Title :
Grade level classification of math word problems to improve readability for learning disability
Author :
Nandhini, K. ; Balasundaram, S.R.
Author_Institution :
Dept. of Comput. Applic., Nat. Inst. of Technol., Tiruchirappalli, India
Abstract :
Any teaching learning process must be designed to suit the needs of all and must consider all types of learners including people with disabilities. One of the major learning disabilities found related to learners is the problem of reading which in turn affects the performance in mathematical domain. Solving math word problems is highly essential for learning the concepts of day to day activities. Training is an ideal remedy for helping people with learning disabilities. Also, estimating the difficulty level of questions and identifying the suitable questions of appropriate grade level are important tasks of training. This paper focuses on a novel application of Naïve Bayes Classifier in classifying math word problems based on readability of the question.
Keywords :
Bayes methods; computer based training; mathematics computing; pattern classification; teaching; grade level classification; learning disability; math word problem solving; math word problems; naïve Bayes classifier; readability; reading problems; teaching learning process; Context; Measurement; Readability metrics; Testing; Training; Vocabulary; Dyscalcuia; Dyslexic learner; Grade level vocabulary; Math word problems; Naive Bayes Classifier; Reading problem; Text readability;
Conference_Titel :
Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on
Conference_Location :
Kerala
Print_ISBN :
978-1-4577-0725-4
DOI :
10.1109/ICTEE.2012.6208638