Reinventing Realistic Mathematics Education at Berkeley—Emergence and Development of a Course for Preservice Teachers
Abstract
A central principle of Realistic Mathematics Education (RME) is that learners experience guided opportunities to reconstruct cultural practices and artefacts in the course of attempting to solve engaging problems using emerging resources as structuring tools. The same principle plays out at the meta level, across ages, geography, and functions, where instructors experience opportunities to reinvent RME as they adapt its principles to satisfy specific design constraints and local needs. This chapter recounts a collaborative effort to create at the Graduate School of Education, University of California, Berkeley, graduate and undergraduate courses for preservice mathematics teachers that incorporates tenets of RME, while accommodating to prescribed and emerging constraints of local contexts, such as stipulation of federal funding, as well as the collective histories and prior schooling experiences of preservice teachers, most of whom are encountering this didactical approach for the first time.
Keywords
Course development Mathematics education Preservice teachers Problem solving Undergraduate14.1 Reinventing Realistic Mathematics Education at Tel Aviv University: Dor’s Story
The story begins in the fall of 1992 when I, Dor Abrahamson enrolled as a graduate student in the cognitive psychology master’s programme at Tel Aviv University. Having served as a ‘big brother’ in Jerusalem, taught enrichment classes in the periphery, and enjoyed some circumscribed adventures in designing instructional devices, I arrived with a deep humanistic conviction that children’s prospects could be greater than what educational systems offer. I was astonished by the epistemic abyss between students’ natural perceptual sensitivities to the phenomenal world and their confusion over mathematical propositions that model the very same phenomena.
Mathematics learning, I believed, should always begin from situated sensorimotor experiences. There should be some engaging activity that gives rise to a surprising problem; and through tackling this problem with available resources, the student should arrive at new insights. Throughout, the teacher facilitates this activity by highlighting relevant elements of the situation, providing these resources that productively problematise the child’s judgments, shaping the child’s reflection on the experience, and supporting a formulation of the insight in cultural structures that mediate mathematical practices.
Yet, if we do not stretch the ruler and keep the small units from the small picture on the left to measure the heights in the other pictures, then the heights of the three pictures would measure at 2 and 3, 4 and 6, and 6 and 9. In particular, the difference between Danny and Snowman’s heights then measures as 1, 2, and 3 units, respectively. I was interested in understanding whether or not children’s tacit perceptual expectations (‘same difference’) might cause cognitive conflict with the normative quantification routines (‘different differences’!) and if, somehow, resolving this conflict may support students’ articulated understanding of proportional equivalence as an entry into the multiplicative conceptual field.
My case studies had suggested that, indeed, children naturally expect pictorial identity to imply uniform measures: “If it is the same picture, then the heights should be the same, too.” They were invariably befuddled when I pointed out that the absolute differences between these measured heights are different across the images: “If these are the same pictures, then how can the difference be different?” And yet, then they would reason: “The bigger the picture, the bigger the difference!” This insight, which much later I would learn to theorize either as a hypostatic abstraction, reflective abstraction, or abductive inference…, would then impel the children to further experimentation with larger pictures and finally to validation, to their great gratification as well as to mine (Abrahamson, 2002, 2012).
Still back in the 1990s at Tel Aviv University, I sought to develop my thesis by grounding my observations in the literature of the discipline. And yet that did not prove to be too simple. The epistemic climate of cognitive psychology, at least the climate of the leading experimental journals that populated our library, appeared uninviting of a perspective on mathematics learning grounded in tacit perceptual capacity. My quest brought me to the pinnacle of Tel Aviv University—the Education Library that resided on the very top floor of the Sackler Faculty of Medicine. There, amid stunning Mediterranean sunsets, I found it: a paper by Van den Brink and Streefland (1979) that was about to change everything.
Van den Brink and Streefland discuss a conversation between Coen (8;0) and his father about a poster showing a man and a whale. The child realised something was wrong with the ratio between the man and the whale that had been exaggerated for effect. Coen reasoned about this error by citing an image he had seen elsewhere. That child was taken very seriously by the authors of the paper. It is precisely these didactical materials and these forms of reasoning, they argued, that we should be recruiting so as to promote and support meaningful mathematical learning. Finally, I had found my ‘sensei’ in Realistic Mathematics Education (RME).
Fastforward a decade or so, this chapter recounts the story of an international effort, a mixed relay to carry the RME torch from Utrecht across the Atlantic, by way of Brooklyn, to the University of California Berkeley (UC Berkeley). Along the way, this torch was carried by different athletes and took many forms, and yet we have all been attempting to keep the essential flame alive. We describe how, at each station westward, local objectives and contingencies shaped the specific materialisations of the RME didactics. In particular, we discuss the development of courses for preparing preservice mathematics teachers to design and facilitate problembased instruction inspired by RME. In the next section, Betina Zolkower, the second author, will narrate her ongoing lifelong investment in RME dissemination by way of Southern Argentina, the Netherlands, and Brooklyn, New York. A chance meeting with Abrahamson, the first author, instigated the appropriation of Zolkower’s methods for teaching mathematics in middle school courses to Berkeley, where it framed a graduatelevel course on cognition catering to preservice mathematics teachers. At the behest of Stone, the third author, and again with Zolkower’s support, this course was reredesigned into an undergraduate course for preservice mathematics teachers, part of Berkeley’s Cal Teach initiative. A successful staple of Cal Teach, since then this course is taught annually by Abrahamson in collaboration with doctoral students from the Graduate School of Education.
This chapter is not offered as a theoretical piece, neither should it count remotely as experimental. Instead, we present a brief case study—a biography of sorts—with a modest scope of generalisation, with the hope that this story might encourage our fellow practitioners that Realistic Mathematics Education can and should be reinvented in diverse guises. Fiat lux!
14.2 Meanwhile, in New York City: Betina’s Story
14.2.1 At the Graduate Center of City University of New York
In 1987, I, Betina Zolkower, enrolled in the PhD Sociology Program at the Graduate Center of City University of New York. As a graduate student in that programme I acquired analytical tools for inquiring into the mechanisms through which, notwithstanding cycles or reforms and counterreforms, mathematics education continues to perpetuate social inequality by providing uneven opportunities to different socioeconomic status groups to acquire that form of academic capital that constitutes successful performance in school mathematics. My thesis included fieldwork in 4th and 5th grade classrooms in Spanish Harlem attended by recently migrated, Spanishspeaking children, many of them from Mexico. There I witnessed firsthand the effects of camouflaging the ubiquitous, stereotypical word problems into supposedly culturally relevant story problems. Rather than contributing meaning and purpose to classroom activities, these micronarratives added an extra layer of noise to students’ efforts at deciphering the underlying mathematical structure of those problems.
14.2.2 Mathematics in the City: Learning and Practicing Realistic Mathematics Education
The experience of witnessing firsthand the negative effects of story and word problems on English language learners directed me towards RME, an approach premised on the view of mathematics as a human activity that consists of mathematising subject matter from reality, including mathematics itself (Freudenthal, 1991), with the aims of searching for generality, certainty, exactness, and brevity (Gravemeijer & Terwel, 2000), and mathematics teaching/learning as guided reinvention: mathematics is best learned when students are guided to reinvent mathematising by organising or structuring problematic situations embedded in realistic contexts and situations using mathematical tools (Freudenthal, 1991). In other words, as they organise mathematically those situations, students are guided to reconstruct their initial, situated material/mental activity, by verbalising, symbolising, and diagramming the relationships found therein. In Dutch, ‘zich realiseren’ means to imagine; thus, in this broader sense, a situation is realistic insofar as it appears to the learner as reasonable or imaginable (Freudenthal, 1991; Van den HeuvelPanhuizen, 1996).Word problems are rather unappealing, dressed up problems in which the context is merely window dressing for the mathematics put in there. One context can be changed for another without substantially altering the problem […]. The aim of RME, by contrast, is to place oneself in the context and learn to think within it […]. (Van den HeuvelPanhuizen, 1996, p. 20)
During the final stages of my doctoral studies, I joined Mathematics in the City, a teacher enhancement project funded by the National Science Foundation and directed by Catherine T. Fosnot in collaboration with two faculty members from the Freudenthal Institute, Willem Uittenbogaard and Maarten Dolk. Participation in this project apprenticed me into mathematics learning, teaching, and teacher education from the perspective of RME. In 1996, I visited the Freudenthal Institute to attend a summer institute on the textbook series (in preparation) Mathematics in Context (National Center for Research in Mathematical Sciences Education [NCRMSE] & Freudenthal Institute, 1997–1998). This experience as well as the ongoing mentorship of Uittenbogaard, with whom we collaborated in coteaching lessons and cofacilitating workshops and seminars, helped me appropriate Freudenthal’s ideas. I learned how to plan and enact minilessons to strengthen students’ mental arithmetic skills; acquired an eye for finding mathematisable matter in the world and using it as raw material for instructional design; developed flexibility in using a variety of structuring models (e.g., open and double number line, ratio table, bar model, notebook notation, combination charts); and appreciated the value of models as levelraising tools, the central role of students’ constructions and productions in teaching/learning processes, and the paramount function of teacherguided interaction in expanding students’ potential for making and exchanging mathematical meanings.
14.2.3 At Brooklyn College

Mathematising and didactising dissection puzzles

Connecting geometry, measurement, estimation, and ratio and proportion through problems involving large numbers

Exploring wholeclass share and discussion formats that maximise opportunities for students to exchange mathematical ideas

Teaching students to use diagrams as tools for solving nonroutine problems

The number line as a tool for solving linear equations

Using geometric contexts to teach algebra.
All of the above show evidence of my students’ creative appropriation of RME ideas.
14.3 Reinventing Algebra Brick by Brick: A Graduate Level Preservice Mathematics Teaching Course
In May of 2008, following a chance meeting at a Spencer reception during the annual meeting of the American Educational Research Association in New York City, Zolkower and Abrahamson began collaborating on an RMEinspired research project, Paradigmatic Didactical–Mathematical Problematic Situations. In this section, we will revisit the construct of these situations, which evolved as our means for importing Zolkower’s RME course from Brooklyn College to University of California Berkeley. We will introduce the ‘Brick pyramid’ problem as well as our graduate students’ work on it to exemplify its mathematical and didactical–mathematical potential.
14.3.1 Paradigmatic Didactical–Mathematical Problematic Situations
The project involved codesigning and evaluating a course in mathematical cognition, learning, and teaching. As we define them, paradigmatic didactical–mathematical problematic situations are activities evoked as contexts for collaborative inquiry into the practices of mathematics, mathematics learning, and mathematics teaching. Our experimental course builds upon and contributes to a body of work on rich problems as contexts for teaching and learning to teach mathematics. Included in this growing domain are: realistic modelling problems (Verschaffel & De Corte, 1997); emergent modelling problems (Gravemeijer, 1999; Van den HeuvelPanhuizen, 2003); problems that yield multiple solutions (Silver, Ghousseini, Gosen, Charamboulous, & Font Strawhun, 2005; Zolkower & Shreyar 2007); modeleliciting tasks (Lesh, Middleton, Caylor, & Gupta, 2008); substantial learning environments (Wittmann, 1995, 2002); openended problems (Cifarelli & Cai, 2005); spiral tasks (Fried & Amit, 2005); and examplegenerating problems (Watson & Mason, 2005).
Our common interest in paradigmatic didactical–mathematical problematic situations sparked from noticing the potential of these activities, which we both had been using independently, sporadically, and anecdotally, to engage classroom practitioners as well as researchersintraining in reflective inquiry into a panoply of cognitive, social, technological, and other aspects of mathematics teaching and learning. Consequently, we designed and implemented a semesterlong course based on guided study and classroom tryouts of paradigmatic didactical–mathematical problematic situations. Our experimental course is entirely organised and driven by them. Paraphrasing Turkle and Papert’s (1991, p. 117) proverbial call to “put logic on tap, not on top,” we place mathematics instruction theories on tap rather than on top. That is, our problematic situations serve as scenarios for the targeted mathematical–didactical ideas to emerge out of participants’ guided engagement in those situations.
Abrahamson first taught the course in the Fall Semester of 2008. Our research consisted of investigating the effect of this course on participants’ mathematical understandings and didacticalmathematical abilities and disposition. Our data included rich documentation from both the college sessions and the fieldplacement classrooms, where student–teachers tried out the same or similar problems (Zolkower & Abrahamson, 2009). Central to the paper is a particular RMEstyle problem, the ‘Brick Pyramid’ problem, which we introduce and discuss below.
14.3.2 The ‘Brick Pyramid’ Problem
This process indicates that the range of possible values for x is 0–6 (see in Fig. 14.3 the expression “6 − x” for the bottomrightmost brick), thereby giving seven solutions with integers. Interestingly enough, the rightmost brick on the second row is the only one where x cancels out, resulting in the constant value of 24, which is a puzzling phenomenon that may merit an investigation of its own. For example, several questions can come up: Why 24? How is this number, 24, related to the four given constraints (280, 75, 31, and 13) and their respective locations on the pyramid?
Four graduate students (all names are pseudonyms) participated in the study: Justin, Emily, and Nora, who are all three in their first year in a master’s programme, and Zoran, who is in his second year in a doctoral programme. Zolkower, the designer of this course, assisted Abrahamson, remotely, in facilitating this course. Occasionally, Zolkower participated through videoconferencing. The focus lesson took place during the fifth week of instruction of a Fall Semester. During the fifth week, course participants were just beginning to become involved in school placement observations and other fieldworkrelated assignments.
14.3.3 Reinventing Algebra by Thinking Aloud Together About the Brick Pyramid and Beyond
 I.
Opening: framing the problem
 II.
Solving the problem: thinking aloud together, scribbling, speaking, diagramming, and gesturing
 III.
Comparing and contrasting approaches and moving forwards to ‘more algebraic’ approaches
 IV.
Reflecting back on the experience as reinventing algebra while moving forwards towards algebraisation of the situation
 V.
Closure: considering the problem as a potential classroom activity while also discussing it from the point of view of instructional design (for this latter part readers are referred to Zolkower & Abrahamson, 2009).
14.3.3.1 Episode II: Solving the Problem
In order to begin familiarizing herself with the problem, Emily inserts a value, 17, which she selects somewhat arbitrarily, into an empty cell in the bottom row {5,2}, and then works that value so as to fill the entire pyramid according to the addition rule. As it turns out, assigning that particular value to that cellvariable is not permissible in this system. Yet, due to an arithmetic error, 45 − 13 = 22, this violation appears to go unnoticed.…What I decided to do was, pick a value, put it somewhere in here [indicates bottom row], build off of that. And I figured I’d pick a value that was under one of these given, permanent numbers. So, I put a number here that’s less than 31. [indicates {5,2}] Any number I wanted. [enters 17 into {5,2}] And I went with 17 because… I don’t know why….
Dor highlights the doubleusing issue, which affects the way one distributes the values throughout the pyramid. Namely, Justin begins to realise that the pyramid can be viewed as a system, rather than a collection of local overlapping threecell triadic structures; because each sum is constituted by addends below it, recursively, there appears to be some overall systematic set of relations governing the distribution of addends. However, Justin does not yet specify the nature of this system of relations.Okay, so, 75 here, 31 here, 13 here, 280 here, oops, right. [enters values as he utters them] And so, <what> I did was, I looked at each box and thought, what are the limits bounding the number in each box? [emphasises boxes with given values] So, I guess I kind of like started up at the top, and I was like, well these have to be 75 or more, [indicates {2,1}, {2,2}] right, and then…. [Nora points to the ‘less than’ constraints in Justin’s approach].
Nora, commenting on Justin’s work, adds that in order to determine the range of values, one would need to find the other limit, too. Dor comments on embodied constructions of addition that, he believes, may be implicitly biasing the solution procedure. First, he suggests a view of addition as ‘adding up,’ for example, a privileging of an upwardadding construction of the problem, at the expense of attending to the equally important downward constraints. Second, he portrays addition as ‘using up resources’—once a value is used in one sum, e.g., in conjunction with the cell to the right, it must be used again for the cell on the left, and this reuse might be violating the grounding multimodal dynamical images that tacitly underlie the sense of addition. Emily responds that, indeed, the sum of the numbers on the bottom row is not equal to the number up top, so that her implicit model of the situation seems to have shifted.
Nora thus explores how—given the repeated use of addends—a sum that is written fairly high in the pyramid could be viewed as constituted by the addends below it. She recognises that the relation is not a direct distribution of the sum into equal parts, but initially she cannot explain just how this distribution works or could be represented to support this inquiry. A significant move forwards in the group’s collective inquiry is when Nora uses algebraic symbols to explain how a numerical value on the bottom ‘ripples’ up (see Fig. 14.7). She distinguishes between values in the centre of the bottom row (a) and those on the extremities (b), in terms of how much they contribute to the upward accumulating sums.So, if we did it in this square [indicates {5,4}], we would end up, maybe we would only have to do, like, a fourth of 72, or something. Because then, by the time it gets up to the top, then you’ll have the full 72 that you want. But then I don’t know if that takes into consideration… I don’t know exactly how this ** but I think <it would fit it> somehow if you did some fraction of 72, then, you know, it’s gonna be multiplied here, there’s gonna be… two of them up here, and then that’ll count as one, and that’ll count as two, so that’s three. [indicates boxes above {5,4}] If we had some number here, then we’d have that number, then twice that number, then three times that number, and then…
…
If we had some number here [enters a into {5,2}], then… [draws next row] okay, well, kind of ignoring the numbers that are already in there, once you go up here, so, well, it’s like what you were saying, we feel like okay, if the a is here, then it’s already taken care of, we don’t need to worry about it again, but actually it’s gonna – you have to count it again in this box and in this box. [enters a into {4,1}, {4,2}] And then, when you come to the next level…
Up to this point, participants have each made unique contributions to the collaborative problemsolving process. One can discern a progression from Emily’s first hesitant exploration of a single solution through Justin’s analysis of the pyramid as an emerging system of constraints to Nora’s introduction of algebraic symbols in an attempt to spell out the spread of upward addend contributions of a single number on the bottom row, depending on whether it is in a central or extreme brick, and how two such ‘deltas’ (the spreading contribution tributaries) mingle in an addend confluence. The instructor’s insistence that the work be done up at the board had two related results. On the one hand, students were initially diffident to share halfbaked ideas. On the other hand, these ideas, like Nora’s a and b addends, appear to have spread and mingled upwards, receiving at each level the input and reformulation of additional minds on tap.
14.3.3.2 Episode III: Comparing and Contrasting
Zoran continues discussing the distribution issue, talking in terms of ‘sets’: “With this we have this set here, and this set here… this set is only going up to 31….” Zoran concludes that it would be unreasonable to attempt the problem “purely arithmetically,” thereby calling for an algebraic approach.
Say you just have your numbers down here: a, b, c, d, e. [enters letters, as she utters them, into the bottom row, in that order] Okay, there’s one of each of those, I’m just saying they’re… distinct, or they could be <one> , I don’t know, um, they’re variables. So, to get here, you do a + b, and this is b + c…
…. this is sort of becoming the, uh, Pascal’s triangle in reverse. And this one would be b + 2c + d. [enters value into {3,2}] This would be c + 2d + e. [enters value into {3,3}] And up here, I need to start making the bricks bigger. And now, we have a + 3b + 3c + d, I think. [enters sum into {2,1}] Someone correct me if I’m wrong. And then b + 3c + 3d + e. [enters sum into {2,2}] And for the last one… Make it a little bigger…! [expands first box borders] Okay. a + 4b + 6c + 4d + e. [enters sum into {1}] And then, <see> you have 1, 4, 6, 4, 1, just like this guy. [Indicates Pascal’s triangle fragment on the board] And this is just like coefficients.
14.3.3.3 Episode IV: Reflecting
As we have shown in the section above, the brick pyramid allows prospective (and inservice) teachers to encounter central issues in the learning and teaching of algebra, including: (1) symbol sense, informal sensemaking, and formal algebra (Arcavi, 1994); (2) the relationship between language proficiency and algebraic learning (MacGregor & Price, 1999); (3) the role of realistic situations in developing algebra tools (Van Reeuwijk, 1995; Van Reeuwijk & Wijers, 1997); (4) the challenges in guiding the transition from informal to formal algebra (Nathan & Koellner, 2007; Stacey & MacGregor, 2000; Swafford & Langrall, 2000); and (5) the complex interplay among algebraic thinking, algebraic generalisation, and algebraic symbolisation (Linchevski, 1995; Radford, 2003, 2006; Van Ameron, 2003; Zazkis & Liljedahl, 2002).So, I picked this box right here. Just because it was touching so many other things, I figured I could get a lot of information out of it. [places x in {4, 2}] So this one is 31+x, and then this is 106+x, and then this is 75−x, and this is, let’s see, x−13, and then….
In what sense is the Brick Pyramid is a paradigmatic problematic situation? In his homage commentary on the life of Hans Freudenthal, Goffree (1993) likens paradigmatic mathematical problems to scientific benchmark discoveries, following which the scientists’ extant paradigm shifts and the world is forever seen in a new way. Participants in our graduate course are mathematically literate adults, according to normative standards, such that the algebraic machinery is quite at their fingertips, ready for application. The question is whether, when, and how this application is triggered. This paradigmatic didactical–mathematical problematic situation presents a scenario that calls for mathematising but does not cue or furnish, in an explicit manner, a specific toolbox, let alone a particular tool. Implicit in this principle is the belief that didactical approaches that deny students the opportunity to search for appropriate tools to structure or organise problematic situations have limited effects in developing in them a genuine disposition towards mathematising. The Brick Pyramid is not just a problemsolving tool. It is also and primarily a thinking device (Lotman, 1988). Lyrically speaking, the brick pyramid—once a curious inscribed structure on a worksheet—becomes colourful, animated, mobilised, and enmeshed in multiple intersecting dimensions of mathematical thinking, thereby functioning as a model for thinking about the very meaning and purpose of algebra as a situated human activity.
One might comment that developing paradigmatic didactical–mathematical problematic situations was little more than reinventing RME. We would proudly concede. Our goal of building a graduatelevel practicum on mathematics education posed for us the problem of designing sets of interconnected vehicles and experiences around them as means for facilitating encounters between prospective mathematics teachers and Freudenthal’s didactical vision. In the course of seeking such architecture, the paradigmatic didactical–mathematical problematic situations emerged in our discourse—first as ‘models of,’ then as our ‘models for’—specifying what we view as opportunities for teachers’ productive engagement in thinking about students’ thinking. Examining the Standards for Mathematics Education (Goffree & Dolk, 1995) published by the Netherlands Institute for Curriculum Development (SLO) and the Freudenthal Institute, we are both heartened to find correlates with our own insights and awed to learn how far we have yet to go. In that volume, eighteen standards are framed as spotlights: “When all eighteen spotlights are ‘on,’ the entire educational process becomes brightly illuminated” (Goffree & Dolk, 1995, p. 11).
Moving forwards, new problems of practice emerged for us. In particular, we were commissioned to develop an undergraduate course for preservice mathematics teachers. The next section describes the Education 130 course (hereafter called EDUC 130)—its constitution and credo as well as a set of didactical heuristics that have evolved as our means of cultivating college cohorts of RME disciples from graduates of the mainstream schooling in the United States.
14.4 An Undergraduate Course for Preservice Mathematics Teachers
University courses are complex cultural phenomena. They are born at the nexus of institutional needs and individual convictions, evolve in negotiation with emerging constraints from multiple and shifting stakeholders, and become blueprints for communities of practice—emblems of departmental ethos and praxis. Semester after semester, courses, like rivers, function as structures and schemes that host and shape the trajectory of their contained water, and in turn are shaped by these waters. Similar to the Heraclitean river, you can never quite step twice into the same course. In this section, we explain the origins and tributaries of the EDUC 130 course, its credo as it appears in the course syllabus, and the didactical heuristics that evolved over time.
The EDUC 130 course Knowing & Learning at UC Berkeley was designed and implemented as part of Cal Teach, a new undergraduate teacher education programme set within the College of Letters & Sciences, aimed at addressing the critical shortage of mathematics and science teachers in California. In creating EDUC 130, faculty members of the Graduate School of Education were attempting to build a new form of community—a haven safe from what we viewed as less productive aspects of mainstream education, a space where preservice mathematics teachers could experience what it might be like to centre classroom instruction around guided collaborative activities of framing and solving rich, accessible, openended problems. We were attempting to forge a new form of identity for preservice mathematics teachers as activist careerists—reflective practitioners, intuitive action researchers, keen observers who keep experimenting with their resources and process. In creating EDUC 130 we were thus asking what it might take to administer a course where such a person could grow who would become our ideal teacher: inquisitive, reflective, and knowledgeable of both subject matter and its didactics.
Regardless of the particularities in one’s image for the ideal teacher, this image becomes the ‘product’ that the course should ‘deliver.’ As such, the process of building EDUC 130 was akin to that of solving a design problem. The question was: What should preservice mathematics teachers’ experience in our course be so that they become our ideal teachers? We therefore created a ‘course credo’ that specifies our views on why and how teachers should become, in addition to educators, also designers, researchers, and ‘hackers’ (fluent in current technological developments). We placed the credo in our course syllabus.
Surely, though, we never expected this credo to effect any change. Such an expectation would defeat the very assertion within the credo itself that hermetic definitions rarely suffice as a form of instruction. We posted the text in our syllabus and let it be. At the time, we had our course resources and a collective, unarticulated professional knowhow for making these resources work in our course. With time, this unarticulated knowhow would become articulated in the form of a set of didactical heuristics, as we now explain. Still, the credo speaks to a vision. What we needed was a means by which to achieve this vision. Enter our ‘didactical heuristics,’ which speak to how we might go about realising the credo.
Didactical heuristics are classroom routines for effective participation in the course as well as in future practice as highschool teachers. These didactical heuristics capture recurring framings, emphases, imagery, and metaphors that we use so as to position and project the preservice mathematics teachers into a new ‘figured world’ of reformoriented teachers (see Ma & SingerGabella, 2011). We view these didactical heuristics as capturing our ‘tricks of the trade,’ design solutions for introducing preservice mathematics teachers to RME.
In developing EDUC 130, we never intended to develop a set of didactical heuristics. Rather, these notions, which instantiate much of the course credo, sprouted into our practice as useful means of explicating our instructional philosophy and methodology, first to ourselves, then to each other, and finally to our colleagues. The didactical heuristics are structures that emerged as our invented means of solving a problem. The set of heuristics constitute EDUC 130’s collective models for solving a problem of practice faced by college instructors, that is, the problem of bootstrapping a community of practice (see Visintainer, Little, & Abrahamson, 2011).
We submit that these didactical heuristics constituted our emergent structures for enabling and enhancing the solving of situated problems of practice. They were our ‘models of’ teaching a RME course for preservice mathematics teachers. They were models that we were hence able to carry forth, document, and propagate as ‘models for,’ just as we are doing in this chapter.
14.5 Reflection: Reinventing Reinvention
The proverbial human capacity to solve problems—a vital skill that is apparently so desirable yet so rare these days that it has been rebranded in the U.S. educational reform discourse as a 21st century skill—has been the vision of Realistic Mathematics Education from its very incipience. Freudenthal makes the following bold statement that connects the teaching of mathematics to youth ethos, mores, identity, and agency in extramathematical realms of life.Mathematics is said to have, for example, disciplinary value in habituating the pupil to accuracy of statement and closeness of reasoning; it has utilitarian value in giving command of the arts of calculation involved in trade and the arts; culture value in its enlargement of the imagination in dealing with the most general relations of things; even religious value in its concept of the infinite and allied ideas. But clearly mathematics does not accomplish such results, because it is endowed with miraculous potencies called values; it has these values if and when it accomplishes these results, and not otherwise. (Dewey, 1944, p. 245)
What a vision! Mathematics education could fulfil the virtuous role of fostering youth independence and empowerment. To make this vision a reality, college instructors must cultivate a generation of preservice mathematics teachers who are prepared to offer highschool students experiences by which they can recognise their own capacity to reason deeply as a means of solving problems. A teacher education course guided by RME principles could thus possibly prepare high school students for life.Our cultural assets are too dangerous to be offered the youth as readymade material. The instruction we provide should create the opportunity for youth to acquire the cultural heritage by their own activity. They should learn that the selfreliance they claim elsewhere extends to their own role in the learning process. (Freudenthal, 1971, p. 415)
We have described the evolution of our EDUC 130 course for preservice mathematics teachers. The course is founded on the idea of preparing preservice mathematics teachers by running them through the same problemsolving experiences their own prospective highschool students will undergo. Once they become teachers, EDUC 130 course participants are then to emulate our classroom practices ‘one step down,’ with them now as instructors and their highschool students solving and reflecting on engaging problems.
Building a course is certainly a form of problem solving. And yet how does one know whether and when the problem has been solved? We cannot quite look up the correct answers at the end of the book! Still, a set of guiding principles may serve as a book of sorts by which to evaluate our progress. It is in this sense that RME has served us as a standard by which to evaluate the course design, its implementation, and its effects. And in so doing we have developed our own set of principles, the didactical heuristics, that evolved as our practical means of apprenticing preservice mathematics teachers into RME. Yet we do not offer these cultural assets as readymade materials. Rather, we steer our college students to reinvent the didactical heuristics through guided reflection on their problemsolving experiences. In a sense, the didactical heuristics constitute the emergent structures we have cultivated through and for our own guided reinvention of RME at Berkeley.
In designing and promoting this course, we are conscious of valuing depth of experiencing over breadth in coverage. When a college course is planned so as to cover an entire methodology textbook, with its complementary readings, it seems rather certain that one would get through the syllabus by the end of the course. However, when mathematical content, didactical subject matter knowledge, and assigned readings are positioned as ancillary to the ‘actual’ learning, one may not be as certain to cover it all (and perhaps, even more troublesome, the course is unlikely to be instructorproof so as to enable standardisation). Yet, as a tradeoff, there is the perceived opportunity that participants would have rich experiences of learning ‘what really matters.’ And what is it that matters, really? Learning to teach mathematics involves reflective backandforth movements between classroom practice and instructional theory; mathematical content and didactical form; observing one’s learning processes and observing those of others (Freudenthal, 1991). Our RMEinspired course materials, activities, credo, and heuristics, in synergic unison with our grounding of collegeclassroom discussions in actual schoolclassroom experiences, engage future teachers and mathematics education researchers in working on and thinking through mathematics problems and mathematics learning and teaching problems and, in so doing, contribute to the allcherished goal of making mathematics meaningful, relevant, and accessible for every student in every classroom.
References
 Abrahamson, D. (2002). When “the same” is the same as different differences: Aliya reconciles her perceptual judgment of proportional equivalence with her additive computation skills. In D. Mewborn, P. Sztajn, E. White, H. Wiegel, R. Bryant, & K. Nooney (Eds.), Proceedings of the Twenty Fourth Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (Vol. 4, pp. 1658–1661). Columbus, OH: Eric Clearinghouse for Science, Mathematics, and Environmental Education.Google Scholar
 Abrahamson, D. (2012). Discovery reconceived: Product before process. For the Learning of Mathematics, 32(1), 8–15.Google Scholar
 Arcavi, A. (1994). Informal sensemaking in formal mathematics. For the Learning of Mathematics, 14(3), 24–35.Google Scholar
 Baddeley, A. D., & Hitch, G. J. L. (1974). Working memory. In G. A. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 8, pp. 47–89). New York, NY: Academic Press.Google Scholar
 Cifarelli, V., & Cai, J. (2005). The evolution of mathematical explorations in openended problem solving situations. Journal of Mathematical Behavior, 24(3), 302–324.CrossRefGoogle Scholar
 Christie, F. (2002). Classroom discourse analysis: A functional perspective. New York, NY: Continuum.Google Scholar
 de Freitas, E., & Zolkower, B. (2009). Using social semiotics to prepare mathematics teachers to teach for social justice. Journal of Mathematics Teacher Education, 12(3), 187–203.CrossRefGoogle Scholar
 Dewey, J. (1944). Democracy and education. New York, NY: The Free Press (Originally published 1916).Google Scholar
 Freudenthal, H. (1971). Geometry between the devil and the deep sea. Educational Studies in Mathematics, 3(3–4), 413–435.CrossRefGoogle Scholar
 Freudenthal, H. (1991). Revisiting Mathematics Education. China lectures. Dordrecht, the Netherlands: Kluwer.Google Scholar
 Fried, M., & Amit, M. (2005). A spiral task as a model for inservice teacher education. Journal of Mathematics Teacher Education, 8(5), 419–436.CrossRefGoogle Scholar
 Goffree, F. (1993). HF: Working on mathematics education. Educational Studies in Mathematics, 25(1–2), 21–49.CrossRefGoogle Scholar
 Goffree, F., & Dolk, M. (1995). Standards for primary mathematics teacher education. Utrecht, the Netherlands: Freudenthal Institute.Google Scholar
 Gravemeijer, K. P. E. (1999). How emergent models may foster the constitution of formal mathematics. Mathematical Thinking and Learning, 1(2), 155–177.CrossRefGoogle Scholar
 Gravemeijer, K., & Terwel, J. (2000). Hans Freudenthal: A mathematician on didactics and curriculum theory. Journal of Curriculum Studies, 32(6), 777–796.CrossRefGoogle Scholar
 Halliday, M. A. K. (1994). An introduction to functional grammar (2nd ed.). London, UK: Arnold.Google Scholar
 Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: M.I.T. Press.Google Scholar
 Lesh, R., Middleton, J. A., Caylor, E., & Gupta, S. (2008). A science need: Designing tasks to engage students in modeling complex data. Educational Studies in Mathematics, 68(2), 113–130.CrossRefGoogle Scholar
 Linchevski, L. (1995). Algebra with numbers and arithmetic with letters: A definition of prealgebra. Journal of Mathematical Behavior, 14(1), 113–120.CrossRefGoogle Scholar
 Lotman, Y. (1988). Text within a text. Soviet Psychology, 24(3), 32–51.CrossRefGoogle Scholar
 Ma, J. Y., & SingerGabella, M. (2011). Learning to teach in the figured world of reform mathematics: Negotiating new models of identity. Journal of Teacher Education, 62(1), 8–22.CrossRefGoogle Scholar
 MacGregor, M., & Price, E. (1999). An exploration of aspects of language proficiency in algebra learning. Journal for Research in Mathematics Education, 30(4), 449–467.CrossRefGoogle Scholar
 Nathan, M. J., & Koellner, K. (2007). A framework for understanding and cultivating the transition from arithmetic to algebraic reasoning. Mathematical Thinking and Learning, 9(3), 179–192.CrossRefGoogle Scholar
 National Center for Research in Mathematical Sciences Education (NCRMSE) & Freudenthal Institute (1997–1998). Mathematics in context: A connected curriculum for grades 5–8. Chicago, IL: Encyclopaedia Britannica Educational Corporation.Google Scholar
 Norman, D. A. (1991). Cognitive artifacts. In J. M. Carroll (Ed.), Designing interaction: Psychology at the humancomputer interface (pp. 17–38). New York, NY: Cambridge University Press.Google Scholar
 O’Halloran, K. L. (2000). Classroom discourse in mathematics: A multisemiotic analysis. Linguistics and Education, 10(3), 359–388.CrossRefGoogle Scholar
 Peirce, C. S. (1931–1958). Collected papers of Charles Sanders Peirce. In C. Hartshorne & P. Weiss (Eds.), Cambridge, MA: Harvard University Press.Google Scholar
 Radford, L. (2003). Gestures, speech, and the sprouting of signs: A semioticcultural approach to students’ types of generalization. Mathematical Thinking and Learning, 5(1), 37–70.CrossRefGoogle Scholar
 Radford, L. (2006). Algebraic thinking and the generalization of patterns: A semiotic perspective. In J. Novotná, H. Moraová, M. Krátká, & N. Stehlíková (Eds.), Proceedings of the 30th Conference of the International Group for the Psychology of Mathematics Education (Vol. 1, pp. 2–21). Prague, Czech Republic: PME.Google Scholar
 Shreyar, S., Zolkower, B., & Pérez, S. (2010). Thinking aloud together: A teacher’s semiotic mediation of a wholeclass conversation about percents. Educational Studies in Mathematics, 73(1), 21–53.CrossRefGoogle Scholar
 Silver, E. A., Ghousseini, H., Gosen, D., Charamboulous, Ch., & Font Strawhun, B. T. (2005). Moving from rhetoric to praxis: Issues faced by teachers in having students consider multiple solutions for problems in the mathematics classroom. Journal of Mathematical Behavior, 24(3–4), 287–301.CrossRefGoogle Scholar
 Stacey, K., & MacGregor, M. (2000). Learning the algebraic method of solving problems. Journal of Mathematical Behavior, 18(2), 149–167.CrossRefGoogle Scholar
 Swafford, J. O., & Langrall, C. W. (2000). Grade 6 students’ preinstructional use of equations to describe and represent problem situations. Educational Studies in Mathematics, 31, 89–112.Google Scholar
 Turkle, S., & Papert, S. (1991). Epistemological pluralism and the revaluation of the concrete. In I. Harel & S. Papert (Eds.), Constructionism (pp. 161–192). Norwood, NJ: Ablex Publishing.Google Scholar
 Van Ameron, B. (2003). Focusing on informal strategies when linking arithmetic to early algebra. Educational Studies in Mathematics, 54(1), 63–75.CrossRefGoogle Scholar
 Van den Brink, J., & Streefland, L. (1979). Young children (6–8): Ratio and proportion. Educational Studies in Mathematics, 10(4), 403–420.CrossRefGoogle Scholar
 Van den HeuvelPanhuizen, M. (1996). Assessment and Realistic Mathematics Education. Utrecht, the Netherlands: CDß Press/Freudenthal Institute, Utrecht University.Google Scholar
 Van den HeuvelPanhuizen, M. H. A. M. (2003). The didactical use of models in realistic mathematics education: An example from a longitudinal trajectory on percentage. Educational Studies in Mathematics, 54(1), 9–35.CrossRefGoogle Scholar
 Van Reeuwijk, M. (1995). The role of realistic situations in developing tools for solving systems of equations. Utrecht, the Netherlands: Freudenthal Institute, Utrecht University.Google Scholar
 Van Reeuwijk, M., & Wijers, M. (1997). Students’ construction of formulas in context. Mathematics Teacher in the Middle School, 2(4), 230–236.Google Scholar
 Verschaffel, L., & de Corte, E. (1997). Teaching realistic mathematical modeling in the elementary school: A teaching experiment with fifth graders. Journal for Research in Mathematics Education, 28(5), 577–601.CrossRefGoogle Scholar
 Visintainer, T., Little, A., & Abrahamson, D. (2011). Pedagogical heuristics for teacher preparation: Reflections from Cal Teach. Paper presented at the annual UTeach Institute/NIMSI conference, Austin, TX, May 24–26.Google Scholar
 Watson, A., & Mason, J. (2005). Mathematics as a constructive activity. Learners generating examples. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
 Wittmann, E. (1995). Mathematics education as a ‘design science’. Educational Studies in Mathematics, 29(4), 355–374.CrossRefGoogle Scholar
 Wittmann, E. (2002). Developing mathematics education in a systemic process. Educational Studies in Mathematics, 48(1), 1–20.CrossRefGoogle Scholar
 Zazkis, R., & Liljedahl, P. (2002). Generalization of patterns: The tension between algebraic thinking and algebraic notation. Educational Studies in Mathematics, 49(3), 379–402.CrossRefGoogle Scholar
 Zolkower, B., & Abrahamson, D. (2009). Studying paradigmatic didacticalmathematical situations: Design and implementation of an experimental graduate level course for preservice mathematics teachers and doctoral students. Paper presented at the Annual Meeting of the American Educational Research Association, San Diego, April 13–17.Google Scholar
 Zolkower, B., & de Freitas, E. (2010). What’s in a text: Engaging mathematics teachers in the study of wholeclass conversations. In U. Gellert, E. Jablonka, & C. Morgan (Eds.), Proceedings of the 6th Mathematics Education and Society Conference (MES) (Vol. II, pp. 508–518). Berlin, Germany: Freie Universität Berlin.Google Scholar
 Zolkower, B., & de Freitas, E. (2012). Mathematical meaningmaking in whole class conversation: Functionalgrammatical analysis of a paradigmatic text. Language and Dialogue, 2(1), 60–79.CrossRefGoogle Scholar
 Zolkower, B., & Shreyar, S. (2007). A teacher’s mediation of a thinking aloud discussion in a 6th grade mathematics classroom. Educational Studies in Mathematics, 65(2), 177–202.CrossRefGoogle Scholar
 Zolkower, B., Shreyar, S., & Pérez, S. (2015). Teacher guidance of algebraic formula building: Functionalgrammatical analysis of a wholeclass conversation. ZDM Mathematics Education, 73(1), 21–53.Google Scholar
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