.
[19] Ge. Hao, Y. Wang, Y. Gua, C.L.P. Chen. S. Li. “Acooperative framework of learning automata and its application in tutorial-like system”. ScienceDirect, Elsevier B.V, 2015.
[20] M.L. Testlin. “On the behavior of finite automata in randim media, automation and remote control". 22:1210-1962.
[21] K.S.Narendra., M.A.L.Thathachar, “ Learning Automata: An Introduction”. Englewood Cliffs, NJ: Prentice-Hall, 1989.
[22] S.Lakshmivarahan, “Learning Algorithms: Theory and Applications”. Springer-Verlag: Berlin, Germany, 1981.
[23] K.Najim, A.S.Poznyak, “Learning Automata: Theory and Applications”. Oxford, U.K 1994: Pergamon.
[24] B.J.Oommen., M.Agache, “Continuous and Discretized Pursuit Learning Schemes: Various Algorithms and Their Comparison”, IEEE Trans. Syst., Man. Cyrern. Jun 2001 B, vol. 31, no. 3, pp. 277-278.
[25] M.A.L.Thathachar, P.S.Sastry, “Varieties of Learning Automata: An Overview”, IEEE Trans. Syst., Man, Cybern. B, Cybern, vol. 32, no. 6, pp. 711–722, 2007.
[26] J.V. Neumann, “The theory of self-reproducing automata” Burks AW (ed), Univ. of Illinois Press, Urbana and London 1996.
[27] M.R.Meybodi., H.Beigy, “ A Mathematical Framework for Cellular Learning Automata” Advance on Complex Syst. Sep./Dec 2004 Nos. 3-4.
[28] M.R.Meybodi., H.Beigy, M.Taherkhani, “Cellular Learning Automata and its Applications”, Sharif Journal of Science and Technology, 2003,vol. 19, no.25, pp.54-77.
[29] J.L. Schiff, “Cellular Learning Automata: A Discrete View of the World, A John Wily & Sons, 2007,Inc., Publication1807.
A novel approach for learning improvement in interactive classroom environments using learning automata
Published
2018-02-17
How to Cite
Hajary, H., Ahmadi, A., & Khani, M. (2018, February 17). A novel approach for learning improvement in interactive classroom environments using learning automata. International Journal of Information & Communication Technology Research, 9(3), 47-58. Retrieved from http://journal.itrc.ac.ir/index.php/ijictr/article/view/293
Section
Information Technology