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Knowledge of Traditional Arithmetic 1 RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE Disadvantages of Teaching 2 + 2 = 4: Knowledge of Traditional Arithmetic Hinders Understanding of Mathematical Equivalence Nicole M. McNeil University of Notre Dame Invited contribution to Child Development Perspectives [DRAFT 06/16/13]

RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

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Page 1: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 1

RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE

Disadvantages of Teaching 2 + 2 = 4:

Knowledge of Traditional Arithmetic Hinders Understanding of Mathematical Equivalence

Nicole M. McNeil

University of Notre Dame

Invited contribution to Child Development Perspectives [DRAFT 06/16/13]

Page 2: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 2

Abstract

Most elementary school children in the U.S. have misconceptions about mathematical

equivalence in symbolic form (e.g., 3 + 4 = 5 + 2, 14 = 8 + 6, 5 = 5). This is troubling because a

formal understanding of mathematical equivalence is necessary for success in algebra and all

higher-level mathematics. Historically, children’s difficulties with mathematical equivalence

have been attributed to something that children lack relative to adults (e.g., domain-general

logical structures, working memory capacity, proficiency with basic arithmetic facts). However,

growing evidence supports a “change-resistance” account, which suggests that children’s

difficulties are due to the inappropriate generalization of knowledge constructed from overly

narrow experience with arithmetic. This account has not only enhanced our understanding of the

nature of children’s difficulties with mathematical equivalence, but also helped us identify some

of the malleable factors that can be changed to improve children’s understanding of this

fundamental concept.

Page 3: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 3

Children across the age range exhibit a variety of misconceptions when solving

seemingly straightforward mathematics problems. For example, preschoolers think that volume

of liquid in a beaker changes after it is poured into a new beaker of a different size (Piaget &

Szeminska, 1941/1995), elementary school children assume that subtraction always entails

subtracting the smaller digit from the larger digit (Brown & VanLehn, 1988), and middle school

children misinterpret literal symbols as labels, rather than as variables representing numerical

values (e.g., “c” stands for “cakes” rather than for the number of cakes, McNeil, Weinberg, et al.,

2010). Such misconceptions are some of the most widely studied phenomena in cognitive

development because they present a window into how the mind works—how it imposes structure

on incoming information and how it generalizes old knowledge to new situations. Moreover, by

studying children’s misconceptions, we can identify the mechanisms that enable children to

achieve conceptual change, which may lead to the development of effective interventions to

foster success in mathematics.

Over the past several decades, researchers in cognitive development and mathematics

education have been studying the misconceptions elementary school children exhibit when

solving problems designed to assess their understanding of mathematical equivalence in

symbolic form. Mathematical equivalence is the relation between two quantities that are

interchangeable (Kieran, 1981), and its symbolic form specifies that the two sides of a

mathematical equation are equal and interchangeable (e.g., 3 + 4 = 5 + 2). A formal

understanding of mathematical equivalence involves understanding the equal sign as a relational

symbol of equality (Knuth, Stephens, McNeil, & Alibali, 2006). It also involves looking at

arithmetic expressions and mathematical equations in their entirety and noticing number

relations among and within these expressions and equations (Jacobs, Franke, Carpenter, Levi, &

Page 4: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 4

Battey, 2007). Children who have a formal understanding of mathematical equivalence do not

view an arithmetic problem simply as a signal to carry out a computational procedure in a step-

by-step sequence. Instead, they look at the whole problem and identify the relation being

expressed before beginning to calculate (Jacobs et al., 2007). Unfortunately, most children in the

U.S. do not have a formal understanding of mathematical equivalence (Baroody & Ginsburg,

1983; Falkner, Levi, & Carpenter, 1999; Kieran, 1981).

Why Study Children’s Understanding of Mathematical Equivalence?

There are at least two compelling reasons to study children’s understanding of

mathematical equivalence. First, mathematical equivalence is a well-defined domain that can be

used as a tool for advancing theory and testing hypotheses about the nature of cognitive

development. Indeed, studies of children’s understanding of mathematical equivalence have

allowed researchers to gain insight into important theoretical issues in cognitive development,

such as the nature of the transition from one knowledge state to another (Alibali, 1999; Goldin-

Meadow, Alibali, & Church, 1993); the relations between conceptual and procedural knowledge

(Perry, 1991; Rittle-Johnson & Alibali, 1999); the effects of achievement goals on learning

(McNeil & Alibali, 2000); the role of gesture in the learning process (Cook, Mitchell, & Goldin-

Meadow, 2008; Singer & Goldin-Meadow, 2005); the importance of self-explanation for

conceptual change (Rittle-Johnson, 2006; Siegler, 2002); the context-dependent nature of newly

developing knowledge (McNeil & Alibali, 2005; Sherman & Bisanz, 2009); and the benefits of

comparison for promoting conceptual understanding (Hattikudur & Alibali, 2010).

In addition to being an ideal tool for studying theoretical issues, children’s understanding

of mathematical equivalence is practically important because it is widely regarded as one of the

Page 5: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 5

most important concepts for developing children’s algebraic thinking (Blanton & Kaput, 2005;

Falkner et al., 1999; Knuth et al., 2006). The National Mathematics Advisory Panel (2008)

identified “preparation of students for entry into, and success in, Algebra” as a paramount

concern for our nation. Many students in the U.S. struggle to understand fundamental algebraic

concepts and procedures (Knuth et al., 2006; MacGregor & Stacey, 1997; Sfard, 1991), and this

prevents them from gaining admittance into universities and skilled professions (Moses & Cobb,

2001; NRC, 1998). In fact, some experts have even suggested that difficulty with algebra is the

major academic reason for high school and college dropout (Hacker, 2012). Thus, it is valuable

to study children’s understanding of mathematical equivalence because it may lead to important

interventions that help children prepare for and succeed in algebra and beyond.

Explaining Children’s Difficulties with Mathematical Equivalence

Children’s difficulties with mathematical equivalence are most apparent when children

are asked to solve equations that have operations on both sides of the equal sign (e.g., 3 + 7 + 5 =

3 + __, Perry, Church, & Goldin-Meadow, 1988). Although these “mathematical equivalence

problems” are not typically included in traditional K-8 curricula (McNeil et al., 2006; Powell,

2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children

(ages 7-11) across studies in the U.S. solve the problems correctly. This statistic is embarrassing

given that well over 90% of elementary school students in China solve them correctly (Li, Ding,

Capraro, & Capraro, 2008).

What’s even more unfortunate is that children’s misconceptions are not easily “undone”

by interventions. Some children fail to learn from interventions altogether (e.g., Jacobs et al.,

2007; Rittle-Johnson & Alibali, 1999). Other children seem to learn, but then fail to transfer their

Page 6: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 6

knowledge to mathematical equivalence problems that differ in terms of surface features (e.g.,

Alibali, Phillips, & Fischer, 2009; Perry, 1991). Still other children seem to learn and transfer,

but then revert back to their original incorrect ways of thinking just a few weeks after initial

learning (e.g., Cook et al., 2008; McNeil & Alibali, 2000).

The key question is why—why do children have such difficulties with mathematical

equivalence? Historically, many theories attributed difficulties to something that children lack

relative to adults. For example, a Piagetian account attributes difficulties to children’s lack of

particular domain-general logical structures for coordinating equivalence relations (Kieran, 1981;

Piaget & Szeminska, 1941/1995). Other accounts attribute difficulties to children’s lack of a

mature working memory system, which may be necessary for holding both sides of equations in

mind at the same time as computations are performed on the numbers (Case, 1978). Still other

accounts might attribute difficulties to children’s lack of proficiency with basic arithmetic facts

(Kaye, 1986).

In contrast to these accounts, however, a growing literature suggests that children’s

difficulties with mathematical equivalence are due, at least in part, to children’s early

experiences with mathematics (Baroody & Ginsburg, 1983; Li et al., 2008; McNeil & Alibali,

2005b; Seo & Ginsburg, 2003). Davydov (1969/1991) provided some of the first evidence by

showing that children as young as first grade could learn algebraic concepts, including

mathematical equivalence. Since then, international studies have shown that children in China,

Korea, and Turkey exhibit a better understanding of math equivalence than their same-age peers

in the U.S. (Capraro, Capraro, Yetkiner, Ozel, Kim, & Corlu, 2010). Even studies within the U.S.

have shown that several months of targeted conceptual instruction can improve children’s

understanding of mathematical equivalence (e.g., Baroody & Ginsburg, 1983; Jacobs et al.,

Page 7: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 7

2007; Saenz-Ludlow & Walgamuth, 1998). Taken together, these studies have shown that

children’s understanding of math equivalence is dependent on the early learning environment,

rather than being tied to a particular age or stage of cognitive development.

A “change-resistance” account has been used to explain how the early learning

environment negatively affects the development of children’s understanding of mathematical

equivalence (McNeil & Alibali, 2005b). This account was inspired by classic “top-down”

approaches to learning and cognition (e.g., Luchins, 1942; Rumelhart, 1980) and by

developmental theories that focus on the role of domain-general statistical learning mechanisms

in development (e.g., Rogers, Rakison, & McClelland, 2004; Saffran, 2003). It suggests that

children’s difficulties with mathematical equivalence are due, at least in part, to something that

children have—knowledge of traditional arithmetic. According to this account, children (often

subconsciously and incidentally) detect and extract the patterns routinely encountered in

arithmetic and construct long-term memory representations to serve as their default

representations in mathematics. While such representations are typically beneficial (e.g., Chase

& Simon, 1973), they can become entrenched, and learning difficulties arise when to-be-learned

information overlaps with, but does not map directly onto, entrenched patterns (e.g., Bruner,

1957). Similar to other theories that focus on the mechanism of change resistance in cognitive

development (e.g., Munakata, 1998; Thelen & Smith, 1994; Zevin & Seidenberg, 2002), this

account suggests that the knowledge children construct early on plays a central role in shaping

and constraining the path of development. It attributes children’s difficulties with mathematical

equivalence to constraints and misconceptions that emerge as a consequence of prior learning,

rather than to general conceptual, procedural, or working memory limitations in childhood.

Page 8: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 8

In support of these ideas, studies have shown that children’s difficulties with

mathematical equivalence stem from children’s representations of patterns routinely encountered

in arithmetic (McNeil & Alibali, 2004; McNeil & Alibali, 2005b). In the U.S., children learn

arithmetic in a procedural fashion for years before they learn to reason about equations as

relations of mathematical equivalence. Moreover, arithmetic problems are usually presented with

operations to the left of the equal sign and the “answer” to the right (e.g., 3 + 4 = 7, McNeil et

al., 2006; Seo & Ginsburg, 2003). This format does not highlight the interchangeable nature of

the two sides of an equation. As a result of this narrow experience, children extract patterns that

do not generalize beyond arithmetic. These patterns have been deemed operational patterns

because they are derived from experience with arithmetic operations, and they reflect operational

rather than relational thinking (McNeil & Alibali, 2005b). First, children learn a perceptual

pattern related to the format of mathematics problems, namely the “operations on left side”

format (Alibali et al., 2009; Cobb, 1987; McNeil & Alibali, 2004). Second, children learn the

strategy ‘‘perform all given operations on all given numbers’’ (McNeil & Alibali, 2005b). Third,

children learn to interpret the equal sign operationally as a “do something” symbol (Baroody &

Ginsburg, 1983; Behr, Erlwanger, & Nichols 1980; Kieran, 1981; McNeil & Alibali, 2005a).

Subsequently, these representations become entrenched and children rely on them as their default

representations when encoding, interpreting, and solving mathematics problems.

Although relying on these operational patterns may be helpful when children are working

on traditional arithmetic problems (e.g., 3 + 4 = __), they are unhelpful when children have to

encode, interpret, or solve mathematical equivalence problems (e.g., 7 + 4 + 5 = 7 + __). For

example, when asked to reconstruct the problem “7 + 4 + 5 = 7 + __” after viewing it briefly,

many children rely on their knowledge of the “operations on left side” problem format and write

Page 9: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 9

“7 + 4 + 5 + 7 = __” (McNeil & Alibali, 2004). When asked to define the equal sign in a

mathematical equivalence problem, many children treat it like an arithmetic operator (like + or -)

that means “calculate the total” (McNeil & Alibali, 2005a). When asked to solve the problem “7

+ 4 + 5 = 7 + __,” many children rely on their knowledge of the “perform all given operations on

all given numbers” strategy and put 23 (instead of 9) in the blank (McNeil, 2007; Rittle-Johnson,

2006). Taken together, these findings suggest that children’s difficulties with mathematical

equivalence are due, at least in part, to inappropriate generalization of knowledge constructed

from overly narrow experience with arithmetic in the early school years.

Novel Predictions of the Change-Resistance Account

In addition to providing valuable information about the sources of children’s difficulties

with mathematical equivalence, the change-resistance account also leads to some novel

predictions, many of which have been supported empirically. For example, most theories predict

that performance on math equivalence problems should improve with age. Indeed,

“‘performance improves with age’ is as close to a law as any generalization that has emerged

from the study of cognitive development” (Siegler, 2004, p. 2). However, the change-resistance

account predicts that performance should actually get worse in the early school years before it

gets better. This is because as children progress from first to third grade, they continue to gain

narrow practice with arithmetic, so they are strengthening the very knowledge structures

hypothesized to hinder performance on mathematical equivalence problems. This prediction was

supported in two studies (McNeil, 2007). Children (ages 7-11) were asked to solve a set of 12

mathematical equivalence problems. Over half of the children solved zero problems correctly,

but the percentage of children who were able to solve at least one problem correctly varied

Page 10: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 10

curvilinearly as a function of age. As predicted, 8-9-year-olds were the least likely to solve a

problem correctly. These findings suggest that understanding of the problems gets worse before

it gets better.

A change-resistance account also challenges the widespread belief that practice with

basic arithmetic facts should uniformly improve performance on higher-level math problems.

This belief is rooted in the Decomposition Thesis (Anderson, 2002), which suggests that a

complex skill can be decomposed into component “sub-skills” and that practice on those sub-

skills facilitates learning and execution of the complex skill. The logic is simple: when learners

do not have sufficient proficiency with the sub-skills, their cognitive resources are committed to

controlling the step-by-step execution of those sub-skills and are largely unavailable for other

processes, such as encoding novel problem formats or generating new strategies. In contrast,

when learners have sufficient practice with sub-skills, cognitive resources can be allocated away

from those sub-skills to other processes (e.g., Carnine, 1980; Kaye, 1986). These ideas have been

invoked by researchers and grassroots lobbying groups to advocate for “back to basics” math

instruction. Such groups argue that the key to improving performance in algebra is by drilling

children on arithmetic facts until they are proficient. A change-resistance account, however,

predicts that concentrated practice with traditional arithmetic will hinder understanding of

mathematical equivalence because it should activate and strengthen narrow representations of the

operational patterns. This prediction was supported in a series of experiments with

undergraduates who had attended elementary school in the U.S. (McNeil et al., 2010).

Participants were randomly assigned either to an arithmetic practice condition (e.g., 3 + 4) or to

one of several control conditions. After practicing arithmetic or participating in a control

condition, participants solved a set of mathematical equivalence problems under speeded

Page 11: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 11

conditions. As predicted, participants were less likely to solve a mathematical equivalence

problem correctly after practicing arithmetic than after participating in one of the control

conditions. This result supports the idea that practice with arithmetic activates overly narrow

representations that hinder performance on mathematical equivalence problems.

The consequences of traditional arithmetic practice are unacceptable, but eliminating

arithmetic practice altogether is not a viable alternative. Children need to know how to solve

addition and subtraction problems before they can solve higher-order mathematics problems

correctly. Fortunately, the acquisition of operational patterns is not inevitable. Indeed, as

mentioned previously, children in China do not demonstrate evidence of relying on the

operational patterns (Li et al., 2008). Moreover, even after receiving concentrated practice with

arithmetic, undergraduates who received their elementary education in Asian countries do not

resort to solving mathematical equivalence problem incorrectly (McNeil et al., 2010).

The change-resistance account suggests—and indeed research has born out—that small

modifications can be made to traditional arithmetic practice to help children construct a better

understanding of mathematical equivalence. The specific modifications that have been shown to

be beneficial are modifications designed to prevent children from extracting, representing,

activating, and/or applying the overly narrow operational patterns. For example, one experiment

found beneficial effects of modifying the traditional arithmetic problem format (McNeil, Fyfe,

Petersen, Dunwiddie, & Brletic-Shipley, 2011). Children in the experiment were randomly

assigned to practice arithmetic in one of three conditions: (a) traditional format, in which

problems were presented in the traditional “operations on left side” format, such as 9 + 8 = __,

(b) nontraditional format, in which problems were presented in a “operations on right side”

format, such as __ = 9 + 8, or (c) no extra practice, in which children did not receive any

Page 12: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 12

practice over and above what they ordinarily receive at school and home. As predicted, children

who received practice with problems presented in a nontraditional format constructed a

significantly better understanding of mathematical equivalence than children who participated in

the other conditions. This finding not only supported the predictions of a change-resistance

account, but also corresponded to the recommendations of educators. Indeed, mathematics

educators have long called for more diverse, richer exposure to a variety of problem types from

the beginning of formal schooling (e.g., Blanton & Kaput, 2005; Hiebert et al. 1996; NCTM,

2000). Several of these experts have suggested that children may benefit from seeing

nontraditional arithmetic problem formats (Baroody & Ginsburg, 1983; Denmark, Barco, &

Voran, 1976; MacGregor & Stacey, 1999; Seo & Ginsburg, 2003).

Two additional modifications to traditional arithmetic practice have also been shown to

improve children’s understanding of mathematical equivalence. The first is organizing problems

into practice sets based on equivalent values (e.g., 2 + 5 = __, 3 + 4 = __, 6 + 1 = __) instead of

iteratively based on the traditional addition table (e.g., 1 + 1 = __, 1 + 2 = __, 1 + 3 = __)

(McNeil, Chesney, Matthews, Fyfe, Petersen, & Dunwiddie, 2012). The second is using

relational words such as “is equal to” and “is the same amount as” in place of the equal sign in

some practice problems (Chesney, McNeil, Brockmole, & Kelley, 2013).

Recently, these three modifications were combined into a “nontraditional” arithmetic

practice workbook and experimentally compared to a traditional arithmetic practice workbook

(McNeil et al., 2013). The only difference between the nontraditional and traditional workbooks

was whether the problems were presented in the modified or traditional ways (see Figure 1 for

excerpts from the workbooks). Children within second grade classrooms were randomly assigned

to use one of the two workbooks for 15 minutes per day, two days per week, for 12 weeks. As

Page 13: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 13

predicted, children who used the nontraditional workbook constructed a better understanding of

mathematical equivalence than did children who used the traditional workbook, and this

advantage persisted approximately 5-6 months after the workbook practice had ended. These

results suggest that relatively small modifications to the organization and format of arithmetic

practice can yield benefits to children’s understanding of mathematical equivalence.

Although modifications to traditional arithmetic practice facilitate children’s

understanding of mathematical equivalence, such modifications may not be enough on their own

to completely eradicate children’s reliance on the operational patterns, particularly when the

patterns are already entrenched (Denmark, Barco, & Voran, 1976). Children start to informally

interpret addition as a unidirectional process even before the start of formal schooling (Baroody

& Ginsburg, 1983), and they start to apply the operational patterns to arithmetic problems at least

as early as first grade (e.g., Falkner et al., 1999). According to this perspective, arithmetic

problems may activate representations of the operational patterns to some degree, regardless of

the format in which the problems are presented. Thus, when teaching children about the equal

sign, it may be necessary to get rid of the arithmetic altogether and present the equal sign in other

contexts (e.g., 28 = 28) first, so children can solidify a relational view before moving on to a

variety of arithmetic problem formats (Baroody & Ginsburg, 1983; Denmark et al., 1976;

Renwick, 1932).

This hypothesis not only follows directly from previous research, but also corresponds to

the way the equal sign is introduced in China. Recall that well over 90% of elementary school

children in China solve mathematical equivalence problems correctly (Capraro et al., 2010; Li et

al., 2008), compared to only ~20% of same-aged children in the U.S. Li and colleagues (2008)

suggest that the large discrepancy in understanding between children in the U.S. and China is

Page 14: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 14

due, at least in part, to differences in both the format and sequence of problems that children

learn. For example, in contrast to mathematics textbooks in the U.S., mathematics textbooks in

China often introduce the equal sign in a context of equivalence relations first and only later

embed the sign within mathematical equations involving arithmetic operators and numbers. A

classroom-based experiment also supported this hypothesis (McNeil, 2008). In the experiment,

children were randomly assigned to receive lessons on the meaning of the equal sign while

looking at either arithmetic problems (e.g., 15 + 13 = 28), or non-arithmetic problems (e.g., 28 =

28). As predicted, children learned more from lessons on the meaning of the equal sign when

those lessons were given outside of an arithmetic context than when they were given in the

context of arithmetic problems. These results suggest that children may have difficulty learning

about mathematical equivalence in the context of arithmetic problems, so it may be beneficial for

educators to introduce the equal sign in the context of equivalence relations first before

embedding the equal sign within mathematical equations involving arithmetic operations.

Future Directions

Despite the progress we have made over the past two decades in terms of understanding

the nature of children’s difficulties with mathematical equivalence, there are at least three critical

questions that remain unanswered. First, what are the origins of individual differences in

children’s early understanding of mathematical equivalence? We know that most children in the

U.S. struggle to understand mathematical equivalence; however, a substantial minority develops

a correct understanding, despite attending the same schools and receiving the same narrow

experiences with arithmetic. No research to date has systematically addressed the factors that

give rise to these individual differences. My research team and I are currently conducting a

Page 15: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 15

longitudinal study to assess which skills in kindergarten prospectively predict children’s

understanding of mathematical equivalence in second grade.

Second, what are the long-term consequences of having a poor understanding of

mathematical equivalence? We know that children’s misconceptions about mathematical

equivalence are robust and long-term, persisting among middle school, high school, and even

college students (Knuth et al., 2006; McNeil & Alibali, 2005; Renwick, 1932). The general

assumption is that a better understanding of mathematical equivalence in the early grades leads

to greater success in mathematics as children progress through school, into algebra, and beyond.

However, this key assumption has never been directly tested. Lack of such evidence is a critical

problem because, without it, it is difficult to determine if improving children’s understanding

should be a priority for parents and schools. My research team and I are currently conducting a

longitudinal study to assess if children’s understanding of math equivalence in second grade

prospectively predicts their math achievement and algebra readiness in subsequent years, after

controlling for other important predictors such as IQ and socio-economic status.

Third, what combination of lessons and activities will help all children achieve deep,

long-lasting improvements in understanding of mathematical equivalence? As mentioned above,

we already know of several small-scale component interventions that help improve children’s

understanding of mathematical equivalence when compared to control interventions. However,

none of the interventions to date have produced anything close to mastery-level understanding of

mathematical equivalence in all (or even in most) participating children. This result should not

be used to criticize previous interventions because they were designed to test theoretical claims

about the mechanisms involved in children’s understanding of mathematical equivalence. They

all successfully advanced that goal and helped us identify the malleable factors that can be

Page 16: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 16

changed to improve understanding of math equivalence. However, if the ultimate goal is to

leverage these theoretical advances to encourage systemic changes in mathematics education,

then we have to move beyond cataloging the malleable factors to developing a comprehensive

intervention that produces mastery-level understanding in most children. My research team and I

are currently drawing on the existing research literature and working with our teacher

collaborator to develop a comprehensive intervention that is easy for teachers, parents, and tutors

to administer in schools, after-school programs, and homes.

Overall, research on children’s understanding of mathematical equivalence has been and

will continue to be well aligned with Newcombe et al.’s (2009) recommendation for scientists to

conduct research that fits into Pasteur’s Quadrant (i.e., “basic research that is also use inspired”

p. 539). This research allows us to enhance our understanding of the basic psychological

processes involved in the development of mathematical thinking while also finding evidence-

based solutions to a critical educational problem.

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Knowledge of Traditional Arithmetic 17

References

Alibali, M. W. (1999). How children change their minds: Strategy change can be gradual or

abrupt. Developmental Psychology, 35, 127-145. doi: 10.1037/0012-1649.35.1.127

Alibali, M. W., Phillips, K. M., & Fischer, A. D. (2009). Learning new problem-solving

strategies leads to changes in problem representation. Cognitive Development, 24(2), 89-

101. doi: 10.1016/j.cogdev.2008.12.005

Anderson, J. R. (2002). Spanning seven orders of magnitude: A challenge for cognitive

modeling. Cognitive Science, 26, 85-112. doi: 10.1207/s15516709cog2601_3

Baroody, A. J., & Ginsburg, H. P. (1983). The effects of instruction on children's understanding

of the "equals" sign. Elementary School Journal, 84, 199-212.

Behr, M., Erlwanger, S., & Nichols, E. (1980). How children view the equal sign. Mathematics

Teaching, 92, 13-15.

Blanton, M. L., & Kaput, J. J. (2005). Characterizing a classroom practice that promotes

algebraic reasoning. Journal for Research in Mathematics Education, 36, 412-446.

Brown, J. S., & VanLehn, K. (1988). Repair theory: A generative theory of bugs in procedural

skills. In A. Collins & E. E. Smith (Eds.), Readings in Cognitive Science (pp. 338-361).

Los Altos, CA: Morgan Kaufmann. (Reprinted from Cognitive Science, 4, 379-426,

1980).

Bruner, J. S. (1957). On perceptual readiness. Psychological Review, 2, 123-152. doi:

10.1037/h0043805

Capraro, R. M., Capraro, M. M., Yetkiner, A. E., Ozel, S., Kim, H. G., & Corlu, M. S. (2010).

An international comparison of grade 6 students' understanding of the equal sign.

Psychological Reports, 106, 49-53. doi: 10.2466/pr0.106.1.49-53

Page 18: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 18

Carnine, D. (1980). Three procedures for presenting minimally different positive and negative

instances. Journal of Educational Psychology, 72(4), 452-56. doi: 10.1037/0022-

0663.72.4.452

Case, R. (1978). Intellectual development from birth to adulthood: A neo-Piagetian approach. In

R. S. Siegler (Ed.), Children’s thinking: What develops? Hillsdale, NJ: Erlbaum.

Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4, 55-81. doi:

10.1016/0010-0285(73)90004-2

Chesney, D. L., McNeil, N. M., Brockmole, J. R., & Kelley, K. (2013). An eye for relations: eye-

tracking indicates long-term negative effects of operational thinking on understanding of

math equivalence. Memory & Cognition, 1-17.

Cobb, P. (1987). An investigation of young children's academic arithmetic contexts. Educational

Studies in Mathematics, 18, 109-124. doi: 10.1007/BF00314722

Cook, S. W., Mitchell, Z., & Goldin-Meadow, S. (2008). Gesturing makes learning last.

Cognition, 106(2), 1047-1058. doi: 10.1016/j.cognition.2007.04.010

Davydov, V. (Ed.). (1969/1991). Soviet studies in mathematics education, Vol. 6. Psychological

abilities of primary school children in learning mathematics. Reston, VA: National

Council of Teachers of Mathematics.

Denmark, T., Barco, E., & Voran, J. (1976). Final report: A teaching experiment on equality.

PMDC Technical Report No. 6. Tallahassee, FL: Florida State University.

Falkner, K. P., Levi, L., & Carpenter, T. P. (1999). Children's understanding of equality: A

foundation for algebra. Teaching Children Mathematics, December, 232-236.

Page 19: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 19

Goldin-Meadow, S., Alibali, M. W., & Church, R. B. (1993). Transitions in concept acquisition:

Using the hand to read the mind. Psychological Review,100 (2), 279-297.

doi:10.1037/0033-295X.100.2.279

Hacker, A. (2012). Is Algebra Necessary?. New York Times, 29.

Hattikudur, S., & Alibali, M. W. (2010). Learning about the equal sign: Does comparing with

inequality symbols help?. Journal of Experimental Child Psychology, 107(1), 15-30. doi:

10.1016/j.jecp.2010.03.004

Hiebert, J., Carpenter, T. P., Fennema, E., Fuson, K., Human, P., Murray, H., & Wearne, D.

(1996). Problem solving as a basis for reform in curriculum and instruction: The case of

mathematics. Educational Researcher, 25(4), 12-21. doi: 10.3102/0013189X025004012

Jacobs, V. R., Franke, M. L., Carpenter, T. P., Levi, L., & Battey, D. (2007). Professional

development focused on children's algebraic reasoning in elementary school. Journal for

Research in Mathematics Education, 38, 258-288.

Kaye, D. B. (1986). The development of mathematical cognition. Cognitive Development, 1(2),

157-170. doi: 10.1016/S0885-2014(86)80017-X

Kieran, C. (1981). Concepts associated with the equality symbol. Educational Studies in

Mathematics, 12, 317-326. doi: 10.1007/BF00311062

Knuth, E. J., Stephens, A. C., McNeil, N. M., & Alibali, M. W. (2006). Does understanding the

equal sign matter? Evidence from solving equations. Journal for Research in

Mathematics Education, 37, 297-312.

Li, X., Ding, M., Capraro, M. M., & Capraro, R. M. (2008). Sources of differences in children's

understanding of mathematical equality. Cognition and Instruction, 26, 1-23. doi:

10.1080/07370000801980845

Page 20: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 20

Luchins, A. S. (1942). Mechanization in problem solving. Psychological Monographs, 54 (6,

Whole No. 248).

MacGregor, M., & Stacey, K. (1997). Students' understanding of algebraic notation: 11-15.

Educational Studies in Mathematics, 33, 1-19. doi: 10.1023/A:1002970913563

MacGregor, M., & Stacey, K. (1999). A flying start to algebra. Teaching Children Mathematics,

6, 78-85.

McNeil, N. M. (2008). Limitations to teaching children 2+ 2= 4: Typical arithmetic problems

can hinder learning of mathematical equivalence. Child Development, 79(5), 1524-1537.

doi: 10.1111/j.1467-8624.2008.01203.x

McNeil, N. M. (2007). U-shaped development in math: 7-year-olds outperform 9-year-olds on

equivalence problems. Developmental Psychology, 43, 687-695. doi: 10.1037/0012-

1649.43.3.687

McNeil, N. M., & Alibali, M. W. (2000). Learning mathematics from procedural instruction:

Externally imposed goals influence what is learned. Journal of Educational Psychology,

92, 734-744. 10.1037/0022-0663.92.4.734

McNeil, N. M., & Alibali, M. W. (2004). You’ll see what you mean: Students encode equations

based on their knowledge of arithmetic. Cognitive Science, 28(3), 451-466.

McNeil, N. M., & Alibali, M. W. (2005). Knowledge change as a function of mathematics

experience: All contexts are not created equal. Journal of Cognition and Development,

6(2), 285-306. doi: 10.1207/s15327647jcd0602_6

McNeil, N. M., & Alibali, M. W. (2005b). Why won't you change your mind? Knowledge of

operational patterns hinders learning and performance on equations. Child Development,

76, 1-17. doi:10.1111/j.1467-8624.2005.00884.x

Page 21: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 21

McNeil, N. M., Chesney, D. L., Matthews, P. G., Fyfe, E. R., Petersen, L. A., Dunwiddie, A. E.,

& Wheeler, M. C. (2012). It pays to be organized: Organizing arithmetic practice around

equivalent values facilitates understanding of math equivalence. Journal of Educational

Psychology, 104(4), 1109-1121. doi: 10.1037/a0028997

McNeil, N. M., Fyfe, E. R., Petersen, L. A., Dunwiddie, A. E., & Brletic-Shipley, H. (2011).

Benefits of practicing 4 = 2 + 2: Nontraditional problem formats facilitate children's

understanding of mathematical equivalence. Child Development, 82(5), 1620-1633.

doi: 10.1111/j.1467-8624.2011.01622.x

McNeil, N. M., Grandau, L., Knuth, E. J., Alibali, M. W., Stephens, A. C., Hattikudur, S., et al.

(2006). Middle-school students' understanding of the equal sign: The books they read

can't help. Cognition and Instruction, 24, 367-385. doi: 10.1207/s1532690xci2403_3

McNeil, N. M., Weinberg, A., Hattikudur, S., Stephens, A. C., Asquith, P., Knuth, E. J., &

Alibali, M. W. (2010). A Is for" Apple": Mnemonic Symbols Hinder the Interpretation of

Algebraic Expressions. Journal of Educational Psychology, 102(3), 625-634. doi:

10.1037/a0019105

Moses, R., & Cobb, C. (2001). Radical equations: math literacy and civil rights. Boston, MA:

Beacon Press.

Munakata, Y. (1998). Infant perseveration and implications for object permanence theories: A

PDP model of the A-not-B task. Developmental Science, 1, 161-211. doi: 10.1111/1467-

7687.00021

National Council of Teachers of Mathematics. (2000). Principles and standards for school

mathematics. Reston, VA: Author.

Page 22: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 22

National Mathematics Advisory Panel. (2008). Foundations for Success: The Final Report of the

National Mathematics Advisory Panel. Washington, DC, 2008: U.S. Department of

Education.

National Research Council. (1998). The nature and role of algebra in the K-14 curriculum.

Washington, DC: National Academy Press.

Newcombe, N. S., Ambady, N., Eccles, J., Gomez, L., Klahr, D., Linn, M., Miller, K., & Mix, K.

(2009). Psychology’s role in mathematics and science education. American Psychologist,

64 (6), 538-550. doi: 10.1037/a0014813

Perry, M. (1991). Learning and transfer: Instructional conditions and conceptual change.

Cognitive Development, 6, 449-468. doi: 10.1016/0885-2014(91)90049-J

Perry, M., Church, R. B., & Goldin-Meadow, S. (1988). Transitional knowledge in the

acquisition of concepts. Cognitive Development, 3, 359-400. doi: 10.1016/0885-

2014(88)90021-4

Piaget, J., & Szeminska, A. (1995). The child's conception of number (C. Gattegno & F. M.

Hadgson, Trans.). In H. E. Gruber & J. J. Voneche (Eds.), The essential Piaget (pp. 298-

341). Northvale, NJ: Jason Aronson. (Original work published 1941).

Powell, S. R. (2012). Equations and the equal sign in elementary mathematics textbooks. The

Elementary School Journal, 112(4), 627. doi: 10.1086/665009

Renwick, E. (1932). Children's misconceptions concerning the symbols for mathematical

equality. British Journal of Educational Psychology, 2, 173-183. doi: 10.1111/j.2044-

8279.1932.tb02743.x

Rittle-Johnson, B. (2006). Promoting transfer: The effects of direct instruction and self-

explanation. Child Development, 77, 1-15. doi: 10.1111/j.1467-8624.2006.00852.x

Page 23: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 23

Rogers, T. T., Rakison, D. H., & McClelland, J. L. (2004). U-shaped curves in development: A

PDP approach. Journal of Cognition and Development, 5, 137-145.

doi:10.1207/s15327647jcd0501_14

Rumelhart, D. E. (1980). Schemata: The building block of cognition. In R. Spiro, B. Bruce & W.

F. Brewer (Eds.), Theoretical issues in reading comprehension (pp. 33-58). Hillsdale, NJ:

Erlbaum.

Saenz-Ludlow, A., & Walgamuth, C. (1998). Third graders' interpretations of equality and the

equal symbol. Educational Studies in Mathematics, 35(2), 153-187. doi:

10.1023/A:1003086304201

Saffran, J. R. (2003). Statistical language learning: Mechanisms and constraints. Current

Directions in Psychological Science, 12, 110-114. doi: 10.1111/1467-8721.01243

Seo, K.-H., & Ginsburg, H. P. (2003). "You've got to carefully read the math sentence...":

Classroom context and children's interpretations of the equals sign. In A. J. Baroody & A.

Dowker (Eds.), The development of arithmetic concepts and skills (pp. 161-187).

Mahwah, NJ: Lawrence Erlbaum Associates.

Sfard, A. (1991). On the dual nature of mathematical conceptions: Reflections on processes and

objects as different sides of the same coin. Educational Studies in Mathematics, 22(1), 1-

36. doi: 10.1007/BF00302715

Sherman, J., & Bisanz, J. (2009). Equivalence in symbolic and non-symbolic contexts: Benefits

of solving problems with manipulatives. Journal of Educational Psychology, 101, 88-

100. doi: 10.1037/a0013156

Page 24: RUNNING HEAD: UNDERSTANDING OF MATH EQUIVALENCE · 2012; Seo & Ginsburg, 2003), adults are usually shocked to discover that only ~20% of children (ages 7-11) across studies in the

Knowledge of Traditional Arithmetic 24

Siegler, R. S. (2002). Microgenetic studies of self-explanation. In N. Grannott & J. Parziale

(Eds.), Microdevelopment: Transition processes in development and learning. New York:

Cambridge University Press. doi: 10.1017/CBO9780511489709.002

Siegler, R. S. (2004). U-shaped interest in U-shaped development–and what it means. Journal of

Cognition and Development, 5, 1–10. doi: 10.1207/s15327647jcd0501_1

Singer, M. A., & Goldin-Meadow, S. (2005). Children learn when their teacher's gestures and

speech differ. Psychological Science, 16(2), 85-89. doi: 10.1111/j.0956-

7976.2005.00786.x

Thelen, E., & Smith, L. B. (1994). A dynamic systems approach to the development of cognition

and action. Cambridge, MA: MIT Press.

Rittle-Johnson, B. (2006). Promoting transfer: Effects of self-explanation and direct instruction.

Child Development, 77, 1-15. doi: 10.1111/j.1467-8624.2006.00852.x

Rittle-Johnson, B., & Alibali, M. W. (1999). Conceptual and procedural knowledge of

mathematics: Does one lead to the other? Journal of Educational Psychology, 91, 175-

189. doi: 10.1037/0022-0663.91.1.175

Zevin, J. D., & Seidenberg, M. S. (2002). Age of acquisition effects in reading and other tasks.

Journal of Memory and Language, 47, 1-29. doi: 10.1006/jmla.2001.2834