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Language is an essential aspect of teaching and learning mathematics. It is necessary for communication, the transmission of concepts and ideas, and the formation of meaning of mathematical concepts. In mathematics, besides symbols, which are usually common among different languages, words and expressions are used, which may invoke different concept images to students in various languages. Some words are used in mathematics and in everyday language with different meanings, while others are used only in mathematics or in mathematics and other disciplines in similar but non-identical ways. In Mathematical Analysis, the used vocabulary is gradually enhanced, and the concepts are defined in a more formal way. In the current study, the language used regarding mathematics of change is examined, focusing on “rate of change”, and its relation to misconceptions among students.
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Article
The Language of “Rate of Change” in Mathematics
Evgenios Avgerinos * and Dimitra Remoundou


Citation: Avgerinos, E.; Remoundou,
D. The Language of “Rate of Change”
in Mathematics. Eur. J. Investig. Health
Psychol. Educ. 2021,11, 1599–1609.
https://doi.org/10.3390/
ejihpe11040113
Academic Editors:
Michael Voskoglou and
Joanna Mamona-Downs
Received: 30 August 2021
Accepted: 22 November 2021
Published: 6 December 2021
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Mathematics, Mathematical Education and Multimedia Laboratory, Department of Education,
University of the Aegean, 85100 Rhodes, Greece; remoundou@aegean.gr
*Correspondence: eavger@aegean.gr
Abstract:
Language is an essential aspect of teaching and learning mathematics. It is necessary for
communication, the transmission of concepts and ideas, and the formation of meaning of mathe-
matical concepts. In mathematics, besides symbols, which are usually common among different
languages, words and expressions are used, which may invoke different concept images to students
in various languages. Some words are used in mathematics and in everyday language with different
meanings, while others are used only in mathematics or in mathematics and other disciplines in
similar but non-identical ways. In Mathematical Analysis, the used vocabulary is gradually enhanced,
and the concepts are defined in a more formal way. In the current study, the language used regarding
mathematics of change is examined, focusing on “rate of change”, and its relation to misconceptions
among students.
Keywords: calculus; rate of change; language of mathematics; mathematics education
1. Introduction
Learning the language of mathematics is part of learning mathematics [
1
,
2
]. The
language of mathematics may be considered a precise, global language with no ambiguities.
Mathematical terms are defined rigorously, and the symbols are mostly common among
different languages.
Nevertheless, the way language is used in mathematics differs from the everyday
language and may cause challenges to learners [
2
]. Ambiguities regarding technical
vocabulary as well as other linguistic challenges, including grammar, may confuse students
and impact their understanding of mathematics.
In a social activity such as education, language is not always strictly used. Some-
times, words are omitted, phrases are shortened, and gestures and pronouns are used
instead of the mathematical terms. Teachers try to help students understand new math-
ematical concepts and move from informal, everyday language to formal language of
mathematics [1,2].
Use of known words in a stricter way in mathematics or ambiguities should not be
always considered a problem. In the social discourse of a classroom, formal and informal
uses of language are combined, and ambiguity provides opportunities for teachers and
students to extend their thinking and understanding of the language of mathematics [3].
Rate of change is an important concept of mathematics, used in everyday life and
applied in a variety of disciplines. It is studied in school curriculum and in more advanced
university courses. The concepts related to rate of change are expressed with different
terms and expressions, some of which are not clearly defined in school textbooks, while
others are partially defined and enhanced later.
Research on students’ understanding of rate of change has revealed difficulties in the
conceptualization of rate and its interpretation in physical phenomena [
4
7
]. Some studies
provide indications that some difficulties are related to the used language [5,8].
The main objective of the current study is to examine the language used in mathemat-
ics, particularly in tasks involving the concept of “rate of change”, and to locate possible
Eur. J. Investig. Health Psychol. Educ. 2021,11, 1599–1609. https://doi.org/10.3390/ejihpe11040113 https://www.mdpi.com/journal/ejihpe
Eur. J. Investig. Health Psychol. Educ. 2021,11 1600
misconceptions related to the use of language. As language is important in teaching and
infers the knowledge and the meaning of concepts that students construct, the vocabulary
used for “rate of change” and related concepts is examined. Change and “rate of change”
are studied as fundamental topics of Mathematical Analysis and the linguistic challenge
associated with them is addressed. Specifically, misconceptions of rate, slope, tangent,
derivative, and velocity are examined regarding the language used to express them in
school mathematics. The vocabulary used regarding rate of change is very rich with com-
plicated expressions, and some terms are not clearly defined in school textbooks. A new
term as an alternative to “rate of change” is proposed for use in mathematics, sciences, and
economics, which should be clearly defined and used throughout the disciplines.
2. The Role of Language in Mathematics Education
Mathematics is considered as a global language, which students must master to
be able to understand the concepts and communicate their ideas fluently. Mathematics
language consists of words, numbers, symbols, and diagrams and is the key to accessing
mathematical concepts [
1
]. In mathematics education, it involves the ability to use words
to explain concepts, justify procedures, and communicate mathematically [1].
The term concept image as expressed by Tall and Vinner [
9
] is used to describe “the
total cognitive structure that is associated with the concept, which includes all the mental
pictures, associated properties and processes”. Concept image may be a visual representa-
tion of a concept or a collection of impressions or experiences [
10
]. Students construct a
concept image of a mathematical concept according to their personal experiences, which
may diverge from the mathematical concept as mathematicians or teachers understand
it [
11
]. The term concept definition is used as a form of words used by the learner to define
the concept [9].
Students have spontaneous conceptions of mathematical concepts before the formal
teaching [
12
]. Part of their conceptions is the meaning of mathematical terms according
to their experiences and the use of everyday language [
12
]. Informal language and terms
of everyday language known to students are often used by educators to explain new
mathematical concepts.
The meaning of terms and expressions that students already know may differ from
the formal mathematical language and result in misconceptions. Moreover, the sponta-
neous conceptions remain even at an advanced level of learning [
12
] and are difficult to
change, especially when the mathematical terms are used in everyday language and their
mathematical definition is not clearly stated [10].
Sometimes, students do not have the same concept image for a mathematical concept
as the mathematicians, even if they use the same language to describe it [
13
]. The definition
of a mathematical concept is not always understood by students the way teachers believe,
and the concept definition students form may differ from the formal definition [
9
]. There
are indications that students use their concept image instead of the concept definition to
solve tasks [
10
]. Moreover, students tend to use informal language to express themselves
and may use mathematical terms in contexts where they have a colloquial meaning [14].
For students to form a concept image that is similar to the image mathematicians and
teachers have, students and teachers should share a common code of communication. To
help students learn and use the language of mathematics, educators should be aware of
the difficulties related to terminology [
1
]. The formation of a productive concept image is
not achieved by just stating the concept definition—it should be related to everyday life
with examples and non-examples [10].
Lexical ambiguity is the result of assigning different meanings in a word or phrase and
may appear when a word of everyday language is used as a technical term in a discipline [
3
].
Rubenstein and Thompson [
15
] have reported 11 categories of difficulties related to the
learning of mathematical language: (a) words common in mathematics and everyday
language with different meanings in the two contexts, (b) words common in mathematics
and everyday language with comparable meanings, but the mathematical meaning is more
Eur. J. Investig. Health Psychol. Educ. 2021,11 1601
precise, (c) terms used only in mathematics, (d) words used in mathematics with more than
one meaning, (e) terms used in mathematics and other disciplines with different technical
meanings, (f) mathematical word homonyms with everyday language words, (g) words
that are related, but students confuse their distinct meanings, (h) English words that are
translated in different ways in another language, and vice versa, (i) English spelling and
usage irregularities, (j) mathematical concepts that are verbalized in more than one way,
and (k) use of an informal term as if it was a mathematical term.
Linguistic challenges and lexical ambiguities are apparent in many fields of mathemat-
ics. The completely or slightly different meaning of words in mathematics and everyday
language or other disciplines has been subject of research and reflection in mathematics
education [
16
]. There is some recent research on lexical ambiguity regarding mathematical
terms in statistics [17,18] and algebra [19,20].
Regarding Mathematical Analysis, there are references in research to students’ mis-
conceptions related to language [
10
,
12
]. There are indications that more emphasis in
Calculus teaching is placed on procedures instead of the concepts [
21
]. Students can solve
problems of Calculus algorithmically by memorizing standard procedures, but they have
not acquired the meaning of the concepts [
11
]. Some of the misconceptions in concepts
of Calculus seem to be related to the language used, e.g., regarding the terms limit or
tangent [
10
,
12
]. Moreover, in Calculus, long phrases are often used to correctly express a
concept, and a shortening of a phrase may result in completely different meaning.
Language skills are essential in word problems solving, firstly to understand the
problem and then to express the solution [
22
]. There are indications that students’ language
proficiency is related to their proficiency in solving mathematics word problems [
23
].
Calculus is widely used to model and solve problems of sciences. Language is reported by
students as one of their main difficulties in solving application problems [24].
The role of school textbooks is vital in education. Teachers use them to decide what
to teach and they are students’ main study tool. The language used in textbooks affects
students’ understanding and may result in misconceptions [
25
]. Research on the language
used in mathematics and the possible misconceptions it may cause would help improve
school textbooks and teaching.
Ambiguous meanings are not necessary obstacles in education and particularly math-
ematics. If teachers are aware of possible meanings that are recalled by new terminology in
mathematics, they could take advantage of the language used by students and connect it to
mathematical concepts [26].
3. Method
In the present study, the language used in mathematics regarding concepts of Mathe-
matical Analysis as “change” and “rate of change” is addressed. The study was triggered
by the difficulties observed among students when describing “rate of change” and the
belief of mathematics educators that students do not understand the language used in “rate
of change” tasks [
27
]. The study focuses on the language used in mathematics, in tasks
involving “rate of change” and other concepts related to it. Aspects of “rate of change” are
discussed and presented in a concept map to describe the main concepts of the study and
emphasize the variety of concepts and terms. In addition to “rate of change”, concepts
related to it such as ratio, slope, tangent, derivative, and applications of “rate of change” in
contexts are addressed regarding linguistic challenges.
Literature on research on mathematics education has been reviewed regarding the
language used in “rate of change” tasks, and possible misconceptions it may cause to
students. A non-systematic literature review method was used. The publications used in
the current study were selected among an extensive literature collection on mathematics
education, the role of language, and concepts related to “rate of change”.
The findings of the selected pieces of research have been analyzed, compared, and
synthesized. Although the main focus of many of the reviewed studies was not the use of
language, the interpretation from this perspective gives prominence to the role of language
Eur. J. Investig. Health Psychol. Educ. 2021,11 1602
in mathematics education and related difficulties. Moreover, references to “rate of change”
in mathematics textbooks and education material were considered.
Searching known scientific databases led to some results, but they were less than satis-
factory. The difficulties of a systematic literature review regarding the research questions
were that “rate of change” as a key search term results in many publications not related
to mathematics education, while most of the publications found by the term “language”,
even when combined with “mathematics education”, refer to second language or English
as a foreign language.
Moreover, although there are only a few publications that address “rate of change”
and language in mathematics education, the use of language has been revealed as a side
result in a few studies. Consequently, many publications that are related to the research
questions of the current study do not appear in search results.
4. Results
4.1. Rate of Change Aspects
Mathematical Analysis expresses the mathematics of change. Mathematical Analysis,
as a name of an area of mathematics, is not clear as Geometry or Algebra, and may be used
in different contexts with different meanings.
A part of the vocabulary used in Mathematical Analysis is not new to students. There
are words already known and used in everyday language. For example, “limit” and
the expression “tends towards” have many different meanings for students [
12
]. These
ambiguities result in a concept image that may conflict with the formal definition of the
concept [12].
Continuity suffers from lexical ambiguity, as well. Expressions from everyday life
such as “it rained continuously all day” or “the railway line is continuously welded” are
used by teachers as an introduction to continuity [
9
]. However, such expressions may
result in the idea that the graph of a continuous function has “no gaps” [9].
Rate of change as a fundamental concept of Mathematical Analysis is rich in meanings
and complex for most students. To describe a dynamically changing phenomenon, besides
the study of the change of one quantity, the way this change happens is also required.
Rate of change is taught in different levels of education, from school to university
and in various disciplines. Besides mathematics, it is used in other sciences and has
applications in physics, economics, biology, mechanics, and electronics. Some well-known
and frequently used rates of change are velocity, acceleration, and power; rate of change of
kinetic energy, of dynamic energy, and of momentum; as well as economical concepts such
as marginal cost and profit.
The language used to describe dynamically changing phenomena indicates the un-
derstanding and the image one has for the concepts. Students may form different images
of rate of change, according to their age, grade, and previous experiences. Some mis-
conceptions and errors may result from the language used in school textbooks and by
educators [6].
Figure 1is a concept map of rate of change and presents some of the concepts related
to rate. For some of the concepts, more than one word is needed to precisely express their
meaning and if they are omitted, the concepts are not clear.
The English word “rate” has the meaning of value or ratio. In Greek, the term is
used in music, art, architecture, mathematics, physical sciences, economics, biology, and
everyday life. It usually has the meaning of a periodical motion.
Ratio, quotient, accumulation, and proportionalities are basic concepts for understand-
ing rate of change [
28
]. Thompson [
29
] refers to the terms ratio and rate, noticing that the
use of two different terms implies that there are two different concepts, but in practice, they
are used interchangeably. According to the researcher, the two terms are used in education
and research without definition and without clear distinction [29].
Eur. J. Investig. Health Psychol. Educ. 2021,11 1603
Eur. J. Investig. Health Psychol. Educ. 2021, 11, x FOR PEER REVIEW 5
Figure 1. A concept map of rate of change.
The English word “rate has the meaning of value or ratio. In Greek, the term is used
in music, art, architecture, mathematics, physical sciences, economics, biology, and eve-
ryday life. It usually has the meaning of a periodical motion.
Ratio, quotient, accumulation, and proportionalities are basic concepts for under-
standing rate of change [28]. Thompson [29] refers to the terms ratio and rate, noticing
that the use of two different terms implies that there are two different concepts, but in
practice, they are used interchangeably. According to the researcher, the two terms are
used in education and research without definition and without clear distinction [29].
In mathematics, rate is used in Statistics, Mathematical Analysis, and Algebra. Stu-
dents are asked to express and explain rates in mathematics areas with precise language
and distinguish it from the terms used in everyday language.
Rate of change can be average or instantaneous. Average rate of change is related to
the ratio of differences or the slope, while instantaneous rate of change is the derivative.
It may be constant, in which case, the instantaneous and the average rate of change are
the same or varying. The value of rate of change may be positive, negative, or zero, and
moreover, it may be increasing or decreasing. Moreover, the rate of change of a function
has a rate of change itself. All these aspects, with the used words and adverbs, form a
complicated image of rate of change.
One of the linguistic challenges of mathematics are the dense noun phrases that par-
ticipate in relational processes [2]. Speaking of rate of change includes such phrases that
are difficult to interpret. When students describe dynamically changing phenomena, they
have to combine nouns, such as “derivative”, “rate of change”,slope”, with adverbs,
such asat a point, “on an interval”; verbs, such as “increase” and “decrease”; or adjec-
tives, such as “positive/negative” and “general/specific” [30].
The rate of change is usually related to specific contexts, where the double or triple
use of the proposition “of” presents another challenging factor. A not unusual expression
of a rate of change problem may be The rate of change of volume of water in the tank is
increasing at a decreasing rate, which requires familiarity of the student with the lan-
guage to be able to interpret. In some tasks, shortened expressions such as “rate of in-
crease/decrease” are used.
For the description of the behavior of a function, phrases such as “increasing at a
decreasing (or an increasing) rate or “decreasing at an increasing (or a decreasing) rate”
are used, which are quite confusing [31]. The contrasting adjectives are not easy to inter-
pret. The difficulties many students face with such expressions is apparent in studies, in
which students fail to distinguish the behavior of the function and the behavior of its de-
rivative [32]. This is mostly observed in studies with tasks of rate of change in a specific
context, in which students express the behavior of the function in that context, but have
difficulties using more formal mathematical language and confuse the behavior of the
function with that of its rate of change [8].
Figure 1. A concept map of rate of change.
In mathematics, rate is used in Statistics, Mathematical Analysis, and Algebra. Stu-
dents are asked to express and explain rates in mathematics areas with precise language
and distinguish it from the terms used in everyday language.
Rate of change can be average or instantaneous. Average rate of change is related to
the ratio of differences or the slope, while instantaneous rate of change is the derivative.
It may be constant, in which case, the instantaneous and the average rate of change are
the same or varying. The value of rate of change may be positive, negative, or zero, and
moreover, it may be increasing or decreasing. Moreover, the rate of change of a function
has a rate of change itself. All these aspects, with the used words and adverbs, form a
complicated image of rate of change.
One of the linguistic challenges of mathematics are the dense noun phrases that
participate in relational processes [
2
]. Speaking of rate of change includes such phrases that
are difficult to interpret. When students describe dynamically changing phenomena, they
have to combine nouns, such as “derivative”, “rate of change”, “slope”, with adverbs, such
as “at a point”, “on an interval”; verbs, such as “increase” and “decrease”; or adjectives,
such as “positive/negative” and “general/specific” [30].
The rate of change is usually related to specific contexts, where the double or triple
use of the proposition “of” presents another challenging factor. A not unusual expression
of a rate of change problem may be “The rate of change of volume of water in the tank
is increasing at a decreasing rate”, which requires familiarity of the student with the
language to be able to interpret. In some tasks, shortened expressions such as “rate of
increase/decrease” are used.
For the description of the behavior of a function, phrases such as “increasing at
a decreasing (or an increasing) rate” or “decreasing at an increasing (or a decreasing)
rate” are used, which are quite confusing [
31
]. The contrasting adjectives are not easy to
interpret. The difficulties many students face with such expressions is apparent in studies,
in which students fail to distinguish the behavior of the function and the behavior of its
derivative [
32
]. This is mostly observed in studies with tasks of rate of change in a specific
context, in which students express the behavior of the function in that context, but have
difficulties using more formal mathematical language and confuse the behavior of the
function with that of its rate of change [8].
Some researchers have proposed to split these long phrases in two, one describing
the behavior of the function and one for the derivative, such as “The function is increasing
(decreasing) and its rate of change is increasing (decreasing)” [32].
Zandieh and Knapp [
33
] examined the role of metonymy in student reasoning about
derivative, pointing out that students may believe that a shortened phrase is accurate and
true or that both the extended and shortened phrase are true. Metonymy is often used in
Calculus, and it is accepted in education, but the excessive use of shortened expressions
may hide information that is not trivial and may be related to a lack of understanding [
33
].
Eur. J. Investig. Health Psychol. Educ. 2021,11 1604
Some rates of change, such as velocity, acceleration, power, and electric current in
physics, express another physical magnitude. In these cases, a new term is used instead
of rate of change. Even if it seems easier for students to understand these concepts, the
different terms that are used may cause misunderstandings and it is more difficult to relate
the concepts to rate of change and its properties. It is simpler to speak about acceleration
instead of rate of change of velocity, but it is harder to conceptualize the connection between
the two magnitudes. Students seem to conceptualize the concepts as new entities and not
as the measure of two covarying quantities [34].
A common misconception described in literature regarding rate of change is to express
the magnitude but not the sign of rate [
8
]. Negative rates of change that increase are
difficult to express, because students confuse the absolute value which decreases with the
signed value which increases. This is more intense when describing phenomena for which
the everyday language refers to the magnitude of the quantity [8,32].
The term “constant” for describing rate of change and function may cause misconcep-
tions. A rate of change that is “increasing constantly” may be conceptualized as constantly
increasing (increasing all the time), while in mathematical terms, this means that it is
increasing at a constant rate [8].
Another mathematical term that may cause misconceptions due to lexical ambiguity
is “average” [
13
]. Students’ experiences with the term “average” in everyday language
conflict with its use in Statistics and Calculus [
13
]. Average may refer to arithmetic mean,
median, or mode in statistics or may express something normal or usual in everyday
language [
13
]. In Bezuidenhout’s [
11
] research, some university students added up a
number of g(x) or g’(x) values and divided by the number of instances to find the average
rate of change. Average in Calculus is confused with the arithmetic mean in statistics.
Average rate of change, average value of a function, and arithmetic mean are confused
and cause misconceptions for many students [
11
], along with average rate of change and
instantaneous rate of change [
5
]. Students’ concept images of average prevent students
from thinking about average rate of change as a quantity changing at a constant rate with
respect to another quantity [13].
4.2. Concepts Related to “Rate of Change”
4.2.1. Slope
Average rate of change of a function between two points is the slope of the secant line
in these points, while instantaneous rate of change in a point is the slope of the tangent line
at this point. In linear functions, rate of change equals the slope of the line. Understanding
of slope of linear functions is crucial for the conceptualization of derivative and rate of
change [35].
The terms and symbolism used for slope in school textbooks are ambiguous and
may cause misconceptions [
36
,
37
]. The term “slope” is associated with the words “steep”,
“elevation”, “descent”, and “inclined” from everyday language [
38
]. Students hold an
image of slope, as a roof, a mountain, or another inclined surface [
39
]. Besides mathematics,
slope is used in other scientific disciplines, such as art, architecture, mechanics, and physical
sciences [
38
]. Students have an intuitive understanding of slope from their experiences,
which needs to be transformed to the formal definition in mathematics.
In mathematics, slope can be conceptualized geometrically, algebraically, trigonomet-
rically, and in Calculus [
40
]. The phrase “rise over run” is used as a mnemonic rule to
remember how to compute slope and students who use it correctly seem to understand
slope as a ratio or rate [39].
Slope, rate of change, and steepness are sometimes used as having the same meaning
in textbooks [
6
]. Coe [
41
], in a study on mathematics teachers, noted that even experienced
teachers have difficulties expressing the connection between division, rate, and slope.
Eur. J. Investig. Health Psychol. Educ. 2021,11 1605
4.2.2. Tangent
Students encounter the notion of tangent in different contexts in mathematics, as a
tangent to circle in Geometry, tangent line of conic sections in Analytic Geometry, and
tangent line to a graph in Calculus [
42
]. While the used term remains the same in the
different contexts, the definition changes.
The word “tangent” stems from the Latin adjective “tangents”, which means touch-
ing [
43
]. Students learn first about tangent lines in the context of geometry, as a tangent
to a circle. Teachers and some textbooks, attempting to clarify the concept of tangent line,
use everyday language and experience of the students and define tangent as the line that
touches the circle at exactly one point [25].
In Calculus, the concept of tangent is extended and includes cases in which the
tangent line may cross the curve at another point [
43
]. Moreover, the term tangent is used
in trigonometry, as tangent of an angle. The same term is used because the tangent of the
angle in a unit circle equals the segment of the tangent line to the circle [
43
]. Students may
confuse the idea of tangent line with the function y = tan(x), and tangent of an angle [44].
Students tend to use the “touching” cognitive model of a tangent in Calculus [
25
].
A common misconception of students is that a tangent line to a more general curve may
only meet the curve at one point and may not cross the curve at that point [10,25,42].
4.2.3. Derivative
Tangent, slope, and derivative are confusing for students, and it has been reported that
some students talk about derivative as the tangent line instead of its slope [
30
,
33
]. There
are indications that students have a better understanding of the derivative if their concept
image of tangent includes the limiting position of secant lines, instead of the touching
cognitive model [
45
]. In one study, mechanical engineering students were found to think
of derivative in terms of rate of change and mathematics students in terms of tangents [
46
].
Shortening of long, complicated phrases may result in misconceptions. In Amit and
Vinner’s [
21
] study, the researchers noticed that the definition of the derivative at a point
as “The derivative of a function at a certain point is the slope of the tangent to the graph
of the function at this point” may result in “The derivative is the tangent to the function
at a certain point”. Omitting slope in the definition results in different meaning and it is
not clear if students understand the way tangent is used or understand derivative as the
equation of the tangent.
The word “derivative” refers both to derivative at a point and derivative of a func-
tion [
30
]. Category (g) of Rubenstein and Thompson’s [
15
] work refers to words that are
related, but students confuse their distinct meanings. Moreover, the challenge is more
intense when speaking about phrases that are similar but refer to different concepts, such
as “derivative of a function at a point” and “derivative function” or “average rate of change
of a function” and “average rate of change function”.
4.2.4. Speed-Velocity
Speed is the rate of change of distance travelled over time. Students sometimes use
the term speed to describe rate of change, while an analogy of rate of change to speed in a
problem may help students interpret the problem [
33
]. As with constant and average rate
of change, misconceptions about constant and average speed have been reported [5].
A confusion has been observed in literature when the same word is used for magnitude
and the signed value of a quantity [
32
]. In such cases, attention should be paid to the
language used to help students understand and communicate about phenomena with
negative rates [32].
In English, there are two different words: speed, which describes the magnitude, and
velocity, which expresses the signed value. Contrary, in the Greek language, the same word
is used for speed and velocity in everyday language, and in textbooks, it is not always clear
which concept is being referred to.
Eur. J. Investig. Health Psychol. Educ. 2021,11 1606
Other concepts that are not clearly distinguished for many students are the quantity
and the change in a quantity and change and rate of change [
47
]. In these cases, the
same words are used in phrases that express different concepts. Moreover, in the Greek
language, the word “analogia” is used in mathematics and other fields, such as biology
and linguistics, and in everyday language. In mathematics, it expresses proportionality,
while it also means analogy, as described by Polya [48].
5. Discussion
Rate of change is a general concept that involves many aspects and can be concep-
tualized in different ways and in various contexts. In Greece, as in other countries [
28
],
rate of change and covariation are not emphasized in school textbooks and curricula of
primary and secondary education [
37
], and they seem to cause significant difficulties
among students.
The literature review on the effects of language on the construction of concepts of
Mathematical Analysis and especially rate of change implies that there are some difficulties
related to language. The findings of the current study are in accordance with findings
reported for other concepts of mathematics [
18
20
]. Terminology regarding rate of change
has long sentences, ambiguities, terms used in everyday language, and terms used without
definition or defined in different ways.
As pointed out in research on mathematics education [
2
], it appears that the way
the language is used in mathematics regarding the concept of rate of change differs more
or less significantly from the colloquial language. Most of the terms discussed and used
when speaking about rate are words common in mathematics and everyday language with
comparable meanings, e.g., rate, slope, constant, and average. This category of ambiguity
may cause significant misconceptions among students as they already hold a concept image
for them [2].
Lack of familiarity with the vocabulary used in Mathematical Analysis results in
errors and poor understanding of the concepts. Words used in colloquial language with
different meanings need to be clarified. Nevertheless, students’ experiences and words
from everyday life may be carefully used to trigger the introduction of new concepts.
The study reinforces the importance of the role of educators in clarification and un-
derstanding of mathematical concepts [
17
]. If teachers are aware of the potential problems
caused by the used language, they can find ways to overcome the difficulties and clarify
statements that lead to misconceptions [
31
]. Emphasis should be placed on the correct use
of language in the definition of terms, properties of concepts, and problem solving. More-
over, students should have opportunities to express orally and in writing their conceptions
and participate in classroom discourse to enhance their mathematical linguistic abilities,
and, as a result, their understanding of concepts.
Modeling dynamically changing events requires familiarity with the language of
change and rate of change. Activities related to real-world problems, modelling, and analy-
sis of phenomena could help students enhance their linguistic abilities and mathematical
terminology, and, as stated in other studies [
8
], their reasoning about changing phenomena.
Students should actively participate in class discourse to familiarize themselves with the
language of mathematics. Interpretation of phenomena in physics or other sciences may
help students better understand phenomena and the mathematics behind them. Con-
cept maps, examples, and non-examples can be used as tools to reveal similarities and
differences between terms, expressions, and notations in mathematics.
Following the current study, we adopt the view of researchers that covariation should
be included in early education curricula [
4
,
28
]. Concepts related to rate of change, such as
slope, variation of quantities, constant, and average rate of change, could be taught in early
secondary education as part of mathematics of change, extended later to derivative and
instantaneous rate of change. A robust understanding of a concept image of rate could be
generalized to derivative and more advanced topics of Calculus.
Eur. J. Investig. Health Psychol. Educ. 2021,11 1607
Instead of “rate of change”, another term could be used in mathematics, sciences, and
economics. Using one word would simplify some complicated expressions. Moreover, the
phenomenon of omitting words to make the sentence smaller would be avoided, as well
as the double use of the preposition “of”. One proposal for a one-word term that would
express “rate of change” is the term “variationality”. If a specific term is clearly defined
and used throughout the disciplines, students could form a general, robust image of “rate
of change”, integrating the various aspects and emphasizing its covariational nature. As a
result, learners could conceptualize quantities of sciences as different aspects of the same
concept and better understand their properties.
The findings of this study must be seen considering some limitations. The literature
review was not systematic, and the sample of the publications was selected by the authors
based on broader research on the concept of “rate of change” in mathematics education.
As a result, there may be studies related to the research questions and not taken into
account. The current study could be extended and combined with a more systematic
literature review.
6. Conclusions
The present synthesis of selected publications in relation to the references on math-
ematics textbooks has revealed some linguistic challenges regarding the use of “rate of
change” in mathematics education. Lexical ambiguities, long and complex phrases, etc.,
may impede the understanding of the concepts or cause misconceptions. Mathematics text-
books writers and educators may benefit from the mentioned complexities and find ways
to enhance students’ understanding through written mathematical texts and discourse
in classrooms.
Author Contributions:
Conceptualization, E.A. and D.R.; methodology, E.A. and D.R.; analysis,
writing—original draft preparation, E.A. and D.R.; writing—review and editing, E.A. and D.R.
All authors have read and agreed to the published version of the manuscript.
Funding:
This research was funded by the State Scholarship Foundation (IKY), through the action
“Scholarships Programmes of 2nd cycle (PhD thesis) by the State Scholarships Foundation” of the
Operational Programme “Education and Life Long Learning” within the National Strategic Reference
Framework (2014–2020) with the co-financing of the European Social Fund with grant number
2017-050-0504-10070.
Acknowledgments:
The authors are deeply indebted to the anonymous referees for their careful
reading of the manuscript and for their insightful corrections, remarks, and constructive criticism.
Conflicts of Interest: The authors declare no conflict of interest.
References
1.
Riccomini, P.J.; Smith, G.W.; Hughes, E.; Fries, K.M. The Language of Mathematics: The Importance of Teaching and Learning
Mathematical Vocabulary. Read. Writ. Q. 2015,31, 235–252. [CrossRef]
2.
Schleppegrell, M.J. The Linguistic Challenges of Mathematics Teaching and Learning: A Research Review. Read. Writ. Q.
2007
,23,
139–159. [CrossRef]
3. Barwell, R. Ambiguity in the Mathematics Classroom. Lang. Educ. 2005,19, 117–125. [CrossRef]
4. Orton, A. Students’ understanding of differentiation. Educ. Stud. Math. 1983,14, 235–250. [CrossRef]
5. Orton, A. Understanding rate of change. Math. Sch. 1984,13, 23–26.
6.
Teuscher, D.; Reys, R.E. Connecting Research to Teaching: Slope, Rate of Change, and Steepness: Do Students Understand these
Concepts? Math. Teach. 2010,103, 519–524. [CrossRef]
7.
Ubuz, B. Interpreting a graph and constructing its derivative graph: Stability and change in students’ conceptions. Int. J. Math.
Educ. Sci. Technol. 2007,38, 609–637. [CrossRef]
8.
Ärlebäck, J.B.; Doerr, H.M.; O’Neil, A.H. A Modeling Perspective on Interpreting Rates of Change in Context. Math. Think. Learn.
2013,15, 314–336. [CrossRef]
9.
Tall, D.; Vinner, S. Concept image and concept definition in mathematics with particular reference to limits and continuity. Educ.
Stud. Math. 1981,12, 151–169. [CrossRef]
10.
Vinner, S. The Role of Definitions in the Teaching and Learning of Mathematics. Available online: https://link.springer.com/
chapter/10.1007/0-306-47203-1_5 (accessed on 30 August 2021).
Eur. J. Investig. Health Psychol. Educ. 2021,11 1608
11.
Bezuidenhout, J. First-year university students’ understanding of rate of change. Int. J. Math. Educ. Sci. Technol.
1998
,29, 389–399.
[CrossRef]
12.
Cornu, B. Advanced Mathematical Thinking. Available online: https://link.springer.com/book/10.1007/0-306-47203-1 (accessed
on 30 August 2021).
13.
Weber, E.; Dorko, A. Students’ concept images of average rate of change. In Proceedings of the 35th Annual Meeting of
the North American Chapter of the International Group for the Psychology of Mathematics Education, Chicago, IL, USA,
14–17 November 2013; pp. 386–393.
14. Tall, D. Inconsistencies in the learning of calculus and analysis. Focus Learn. Probl. Math. 1990,12, 49–63.
15.
Rubenstein, R.N.; Thompson, D.R. Understanding and Supporting Children’s Mathematical Vocabulary Development. Teach.
Child. Math. 2002,9, 107–112. [CrossRef]
16.
Gagatsis, A.; Patronis, T. Using geometrical models in a process of reflective thinking in learning and teaching mathematics. Educ.
Stud. Math. 1990,21, 29–54. [CrossRef]
17.
Dunn, P.K.; Carey, M.D.; Richardson, A.M.; Mcdonald, C. Learning the Language of Statistics: Challenges and Teaching
Approaches. Stat. Educ. Res. J. 2016,15, 8–27. [CrossRef]
18.
Kaplan, J.J.; Fisher, D.G.; Rogness, N.T. Lexical Ambiguity in Statistics: What do Students Know about the Words Association,
Average, Confidence, Random and Spread? J. Stat. Educ. 2009,17, 1–19. [CrossRef]
19.
Adu, E.O.; Olaoye, O. An Investigation into Some Lexical Ambiguities in Algebra: South African Experience. Mediterr. J. Soc. Sci.
2014,5, 1243. [CrossRef]
20.
Olaoye, O.; Adu, E.O.; Moyo, G. Lexical Ambiguity in Algebra, Method of Instruction as Determinant of Grade 9 Students’
Academic Performance in East London District. Mediterr. J. Soc. Sci. 2014,5, 897. [CrossRef]
21.
Amit, M.; Vinner, S. Some misconceptions in calculus anecdotes or the tip of an iceberg? In Proceedings of the 14th Conference of
the International Group for the Psychology of Mathematics Education, Mexico City, Mexico, 15–20 July 1990; Volume 1, pp. 3–10.
Available online: https://files.eric.ed.gov/fulltext/ED411137.pdf (accessed on 30 August 2021).
22. Adams, T.L. Reading mathematics: More than words can say. Read. Teach. 2003,56, 786–795.
23. Abedi, J.; Lord, C. The language factor in mathematics tests. Appl. Meas. Educ. 2001,14, 219–234. [CrossRef]
24.
Klymchuk, S.; Zverkova, T.; Gruenwald, N.; Sauerbier, G. University students’ difficulties in solving application problems in
calculus: Student perspectives. Math. Educ. Res. J. 2010,22, 81–91. [CrossRef]
25.
Kajander, A.; Lovric, M. Mathematics textbooks and their potential role in supporting misconceptions. Int. J. Math. Educ. Sci.
Technol. 2009,40, 173–181. [CrossRef]
26.
Moschkovich, J.N. “I Went by Twos, He Went by One”: Multiple Interpretations of Inscriptions as Resources for Mathematical
Discussions. J. Learn. Sci. 2008,17, 551–587. [CrossRef]
27.
Remoundou, D.; Avgerinos, E. Rate of change: Necessity, epistemological obstacles and proposals for teaching. In Proceedings of
the First Congress of Greek Mathematicians (FCGM) 2018, Athens, Greece, 25–30 June 2018; pp. 201–215, ISBN 978-960-7341-41-9.
28.
Thompson, P.W.; Carlson, M.P. Variation, covariation, and functions: Foundational ways of thinking mathematically. In
Compendium for Research in Mathematics Education; Cai, J., Ed.; National Council of Teachers of Mathematics: Reston, VA, USA,
2017; pp. 421–456.
29.
Thompson, P.W. The development of the concept of speed and its relationship to concepts of rate. In The Development of
Multiplicative Reasoning in the Learning of Mathematics; Harel, G., Confrey, J., Eds.; State University of New York Press: Albany, NY,
USA, 1994; pp. 179–234.
30.
Park, J. Is the derivative a function? If so, how do students talk about it? Int. J. Math. Educ. Sci. Technol.
2013
,44, 624–640.
[CrossRef]
31. Gough, J. Conceptual complexity and apparent contradictions in mathematics language. Aust. Math. Teach. 2007,63, 8.
32.
Doerr, H.M.; Bergman Ärlebäck, J.; O’Neil, A.H. Interpreting and communicating about phenomenon with negative rate of
change. In Proceedings of the 120th ASEE (American Society for Engineering Education) Annual Conference & Exposition,
Atlanta GA, USA, 23–26 June 2013. [CrossRef]
33.
Zandieh, M.J.; Knapp, J. Exploring the role of metonymy in mathematical understanding and reasoning: The concept of derivative
as an example. J. Math. Behav. 2006,25, 1–17. [CrossRef]
34.
Lobato, J.; Thanheiser, E. Re-thinking slope from quantitative and phenomenological perspectives. In Proceedings of the
21st Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education,
Cuernavaca, Mexico, 23–26 October 1999; Volume 1, pp. 291–297.
35.
Nagle, C.; Moore-Russo, D.; Viglietti, J.; Martin, K. Calculus Students’ and Instructors’ Conceptualizations of Slope: A Comparison
Across Academic Levels. Int. J. Sci. Math. Educ. 2013,11, 1491–1515. [CrossRef]
36.
Confrey, J.; Smith, E. Exponential Functions, Rates of Change, and the Multiplicative Unit. Learning Mathematics; Springer: Dordrecht,
The Netherlands, 1994; pp. 31–60.
37.
Avgerinos, E.; Remoundou, D. Epistemological obstacles for the concept of “slope of a line” in secondary education (in Greek).
In Proceedings of the 34th Panhellenic Conference of Mathematical Education, Athens, Greece, 7–9 December 2018; pp. 93–102.
38.
Ömer, D.; Kabael, T. Students’ Mathematization Process of the Concept of Slope within the Realistic Mathematics Education.
Hacet. Univ. J. Educ. 2016,32, 1–20. [CrossRef]
39. Stump, S.L. High School Precalculus Students’ Understanding of Slope as Measure. Sch. Sci. Math. 2001,101, 81–89. [CrossRef]
Eur. J. Investig. Health Psychol. Educ. 2021,11 1609
40.
Stump, S.L. Developing preservice teachers’ pedagogical content knowledge of slope. J. Math. Behav.
2001
,20, 207–227. [CrossRef]
41. Coe, E. Modeling Teachers’ Thinking about Rate of Change. PhD Thesis, Arizona State University, Phoenix, AZ, USA, 2007.
42.
Biza, I.; Christou, C.; Zachariades, T. Student perspectives on the relationship between a curve and its tangent in the transition
from Euclidean Geometry to Analysis. Res. Math. Educ. 2008,10, 53–70. [CrossRef]
43.
Ricardo, H.J.; Schwartzman, S. The Words of Mathematics: An Etymological Dictionary of Mathematical Terms Used in English.
Am. Math. Mon. 1995,102, 563. [CrossRef]
44.
Vincent, B.; LaRue, R.; Sealey, V.; Engelke, N. Calculus students’ early concept images of tangent lines. Int. J. Math. Educ. Sci.
Technol. 2015,46, 641–657. [CrossRef]
45.
Vincent, B.; Sealey, V. Students’ concept image of tangent line compared to their understanding of the definition of the derivative.
In Proceedings of the 19th Annual Conference on Research in Undergraduate Mathematics Education, Pittsburgh, PA, USA,
25–27 February 2016; pp. 1360–1366.
46. Bingölbali, E.; Monaghan, J. Concept image revisited. Educ. Stud. Math. 2008,68, 19–35. [CrossRef]
47.
Thompson, P.W. Images of Rate and Operational Understanding of the Fundamental Theorem of Calculus. In Learning Mathematics;
Cobb, P., Ed.; Springer: Dordrecht, The Netherlands, 1994; pp. 125–170, ISBN 978-94-017-2057-1.
48. Polya, G. How to Solve It: A New Aspect of Mathematical Method; Princeton University Press: Princeton, NJ, USA, 2004.
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