CFP last date
20 December 2024
Reseach Article

Techniques for Generating Math Word Questions for Learning Disabilities

Published on None 2011 by K.Nandhini, S.R.Balasundaram
journal_cover_thumbnail
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 4
None 2011
Authors: K.Nandhini, S.R.Balasundaram
c778b1a5-2a51-4d71-a6af-568eaff0a8fb

K.Nandhini, S.R.Balasundaram . Techniques for Generating Math Word Questions for Learning Disabilities. International Conference and Workshop on Emerging Trends in Technology. ICWET, 4 (None 2011), 45-50.

@article{
author = { K.Nandhini, S.R.Balasundaram },
title = { Techniques for Generating Math Word Questions for Learning Disabilities },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 4 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 45-50 },
numpages = 6,
url = { /proceedings/icwet/number4/2092-algo415/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A K.Nandhini
%A S.R.Balasundaram
%T Techniques for Generating Math Word Questions for Learning Disabilities
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 4
%P 45-50
%D 2011
%I International Journal of Computer Applications
Abstract

Math word problems resembles daily life situation. Solving math word problem is a challenging task for normal students. It is still more complex for those having problem in learning. Mastering in solving math word problem can help them in leading daily life activities. Technology plays a vital role in education for all, including the students being discriminated in normal schools due to their different way of learning abilities.. The learning problem cannot be cured but can be reduced by giving proper training in the required domain through an instructional strategy. Training depends on number and type of questions. Due to the limitations of getting questions from standard text books, the need for Automatic Question Generations becomes vital. This paper discusses two methodologies for question generation related to math word problems in turn can improve the training process.

References
  1. John E. Hopcroft, Rajeev Motwani, Jeffrey D.Ullman, 2001, Introduction to Automata Theory, Language, and Computation, Pearson Education, Asia.
  2. Van de Walle, J.A. 2004, Elementary and Middle School Mathematics: Teaching Developmentally, 5th Edition. New York: Addison Wesley Longman, Inc.
  3. Asha Jitendra, Teaching Students Math Problem. 2002, Solving Through Graphic Representation, Teaching Exceptional Children, Vol 34, No 4, pp 34-38.
  4. Asha Jitendra ,Caroline M.Dipipi,Nora Perron Jones. 2002, An Exploratory Study Of Schema Based Word- Problem, Solving Instruction For Middle School Students With Learning Disability, The Journal of Special Education, Vol 36, No 1, pp 23-38.
  5. Tao Li and Sam Sambasivam, Automatically Generating Questions In Multiple Variables For Intelligent Tutoring, Issues in Information Sciences and Information Technology.
  6. Peterson, P.L Fennema, E. & Carpenter, T. 1989, Using Knowledge Of How Students Think About Mathematic. Educational Leadership, 46(4), pp 42-46.
  7. Yao –Ming Yen,Wen-Tsung Pai,Wen-Jeng Tzeng,Chin-Chin yen,Chi-Nung Chu,Yun-Lung lin, 2007, Research On Reasoning And Modeling Of Solving Mathematics Situation Word Problems Of Primary School Proc. 9th IEEE international Symposium on Multimedia.
  8. A.Andrenucci, Sneiders,E. 2005, Automated Question Answering :Review Of Main Approaches, Proc. 3rd International Conference on Information Technology and Applications Vol 1, pp 514-519.
  9. Briara, D. J., & Larkin, J. H. 1984. An Integrated Model Of Skill In Solving Elementary Word Problems. Cognition and Instruction, 245-296.
  10. Helwig, R., Rosek-Toedesco, M. S., Tindal, G., Heath, B., & Almond, P. J. 1999, Reading As An Access To Mathematics Problem Solving On Multiple-Choice Tests For Sixth-Grade Students. Journal of Educational Research, 93, 113-125.
  11. Parmar, R. S., Cawley J. F., & Frizita, R. R. 1996, Word Problem-Solving By Students With And Without Mild Disabilities. Exceptional Children, 62, 415-429.
  12. Agaliotis, I. 2008, Strategies for Successful Word Problem Solving By Students with Learning Disabilities. Strategies for Successful learning, 1(4).
  13. Fuchs, L. & Fuchs, D, 2007, Mathematical Problem Solving: Instructional Interventions. (pp. 397-414).
  14. Klint, P., Lammel, R., Verhoef, C, 2005, Towards An Engineering Discipline For Grammar Ware ACM Transaction on Software Engineering and Methodology 14(3) 331–380.
  15. Lammel, R, Grammar Testing, 2001, In: Proceedings of Fundamental Approaches to Software Engineering (FASE’01). Volume 2029. 201–216.
  16. W. Wang, H. Tianyong, L. Wenyin, 2008, Automatic Question Generation for Learning Evaluation in Medicine, LNCS Volume 4823, 2008, pp. 242-251.
  17. Jitendra, A.K., DiPipi, C.M., & Grasso, E. 2001, The Role Of A Graphic Representational Technique On The Mathematical Problem Solving Performance Of Fourth Graders: An Exploratory Study. Australian Journal of Special Education, 25(1& 2), 17-33.
  18. Jitendra, A.K., Griffin,C. C., McGeoy, K., Gardill. M.C., Bhat, P.,& Riley, T. 1998, Effects Of Mathematical Word Problem Solving By Students At Risk Or With Mild Disabilities. The Journal of Educational Research,91, 345-355.
  19. Jitendra, A., & Hoff .K. 1996, The Effects Of Schema- Based Instruction On Mathematical Word Problem Solving Performance Of Students With Learning Disabilities. Journal of Learning Disabilities 29, 422-431.
  20. Jitendra. A., Hoff,K., & Beck,M.M., 1999, Teaching Middle School Students With Learning Disabilities To Solve Word Problems Using A Schema Based Approach . Remedial and Special Education, 20, 50-64.
  21. M. Heilman and N. A. Smith.2009, Question Generation via Overgenerating Transformations and Ranking. Technical report, Language Technologies Institute, Carnegie Mellon University Technical Report CMU-LTI-09-013.
  22. Jack Mostow and Wei Chen. 2009, Generating Instruction Automatically For the Reading Strategy Of Self-Questioning. In Proceeding of the 2009 conference on Artificial Intelligence in Education, Amsterdam, The Netherlands.
  23. V. Rus and A. Graesser, 2009, The Question Generation Shared Task and Evaluation Challenge. 2009.
  24. Ivan A. Sag and Dan Flickinger., 2008, Generating Questions with Deep Reversible Grammars. In Proceedings of the First Workshop on the Question Generation Shared Task and Evaluation Challenge, Arlington, VA: NSF.
  25. Brendan Wyse and Paul Piwek. Generating Questions from Openlearn Study Units. In Proceedings of the 2nd Workshop on Question Generation In Craig,
Index Terms

Computer Science
Information Sciences

Keywords

Learning problem Math word problem Automatic Question generation Shallow NLP based Template Context Free Grammar