Articles

Recepción: 24 Noviembre 2020
Aprobación: 18 Febrero 2021
DOI: https://doi.org/10.15388/LMR.2020.22470
Abstract: Word problems are classified to S problems and P problems by Verschaffel [10], classification is being specified and expanded. Reviewed word problems in Lithuanian first grade textbooks and divided to types. Submitted recommendations to use more varied types word problems, that would let to expand concepts understanding, develop mathematical reasoning, motivate to study word problem.
Keywords: word problems, textbooks, P problem, S problem, mathematical reasoning.
Summary: Žodiniai uždaviniai klasifikuojami į S problemas ir P problemas pagal Verschaffel [10], klasifikacija patikslinama ir išplečiama. Apžvelgiami žodiniai uždaviniai pirmos klasės vadovėliuose Lietuvoje ir suskirstomi į tipus. Pateikiamos rekomendacijos naudoti įvairesnių tipų žodinius uždavinius, tai leistų formuotis platesniam sąvokų suvokimui, ugdytų matematinį samprotavimą, skatintų nagrinėti uždavinio problemą.
Keywords: žodiniai uždaviniai, P problemos, S problemos, vadovėliai, matematinis sampro- tavimas.
Introduction
If student has to choose which way to take going from school he chooses it and is able to justify his decision. If he has the same word problem in textbook he stops thinking, stops talking and just gives his teacher a number. Why do we loose the main point in mathematics – which is reasoning? We took a closer look to Lithuanian textbooks to see what word problems we can find in them. To do that we reviewed and customized word problems classification for Lithuanian first grade textbooks. In the end of the article we will make suggestions how word problems in the textbooks could be improved.
Analyzed word problems
We analyzed James Stigler and others article “An Analysis of Addition and Subtrac- tion Word Problems in American and Soviet Elementary Mathematics Textbooks” [7] and decided to make similar analysis for addition and subtraction word problemsin Lithuanian textbooks. They used such classification of word problems as shown in Table 1. In order the word problem to be coded it had to present information anda question. Authors studied word problems containing only text. We also includedproblems with some images instead of text.
The second and the third parts are necessary for the word problem to be correctly formulated. We say that the information supplied for the word problem is optimal if it is necessary and sufficient to answer the question.
Problems in word problems
Some problems are standard where students can take numbers and do some operations with them, and some are different. So we divided word problems to S problems and P problems. We found this classification used in 1994 by Vershaffel et al. [9]. They describe these problems as standard and problematic. We specified definitions and sorted them into several types (see Fig. 1).
Definition 1. We say that the WP is S problem if it has optimal information needed to answer the question. If the S-problem can be solved using just one step then it is called S1 problem, otherwise it is called S2 problem.
We divided S1 problems into 20 types from [7] (Table 1). It is just one example of many classifications, which can show what word problems we have.
We call more problematic word problems P problems.
Definition 2. We say that the WP is P problem if it has either more than needed sufficient information or has less than needed necessary information to answer the question. In the first case we call the WP as P1 problem in the second case we call the WP as P2 problem.
It could be problems where students have to choose which information is impor- tant, which is not or given information is not clear and need to be discussed. So students sometimes have to choose solution models or analyze different cases. We divided P problems to P1 and P2 problems. These problems require mathematical reasoning and finding your own strategies.
Examples of P problems
Lets see how P problems look like and why we need them.
Saljo and Wyndhamn [5] did study based on two exercises (S problem and P problem) A) and B).
A) cow produces 18 liters of milk per day. How many liters of milk does the cow produce during one week?


B) Kalle goes to school and on average he has seven lessons per day. How many lessons does he have per week?
Problem A) is S problem. To solve it students just have to multiply 18 by 7 (which is a number of week days). B) problem is P1 problem, to solve it students have to multiply 7 (lessons) by 5, not by seven. In the text there is no information, that students go to school from Monday to Friday. All students know that, so they are able to use this information. But results show that its a harder problem. There were 90% correct answers to A) problem ant 70% correct answers to B) problem.
There is an interesting P2 problem example which is as follows:
Two boys, Charles and Martin, are going to help Nicholas rake leaves on his plot of land. The plot is 1200 square meters. Charles rakes 700 square meters during four hours and Martin does 500 square meters during two hours. They get 180 crowns for they work. How are the boys going to divide the money sothat is fair?
There are results in Table 2. We can see that one correct answer does not exist, but kids discussed different models of solution.
We can see that students discuss, try different models, search for solutions when they solve P2 problems.
Lithuanian textbooks
We studied three first grade textbooks: “Skaičių šalis”, B. Balčytis, A. Vaičiulienė, 1992. “Matematika 1 klasei”; A. Kiseliovas, D. Kiseliova, 2016. “TAIP!”; Rita Rimšienė, Ada Kavaliauskienė, Linas Vilčinskas, Šviesa, 2018. Me and Rimas Nor-vaiša studied these three textbooks separately and then compared results and cameto an agreement for each task type. You can see classified S problems in Fig. 2. Asyou can see there are no word problems for some types.


We found some P problems in these textbooks. In textbook “TAIP!” there were two P1 problems of 167 word problems, others were S problems. In textbook “Matem- atika I” were 6 P1 problems and 1 P2 problem of 44 problems. So there were 16% P problems. All of them were marked as harder, or more interesting problems. In textbook “Skaičių šalis” there were no P problems.
One of P1 problems we found in [4]:
Kajus had 16 nuts. Gerda had 15 nuts. Kajus gave 1 nut to Gerda. Do they have the same amount of nuts?
It could seem, that it is simple S1 problem. But then student could just add one to 15 (Kajus gave 1 nut to Gerda) and equalize it to 16 (Kajus had 16 nuts) and say they have the same amount of nuts. In this problem there is some information hidden. When Kajus gave one nut to Gerda, he ends up with one nut less. Students should not just add 1 to 16, they also have to subtract 1 from 16. Then they will get an answer that kids do not have the same amount of nuts.
P2 problem found in [3]:
100 chestnuts were pour out from two boxes. How many chestnuts could have been in each box?
It is not enough information in problem to get one answer, so student have to give set of answers.
What is needed to be changed
More S problems’ types
Talking about S problems Vergnaud [8] explains how concept’s meaning comes to students: “concepts meaning does not come from one situation only but from a variety of situations”. For example addition can be met in situations of combining, changing, comparing and equalizing. So if we let students solve just some of these situations, their understanding of concept will be just partial. As we can see there are a lot of first and second types S problems in textbooks. Quite a lot of 9, 10, 11, 14 types and some types we do not have at all. So textbook authors should pay more attention distributing word problems types.
Let students solve P problems
every problem is possible to solve;
all information given should be used;
there is only one possible solution and only one correct answer.
Authors stress that “socialisation into such tradition for interpreting problems makes it difficult to realize what particular problem is about”. We can see that there are a lot of S problems and just few P problems. Students get used to look to numbers and decide what schema to use. They do not think what a text story gives us, what a problem is about and when they get different problems, (new type, or in new topic) they can not solve it if they do not know schema. Due to Hatano [2] we should try to make distinction between “understanding by schema application” and “understanding through comprehension activity”. We suggest that in textbooks should be not just S problems, but also more P problems to teach students read text story, understand it and make decisions.
Wyndhamn and Saljo in [11] show how problematic problems develop mathematical reasoning. They say that S problems “seem to indicate lack of capacity or logical reasoning ability”. And P problems by themselves have reasoning requests. If we say that mathematics develop reasoning and we want kids to understand, estimate, think, not just give an answer then we should have more P problems in our textbooks.
Conclusions
To connect real life with mathematics and also develop mathematical thinking in schools we should use not just standard problems, but also problematic problems. Then students act and become involved in problems. When they have only S problems and the same type of problems again and again they stop thinking and just do arithmetics. They also do not get full concept meaning (of addition, subtraction). In Lithuanian textbooks we should use more different problems (P problems, other S problems types) and invite students to think and make reasoning.
References
[1] B. Balčytis, A. Vaičiulienė. Skaičių šalis. Šviesa, 1992.
[2] G. Hatano. A conception of knowledge acquisition and its implications for mathematics education. In L.P. Steffe, P. Nesher, P. Cobb, G.A. Goldin and B. Greer (Eds.). Theor. Math. Learn. (pp. 197–217), Mahwah, NJ: Erlbaum, 1996.
[3] A. Kiseliovas, D. Kiseliova. Matematika 1 klasei. Šviesa, 2016.
[4] R. Rimšienė, A. Kavaliauskienė, L. Vilčinskas. Serija “TAIP!” Matematika. 1 klasė. Šviesa, 2018.
[5] R. Saljo, J. Wyndhamn. A week has seven days. Or does it? On bridging linguistic openness and mathematical precision. Learn. Math., .(3):16–19, 1988.
[6] R. Saljo, E. Riesbeck, J. Wyndhamn. Learning to model: coordinating natural language and mathematical operations when solving word problems. In Words and Worlds. Modelling Verbal Descriptions of Situations, pp. 177–194, 2009.
[7] J.W. Stigler, K.C. Fuson, M. Ham, M.S. Kim. An analysis of addition and subtraction word problems in American and soviet elementary mathematics textbooks. Cogn. Instr., .(3):153–171, 1986.
[8] G. Vergnaud. The theory of conceptual fields. Hum. Devel.,52:83–94, 2009.
[9] L. Verschaffel, E.D. Corte, S. Lasure. Realistic considerations in mathematical modeling of school arithmetic word problems. Learn. Instr., .(4):273–294, 1994.
[10] L. Verschaffel, B. Greer, W.V. Dooren, S. Mukhopadhyay. Words and Worlds: Modelling Verbal Descriptions of Situations. Sense Publishers, 2009.
[11] J. Wyndhamn, R. Saljo. Word problems and mathematical reasoning – a study of chil- dren’s mastery of reference and meaning in textual realities. Learn. Instr., .(4):361–382, 1997.