The competition between numbers and structure: why expressions with identical algebraic structures trigger different interpretations - Statistical Data Included Liora Linchevski The common perception of school algebra as generalized arithmetic implies that algebraic structural rules are perceived as rules that draw their legitimization and meaning from rules that are valid in the world of numbers (Buxton, 1984; Davis, 1985; Smith, 1997). This widespread view has generated the search for a model that describes the relations between students' understanding of the number system and of the algebraic one (Collis, 1971; Lee and Wheeler, 1989; Linchevski and Herscovics, 1996b). In the context of the school curriculum, it has motivated a teaching approach that may be described as teaching arithmetic for "algebraic purposes" (Davis, 1985; Arcavi, 1994; English and Sharry, 1996; Milton, 1999). The proponents of this approach maintain that difficulties students experience with algebra originate in the lack of a suitable arithmetic foundation and claim that the failure of students to appreciate the rules of working with "letters" is largely due to their failure to understand the rules of workin g with numbers. They assume that understanding of the structural rules in arithmetic guarantees understanding of the corresponding parts in algebra (Kuchemann, 1981; Booth, 1984; Kieran, 1989; Lee and Wheeler, 1989; MacGregor, 1996; Milton, 1999). This widespread view of school algebra has also motivated the ongoing research on students' "non-algebraic" behavior (structural "bugs") in numerical contexts. However, although in some cases there are grounds to suggest that certain "non-algebraic" behavior of students may be attributed to problems with arithmetic, by the same token it has also been suggested that the presence of numbers does not always make the task "easier" (Lins, 1990; Kieran and Sfard, 1999). Non-algebraic behavior in a numerical context The following describes one of many actual instances where students seem to be disregarding structural aspects of numerical expressions when solving numerical problems. These seventh-grade students (1) had been investigating in class, for quite some time, equivalent numerical expressions. They had been introduced to the conventions related to the order of operations, to the role of brackets and to the possibilities of "removing" and "inserting" brackets with and without changing the numerical expressions, such as the commutative, associative and distributive laws, and had manipulated numerical expressions using their newly acquired knowledge. In one of the questions on a test, they were asked to evaluate the expression: 53-3x5+15. Rather than the expected answer of 53, Ron arrived at 23. His work showed the following calculations: 53-3x5+15=5315+15=53-30=23. We assume that, in the first step, Ron followed the correct order of operations and multiplied 3 by 5. However, after inserting the result (15) back into the expression, he "detached" (Herscovics and Linchevski, 1994; Linchevski and Herscovics, 1996a; Linchevski and Livneh, 1999; Kirshner, 1989) the first 15 from the subtraction sign, put mental brackets around the two 15s and got 23 as an answer. Yet, in another exercise with the same algebraic structure: 46-8x3+7, Ron followed the correct order of operations and got the expected answer: 29. His written work showed: 46-8x3+7=46-24+7=22+7=29. Does Ron know the order of operations or not? Other students in Ron's class also arrived at different interpretations of expressions with identical algebraic structures. For example, Rachel's answer for 160/(5x2), was l6; she multiplied 5 by 2 and then divided 160 by 10. Is she over-generalizing the order of operations, thinking that multiplication takes precedence over division? Yet, in another item on her exam paper, 48/8x4, Rachel did not start to evaluate the expression by first multiplying 8 by 4 and then dividing 48 by 32 (getting 3/2 as an answer), as she had done in the previous case. This time she correctly followed the order of operations; she divided 48 by 8 and then multiplied the obtained answer (6) by 4, and arrived at the correct answer (24). What about Sarie who wrote: 53-3x5+15=1000, or Noam who found that 35-10-10+35 equals -20? They both decomposed the expressions at unexpected points. Sarie viewed the expression as (53-3)x(5+15), and Noam as (35-10)-(10+35). It certainly looks as if the students' procedures are accidental, random and inconsistent and that they are completely blind to the mathematical structure. It seems that, even after being taught structural aspects of numerical expressions, a considerable amount of students did not perceive numerical expressions with the same algebraic structure as algebraically the same. They were unable to "ignore" the specific numbers given in a numerical expression and grasp them as "any" number. Thus, according to the arithmetic-algebra link, they are not prepared to think and act algebraically. Is there any reason why the structure of the expressions often does not become transparent to the students (Booth, 1984), why expressions with the same algebraic structure trigger in students different interpretations? We hypothesize that how students interpret a numerical expression, as well as the alternative structures they spontaneously associate with it, are partly dependent upon the unique numerical combination at hand. We conjecture that certain number combinations often shift the focus of attention from the structure to the numerical properties of the given terms in such a way that a wrong numerical value is assigned to the expression. Certain numerical combinations encourage a correct interpretation, while others encourage a wrong one, and this is probably one of the reasons why Rachel interpreted the expressions 160/5x2 and 48/8x4 in two different ways. This assumption also raises questions about cases in which the interpretation given by a student was correct. The properties of the specific numbers at hand -- and not the structural properties of the expressions -- may very well have induced the correct interpretation. Biasing number combinations We contend that certain numerical combinations "seduce" naive solvers into working in a given order of operations. Consider, for example, the following two expressions: (1)217-17+ 69 (2)267-30+ 30 We assume that the numbers in Expression 1 lead to sequential computation from left to right (the 17 almost "begs" to be subtracted from 217) much more easily than the numbers in Expression 2. The latter encourages operating on the 30s before dealing with the 267. While the first expression will probably not evoke any alternative scheme to the sequential one, whether correct or wrong, the second expression may evoke the correct alternative scheme of -30+30 "giving zero" (that is, subtracting 30 and then adding 30 is the same as doing nothing). It may also evoke the incorrect alternative of performing 267-60, that is, detaching the 30+30 from the subtraction operation (Herscovics and Linchevski, 1994; Linchevski and Herscovics, 1994; Linchevski and Herscovics, 1996a; Linchevski and Livneh, 1999). Expressions like 530-10+10+10 should greatly increase the probability of evoking this sort of incorrect scheme. Similarly, we assume that an expression like: (3) 12 x 5/2 x 17 would evoke an entirely different scheme, in some people, than the expression: (4) 150 x 2 / 2 x 150 although both have the same algebraic structure. It is quite plausible that the correct solution - computation from left to right - will be chosen most often to solve Expression 3, while there will be a tendency to choose alternative schemes, which are not necessarily correct, in the case of Expressin 4 (e.g., (150 x 2) / (2 x 150)). A similar contrast should obtain with the following two expressions: (5) 100 / 2x25 / 5 (6) 35 / 5x2+7 Whereas, in the first pair (Expressions 3 and 4), the different schemes will sometimes lead to a correct solution and sometimes to an incorrect one, in the second pair (Expressions 5 and 6), the ultimate result will not necessarily reveal the use of alternative schemes. It is likely that a student who solved 100/2x25 / 5 by inserting "mental brackets" - calculating (100+2) x (25+5), which gave 50x5=250 - was not doing this for the right structural reasons, out of a flexible view of the algebraic structure a/bxc/d = (a+b)xc/d = (a/b)xc/d = [(axc)/b] / d = (axc/b)x(1/d)=(axc)/(bxd) = (a/b)x(c/d). It is more likely that the particular numbers that appeared in this expression led the student to perform the calculation in this specific order. In fact, we should not be completely surprised by this phenomenon. The role of biasing number combinations in the context of multiplication and division has been investigated by several researchers. For instance, Bell and colleagues (Bell, Swan and Taylor, 1981) have shown that, when children are presented with problems with the same structure, they use different operations to solve the problem, depending on the specific numerical data given. Fischbein and colleagues (Fischbein, Deri, Nello and Marine, 1985) emphasize that this phenomenon occurs even after learners have had a solid formal algorithmic training. Linchevski and Livneh (1999) have found that different number combinations in expressions with the same algebraic structure are at least partly responsible for the alternative structures the students spontaneously associate with these expressions. The same difficulty with number combinations can be inferred from research on students' thinking processes in generalization activities, such as number pattern generalization or visual pictorial generalization (e.g., MacGregor and Stacey, 1993; Orton and Orton, 1994; Taplin, 1995; Lee, 1996; Garcia-Cruz and Martinon, 1997). The data presented in these studies shows that students use different generalization processes for different items. Our own analysis (Sasman, Olivier and Linchevski, 1999; Linchevski, Olivier, Sasman, and Liebenberg, 1998) reveals that different items with identical functional relations often trigger different generalization processes. Moreover, the generalization strategy that students suggest is partly dependent upon the unique numerical combination at hand, rather than upon functional relations. For example, the most widespread strategy suggested by students, regardless of the correct functional relation, is the proportional multiplication strategy, i.e., if [n.sub.2] is k*[n.sub.1] then f([n.sub.2]) is k*f([n.sub.1]). Thus, in a question like: Complete the missing values f(1)=3,f(2)=5,f(3)= 7,f(4)=9,f(5)= ?,f(20)=?,f(100)=?, a considerable number of students, after finding correctly that f(5)=11, would calculate f(20) mistakenly as 4x11=44 (Linchevski, Olivier, Sasman, and Liebenberg, 1998). While Vergnaud (1983) claims that this is an over-generalization of the many direct proportional relationships that students are intuitively aware of from an early age, we argue that this occurs exclusively in the context of specific number combinations - which we call "seductive numbers". The use of seductive numbers like [n.sub.2]=20 while [n.sub.1]=5 stimulates the error. The students are trapped by the multiplicative relationship between 20 and 5. It is quite possible that other numerical combinations like [n.sub.1]=5. while [n.sub.2] is 17, 27 or 83, would trigger different, correct or incorrect, strategies. Indeed, a study by Sasman, Olivier and Linchevski (1999) showed that the introduction of "non-seductive numbers" discouraged the proportional multiplication strategy and gave rise to other strategies, many of which were inappropriate. These examples suggest that the choice of a number combination can determine, to a certain extent, the strategy either correct or incorrect - that a student uses. It is important to note that the above reported results were detected among different students, coming from different age groups - from elementary to high-school - and from completely different educational systems. Thus, they are probably pointing at some cognitive obstacles and not just a result of some particular teaching strategy. Studies conducted in other areas, such as logic and language, support our observations. In many instances, sentences with the same logical structure were found to convey different meanings when they had different linguistic content (Linchevski and Nesher, 1978). Even after subjects had studied the truth tables of the sentences and practiced analyzing sentences and propositions according to the criteria of their logical structure, the verbal context still had a considerable biasing effect on their perception of the logical structure of the sentence and the truth value they assigned it. Walkerdine and Corran (1979) argue that cognitive development might be viewed as shift of attention from the metaphoric axis - the situation, content and context-to the metonymic one - structure and syntax. Leonard (1994) uses Walkerdine and Corran's metaphoric/metonymic axes linguistic perspective as a theoretical frame in her analysis of students' difficulties in understanding mathematical sentences (Walkerdine, 1982; Walkerd ine and Corran, 1979). She demonstrated how specific words in a sentence can be replaced on the "metaphoric axis" without changing the logical structure of the sentence, while changes along the "metonymic axis" lead to a change in the structure of the sentences even if its key words remain the same. In the second case, it is obvious that the change generally alters the meaning of the sentence, but Leonard notes that, even in the first case, when the structure of the sentence remains the same, substituting wards in this axis changes the way students interpret the sentences. We assume that numbers create a "numerical" context exactly as words create a "verbal" one, and thus have a considerable biasing effect on students' perception of the algebraic structure, one that is comparable to the biasing effect words have on the perception of sentences. Along these lines, we conjecture that the properties of the specific numbers in an expression will determine, to a certain extent, the structural interpretation that students assign to it. We therefore decided to investigate the relations between number combinations and structure interpretations in the context of numerical expressions. Rationale For the Design of the Tasks To investigate the above assumptions, we designed some student tasks. All the tasks were numerical expressions constructed according to the following considerations: We chose algebraic structures that the students were familiar with, for each of which we prepared three different numerical versions. In one version, the numerical combination encouraged operating according to the correct algebraic structure ("goes with"). In the second version, the numbers encouraged operating in a way that was opposed to the correct algebraic structure ("goes against"). In the third version, the numerical combination was "neutral"--that is, in our view, it did not encourage the solver to operate in either of these ways. Consider, for example, the following algebraic structure: a-bxc (a) The following numerical combination "goes with" the structure: 21-5x2 It is "easier" to first multiply 5 by 2 and then to subtract the 10 from 21. (b) The following combination "goes against" the structure: 127-27x15 It is "easier" to subtract 27 from 127 than to multiply 27 by 15. (c) A "neutral" numerical combination could take the following form: 20-5x3 as the two possibilities, multiplying first (5x3) or subtracting first (20-5), are equally appealing. A different sort of "neutral" combination is illustrated by: 13l/17x6 where both possibilities are equally unappealing. Method Stage 1 This study is one in a series of studies focusing on pre-algebraic thinking that were carried out in Canada and Israel as part of a long-term co-operation in this research area (Herscovics and Linchevski, 1994; Linchevski and Herscovics, 1994; Linchevski and Herscovics, 1996a; Linchevski and Livneh, 1999). In the first stage of the study, we interviewed all sixth graders (mean age=1 1.5) in two classes, that were compatible in terms of the curriculum studied, of the public school system, one in Israel (N=31) and one in Canada (N=28). All the students had learned the order of operations in class prior to the interview and had plenty of opportunities to drill and discuss equivalent numerical expressions. Each student was interviewed individually on two consecutive days. The length of each interview was 30 to 45 minutes. An observer was present at each interview to take notes, and also participated later in the analysis of the students' responses. Taking into consideration Kirshner's comments regarding the possible influence of visual cues on students' syntactic decisions (Kirshner, 1989), all items were typed and printed with equal spaces between operations and terms to avoid, as much as possible, any misleading visual cues. The expressions were ordered in a random way rather than in blocks of expressions with the same algebraic structure. The student was presented with each expression separately and told: Here is an exercise. Can you show me an "efficient" way to find the answer to this exercise? (It was clear to the students that by "efficient" we meant easy, not demanding a lot of paper work. There were no time limitations.) A simple calculator(2) was available to be used as a number-facts table when needed. During the interviews we documented, as accurately as possible, the students' procedures. We did not want to influence their procedures by overly interacting with them. However, after a student had completed the set of activities, we initiated a less structured discussion in order to gain more insight into his/her considerations. Since the differences between the students' results in the two classes were non-significant, we combined the data of both classes. Stage 2 In the second stage, we administered a written questionnaire (with the same items as in the interview) to 78 seventh graders (mean age = 12.5) in two classes that were compatible in terms of curriculum studied. All students had learned the order of operations and the relevant structural rules in class beforehand. The questionnaire was prepared in two versions: open-ended and multiple-choice. In both versions, the order of the items was the same as in the interviews. In the open-ended version of the questionnaire, the students (N=38) were asked to calculate the expressions and to write in their answers. In the multiple-choice version, the students (N=40) were asked to select one of three possible answers: the correct interpretation, the "biased" interpretation and a third interpretation based, when possible, on wrong answers students gave during the interviews. In both versions, they were asked to record all steps in as detailed a manner as possible. Results Table I displays success rates for each mode of data collecting (interview, open-ended questionnaire, multiplechoice questionnaire) and for each numerical version given to the algebraic structures ("goes with," "goes against," "neutral"). To facilitate analysis, we put the data for each set of three numerical versions together. The actual expressions and the different structural interpretations the students gave in the interview to each of the expressions are presented in Table 2. As Table 1 clearly shows, the numerical combination of an expression influences the way students interpret its structure. In all items, the success rate changes as the number combination changes (with the exception of Item 1 in the written questionnaires). Moreover, when the numerical combination "went with" the structure, the number of students who interpreted the structure correctly was usually higher than the success rate when the numerical combination "went against," For example, while 24+3x5 (Item 3A in Table 2) was interpreted correctly according to the algebraic structure by 91% of the students that were interviewed, only 62% of the students did so in 240/%15x2 (Item 3B in Table 2). In the first case, they calculated from left to right while, in the second, many of them first multiplied and then divided the first number by product. In the former case, the "seductive" numbers "pushed" them in the correct direction, while, in the latter, the numbers "distracted" them from it. Further discussions with the students This same tendency was found in all three modes of data collecting. However, we hesitate to compare the rates obtained in the interviews to those obtained from the questionnaires, since the populations were different. In respect to the comparison between the two questionnaires, we assumed that the alternative answers presented in the multiple-choice version would trigger alternative structures and induce structures that were not the first ones to be evoked by the expression. We did not know, however, what direction would take precedence, from the mistaken interpretation to the correct one or the other way around. The lower success rates in the multiplechoice questionnaire suggest that the students' structural knowledge is not stable, and being presented with a wrong alternative distracts them from the correct answer more frequently than the other way around. As mentioned above, immediately after a student was interviewed on the items appearing in Table 1, a less structured discussion was initiated. In these talks, we presented the student with numerical expressions that were very likely to induce a high rate of misinterpretation of the algebraic structure. During the discussions, many alternative interpretations - either correct or wrong - of the algebraic structure were recorded. The findings support our assumption: The numerical combination of an expression often governed student interpretations. Dror, for example, was presented with the exercise: 136-36+29. According to our categorization, the numbers in this expression "go with" the structure, since they encourage the correct order of operations. Dror, indeed, evaluated the expression correctly by going from left to right and gave 129 as an answer. Later on, during the discussion, he was asked to evaluate the expression: 154-20+20. Dr: First I will do 20+ 20, it 40, 154-40 equals 114. Dr: It doesn't make any sense, we better go here [pointing at 136-36+29], from left to right. I: I have a question. In a previous item, 136-36+29, you did something that was a bit different. You solved it from left to right; 136-36 equals 100, 100+29 equals 129. In this case [pointing at 154-20+20] you first added the 20s. Would it be OK also here [pointing at 136-36+29] to first add 36+29 and then to subtract the sum from 136? I: But you yourself, in the other example [pointing at 154-20+20], you first added 20+20. Dr. Here it makes sense because here it's easy I mean here it doesn't make any difference if I first add 20 and 20 and only then subtract it [the sum] from 154. I: I don't follow, so why in the first one it does? Dr: I don't know, you have to think before you do, maybe I could do it like that, but it's easier the other way. It is obvious that Dror violates the syntactic rules and changes strategies according to the specific numbers in the given expressions. He knows that he is supposed to go from left to right, but he also knows that sometimes "it makes more sense" to do things differently. When and why is not so clear. The two schemata he has in mind compete with each other. From the following conversation, it is obvious that Dror is not even aware that the two strategies would produce different numerical answers. I: Do you think that in both ways you would get the same result? Dr: [completely surprised] What do you mean? I: I mean, if we calculate by first adding the 20s and then subtracting 40 from 154 [pointing at the expression] or we calculate by going from left to right, 154 subtracting 20 and then adding 20, will we get the same result in both ways? Dr: It does not matter, the result is the same. ... My way is easier. I: Let's try. [Dror calculates in both ways, and realizes that he gets two different answers, He checks again.] Dr: It doesn't make sense. I have to think. Maybe you have to go from left to right... Inbal was asked to evaluate the three following expressions (which were not presented to her consecutively): (1) 90%5x2; (2) 36%3x2; (3) 27%9x2. In the first two expressions, Inbal multiplied before dividing, getting 9 as an answer for the first expression and 6 for the second. In the third expression, however, she first divided 27 by 9 and then multiplied the obtained 3 by 2, getting 6 as an answer. When asked to explain her moves, Inbal said that in the third expression she would also have first multiplied, but she "didn't want to get 1 and something as an answer" (she estimated that 27 divided by IS would not produce a whole number), and she "saw that here it's better to do it the other way " In her decisions of how to interpret an expression, Inbal used her "number sense." The less attractive interpretation is abandoned regardless of structural considerations. Ron was given the following exercises (not presented consecutively): (1) 540-20+20; (2) 90-20+30; (3) 13636+29. He solved exercises 2 and 3 sequentially, according to the correct order of operations, but in item 1, he first added the 20s and then subtracted the sum from 540. Upon being challenged, Ron explained: "Addition and subtraction are the same, so I see what is more convenient." It seems that Ron is aware of the order of operations but over-generalizes the rules, interpreting the phrase "multiplication and division before addition and subtraction" as "it does not matter what comes first, addition or subtraction, so we are allowed to do what is more convenient." In Ron's case, there is an interplay between numerical considerations and structural rules. He gives priority to numerical considerations, but he is aware of structural rules. Dan was given the same exercises as Ron. In the first two exercises he violated the order of operations by adding before subtracting (540-40,90-50). He was then told that some other student did it differently; the other student calculated the exercise by "going from left to right." Dan did not seem to experience any conflict. Da: That is also OK, but my way is easier I: Do you think that you and the other student would get the same answer? Da: Yes, ... I don't know [Dan was then asked to calculate in both ways. He got two different numerical answers.] He [the other student] did it his way and I did it my way Both ways are OK. Da: Take the case of Tern, who was asked: I: Is it OK to get two different results to the same exercise? I: Is it correct or incorrect that 100/5%5=100+1? Te: [looking at the numbers very carefully] Yes, it correct. I: Will you please explain to me why it is correct? Te: Because it is the same numbers: S and S. If it were 4 and 5, it would not be correct. (The interviewer is not sure if Terin means that the order of calculation will still be correct, but the result of 4 divided by 5 won't be 1, or, in the second case, it won't be correct to first divide 4 by 5 and only then to divide 100 by 4/5.) I: You mean that since here we have 5 and 5, it's correct, but if we had 4 and 5, it won't be correct? Can you please explain why? Te: Well, if it's 5 and 5, it gives I and it makes sense. 4 divided by 5, it's... it's simple the other way around, 100 divided by 4, it's simple, and then you just divide by 5. There were several instances in which students inserted mental or actual brackets where they previously had not existed, leading them to misinterpret the problem. For instance, Ortal solved 24+3x2 by inserting brackets aroun 3x2. When asked to explain, she said: "I put the brackets here so it will be easier to solve, there is no rule that prohibits it. " Roni put brackets around 7+3 in the expression 25-7+3, justifying it by: "There is no multiplication and division here, so there is nothing I have to give priority to, I do what is easier," Asaf, who solved 28-8%4+3x2 by putting actual brackets around 28-8, said: "I put brackets, since I see that it is 28-8, and you first do brackets, I solved it according to the rule." Being distracted by the 28-8, Asaf put brackets around 28-8, reconstructing the expression as (28-8)/4+3x2, and then declared that "you first do brackets." Discussion The results support our hypothesis that the specific number combination in each expression encourages the use of certain sequences of operations, either correct or incorrect, and discourages others, either correct or wrong. The particular number combination in the expression competes with the algebraic structure. Our results indicate that the specific number combination, often shifts the focus of attention from the structure to the numerical properties of the given terms in such a way that the meaning of the expression is changed and a wrong numerical value is assigned to it. It seems that certain number combinations, especially when combined with some specific mathematical operations, trigger deeply ingrained cognitive schemata which probably compete with the new structural perspective. The interaction between the structure and the specific number combination seems to explain, at least partially, what Greeno (1982) sees as random and inconsistent mistakes. Greeno claims that the difficulty confronting beginning algebra students is that they partition algebraic expressions into component parts in a way that seems aimless, mistaken and arbitrary. Our analysis suggests that this difficulty may stem at least partially from the competition between the structure and the biasing number combinations, which frequently encourage decomposition of the expression at the wrong points. The findings of our study suggest that numbers create a "numerical" context exactly as words create a "verbal" one. Numbers are loaded entities that have a considerable biasing effect on students' perception of the algebraic structure, comparable to the biasing effect words have on the perception of sentences. The numerical scheme and the structural scheme coexist, and the student is often unable to prioritize them or to integrate them as separate, yet interrelated schemata that sometimes might and sometimes might not be activated simultaneously. It seems that the traditional approach to the learning of the formal structure of expressions and propositions does not address the contextual influences. Part of the problem may be related to the development of number sense, which is an integral part of the early stages of teaching arithmetic. One of the components of number sense is mental calculation, which involves the invention of non-standard methods of calculation based on the properties of the specific numbers at hand (e.g., Markovitz and Sowder, 1994). Number sense entails using computational procedures flexibly in accordance with the given numbers. Thus, in developing number sense, attention is focused on the particular numbers involved in the calculation. This means that the bulk of the teacher's and students' attention in activities intended to develop number sense is devoted to the specific numbers used in the expression. This factor is the primary justification for replacing the standard algorithmic procedure with an alternative one. Furthermore, the goal of developing number sense often pushes the teacher to carefully choose the specific numbers and operations to be used in expressions presented to the students, so that non-standard solution procedures will lead to more elegant and efficient calculations. In other words, the development of number sense largely involves taking advantage of the properties of the numbers in the specific example. Number sense is developed in those educational stages in which considerations of algebraic structure are still only a secondary aspect of the learning process. The examples presented to students axe intended to provoke a search for relations between the numerical terms and encourage taking advantage of these relations. Often, these examples are designed, intentionally or not, to avoid any conflict between the immediate, spontaneous alternative procedure, governed by the type of numbers involved, and the algebraic structure. Thus, in evaluating an expression like 31+4+6, a solution process in which the 4 and 6 are grouped and evaluated before the 31 is added, as in 31+(4+6), will definitely be encouraged. Since children at this stage are not usually confronted with conflicting examples -where the structure of the expression restricts certain "tempting" grouping - they might over generalize the permitted flexibility. We have to be aware of Fischbein and colleagues' (Fischbein et al., 1985; Fischbein and Baltsa n, 1999) observations that children generalize the way they were initially taught in school before they develop a critical attitude, and that some mental behaviors tend to act beyond any formal control because these behaviors shape the facts at hand in a meaningful way. Fischbein and Baltsan (1999) challenge a widespread approach to the construction of mathematical schemata among children, whereby students are presented at earlier stages with activities and experiences that result in the construction of schemata that will have, at later stages, to be replaced by alternative ones. These researchers point out that this "replacement" process often does not lead to the extinction of the old scheme and its replacement by the new one, but rather that this old scheme re-emerges and the new one does not establish itself. They claim that many times an initial scheme becomes a tacit model. The strength of a tacit model is in its comprehensiveness; it acts as a structure, as a whole. In such a case, they argue, the init ial scheme molds the students' reasoning despite repeated instruction of alternative schemata later on. We find Fischbein and Baltsan's analysis relevant not only instances in which the old scheme is expected to become extinct and replaced by a new once but also to instances where the new and the old are expected to coexist. In the current study we found that numerical aspects of mathematical expressions often do not yield to structural aspects learned at later stages. The numerical perspectives of arithmetic that are the focus at early stages function later on as a tacit model and probably interfere with the establishment of "structure sense". The biasing number combination is, of course, not the only explanatory factor. Many wrong interpretations of the algebraic structure were observed even when the numbers and the structure supported each other rather than competed. For example, when calculating 43-5x2, 39% of the students mistakenly calculated the expression sequentially (subtracted 5 from 43 and multiplied the difference by 2) although the numbers at hand do not encourage this incorrect interpretation. Nonetheless, the numerical combination of an expression is one factor that may explain students' judgments and misinterpretations (on other factors and obstacles associated with students' difficulties in tackling the algebraic structure, see, e.g., Matz, 1980; Greeno, 1982; Booth, 1988; Kieran, 1988, 1992; Kirshner, 1989; Lins, 1990). This new factor offers a different angle for looking at students' interpretations of algebraic structures, and may suggest some alternative explanations for previously documented algebraic mistakes. Introducing school algebra as generalized arithmetic provides the opportunity to situate the structural rules of algebra in a meaningful context, since the rules may be justified on semantic grounds--in our case the numerical value of the expression--rather than syntactic ones--in our case formal algebraic structure (BloedyVinner, 1998). The students can make sense of the rules by experimenting with them in the "laboratory of numbers," and thus establish their meanings and validation via procedural views. However, the influence of the numerical contexts on students' perceptions should be taken into consideration when this route to algebra is chosen. Moreover, it is important to note that, while research on students' structural "bugs" in algebra is quite advanced and research on students' structural "bugs" in arithmetic exists, systematic research on the cognitive isomorphism between the two is limited. The link between arithmetic and algebra, although widely accepted, has not yet been thoroughly examined. The question of whether systematic work on "structure sense" within the world of numbers will lead students to a better understanding of algebra is still to be answered. Table 1 Student Interpretations (percentage of correct answers) per Number Combination and Method of Data Collection Item Structure 1) 2) 3) 4) 5) 6) 7) 8) 9) a-bxc a-b+c a/bxc axb/cxd a/b/c a-b+c+d a-b/c+dxe a-bxc+d a-b-c Item Structure 1) 2) 3) 4) 5) 6) 7) 8) a-bxc a-b+c a/bxc axb/cxd a/b/c a-b+c+d a-b/c+dxe a-bxc+d Mode of Data Collection + Number Combination Interview Open Ended goes goes neutral goes goes with against with against 61 87 91 62 83 73 69 73 91 33 69 62 47 62 56 44 49 66 52 78 67 47 71 77 49 51 87 92 81 84 49 100 90 44 65 90 Mode of Data Collection + Number Combination Open Ended Multiple Choice neutral goes goes neutral with against 92 84 73 39 91 94 32 53 87 75 80 60 82 78 38 67 87 60 58 49 82 77 29 56 89 71 69 58 84 84 18 56 92 71 62 40 86 79 29 41 75 9) a-b-c Table 2 89 86 72 81 Items Presented in Interview and Student Interpretations Item A "goes with" B "goes against" C "neutral" Item 1: a - b x c Multiplication first Subtraction first 43 - 5 x 2 61% 39% 47 - 7 x 5 33% 67% 47 - 3 x 5 52% 48% Item 2: a - b + c Subtraction first (a-b)+c Addition first a-(b+c) 27 - 7 + 5 87% 13% 27 - 7 + 3 69% 31% 28 - 5 + 3 78% 22% Item 3: a + b x c Division first (a+b)xc Multiplication first a+(bxc) 24 + 3 x 5 91% 8% 240 + 15 x 2 62% 38% 24 + 3 x 2 67% 33% Item 4: a x b + c x d 19x16+15x17 Left to right (axb)+(cxd) Other 8x5+2x17 150x2+2x50 62% 38% 0% 47% 49% 4% Item 5: a + b + c Left to right a+(b+c) Other 75+25+3 83% 11% 6% 75+9+3 62% 38% 0% Item 6: a - b + c + d Left to right a-(b+c+d) Other 168-20+10+30 73% 20% 7% 130-10+10+10 56% 38% 6% Item 7: a - b + c d x e a-(b+c)+(dxe) (a-b)+c+(dxe) Other 147-16+4+3x5 69% 21% 10% 37-5+2+4x3 44% 25% 31% Item 8: a - b x c + d a-(bxc)+d (a-b)xc+d Item 9: a - b -c 286 (a-b)-c a-(b-c) 56-2x3+20 73% 26 8725-725-386 91 9 57-7x4+20 49% 51 9420-575-575 66 34 47% 53% 0% 64+8+4 71% 29% 0% 450-25+15 77% 23% 0% 28-8+4+3x2 49% 31% 20% 54-2x8+20 51% 49 676-54787 13 (1.) The examples are taken from exam papers of seventh graders in two public schools in Israel. Neither these students nor their schools were included in our research population. (2.) By simple calculator we mean a calculator that does not follow conventions related to the order of operations. REFERENCES Arvaci, A. (1994). Symbol sense: Informal sense-making in formal mathematics. For the Learning of Mathematics, 14, 3, 24-35. Bell, A., Swan, M., & Taylor, G.(1981). Choice of operation in verbal problems with decimal numbers. Educational Studies in Mathematics, 2, 399-420. Bloedy-Vinner, H. (1998). The understanding of algebraic language in university preacademic students. Unpublished Ph.D. thesis, Hebrew University of Jerusalem, Israel. Booth, L.R.(1984). Algebra: Children's strategies and errors. Windsor, UK: NFER-Nelson. Booth, L.R. (1988). Children's difficulties in beginning algebra. In A.F. Coxford (Ed.), The ideas of algebra, K12. Reston, VA: National Council of Teachers of Mathematics, 20-32. Buxton, L. (1984). Mathematics for everyman. London, England: Dent. Collis, K.F. (1971). A study of concrete and formal reasoning in school mathematics. Australian Journal of Psychology 23, 3, 289-296. Davis, R.B. (1985). ICME-5 Report: Algebraic thinking in the early grades. The Journal of Mathematical Behavior, 4, 195-208. English, L.D., & Sharry, P.V. (1996). Analogical reasoning and the development of algebraic abstraction. Educational Studies in Mathematics, 30, 135-157. Fischbein, E., & Baltsan, M. (1999). The mathematical concept of set and the "collection" model. Educational Studies in Mathematics, 37, 1, 1-22. Fischbein, E., Deri, M., Nello, M.S., & Marine, M.S. (1985). The role of implicit models in solving verbal problems in multiplication and division. Journal for Research in Mathematics Education, 16, 1, 3-17. Garcia-Cruz, J., & Martinon, A. (1997). Actions and invariant in schemata in linear generalizing problems. In E. Pehkonen (Ed.), Proceedings of the 21st Conference of the International Group for the Psychology of Mathematics Education, 2, 289-296. Lahati, Finland. Greeno, J.G. (1982). A cognitive learning analysis of algebra. Paper presented at AERA, Boston, MA. Herscovics, N., & Linchevski, L. (1994). A cognitive gap between arithmetic and algebra. Educational Studies in Mathematics, 27, 1, 5 9-78. Kieran, C. (1988). Two different approaches among algebra learners. In A.F. Coxford (Ed.), The ideas of algebra, K-12. Reston, VA: National Council of Teachers of Mathematics, 91-96. Kieran, C. (1989). The early learning of algebra: A structural perspective. In S. Wagner and C. Kieran (Eds.), Research issues in the learning and teaching of algebra. Reston, VA: The National Council of Teachers of Mathematics and Laurence Erlbaum Associates, 33-56. Kieran, C. (1992). The learning and teaching of algebra. In D.A. Grouws (Ed.), Handbook of research on mathematics teaching and learning. New York: Macmillan, 390-419. Kieran, C., & Sfard, A. (1999). Seeing through symbols: The case of equivalent expressions. Focus on Learning Problems in Mathematics, 21, 1, 1-17. Kirshner, D. (1989). The visual syntax of algebra. Journal for Research in Mathematics Education, 20, 274-287. Kuchemann, D.E. (1981). Algebra. In K. Hart (Ed.), Children s understanding of mathematics: 11-16. London: Murray, 102-119. Lee, L. (1996). An initiation into algebraic culture through generalization activities. In N. Bednarz, C. Kieran, and L. Lee (Eds.), Approaches to algebra: Perspectives for research and teaching. Dordrecht, Netherlands: Kluwer, 87-107. Lee, L., & Wheeler, D. (1989).The arithmetic connection. Educational Studies in Mathematics, 20,41-54. Leonard, A. (1994). Psycho-semiotic theory and educational practice. Chreods, 8, 12-22. Linchevski, L., & Herscovics, N. (1994). Cognitive obstacles in pre-algebra. PME, 18, 4,257-265. Linchevski, L., & Herscovics, N. (1996a). Crossing the cognitive gap between arithmetic and algebra: Operating on the unknown in the context of equations. Educational Studies in Mathematics, 30,1, 39-65. Linchevski, L., & Herscovics, N. (1996b). Arithmetic and algebra education: Searching for the future. Spain: Universitat Rovira I Virgili. Linchevski, L., & Livneh, D. (1999). Structure sense: The relationship between algebraic and numerical contexts. Educational Studies in Mathematics, 40, 2, 173-196. Linchevski, L., & Nesher, P. (1978). The difference between naive and logical judgment. Studies in Education, 20, 27-95. Linchevski, L., Olivier, M., Sasman, M., & Liebenberg, R. (1998). Moments of conflicts and moments of conviction in generalizing. In A. Olivier and K. Newstead (Eds.), Proceedings of the 22nd Conference of the international Group for the Psychology of Mathematics Education, 3, 215-222. Stellenbosch, South Africa. Lins, R.L. (1990). A framework of understanding what algebraic thinking is. PME, 14, 2, 93-101. MacGregor, M. (1996). Curricular aspects of arithmetic and algebra. In J. Gimenez, R.C. Lins and B. Gomez (Eds.), Arithmetic and algebra education: Searching for the future. Spain: Universitat Rovira I Virgili, 50-54. MacGregor, M., & Stacey, K. (1993). Seeing a pattern and writing a rule. In I. Hirabayashi, N. Nohda, K. Shigematsu and F. Lin (Eds.), Proceedings of the 17th Conference of the International Group for the Psychology of Mathematics Education, 1, 18 1-188. Tsukuba, Japan. Markovitz, Z., & Sowder, J. (1994). Developing number sense: An intervention study in grade 7. Journal For Research in Mathematics Education, 25, 1, 4-30. Matz, M. (1980). Building a metaphoric theory of mathematical thought. Journal of Mathematical Behavior, 3, 1, 93-166. Milton, K. (1999). Students' understanding of the mathematical equality and inequality relations: A developmental approach. Unpublished thesis. Curtis University, Australia. Orton, J., & Orton, A. (1994). Students' perception and use of pattern and generalization. In J.P. da Ponte and J.F. Matos (Eds.), Proceedings of the 18th Conference of the International Group for the Psychology of Mathematics Education, 3, 407-414. Lisbon, Portugal. Sasman, M., Olivier, & Linchevski, L. (1999). Factors influencing student's generalization thinking processes. In 0. Zaslavski, Proceedings of the 23rd Conference of the International Group for the Psychology of Mathematics Education, 4, 161-168. Haifa, Israel. Smith, K.J. (1997). Mathematics: Its power and utility. Pacific Grove, CA: Brooks-Cole. Taplin, M. (1995). Special patterning: A pilot study pattern formation and generalization. In L. Meira and D. Carraher (Eds.), Proceedings of the 19th Conference of the International Group for the Psychology of Mathematics Education. 3, 42-49. Recifa, Brazil. Vergnaud, G. (1993). Multiplicative structures. In R. Lesh and M. Landau (Eds.), Acquisition of mathematics concepts and processes. New York: Academic Press. Walkerdine, V. (1982). From context to text: A psychosemiotic approach to abstract thought. In Beveridge, M. (Ed.), Children thinking through language. London: Edward Arnold. Walkerdine, V., & Corran, G. (1979). Cognitive development: A mathematical experience? Paper presented at the British Psychological Society Developmental Section Conference, Southampton. The study was partly funded by the S. Amitzur Unit for Research in Mathematics Education, at the Hebrew University of Jerusalem. The authors would like to thank Ms. Patricia Lytle for collecting the Canadian data, Ms. Rachel Bohadana for her contribution to Stage 2 of the study, and Ms. Helene Hogri for her editorial assistance. COPYRIGHT 2002 Center for Teaching - Learning of Mathematics COPYRIGHT 2003 Gale Group