CFP last date
20 December 2024
Reseach Article

Article:Improving Learning Performance by Providing Intellectual Suggestions

by Al-Sarem Mohammed, Mostafa Bellafkih, Mohammed Ramdani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 5
Year of Publication: 2011
Authors: Al-Sarem Mohammed, Mostafa Bellafkih, Mohammed Ramdani
10.5120/3822-5301

Al-Sarem Mohammed, Mostafa Bellafkih, Mohammed Ramdani . Article:Improving Learning Performance by Providing Intellectual Suggestions. International Journal of Computer Applications. 31, 5 ( October 2011), 38-42. DOI=10.5120/3822-5301

@article{ 10.5120/3822-5301,
author = { Al-Sarem Mohammed, Mostafa Bellafkih, Mohammed Ramdani },
title = { Article:Improving Learning Performance by Providing Intellectual Suggestions },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 5 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number5/3822-5301/ },
doi = { 10.5120/3822-5301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:22.328807+05:30
%A Al-Sarem Mohammed
%A Mostafa Bellafkih
%A Mohammed Ramdani
%T Article:Improving Learning Performance by Providing Intellectual Suggestions
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 5
%P 38-42
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In developing a diagnosis system for detecting student’s learning problems, providing intellectual suggestions is helpful and powerful tool to improve the learning performance. However, it is difficult and time consuming for teachers to give personalized suggestions to each student, particularly when there are many students in class. To cope with this problem, this study proposes concept-effect relationship model (CER) as a tool to identify the learning problem of students. Based on that, an intellectual learning guidance system has been proposed.

References
  1. G. J. Hwang,“A conceptual map model for developing intelligent tutoring systems”, Computers & Education, vol. 40, no. 3, pp. 217-235,2003
  2. C. K. Chiou, G. J. Hwang, and J. C. R. Tseng, “An auto-scoring mechanism for evaluating problem-solving ability in a web-based learning environment”. Computers & Education, vol. 53. No. 2, pp. 261-272, 2009.
  3. G. J. Hwang, H. C. Chu, P. Y. Yin, and J. Y. Lin, “An innovative parallel test-sheet composition approach to meet multiple assessment criteria for national tests”. Computers& Education, vol. 51, no. 3, pp.1058-1072, 2008.
  4. J. P. D. Plessis, J. A. V. Biljon, C. J. Tolmie, and T. Wollinger, “A model for intelligent computer-aided education systems”. Computers & Education, vol. 24, no. 2, pp. 89-106, 1995.
  5. C. R. Springer, and J. J. Pear, “Performance measures in courses using computer-aided personalized system of instruction”. Computers & Education, vol. 51, no.2, pp.829-835, 2008.
  6. C.-L. Hung, and Y.W. Hung, “A Practical Approach for Constructing an Adaptive Tutoring Model Based on Concept Map”, VECIMS 2009 - International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems Hong Kong, China May 11-13, 2009.
  7. C. C. Tsai, and C. Chou, “Diagnosing students' alternative conceptions in science”. Journal of Computer Assisted Learning, vol. 18, no. 2, pp.157-165, 2002.
  8. G. J. Hwang, H. C. Cheng, H. C. Chu, J. C. R. Tseng, and G. H. Hwang, “Development of a web-based system for diagnosing student learning problems on English tenses”. Journal of Distance Education Technologies, vol.5, no. 4, pp.80-98, 2007.
  9. C. H. Lee, G. G. Lee, and Y. Leu, “Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning”. Expert Systems with Applications, vol. 36, no. 2, 1675-1684, 2009.
  10. S. Hooper, “Cooperative learning and computer-based instruction”. Educational Technology Research & Development, vol. 40, no. 3, pp. 21- 38, 1992.
  11. B. Ozdemir, and F. Alpaslan, “An intelligent tutoring system for student guidance in Web-based courses”. 4th International Conference on Knowledge-based Intelligent Engineering System and Allied Technologies, vol. 2, pp.835-839, 2000.
  12. C.J. Butz, S. Hua, and R.B. Maguire, “A Web-based Bayesian Intelligent Tutoring System for Computer Programming”. Evolution of the Web in Artificial Intelligence Environments, pp. 221-242, Springer-Verlag Berlin Heidelberg, 2008.
  13. G. J. Hwang, “A test-sheet-generating algorithm for multiple assessment requirements”. IEEE Transactions on Education, vol. 46, no.3, pp.329-337,2003.
  14. G. J. Hwang, P. S. Tsai, C. C. Tsai, and J. C. R. Tseng, “A novel approach for assisting teachers in analyzing student web-searching behaviors”. Computers & Education, vol. 51, no. 2, pp.926-938, 2008.
  15. G. J. Hwang, C. L. Hsiao, and J. C. R. Tseng, “A computer-assisted approach to diagnosing student learning problems in science courses”. Journal of Information Science and Engineering, vol. 19, no. 2, pp.229-248,2003.
  16. B. S. Jong, T. W. Lin, Y. L. Wu, and T. Y. Chan, “Diagnostic and remedial learning strategy based on conceptual graphs”. Journal of Computer Assisted Learning, vol. 20, no. 5, pp.377-386, 2004.
  17. H.C. Chu, G.J. Hwang, Judy C. R. Tseng, and G.H. Hwang, “A Computerized Approach to Diagnosing Student Learning Problems in Health Education”. Asian Journal of Health and Information Sciences, Vol. 1, No. 1, pp. 43-60, 2006.
  18. K. GÜNEL, and R. AŞLIYAN, “Determining Difficulty Of Questions In Intelligent Tutoring Systems”. The Turkish Online Journal of Educational Technology – TOJET ISSN: 1303-6521, vol. 8, no. 3, pp.14-21, July, 2009.
  19. P., Panjaburee, G. J., Hwang, W., Triampo, and B. Y., Shih. “A multi-expert approach for developing testing and diagnostic systems based on the concept-effect model”. Computers & Education. Vol. 55,pp. 527-540.2010
  20. C.,Hsu, R.,Kuo, M.,Chang, and J.,Heh, “Implementing a Problem Solving System for Physics based on Knowledge map and Four Steps Problem Solving Strategies”. 2ed international Conference on Advanced Learning Technologies,2002.
  21. M.,Al-Sarem, M.,Bellafkih, M., Ramdani, “ A New Method for Constructing Concept Maps in E-Learning Systems”. Advanced Research on Computer Education, Simulation and Modeling, Springer-Verlag,Vol.176,no.2,pp.180-185.2011.
  22. R., Agrawal, and R., Srikant, Fast algorithms formining association rules, In Proceedings of the 20th International Conference on Very Large Database, pp.487-499.1994
  23. O.A., Shabalina “Models and methods of modeling learning process”.Ph.D thesis, University of Astrakhan.2005.
Index Terms

Computer Science
Information Sciences

Keywords

Fussy set theory Bayesian network Concept-effect relationship model learning guidance