Modeling a Student-classroom interaction in a tutorial-like system using learning automata

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 40, Issue 1, 2010, Pages 29-42

  Oommen, B John ^a,b   Hashem, M Khaled ^a,c  

^a CARLETON UNIVERSITY   (Canada)

^b UNIVERSITY OF AGDER   (Norway)

^c MKH Consulting Inc   (Canada)

Author keywords

Learning automata (LA); Modeling of adaptive systems; Student interaction; Tutorial like systems

Indexed keywords

APRIORI KNOWLEDGE; CLASSROOM INTERACTION; DECISION MAKING PROCESS; INFORMATION TRANSFERS; INTERACTION STRATEGY; LEARNING AUTOMATA; LEARNING AUTOMATA (LA); LEARNING MECHANISM; LEARNING PARADIGMS; LEARNING THEORY; MACHINE-LEARNING; STUDENT INTERACTIONS; STUDENTS LEARNING; WEAK LEARNER;

ADAPTIVE SYSTEMS; AUTOMATA THEORY; DECISION MAKING; PHILOSOPHICAL ASPECTS; ROBOTS; SCHOOL BUILDINGS; STUDENTS; TEACHING; TRANSLATION (LANGUAGES);

LEARNING SYSTEMS;

EID: 77955066216     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2009.2032414     Document Type: Article

References (40)

1. M. Agache and B. J. Oommen, "Generalized pursuit learning schemes: New families of continuous and discretized learning automata", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 6, pp. 738-749, Dec. 2002.
2. A. F. Atlassis, N. H. Loukas, and A. V. Vasilakos, "The use of learning algorithms in ATM networks call admission control problem: A methodology", Comput. Netw., vol. 34, no. 3, pp. 341-353, Sep. 2000.
3. A. F. Atlassis and A. V. Vasilakos, "The use of reinforcement learning algorithms in traffic control of high speed networks", in Proc. Adv. Comput. Intell. Learn., 2002, pp. 353-369.
4. A. Baddeley and R. Turner, "Spatstat: An R package for analyzing spatial point patterns", J. Stat. Softw., vol. 12, no. 6, pp. 1-42, 2005.
5. M. Barzohar and D. B. Cooper, "Automatic finding of main roads in aerial images by using geometric-stochastic models and estimation", IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 7, pp. 707-721, Jul. 1996.
6. D. J. Bertsimas and G. Van Ryzin, "Stochastic and dynamic vehicle routing in the Euclidean plane with multiple capacitated vehicles", Oper. Res., vol. 41, no. 1, pp. 60-76, Jan./Feb. 1993.
7. C. Bettstetter, H. Hartenstein, and X. Pérez-Costa, "Stochastic properties of the random waypoint mobility model", Wirel. Netw., vol. 10, no. 5, pp. 555-567, Sep. 2004.
8. M. L. Brandeau and S. S. Chiu, "An overview of representative problems in location research", Manage. Sci., vol. 35, no. 6, pp. 645-674, Jun. 1989.
9. J. J. Collins, C. C. Chow, and T. T. Imhoff, "Aperiodic stochastic resonance in excitable systems", Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top., vol. 52, no. 4, pp. R3 321-R3 324, Oct. 1995.
10. R. L. Cook, "Stochastic sampling in computer graphics", ACM Trans. Graph., vol. 5, no. 1, pp. 51-72, Jan. 1986.
11. J. P. Cusumano and B. W. Kimble, "A stochastic interrogation method for experimental measurements of global dynamics and basin evolution: Application to a two-well oscillator", Nonlinear Dyn., vol. 8, no. 2, pp. 213-235, Sep. 1995.
12. E. Fischetti and A. Gisolfi, "From computer-aided instruction to intelligent tutoring systems", Educ. Technol., vol. 30, no. 8, pp. 7-17, Aug. 1990.
13. M. K. Hashem, "Learning automata based intelligent tutorial-like systems", Ph. D. dissertation, School Comput. Sci., Carleton Univ., Ottawa, ON, Canada, 2007.
14. M. K. Hashem and B. J. Oommen, "On using learning automata to model a student's behavior in a tutorial-like system", in Proc. 20th Int. Conf. IEA/AIE, Kyoto, Japan, Jun. 2007, pp. 813-822.
15. J. Kabudian, M. R. Meybodi, and M. M. Homayounpour, "Applying continuous action reinforcement learning automata (CARLA) to global training of hidden Markov models", in Proc. Int. Conf. ITCC, LasVegas, NV, 2004, pp. 638-642.
16. S. Lakshmivarahan, Learning Algorithms: Theory and Applications. Berlin, Germany: Springer-Verlag, 1981.
17. M. R. Meybodi and H. Beigy, "New learning automata based algorithms for adaptation of backpropagation algorithm parameters", Int. J. Neural Syst., vol. 12, no. 1, pp. 45-67, Feb. 2002.
18. S. Misra and B. J. Oommen, "GPSPA: A new adaptive algorithm for maintaining shortest path routing trees in stochastic networks", Int. J. Commun. Syst., vol. 17, no. 10, pp. 963-984, Sep. 2004.
19. K. Najim and A. S. Poznyak, Learning Automata: Theory and Applications. Oxford, U. K.: Pergamon, 1994.
20. K. S. Narendra and M. A. L. Thathachar, Learning Automata: An Introduction. Englewood Cliffs, NJ: Prentice-Hall, 1989.
21. M. S. Obaidat, G. I. Papadimitriou, and A. S. Pomportsis, "Learning automata: Theory, paradigms, and applications", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 6, pp. 706-709, Dec. 2002.
22. M. S. Obaidat, G. I. Papadimitriou, A. S. Pomportsis, and H. S. Laskaridis, "Learning automata-based bus arbitration for shared-medium ATM switches", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 6, pp. 815-820, Dec. 2002.
23. N. Omar and A. S. Leite, "The learning process mediated by intelligent tutoring systems and conceptual learning", in Proc. Int. Conf. Eng. Educ., Rio de Janeiro, Brazil, 1998.
24. B. J. Oommen and M. Agache, "Continuous and discretized pursuit learning schemes: Various algorithms and their comparison", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 31, no. 3, pp. 277-287, Jun. 2001.
25. B. J. Oommen and E. V. de St. Croix, "Graph partitioning using learning automata", IEEE Trans. Comput., vol. 45, no. 2, pp. 195-208, Feb. 1995.
26. B. J. Oommen and T. D. Roberts, "Continuous learning automata solutions to the capacity assignment problem", IEEE Trans. Comput., vol. 49, no. 6, pp. 608-620, Jun. 2000.
27. M. Paola, "Digital simulation of wind field velocity", J. Wind Eng. Ind. Aerodyn., vol. 74-76, pp. 91-109, 1998.
28. G. I. Papadimitriou and A. S. Pomportsis, "Learning-automata-based TDMA protocols for broadcast communication systems with bursty traffic", IEEE Commun. Lett., vol. 4, no. 3, pp. 107-109, Mar. 2000.
29. A. S. Poznyak and K. Najim, Learning Automata and Stochastic Optimization. Berlin, Germany: Springer-Verlag, 1997.
30. B. S. Rowlingson and P. J. Diggle, "SPLANCS: Spatial point pattern analysis code in S-plus", North West Regional Res. Lab., Univ. Lancaster, Lancaster, U. K., 1991.
31. J. R. Sanders, presented at the Proc. 24th Annu. Meeting Joint Committee Stand. Educ. Eval., Oct. 2008. [Online]. Available: http://www.wmich.edu/ evalctr/jc/Minutes/JCMinutes98.htm
32. J. Self, "The defining characteristics of intelligent tutoring systems research: ITSs care, precisely", Int. J. Artif. Intell. Educ., vol. 10, pp. 350-364, 1999.
33. F. Seredynski, "Distributed scheduling using simple learning machines", Eur. J. Oper. Res., vol. 107, no. 2, pp. 401-413, Jun. 1998.
34. M. A. L. Thathachar and B. J. Oommen, "Discretized reward-inaction learning automata", J. Cybern. Inf. Sci., vol. 2, no. 1, pp. 24-29, Spring 1979.
35. M. A. L. Thathachar and P. S. Sastry, "Varieties of learning automata: An overview", IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 6, pp. 711-722, Dec. 2002.
36. M. A. L. Thathachar and P. S. Sastry, Networks of Learning Automata: Techniques for Online Stochastic Optimization. Boston, MA: Kluwer, 2003.
37. M. L. Tsetlin, Automation Theory and the Modeling of Biological Systems. New York: Academic, 1973.
38. C. Unsal, P. Kachroo, and J. S. Bay, "Simulation study of multiple intelligent vehicle control using stochastic learning automata", Trans. Soc. Comput. Simul. Int., vol. 14, no. 4, pp. 193-210, Dec. 1997.
39. A. Vasilakos, M. P. Saltouros, A. F. Atlassis, and W. Pedrycz, "Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques", IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 33, no. 3, pp. 297-312, Aug. 2003.
40. R. Winkels and J. Breuker, "What's in an ITS? A functional decomposition", in New Directions for Intelligent Tutoring Systems, E. Costa, Ed. Berlin, Germany: Springer-Verlag, 1990.