Connecting Research to Teaching: Linking Task Characteristics to the Development of Symbol Sense

2001 ◽  
Vol 94 (6) ◽  
pp. 494-499
Author(s):  
Margaret Tatem Kinzel

“Let x equal the number of miles.” How many explanations of solutions to word problems begin with a similar statement? As teachers, we frequently encourage students to state what their variables represent when they begin to solve a problem. However, we frequently see students who get lost in the notation and seem to have little or no means for finding their way out—or worse, students may not realize that they are lost. Lisa, a calculus student working on the Alpha and Beta travel task shown in figure 1, confidently began work on the task, used algebraic notation to represent quantities within the task, and arrived at a solution. In addition, Lisa was very comfortable with her answer. Lisa's work, as discussed in the next paragraph, was not correct and actually reveals a problem in her interpretation of notational expressions. We use this example to lead into a discussion of symbol sense, our goals for students, and how tasks can be used to help meet those goals. Readers may wish to try the tasks shown in figures 1, 3, 5, 7, and 9 before reading further.

2020 ◽  
Author(s):  
Gabriella Daroczy ◽  
Christina Artemenko ◽  
Detmar Meurers ◽  
Magdalena Wolska ◽  
Hans-Christoph Nuerk

Both linguistic and arithmetic task characteristics contribute to the difficulty of a word problem. However, the role of these characteristics and the exact cognitive processes underlying arithmetic word problems are often not clear, but they might be detectable by analysing eye-movement patterns. Not much is known about how eye-movements change under different linguistic and arithmetic task characteristics in regard to the whole problem as well as to specific parts of it (numerical and textual elements). This study examined the effects of linguistic and arithmetic task characteristics on the word problem-solving ability of children aged 10-13 years while their eye-movements were monitored. We manipulated the task characteristics independently of each other, using the mathematical factor operation (addition/subtraction) and the linguistic factors consistency (consistent/inconsistent) and nominalization (verbalized/nominalized). The results showed that eye-movements generally increase with increasing linguistic (i.e., nominalization) or arithmetic (i.e., operation) difficulty. However, specific parts of the text were differentially affected based on task characteristics: In general, increasing arithmetic difficulty shifts eye-movements towards numerical elements and increasing linguistic difficulty shifts eye-movements towards textual elements. However, the increase of difficulty in the arithmetic domain can also affect processing in the linguistic domain. For instance, as textual parts of the word problem were more frequently attended to when arithmetic difficulty increased but not vice versa. This indicates that in the process of word problem-solving, text comprehension and calculation are not sequential independent processes, but partially rely on the same processing components, such as working memory resources.


Author(s):  
Koen Luwel ◽  
Lieven Verschaffel ◽  
Patrick Onghena ◽  
Erik De Corte

2020 ◽  
Vol 35 (2) ◽  
pp. 295-315 ◽  
Author(s):  
Grace S. Hayes ◽  
Skye N. McLennan ◽  
Julie D. Henry ◽  
Louise H. Phillips ◽  
Gill Terrett ◽  
...  

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