Experiences with Symbolism Running head: EXPERIENCES WITH SYBOLISM Middle School Students’ Experiences with Symbolism Jeonglim Chae University of Georgia 1 Experiences with Symbolism 2 Introduction to the study Background Whenever we think something and express or communicate about it, we need some tools. In doing algebra, symbols provide one such tool with which we can think of and communicate about our thoughts and ideas. Not only are symbols a tool for representation, they have also played a critical role in developing algebra. If we consider generality as what makes algebra most different from arithmetic, then the beginning of algebra is historically traced back to ancient Mesopotamia and Egypt. In spite of almost four thousand years of history of algebra, the history of symbols had not begun until the 16th century. It was Vieta who used symbols purposefully and systematically after some mathematical symbols (e.g. , , ) were introduced with letters used for unknowns (Kline, 1972). Before then, algebraic ideas were stated rhetorically, and special words, abbreviations, and number symbols were used as notations. Since Vieta, algebra has rapidly developed from a science of generalized numerical computations, to a science of universal computations and then into a science of abstract structures thanks to symbolism (Sfard, 1995). Even though symbolism made it possible to study abstract structures in algebra by expressing complicated mathematical ideas succinctly, symbolism is one of the major difficulties for young students in learning algebra. Hiebert et al. (1997) explained that the difficulties in dealing with symbols as a learning tool were attributed to the fact that “meaning is not inherent” in symbols (p. 55). They insisted that meaning is not attached to symbols automatically and without meaning symbols could not be used effectively. So students should construct meaning for and with symbols as they actively use them. The Experiences with Symbolism 3 National Council of Teachers of Mathematics’ (2000) Algebra Standard also encouraged using symbols as a tool to represent and analyze mathematical situations and structures in all grade levels. In particular, students in Grades 6 – 8 are recommended to have … extensive experience in interpreting relationships among quantities in a variety of problem contexts before they can work meaningfully with variables and symbolic expressions. An understanding of the meanings and uses of variables develops gradually as students create and use symbolic expressions and relate them to verbal, tabular, and graphical representations. Relationships among quantities can often be expressed symbolically in more than one way, providing opportunities for students to examine the equivalence of various algebraic expressions (p. 225-226). In this recommendation, NCTM put emphasis on using problem contexts to help students develop meaning for symbols and appreciate quantitative relationships. In line with the issues mentioned above, the present study is intended to provide insight into students’ experiences with symbolism. In particular, the educational purpose of this study is to inform mathematics educators of how students construct meaning for algebraic symbols and learn mathematical concepts with symbols so that mathematics educators can enhance students’ learning of mathematics with symbols. Research questions In the abstract development of algebra with systematic symbolism, Wheeler (1989) argued that abstract algebra sacrificed the implicit meanings for its applicability unlike rhetorical and syncopated algebra. For instance, Diophantus, as a syncopated Experiences with Symbolism 4 algebraist, created numeral expressions like 10 – x and 10 + x and multiplied them to get 100 – x2 as if they were numbers like 2 and 3 to solve his word problem. As he denoted the letter x as an unknown but fixed value in the context of the problem, he could keep the meaning of x for its applicability explicitly. However, he might have not obtained the notion of variables, which abstract algebra achieved (Sfard & Linchevski, 1994). As Kieran (1992) elaborated, symbolic language made algebra more powerful and applicable by eliminating “many of the distinctions that the vernacular preserves” and inducing the essences (p. 394). However, the powerful yet decontextualized language brought difficulties for young students who were beginning to learn algebra: Thus, the cognitive demands placed on algebra students included, on the one hand, treating symbolic representations, which have little or no semantic content, as mathematical objects and operating upon these objects with processes that usually do not yield numerical solutions, and, on the other hand, modifying their former interpretations of certain symbols and beginning to represent the relationships of word-problem situations with operations that are often the inverse of those that they used almost automatically for solving similar problems in arithmetic (Kieran, 1992, p. 394). In fact, some researchers (see Kieran, 1992) have studied students’ difficulties in manipulating symbols as mathematical objects and modifying their interpretations of symbols. Also some studies (e.g. Stacey & MacGregor, 1997) were conducted to investigate how meaning for symbols could be developed. Hiebert and Carpenter (1992) reviewed such literature and summarized that making meaning for symbols could develop in two ways: through connections between symbols and other representational forms or Experiences with Symbolism 5 through connections within the system of symbols. Then they analyzed that the former way mainly served a public function of symbols as “recording what is already known” for communication and the latter served a private function as “organizing and manipulating ideas” (p. 73-74). This analysis drew my attention and provoked my curiosity about how early algebra students begin to make sense of symbols, which we as adults with mathematical knowledge take for granted. My initial curiosity included sporadic questions like: how do young students interpret mathematical symbols?; in what ways do they use symbols?; do they feel the need for symbols?; what do they want to represent with symbols?; in what ways do their understanding of symbols affect learning mathematical concepts?; and so on. Inspired by these questions, the present study will investigate how middle school students develop algebraic reasoning with algebraic symbols while doing mathematical activities. The following questions will guide this study: 1. How do students make sense of algebraic notations in relation to other forms of representation throughout mathematical activities? 2. How do students’ mathematical concepts form and develop as they use the algebraic notations throughout mathematical activities? I presume that students’ prevalent experiences with algebraic symbolism occur in classroom learning situations where the learning experience includes the teacher’s lectures, reading mathematics books, doing hands-on activities, observing how the teacher and other students use symbols, and discussions with other students. So I will mainly focus on mathematical activities in the classroom setting in the present study. In addition, it is most likely that the learning experiences begin with introducing algebraic Experiences with Symbolism 6 symbols and students try to make sense of them throughout the following activities. So when students are introduced to algebraic symbols for the first time, they do not yet have their own meanings for the symbols. In order to differentiate symbols before and after students develop their meanings for them, I will use the term, ‘algebraic notations’, before their meaning development. Thus the first research question is about how algebraic notations become symbols to students as students do mathematical activities in the classroom setting. Specifically, I will investigate it through how they relate algebraic notations to other forms of representation such as narrative, tabular and graphical representations. Moreover, as students have experiences about symbolism, their new mathematical concepts will be created or previous ones may change or develop. With the second question, I will investigate the development of students’ mathematical concepts throughout mathematical activities. I will explain the research questions in detail in the next section. Theoretical perspectives This section includes theoretical perspectives with which the present study will be guided. The first part is allotted to my perspectives on learning mathematics in general, and the second part is to show briefly what and how theoretical perspectives on symbolism are to be applied for the present study. Perspectives on learning Perspectives on learning include statements of subjectivity that will inform and affect all the activities of the present study in general. In particular, this section mainly Experiences with Symbolism 7 includes my current personal beliefs formed through learning and teaching mathematics and studying mathematics education as a graduate student. Since the beliefs will provide lenses and constraints with which I design the present study and interpret all possible phenomena the study will bring, I believe that it is worthwhile to state here. My perspectives on learning are quite parallel to what radical constructivists assume as underlying principles: (1) knowledge is not passively received but built up by the cognizing subject, and (2) the function of cognition is adaptive and serves the organization of the experiential world, not the discovery of ontological reality (von Glasersfeld, 1995, p. 18). First of all, I believe that learners are cognizing agents so that they do not receive or absorb what others speak about or try to deliver. For example, I had learned mathematics via lectures and fortunately most of my mathematics teachers helped me understand mathematical concepts. When I discussed or worked on problems with my classmates who had shown similar mathematical abilities and performances, I could find differences in how we understood a certain topic and strategies we used. If we were receivers or absorbers of knowledge, we should barely find differences in knowledge or our understanding of it. I think the differences came from what we did in our own mind. Secondly, learners construct their own knowledge. Here construction means neither creative invention or discovery like what professional mathematicians do nor isolated construction without help from others. Rather construction means making sense of and organizing cognitively what learners have experienced. Therefore, thirdly learning occurs to learners through their experiences. What I mean by experiences is mostly the learners’ interaction with their environment, and examples of experiences related to learning include learning activities, reading books, communicating with others, Experiences with Symbolism 8 listening to teachers, reflecting and so on. Through the interactions, learners may experience that sometimes they can make sense of the interactions within their existing cognitive structure and therefore the structure becomes more supported, or sometimes they feel a necessity of reorganizing the cognitive structure to make sense of the interactions. I consider both as learning. Finally, I believe that knowledge is ultimately personal. In fact, mathematical knowledge definitely has social and cultural aspects not only because mathematics has been built historically and culturally throughout a long period of time but also because an individual learner’s mathematical experiences include his or her social interaction. In spite of the social aspects of mathematical knowledge, it is ultimately the learners who make choices of whether the developed knowledge will be included meaningfully into their knowledge structures and whether the knowledge will be actively used for their mathematical activities like solving problems. To connect my beliefs about learning with the present study, Kaput’s (1991) epistemology with three worlds seems helpful. He identified the material world, the subjective world, and the consensual world. I interpret the material world as a collection of objects that a learner will learn about, or construct his or her knowledge about. The subjective world seems the place where an individual learner constructs his or her knowledge and to which the resulting knowledge or cognitive structure belongs. In fact, Kaput (1991) contrasted the two worlds as the former for “what is experienced as physical” and the latter for “what is experienced as mental” (p. 59). And the consensual world includes consensual knowledge that a consensual community produces. For example, mathematical concepts - as those as we assume mathematically competent people accept - such as sum, fraction, and linear relationship belong to the consensual Experiences with Symbolism 9 world, but each student’s concepts of those are not necessarily the same as those in the consensual world and they belong to his or her own subjective world. However, the classification is not always clear or it would seem unnecessary providing that individuals could not leave their own subjective worlds and so their experiences also stay there. That is, individuals have experiences of the material world and the consensual world in their own subjective world. So then everything is in the subjective world. Nonetheless, I think the idea of three worlds would help me conduct this study in understanding students’ learning. Algebraic notations that students will learn in class have been already used among people who have made sense of them and participated in a consensual community, even before students see the notations. That is, algebraic notations (or symbols) are “experienced as physical” (Kaput, 1991, p. 59) by someone else, and so I would say that they are not in each student’s subjective world yet but they belong to the material world. Also we assume that some consensual meanings of algebraic notations have been developed in the consensual world (I think that is why we call them symbols in general without possessive case) so that people who have made sense of them can communicate with them. [Here I put aside the issues such as whether the consensual world, which all the members of the community reached an agreement on, exists or whether three world exist exclusively.] Then when algebraic notations are introduced to students, they begin to move into individual students’ subjective worlds as students try to make sense of them. During the process, students will have a contact with a consensual world through their teacher and resources and so the consensual world will affect the process. For example, teachers will bring something that they believe are consensual meanings of some algebraic notations in class and the so-called consensual Experiences with Symbolism 10 meaning will affect students’ sense-making process. However, in this study I do not intend to compare students’ subjective world about algebraic notations with any consensual world. As I acknowledge students’ contact with a consensual world as their learning experiences, I will try to model each individual student’s subjective world, and look at how the individual students bring algebraic notations into their subjective world and make them fit into their existing world or transform their existing world into a new one. With this second-order model (Steffe & Wiegel, 1996), I aim to explain individual students’ experience with algebraic notations while observing and interacting with the students as the researcher. Perspectives on symbolism In order to study students’ experience with symbolism, it is necessary to define the term ‘symbols’ as opposed to algebraic notations and decide which symbols will be the focus of the present study. Cobb’s (2000) broad definition of symbols seems to be a good start and his definitions is: …to denote any situation in which a concrete entity such as a mark on paper, an icon on a computer screen, or an arrangement of physical materials is interpreted as standing for or signifying something else (p. 17). His definition is very broad so that it can be applied not only for symbols in mathematics but also those in everyday life. As an example of symbol in everyday life, I could use two distinct erasers pretending they were cars in order to explain a traffic accident that I experienced. By moving the two erasers, I could explain how the accident happened. Here the erasers were symbols since they were concrete entities in the accident situation Experiences with Symbolism 11 and stood for cars. As an example of a mathematical symbol, the fractional numeral, ‘3/4’, could stand for a fair share of sharing 3 apples among 4 children, a ratio of 3 out of 4, or an operator as in 3/4 of something in various contexts. Even when removing a specific context, ‘3/4’ still could refer to the abstract concept of fraction. Both the erasers and 3/4 are legitimate symbols under the same definition, but they are very different. The erasers have quite clear meaning both to me and to the person listening to my traffic accident but lose the meaning as cars once leaving the accident context. Unlike the erasers, the fraction ‘3/4’ has varying meanings in contexts and becomes an abstract entity even without the context. Considering the research questions, the second example is a definite interest of this study. So in order to define symbols in mathematics for this study I modify Cobb’s (2000) definition as to denote a mathematical situation in which a concrete entity written on paper, a board, or computer screen is interpreted as standing for or signifying something mathematical. Since symbols should stand for or signify something, it has to be noted that a physical entity like 3/4 written on paper is not a symbol at all for a first grader who has just learned counting. However, the fraction 3/4 is a symbol for those who have meanings for it and it also has consensual meanings developed by the consensual community. To differentiate these two, I will call such entities ‘notations’ for those who do not have their own meaning as yet. With the definition above, the term, symbols, will be used in this study to encompass other terms such as symbolic representations and symbolic expressions. An equation, y = 65x, has a string of symbols such as letters x and y, a numeral 65, and the equality sign and each symbol stands for something mathematical. However, at the same Experiences with Symbolism 12 time, the whole equation may also signify a situation in which a distance (y) changes in relation to time (x) when driving at 65 mph. Then the equation, which may be considered as a symbolic representation or a symbolic expression for some other purposes, is a symbol to signify the changing situation. In fact, since the mathematical content of this study is the representation of changing situations with variables, it is frequent that equations should be considered as symbols. In addition to that, the differentiation between symbols and other similar terms is unnecessary in order to highlight the relationships that students make between something to signify and something signified in this study. Another noteworthy point in the definition of symbol is what symbols stand for or signify. What is something mathematical? Literatures on symbols provided a seemingly agreeable answer as symbols signifying process and symbols signifying concept. The frequent case is that a learner is introduced initially to symbols as a vehicle to signify process, gets familiar with the process, and conceives the symbols as an object carrying a concept. Also researchers have tried to explain the cognitive shift from symbol as process to symbol as concept. For example, Mason’s (1987) spiral model explained the shift of symbol uses as: from confidently manipulable objects/symbols, through their use to gain a ‘sense of’ some idea involving a full range of imagery but at an inarticulate level, through a symbolic record of that sense, to a confidently manipulable use of the new symbols, and so on in a continuing spiral (p. 74-75) Experiences with Symbolism 13 In particular, Mason not only explained the shift of symbol uses between symbol as process and symbol as concept but also identified the continuous acquisition of new symbols based on symbols that are used confidently. However, these studies seemed to divide up symbol uses artificially and highlight the linear or hierarchical development of symbol uses from those signifying a process to signifying a concept and from one symbol to another. To me, the demarcation between process and concept is not clear and they seem to grow together. In contrast with the previous models, I believe that the notion of procept by Gray and Tall (1991, cited in Tall et al., 2001, p5.) seemed to resolve the issues mentioned above. They still used the notions of process and concept, but they focused on a powerful way of using symbols to switch between process and concept from time to time rather than focusing on symbol uses as progressing from one to the other. Tall et al. (2001) elaborated the notion of procept as: It [procept] is now seen mainly as a cognitive construct, in which the symbol can act as a pivot, switching from a focus on process to compute or manipulate, to a concept that may be thought about as a manipulable entity. We believe that procepts are at the root of human ability to manipulate mathematical ideas in arithmetic, algebra and other theories involving manipulable symbols. They allow the biological brain to switch effortlessly from doing a process to thinking about a concept in a minimal way (p. 5). So procept enables a learner to conceive symbols not only as signifying a process (e.g., compute or manipulate) but also as a concept and to switch between them flexibly. Thus “being able to think about the symbolism as an entity allows it to be manipulated itself, to Experiences with Symbolism 14 think about mathematics in a compressed and manipulable way, moving easily between process and concept” (Tall et al., 2001, p. 8). Spectrum of outcomes procedural To DO routine mathematics accurately proceptual To perform mathematics flexibly & efficiently To THINK about mathematics symbolically Procept Process (es) Procedures Progress Process Procedures Procedure Sophistication of development Figure 1: A spectrum of performances in the carrying out of mathematical processes (Tall et al., 2001, p.88) Before reaching the proceptual level, students can do a specific computation by knowing a specific procedure and then they become more flexible and efficient forming a process out of multiple procedures (see Figure 1). To distinguish procedure and process, they meant procedure as “a specific sequence of steps carried out a step at a time” and Experiences with Symbolism 15 process as “in a more general sense any number of procedures which essentially have the same effect” (Tall et al., 2001, p. 7). As an example, solving a linear equation, 3x + 2 = 17, is a process in general but solving this equation by subtracting 2 from both sides and then dividing both sides by 3 is a procedure. If a student can solve the equation with the procedure accurately and it is the only procedure available to him, he is at the procedural level in the spectrum. However, when he has other procedure(s) and he can relate procedures meaningfully, he is at the process level. So the ‘process’ here as a noun is more than the sum of multiple procedures and more advanced than processing the task to get a result. By relating them to the SOLO (Structure of Observed Learning Outcome) taxonomy (Biggs & Collis, 1982), each level in the procept model will be understood better. The SOLO taxonomy has five levels: prestructural, unistructural, multistructural, relational, and extended abstract. Olive (1991) used the taxonomy to analyze students’ performance of geometric tasks and so he explained that unistructural students can “use one piece of information only in responding to the task” (p. 91). This level corresponds to the procedural level in the procept model in that students in this level can do only one procedure. As developing from the multistructural level to the relational level in the SOLO taxonomy, it is said that students become able to relate multiple information. These two levels correspond to the process level in the procept model where students have multiple procedures and relate them to each other so that they develop their process. Finally, the proceptual level is parallel to the extended abstract level in the SOLO taxonomy where students can “derive a general principle from the integrated data that can be applied to new situations” (Olive, 1991, p. 92). Thus, by looking at the structure of Experiences with Symbolism 16 the students’ learning outcomes (relative to SOLO) I shall be able to locate students’ progress and developmental sophistication relative to the procept spectrum. In the procept spectrum (see Figure 1), I interpret ‘progress’ as being fluent at each level; for example, at the procedural level students become fluent at solving linear equations and then they can solve them accurately with a procedure. As moving toward the proceptual level, students develop their mathematical sophistication. However, the procept model did not show explicitly how students make the development from a level to the next. As a parallel model to the procept model, APOS theory (Dubinsky & McDonald, 2001) explained students’ learning of any mathematical concepts by mental constructions of actions, processes, objects, and schemas. Those with an action conception can perform an operation with external stimuli. Then through repeating an action and reflecting on it they can construct a process, which allows them to perform the action without external stimuli. From a process, the students construct an object when they consider the process “as a totality and realize that transformation can act on it” (p. 274). Finally, a schema for a mathematical concept is constructed as a collection of the mental constructions of actions, processes, and objects, and other schemas so that students can access and use the cognitive structure to solve related mathematical problem situations. When APOS theory is applied to students’ learning of symbolism, it is quite similar to the procept model. Both suggest some mental constructions, which are hierarchical, although not necessarily linear. Also the mental constructions in both models correspond with each other. However, both seem to explain students’ learning of Experiences with Symbolism 17 symbolism within symbols rather than paying more explicit attention to the relationship with other forms of representation. Since this study will investigate students’ symbolism in relation to other forms of representation, adopting another model for explaining the relationship seems necessary. In that sense, Kaput’s (1991) representation model seems helpful with the models previously mentioned together. Cognitive Cog A Cog B Operation (Deliberate) Interpretation or (Passive) Evocation Outward Projection (writing, speaking, drawing, etc.) A B Individual Acts of Reference Shared A Shared Referential Meaning Shared B Figure 2. Kaput’s referential relationship (1991, p. 60) Kaput (1991) explained the referential relationships between ‘notation A’ as a representation (the term ‘notation’ was used as a collective term of representations.) and ‘referent B’. In his model (see Figure 2.), the bottom rectangle describes the relationship between A and B as we consider it as consensual (e.g. the symbolic expression y = 3x + 2 [A] represents the line [B] with slope 3 and y-intercept 2). However, when considering Experiences with Symbolism 18 individuals’ referential relationships, he insisted that the cognitive acts should be included. The upper rectangle describes “acts of interpretation, mental operation, and projection to a physical display” through which individuals make A and B related referentially (p. 59). Then he emphasized that the acts happened in the subjective world but the result of the mental acts would be shown in a material form of referent B. In the present study, Kaput’s (1991) model will play the major theoretical framework to explain students’ sense-making of algebraic notations in relation to other representations, which is the first research question in this study. Since the mathematical content of the present study is to represent changing situations with two variables, considered other representations are narrative, tabular, and graphical representations. Narrative representation Symbolic representation Tabular representation Graphical representation Figure 3: Referential relationship under this study Among four forms of representation shown in Figure 3, six ways of referential relationship will be investigated in this study. The other six ways will not be investigated Experiences with Symbolism 19 directly, but they will be discussed somehow through symbolic representations. That is, students’ referential relationship between tabular and graphical representations will be implied by those between tabular and symbolic representations and between symbolic and graphical representations. Since symbolism is the main focus in this study, symbolic expression will be placed in ‘notation A’ in the diagram (Figure 2). The other representations such as verbal, tabular, and graphical will play as referents in order to explain how students make sense of symbolism. For instance, with this diagram it will be explained how students interpret a narrative situation where two variables change relatively, what mental operation they go through and how they relate the situation with symbolic expression. Since the referential acts are bi-directional, the other direction will be also explained. In particular, when explaining students’ “acts of interpretation, mental operation, and projection to a physical display” in each referential relationship (see Figure 2), either the procept model or APOS theory (whichever makes better sense with the data) will inform me to analyze the data. While explaining students’ sense-making of symbolism, I expect that a certain mathematical concept of students will emerge in the context. The possible relevant concepts would be those of variables or rates. These concepts will be selected as answering the first research question, and the analysis of them will be what students’ concepts are and how they develop, if ever, through mathematical activities under the second research question from my perspectives. Experiences with Symbolism 20 Methodology The present study is to be conducted within the activities of a NSF-funded ongoing project, Coordinating Students’ and Teachers’ Algebraic Reasoning (CoSTAR). The project purposely studies “teachers’ and students’ understandings of shared classroom interactions and ways that teachers and students work together to shape the teaching and learning of middle-school algebra” for three years (Izsak et al., 2002, p. 2). Whereas CoSTAR investigates both teachers’ and students’ algebraic reasoning, the present study is to be conducted from only the students’ perspectives, so that some activities (such as classroom interactions) that will be approached through both teachers’ and students’ perspectives in CoSTAR, are to be interpreted only from the viewpoint of the students in this study. Participants in the present study are selected from students in Pierce Middle School, a rural school that provides the research site for CoSTAR. Participating students are in grade 7 in the academic year 2003-2004 and they begin to learn algebra with materials from the Connected Mathematics Project (CMP; Lappan et al., 2002). Teachers in Pierce Middle School select 6 units out of 8 in CMP material to teach, and the second unit, “Variables and Patterns: Introducing Algebra”, is the mathematical content of this study. The unit is composed of 5 investigations, but the last investigation, “Using a Graphing Calculator”, is excluded in the study since it is mainly about how to draw a graph and make a table on a calculator, not to use a graphing calculator as an investigating tool for the mathematical topics. The four investigations under this study are “Variables and Coordinate Graphs”, “Graphing Change”, “Analyzing Graphs and Tables”, and “Patterns and Rules”. Through out these investigations, CMP asks students Experiences with Symbolism 21 to (1) recognize problem situations in which two or more quantitative variables are related to each other, (2) find patterns that help in predicting the values of a dependent variable as values of other related independent variables change, (3) construct tables, graphs, and simple symbolic expressions that describe patterns of change in variables, and (4) solve problems and make decisions about variables using information given in tables, graphs, and symbolic expressions (Lappan et al., 2002, p.4). In particular, changing situations in this unit are introduced without the notion of functions, and one situation where students organize bicycle tours is used as a context throughout the four investigations. Since CoSTAR launched its investigation in the spring of 2003, I have worked for the case study of Ms. Susan Moseley including observing and taping her classes and her student interviews. In Ms. Moseley’s class, three pairs of students have already participated in the case study in CoSTAR. As avoiding overlap, four students are selected for the present study based on Ms. Moseley’s recommendation. I mainly consider students’ participation in class activities, their abilities for self-expression, and compatibility with a partner to include them in this study. So two boys, Greg and Jeffrey, and two girls, Angela and Peggy, are included. With the background information aforementioned, the rest of the methodology section will discuss methods of both data collection and data analysis. The data collection section will include data collection methods and interview protocols, and the data analysis section will include data analysis methods and an example of data analysis. Experiences with Symbolism 22 Data collection The data collection method in this study has two layers. The first layer is also a part of CoSTAR data collection and it is to videotape the classroom activities on a daily basis through out the unit. For each class, two project staff members capture the classroom activities from two different angles. One with a stationary camera records the teacher’s perspective, which contains teacher’s written work on the front board and the whole class view, and the other with a mobile camera records students’ perspective, which includes students’ written work on their seats and the group working view. Once class taping is done, two views from both cameras are synchronized and digitized through a video mixer. Therefore, we can see one view from the stationary camera in the main view with the other view from the mobile camera in the small view on top of the main view at the same time, or vice versa. In addition, lesson graphs (see Appendix) are written for each class, which show how class activities go and what mathematical issues emerge in the class along with the time stamps. Mixing two views and writing lesson graphs are done on the same day of taping and these are shared responsibilities with CoSTAR staff. As the second layer of the data collection of this study, I conduct a series of interviews with participating students. Based on observation of classroom activities and lesson graphs, interview tasks are carefully chosen in order to answer the research questions. In particular, watching classroom activities and reading lesson graphs over time helps me determine what mathematical issues around algebraic notations this study will investigate. So each interview aims to look at students’ sense-making of the targeted algebraic notations and their concept development with them. However, as the Experiences with Symbolism 23 interviewer, I would not limit the purpose of the interviews to understanding students’ experiences of symbolism but would sometimes ask probing questions relating to their classroom activities. By doing so, I would rather extend their experiences by actively interacting with participants so that they could possibly have learning experiences during the interviews as a benefit of involvement with this study and I could also have dynamic and rich data, which I could analyze for purpose of answering my second research question concerning students’ mathematical concepts. Each interview is also video-recorded with two cameras, likewise for description of taping classroom activities. One stationary camera provides a whole picture of an interview and the other captures a focused view of students’ work. During the interviews, I interact with a pair of students; Angela and Jeffrey make one pair and Greg and Peggy make the other. The main reason for pair interviewing is that students can reveal their thoughts more clearly by communicating with each other rather than having one-to-one interaction with the interviewer. They also can provoke each other’s thinking through interactions and by reflecting on their own thinking relative to that of the other. However, neither interactions between students nor their possible interactions with the interviewer are the main focus of the analysis of this study. Rather each individual student’s thinking as it relates to the research questions is to be the main focus of the analysis. In order to follow the data collection schedule in CoSTAR, I have already conducted all interviews with the students. Retrospectively, interviews had two phases according to the time line. The first phase of interviews were conducted in the fall of 2003 when students were taught the unit, “Variables and Patterns”, in class. Each pair of students had five 50 to 60 minutes interviews, one each week from early November to Experiences with Symbolism 24 mid December in 2003. By the end of 2003, ten interviews were all synchronized and digitized and the interview graphs were completed. Interview graphs have the same format as lesson graphs, showing how the interview proceeds, along with the interviewer’s notes. After reviewing the ten interviews, I planned to have the second phase of interviews with the same pairs in February 2004 in order to pursue issues that were not answered in the fall of 2003 due to the time constraint and the interviewer’s lack of research experience. I proposed to interview each pair of students three times and finished six interviews by mid February 2004. Whereas the interview schedules in the first phase were constrained by both the school activities and the CoSTAR data collection schedule, the second phase interviews were not so constrained by students’ learning in class. Thus, the six interviews were conducted in two weeks. In addition, while the intent of the first phase of ten interviews was to investigate students’ thinking as focusing on emerging issues following the classroom activities, the second phase of six interviews was to understand how students relate algebraic notations to the other forms of representation in order to make sense of algebraic notation for changing situations. Thus the second phase of interviews targeted the research questions more directly as supported by the first phase of interviews. The purpose of the interviews in the first phase was to see how students relate different forms of representation to make sense of algebraic notations used in classroom activities and how their related mathematical concepts develop. The specific goals of the interviews were: Experiences with Symbolism 25 Students are to describe a situation with two variables, to identify variables in a situation, to identify which variable is independent and which is dependent, and to plot the graph of two variables. Students are to make a table and/or a graph after reading a narrative of a changing situation, to interpret data given in a table and a graph, and to compare tabular, graphical and narrative representations of the situation. Students are to search for patterns of change in a graph and a table, to describe a situation with verbal rules, and to predict a change. Students are to show their understanding of the relationship between rate, time, and distance, to identify and represent rates in a table and graph, and to express patterns in symbols. In order to pursue the goals, I developed the interview protocol based on my own analysis of the unit, “Variables and Patterns”, and emerged issues from observing students’ classroom activities. Below, I provide the interview protocol containing sets of prototype questions under eight themes. Themes 1. Variables 2. Independent vs. dependent variables Interview questions What does variable mean to you? Create examples of variables. Create situations where two variables change relative to each other. What do independent and dependent mean to you? How do you tell which variable is independent and which is dependent variable in the changing situation? Experiences with Symbolism 26 3. Representing changing situations 4. Connecting data points on a graph 5. Distance vs. steepness of segment connecting two data points on a graph How do you represent a changing situation? Can you generate a data set of your changing situation based on your invented story? Given a table, can you draw a graph? How do you determine if a given data set is cumulative or not? Given a table or a graph, can you make up a story? Can you discern a pattern in a table or a graph? What does the scale mean to you in a graph? How does the scale help you understand the graph? Does connecting coordinate points always make sense on a graph? When do you decide to connect the data points on a graph? Can you think of various ways to connect data points? How are they different from each other? Given a certain way to connect data points, what does that way indicate to you about the data? Where do you see the most increase/decrease in a given graph? How about the least increase/decrease? Does connecting data points help you see the increase/decrease? How? What do you mean by the ‘distance between dots’, ‘(diagonal) space between dots’, or ‘biggest jump’ [theses are students’ verbatim in class discussion]? What does the steepness mean to you? How is it different from the ‘distance between dots’? How do you compare steepness of two different line segments? Can you measure the steepness? Can you draw a line segment of the same steepness with a given line segment? How about steeper one, or less steep one? 6. Constant rate of change What does the constant rate of change mean to you? How can you use the constant rate of change to answer some questions? How do a graph and a table show the constant rate of change? 7. Slope of line segment What does the slope mean to you? How do you determine the slope of a line segment? Experiences with Symbolism 27 8. Symbolic representation What does a general rule mean to you? How can you use symbols to represent the general rule? How does the formula tell you the story? Can you generate a table with a given formula? Can you draw a graph with a given formula? How does a formula show independent and dependent variables of the changing situation? How does a formula show a constant rate of change? How does a formula show a slope of a line segment? While the first phase of interviews addressed most of the questions in the protocol, the second phase of interviews focused on several themes only. That is, I pursued questions of how students use symbols to represent changing situations and how they make sense of symbolic representation with respect to the other modes of representation. Some interview questions were adapted from the CPM unit being studied. The daily interview protocol in the second phase of interviews is shown below. The day numbers begin at Day 6 to be consecutive with the 5 days of interviews for each pair conducted during the first phase. Experiences with Symbolism 28 Day 6 1. What do you think a rule means? 2. Suppose you are asked to baby-sit your younger sister or brother and your parents would pay you $3 per hour. Can you find a rule for the total payment? Can you use symbols to express the rule as an equation? 3. Suppose you join a book club and you have to pay $10 membership fee and $4 per book purchased. Can you find a rule for the total cost? Can you use symbols to express the rule as an equation? 4. This table shows the relationship between the number of people on a club picnic and the cost of lunches. Can you find a rule for the cost? Can you use symbols to express the rule as an equation? Using the equation, can you find the lunch cost for 25 people? How many people could eat lunch if they had paid $89.25? The number of people Cost in dollars 1 4.25 2 3 4 5 6 7 8 9 8.50 12.75 17.00 21.25 25.50 29.75 34.00 38.25 5. This graph shows the relationship between the number of concert tickets and the total cost. Can you find a rule for the total cost? Can you use symbols to express the rule as an equation? 80 70 Total cost 60 50 40 30 20 10 0 0 5 10 15 N um ber of tickets 20 25 Experiences with Symbolism 29 Day 7 1. Given the equation, d = 8t, can you make up a story? What does d, 8, and t, represent in your story respectively? 2. Make a table that shows the distance traveled for every hour up to 5 hours. 3. Can you make a table that shows the distance traveled for every half hour up to 5 hours? How do the two tables differ? What do they have in common? 4. Draw a graph of the equation, d = 8t. 5. Make up a story with an equation C = 2n + 5 and draw a graph of it. Day 8 Sidney started a table to help the partners determine their cost for the bike tour. Number of customers 1 2 3 4 5 6 7 8 9 10 Bike rental $30 60 90 120 150 180 210 240 270 300 Food and camp costs 125 250 375 500 625 750 875 1000 1125 1250 Van rental 700 700 700 700 700 700 700 700 700 700 1. Can you find a rule for the total cost for any number of customers? Can you write the rule with symbols? 2. Theo’s father has a van he will let the students use at no charge. Then write a new rule for the total cost for any number of customers with symbols. 3. If the partners require customers to bring their own bikes, write a new equation for the total cost. Experiences with Symbolism 30 Data analysis Video-recorded interviews are to be the primary data set along with students’ written work in this study. The method to analyze the video data is informed by iterative videotape analyses (Lesh & Lehrer, 2000), which have several interpretation cycles. The first interpretation cycle includes debriefing, which includes brief notes and feedback from both the interviewer and possibly some project staff and these are saved as word documents right after each interview. In fact, unlike the first phase of interviews, Dr. Olive observed the six interviews in the second phase while operating the camera capturing students’ written work and he provided feedback after each interview. The second interpretation cycle includes producing interview graphs, which have the same form with the lesson graphs, while playing videotapes of interviews before conducting the next interview session. The third interpretation cycle includes writing transcripts for selected interviews. Since the second phase of interviews was more directly oriented toward the research questions, they are to be transcribed completely. However, selective transcripts for the first phase of interviews are planned. The last interpretation cycle is to analyze all the interviews across students. Unlike the three previous interpretation cycles, the fourth cycle is to be repeated to produce interpretations of students’ activities from the theoretical perspectives of the present study. In order to answer the research questions, supplementary data sets, such as students’ homework, notebook, written quiz and video clips showing their participation and discussion in classroom activities, are also to be included whenever necessary. Experiences with Symbolism 31 In the rest of this section, I will present an initial analysis of a part of interview as an example of data analysis. The analysis is about Greg based on the interview on February 12, 2004. Interview tasks are shown in the Day 7 interview protocol in the previous section. The analysis here includes the interview tasks related to the equation d = 8t. I will mainly describe Greg’s referential relationships from the equation to a table and a graph in terms of how he interpreted the equation, what operations he did in order to relate the equation to a table or a graph and how he projected his interpretations and operations into a table and a graph based on Kaput’s (1991) model (see Figure 2). Also I will describe his concepts of variables and rates through a description of his referential relationships. Before I asked Greg to generate a table from the equation d = 8t, Peggy made up a story of traveling 8 miles per hour with d for the traveled distance and t for the time traveled. She said, “You’re traveling from Georgia to Washington, D. C and you’re traveling 8 miles per hour. And you have different time intervals for when you stop.” Greg agreed on Peggy’s story as saying, “I think it’s just like what she said”. Then, when asked to make a table, Greg made a table with two columns and put distance on the left and time on the right (see Figure 4 (a)). He wrote down the times first from 1 hour to 5 hours by a half hour interval but missing .5 hour and wrote 8 in the distance column for 1 hour. Then he stopped writing distances and added .5 hour in the time column. Next he filled the distance column by adding 4 to each proceeding values, starting from 0. He described what he did as saying; Experiences with Symbolism 32 “I did my time and I went by 30 minutes intervals in all. And I went all the way to five and [for] each [half hour] I added 4 each time. And each hour it was 8 and you added 8 to each hour, like 4 then 8 and 12 and 16”. (a) Greg’s table (b) Peggy’s table Figure 4: Students’ tables for the equation So apparently Greg interpreted 8 in the equation as 8 miles for every hour and he could add 8 miles repeatedly. In addition, he used the relation symbolized by the equation to generate 4 miles for every half hour, which I considered as evidence of his concept of a constant rate. When projecting his interpretations and operations into a table, he did so without any hesitation. Unlike the convention, he put the distance column in the left of the table, but he still wrote the time column first and then filled in the distance column. Greg indicated that he regarded distance as the dependent variable and time as the independent variable when he said, “I think the time is the independent variable because it doesn’t like rely on anything else to have it change.” Moreover, he recognized the changing patterns in both variables as saying, “they both change at a set interval”. That is, he was able to recognize linear patterns in both variables and the relationship between two variables, which I think will be critical when he has a situation with uneven intervals for either variable. Experiences with Symbolism 33 When I asked Greg to explain differences between his table and Peggy’s, he considered both were basically the same. I think this showed Greg’s understanding of rate and patterns in changing situations at the same time. Below is the excerpt from the interview. I: Do you see the difference between these two (pointing to the two tables in Figure 4)? G: Yes. I: OK, would you tell me? G: The intervals are different, the time and distance on each one. I: The intervals are different. I mean the intervals in the time, right? How about the intervals in the distance? G: Not really because all you’re doing is just breaking it down to where it’s half go with the… I: OK, what do you mean by breaking down? G: Like 4 is half of 8 so you just divide it by 2 and it’s just because it’s half hour that you do that. Then I asked both students to draw a graph for the equation, but both seemed to draw their graphs based on their tables. Greg put the time on the x-axis with the scale of .5 hour and the distance on y-axis with the scale of 2 miles. Then he plotted data points correctly. However, Greg wrote labeling numbers on the grid square rather than on the grid line as in Figure 5. When he explained about his graph, he knew which grid line he meant by a certain number. So it did not cause any trouble at this point. Experiences with Symbolism 34 Since I assumed that Greg drew the graph from his table, I asked him whether he could draw a graph from the equation without looking at his table. He said yes right away and explained, “You can go by 8 each time for distance and for each hour you have to set, you would have to set how many hours, like it was 5. You would do 5 down here, then you could figure out, just plot it each time.” Figure 5: Greg’s graph of d = 8t When drawing a graph from the equation, his interpretation and operation were the same as when making a table. He seemed to set an hour time interval for his convenience so that he could plot the data points easily. However, when he plotted the data points, he confused himself by his way of labeling unlike the previous graph. Then his graph looked different from what he meant. Eventually, this led to a discussion between Greg and Peggy when Peggy tried to interpolate data points for half hours in Greg’s graph. In listening to what Peggy said about his graph, Greg reflected on his way of labeling the axes. So when asked what would be a better way to put the numbers on the axes so as to avoid confusion, Greg rewrote the numbers on the grid lines. As my analysis in terms of Kaput’s model (see Figure 2), Greg apparently interpreted the equation d = 8t as a relationship between distance and time. That is, he interpreted the equation as the situation where the distance changed according to the time Experiences with Symbolism 35 at the rate of 8 miles per hour. The important thing here is that he conceived the letters of d and t as variables with the relation, not as simply naming distance and time. Thus as his cognitive operation, he was able to specify time first and figure out the matching distance with the relation of 8 miles per hour. Moreover, since he conceived time as the independent variable, he was able to specify time flexibly either one-hour or half-hour intervals. When he chose a one-hour interval, he could apply the relation of 8 miles per hour to find out the matching distances for each hour by adding another 8 miles repeatedly as he moved to the next hour. When he chose a half-hour interval, he kept the relation but he was able to “break it down” as dividing 8 by 2 since it is a half-hour interval. I infer that by using his concept of a constant rate, he was able to consider ‘8 miles per hour’ and ‘4 miles per half-hour’ as the same rate. This flexibility showed that Greg was able to conceive the symbol ‘d = 8t’ as signifying a process and a concept at the same time. Thus it could be evidence that Greg reached a proceptual level (Tall et al., 2001) or constructed an object (Dubinsky & McDonald, 2001) for the equation d = 8t. Projecting from the equation into a table seemed very natural to Greg as he put his specified times and the matching distances in the two columns. Also, when projecting from the equation into a graph, he seemed to have no problem in plotting the pairs of specified time and the distance but his way of labeling axes caused some confusion. In summary, this analysis highlighted three elements in Greg’s referential relationship (Kaput, 1991) from the equation d = 8t into a table and a graph. He was successful in interpreting the referent equation as the relation of two variables, specifying the variables, and projecting the results of these cognitive operations into a table. However, his projection into a graph indicated that a graphical representation was not as Experiences with Symbolism 36 intuitive as a tabular representation, even when accomplishing deliberate interpretation of the equation and cognitive operation from the interpretation. That is, when projecting into a table, Greg focused on his operation of specifying variables and simply put matching values in the same row of the table. He did not need to worry about the convention of where to put these values. However, when projecting into a graph, his cognitive operation had to include the conventions of graphical representations such as appropriate scales and numerical labels on both axes. The conventions seemed not quite intuitive to Greg so that his ways caused some confusion in communicating with Peggy. Nonetheless, when explaining how to plot, Greg put his pencil at a value on the x-axis, went up by matching the appropriate y-value, turned his pencil to the left, and went horizontally to the y-axis, physically demonstrating where his pencil turned as the point to be plotted in the coordinate system. Then while actually plotting, he began at a value on the x-axis, went up by the matching y-value, and put a point without drawing the horizontal line. Apparently, he seemed to visually coordinate his position with the y-axis. I considered that this physical projection was the result of the fundamentally same cognitive operation as he used for a tabular representation except for the conventions of a graphical representation. In further analyses, Greg’s success will be contrasted with other students’ difficulties in order to address my research questions concerning students’ experiences with symbolism. Experiences with Symbolism 37 Reference Biggs, J. B., & Collis, K. F. (1982). Evaluating the quality of learning: the SOLO taxonomy (Structure of Observed Learning Outcome). New York: Academic Press. Cobb, P. (2000). From representations to symbolizing: introductory comments on semiotics and mathematical learning. In P. Cobb, E. Yackel, & K. McClain (Eds.), Symbolizing and communicating in mathematics classrooms: perspective on discourse, tools, and instructional design (pp. 17-36). Mahwah, NJ: Lawrence Erlbaum Associates. Dubinsky, E., & McDonald, M. A. (2001). APOS: a constructivist theory of learning in undergraduate mathematics education research. In D. Holton et. (Eds.), The teaching and learning of mathematics at university level: an ICMI study (pp. 273280). Kluwer Academic publishies. Hiebert. J., et al. (1997). Making sense: teaching and learning mathematics with understanding. Portsmouth, NH: Heinemann. Hibert, J., & Carpenter, T. P. (1992). Learning and teaching with understanding. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 65-97). New York: Macmillan. Izsak, A., Findell, B., Olive, J., & Orrill, C. (2002). Coordinating students’ and teachers’ algebraic reasoning. Unpublished project proposal. Kaput, J. (1991). Notations and representations as mediators of constructive processes. In E. von Glaserfeld (Ed.), Radical constructivism in mathematics education (pp. 53-74). The Netherlands: Kluwer Academic Publishers. Experiences with Symbolism 38 Kieran, C. (1992). The learning and teaching of school algebra. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 390-419). New York: Macmillan. Kline, M. (1972). Mathematical thought from ancient to modern times. Oxford, UK: Oxford University Press. Lappan, G. et al. (2002). Connected Mathematics. Glenview, IL: Prentice Hall. Lesh, R., & Lehrer, R. (2000). Iterative refinement cycles for videotape analyses of conceptual change. In A. E. Kelly & R. A. Lesh (Eds.), Handbook of research design in mathematics and science education (pp. 665-708). Mahwah, NJ: Lawrence Erlbaum Associates. Mason, J. H. (1987). What do symbols represent? In C. Janvier (Ed.), Problems of representation in the teaching and learning of mathematics (p.73-81). Hillsdale, NJ: Lawrence Erlbaum Associates. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: NCTM. Olive, J. (1991). Logo programming and geometric understanding: an in-depth study. Journal for Research in Mathematics Education, 22, 90-111. Sfard, A. (1995). The development of algebra: confronting historical and psychological perspectives. Journal of Mathematical Behavior, 14, 15-39. Sfard, A., & Linchevski, L. (1992). The gains and the pitfalls of reification – the case of algebra. Educational Studies in Mathematics, 26, 191-228. Stacey, K., & MacGregor, M. (1997). Ideas about symbolism that students bring to algebra. Mathematics Teacher, 90, 110-113. Experiences with Symbolism 39 Steffe, L. P., & Wiegel, H. G. (1996). On the nature of a model of mathematical learning. In L. P. Steffe, P. Nesher, P. Cobb, G. A. Goldin & B. Greer (Eds.), Theories of Mathematical Learning (pp. 477-498). Mahwah, NJ: Lawrence Erlbaum Associates. Tall, D. et al. (2001). Symbols and the bifurcation between procedural and conceptual thinking. Canadian Journal of Science, Mathematics and Technology Education, 1(1), 81-104. von Glasersfeld, E. (1995). Radical constructivism: a way of knowing and learning. London, UK: The Falmer Press. Wheeler, D. (1989). Contexts for research on the teaching and learning of algebra. In S. Wagner & C. Kieran (Eds.), Research issues in the learning and teaching of algebra (pp. 278-287). Reston, VA: NCTM. Experiences with Symbolism 40 Appendix: Example of interview graph Interview with Peggy & Greg on Feb 12 2004 Time Description 8:13:27 Interview begins with providing an equation “d = 8t” and asking Peggy to read the equation. She reads, “d equals to 8 times t.” Then I ask them to make up a story. Peggy tells that d can be a distance traveled at 8 miles per hour. She clarifies that d stands for a distance, 8 means 8 miles per hour, and t stands for the time. Greg agrees as saying that he thought as Peggy told. 8:15:10 Then with the equation I ask them to make a table for every hour up to 5 hours. Greg makes a table for every half hour and with two columns of distance and time. He sets up the time first and writes the distance for the time. Peggy makes a table for every half hour first and changes into for every one hour. 8:18:05 I ask Peggy to explain why she changed into every hour. Peggy tells that she simply forgot and remembered my direction. For the distances, Peggy tells that she added 8 for each hour since the speed is 8mph. Then I ask about the distance for hour 4 and Peggy realizes her mistake and corrects it. * Lesson graph has the same format with interview graph. Comment Interview tasks are to generate other forms of representation from symbolic representation. Greg makes his table with a half hour interval, which is my next question.