Mathematical Symbol Recognition in Children

نویسنده

  • Sandra Street
چکیده

In early mathematics development the development of symbolic skills is critical to math learning. Our mathematical system is based on Arabic number symbols which do not provide any semantic meaning relevant to the number words and symbols. In order to succeed in math one must be able to recognize and understand the meaning of numeric and other mathematical symbols. Little is known about the development of these symbolic skills. The current study examines 4 -7-year-old children’s understanding and recognition of number and arithmetic symbols. The youngest children made significant errors in identifying numbers as well as confusing letter symbols with number symbols. Results reveal a developmental progression of numeric symbol recognition.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A hybrid classifier for handwritten mathematical expression recognition

In this paper we propose a hybrid symbol classifier within a global framework for online handwritten mathematical expression recognition. The proposed architecture aims at handling mathematical expression recognition as a simultaneous optimization of symbol segmentation, symbol recognition, and 2D structure recognition under the restriction of a mathematical expression grammar. To improve the c...

متن کامل

Recognition of Mathematical Notation

Recognition of mathematical notation involves two main components: symbol recognition and symbol-arrangement analysis. Symbol-arrangement analysis is particularly difficult for mathematics, due to the subtle use of space in this notation. We begin with a general discussion of the mathematics-recognition problem. This is followed by a review of existing approaches to mathematics recognition, inc...

متن کامل

On-Line Recognition of Handwritten Mathematical Expressions Based on Stroke-Based Stochastic Context-Free Grammar

In this paper, we propose a new framework for online handwritten mathematical expression recognition. In this approach, we consider handwritten mathematical expressions as the output of stroke generation processes based on a stochastic context-free grammar which generates handwritten expressions stochastically. We estimate the most likely expression candidate derived from the grammar, rather th...

متن کامل

Symbol Recognition in Handwritten Mathemati- Cal Formulas

In this paper an efficient on-line recognition system for handwritten mathematical formulas is proposed. After formula preprocessing a symbol hypotheses net is generated by extracting different features for stroke unity. Each element of the symbol hypotheses net represents a possible symbol. The data of each symbol hypotheses are preprocessed and an image is calculated. Features for symbol clas...

متن کامل

Mathematical Document Classification via Symbol Frequency Analysis

Earlier work has examined the frequency of symbol and expression use in mathematical documents for various purposes including mathematical handwriting recognition and forming the most natural output from computer algebra systems. This work has found, unsurprisingly, that the particulars of symbol and expression vary from area to area and, in particular, between different top-level subjects of t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017