Showing posts with label curriculum. Show all posts
Showing posts with label curriculum. Show all posts

Coherence Gap Spreadsheet

I'm overdue in getting this out into the wider world, but I've developed a spreadsheet that incorporates all the coherence connections found in the Coherence Map and adds to that instructional time data about how many lessons and hours a math curriculum spends on each standard. Yeah, it's a lot. But as I talked to math teachers and leaders at the end of last spring, I felt there were a lack of tools available that incorporated both coherence and instructional time, and my solution was a big Excel workbook with lots and lots of rows of lesson data, some long VLOOKUP formulas, and some conditional formatting to make the results readable. If you geek out over spreadsheets and math curriculum planning, I think you'll like it.

The lesson data comes from EngageNY for K-5 and Illustrative Mathematics for Grades 6 through Algebra 2. I didn't have any special preference for one set of curriculum materials over any other (and neither does the State of Colorado), but both of these are open educational resources with lesson alignments and time estimates, so I used them. You can substitute time data in for whatever materials you'd like, but be warned that you're looking at 3500+ rows of data, so either bring a team of people with you or learn to write some code that scrapes data from publishers' websites and formats it for you. (I chose the latter.)

With the help of a pivot table and some lookup functions, what this spreadsheet allows you to do is indicate some percentage of coverage you thought each standard has gotten (if making sense of past curriculum decisions) or will get (if planning for future curriculum decisions). In return, the spreadsheet reports back to you how much instruction for each standard is left unfinished, and how much future instruction (following arrows in the Coherence Map) might be at risk. Just be mindful that the spreadsheet is like a lot of models—wrong, but possibly useful. The instructional time estimates might be flawed, not everything aligns as neatly as I'd like, the data may not really reflect your materials or pacing, and the crude way the coverage formulas work might just be wrong. So if it gives you some data that you just know is flawed, then maybe it is. But if you're patient with it, and you aren't afraid to look beyond the conditional formatting color scheme and dig more deeply into why instructional time is allocated where it is, then I think this spreadsheet can give you something to work with as you make decisions about your curriculum planning.

This was one of my on-the-job projects as math specialist for the Colorado Department of Education, so CDE is hosting the spreadsheet itself. Head on over to the Coherence Gap Spreadsheet page to download the latest version of the file. I also urge you to watch the tutorial video, which I'll also embed here. I kept it as short as I could at 12 minutes, and if you're already familiar with the Coherence Map you can skip the first 2:00.

If you have any questions about the spreadsheet, please let me know. And if you modify the spreadsheet to make it better or more inclusive of more curriculum materials, I'd really like to know about that, too.

Feeling around in the dark to understand the elephant of local control

The view from my new office.
Educationally, Colorado is a "local control" state, and I know this because I've heard many people say it. I once read something that said "there are only six local control states," and I assumed Colorado was one of them. (I also assume many more than six states would claim to belong on the list.) The document did not list the states or describe the difference between local and not-quite-local. But by all other accounts I've seen and heard, Colorado is a local control state.

Today was my first day in my new job at the Colorado Department of Education, and at almost every turn I was reminded of Colorado's status as a local control state. Before I go further, let me be clear: I see many positives in local control and generally favor it. I appreciate that historically and politically we've entrusted our schools to the communities they serve, and I cherish my rural school experiences where the tight bonds between the school and the community generate a special sense of pride and responsibility.

Local control is not to be confused with insular, however. I've never known a school district where teachers and district officials didn't seek resources and guidance from outside their boundaries. In my new job, I'm now one of those outsiders who can offer some of those resources and guidance. But as an employee of the state, I have to be rather careful about the resources and guidance I give, lest anyone be confused about whether control lies with the state or with the school district.

It's a bit awkward, as you might expect. And it's becoming apparent to me how local control influences the things a CDE employee decides they can and cannot say is, well, a little arbitrary. Maybe arbitrary isn't the right description, but rather there's some socio-normative set of unwritten rules guiding all this that aren't 100% logical. For example, we believe local districts have the power to make curriculum decisions, not the state. But what does that mean? For me, I know without a doubt this means I have no power as a state employee to require that a district, school, or teacher use a particular set of textbooks. Okay, that's clear to me, but can I recommend a textbook, while plainly stating that textbook choices are not the state's decision? Again, this is something we expressly avoid at CDE because we don't want to give districts the impression that they're not in control of their curriculum. Let's make this even fuzzier: If someone asks me what textbooks I've personally used and why I chose to use them, can I answer? I certainly hope so, as I'd feel silly not answering the question. But with my answer, I have to be cautious that what I say is not construed as some kind of state endorsement of a particular textbook. Why? Local control, that's why.

Yet, there are numerous areas where we, the citizens of Colorado and our elected representatives, have decided the state should have control. The state dictates sets of academic standards, which are accompanied by all sorts of supporting documents. The state also requires the administration of assessments that measure student performance towards those standards, and by law the results of those assessments are used to hold local educators accountable. Whether I approve or disapprove of these things is irrelevant in the current discussion, because I only name them to illustrate how the state has control over things that might not be textbooks or curriculum, yet have undeniable influence over local educators' choice of curriculum and related materials. We still claim to have a system of local control, but it shows that local vs. state control of schools is beyond a simple binary classification.

I'm reminded of a pair of sessions I attended at the Realistic Mathematics Education Conference in 2013. The first was from several people from CDE, who presented a series of standards implementation materials they developed in cooperation with local educators. The second presentation came from national curriculum developers from The Netherlands, who showed their new integrated STEM curriculum materials. Both groups sincerely wanted high-quality educational experiences for students, but CDE illustrated the more traditionally American approach of building out documents and tools to support local decision-makers, instead of developing student-facing curriculum materials, as seen in The Netherlands. Dutch schools are not required to use materials developed by their national curriculum office, so you can say there's still an element of local control there. But at a national/state level they do experience a broader set of options for what they produce for schools, and these options are supported by a different political and cultural climate than we generally find in the United States.

Without belaboring the issue much further, I hope by now you get a little sense of the tension I'm feeling in my new position. I'm grappling with my new role and how my actions and words will be shaped by issues of local control, this elephant in the dark room that I felt my hands on all day. A lot of "what-ifs" came to mind, and some of them yield unsatisfactory possibilities. I'm frustrated by thoughts of continually almost doing curriculum work, and I don't think anyone wants to produce supplementary documentation just for the sake of producing it. With what I currently see offered for mathematics from CDE, there's a lot of value in the details, but it's a pretty overwhelming mass of stuff at first (and second) glance. That's not going to change overnight, but for me, after Day 1 on the job, I think the best thing I can do is think openly about this and to explore the boundaries of what is reasonable and possible. Ultimately, I serve the teachers and educators of Colorado, and for now, I can be honest about the thought I put into these things, even if I don't anticipate easy answers anytime soon.

A Madness to Our Methods

How do I learn to teach people to use this stuff?
When I was an undergraduate majoring in mathematics teaching, I got quite a bit of practice teaching, studying curriculum, writing lessons, and other things I'd be expected to do as a teacher. But now, as a PhD candidate in mathematics education, I'm not getting similar training to become a teacher educator. I've done a little teaching of introductory classes for math and science preservice teachers, but that's about it, and I don't think my experience here at CU-Boulder is an exception. Here and elsewhere, how you teach undergrads is still largely something you're supposed to figure out on your own.

It may not be long before I have a job that involves me teaching "methods" courses. I look forward to that opportunity, but dread the feeling that I'd be creating such courses essentially from scratch. It's happened to a few colleagues of mine, and it seems a bit silly that we folks in curriculum and instruction don't have more organization and purposeful, shared design in our curriculum and instruction for preservice teacher methods courses.

Here at CU-Boulder we have a math and science seminar that meets about every three weeks and the topics of the seminar change year to year. This year, pushed by myself and a few others, some of us (including @jybuell) are studying the design of methods courses in math and science. As a first step, we're looking at what others are doing elsewhere, and here's where I'd like some help. Do you have a syllabus or story to share about methods classes you've taught or taken? If you send those my way (to raymond@mathed.net) or comment about them in the comments, I'll continue to write about what I find and learn as the year progresses, and hope to have methods course lesson plans and scope and sequence documents to share by the end of the year.

On Major Problems and Grand Challenges, Part 2

Prompted by NCTM's call for "grand challenges," in my last post I looked back at Hans Freudenthal's 1981 "Major Problems" paper. We've made progress in the past 30+ years, and we should recognize that. But that doesn't mean other challenges don't await us, and in this post I'll look at some suggestions made by some fellow bloggers. If this looks like "armchair challenging" it's probably because it is, rambling commentary and all.

Before I continue, it's worth noting that all four bloggers I found writing on this topic are white males. (And I am, too.) If this doesn't bring to mind a grand challenge for the future of math education, I don't know what should.

Robert Talbert: Grand Challenges for Mathematics Education

Robert's first suggestion is to develop an open curriculum for high school and early college. Sure, we've had many curriculum projects, but I can't say I've seen many that try to seamlessly span high school and college. It makes me realize that textbook companies typically package things in ways that align with the jurisdictions of district decision-makers, but there's really no reason it has to be that way.

We currently have some open curriculum projects that might give us a start on this challenge, such as the Mathematics Vision Project out of Utah and the EngageNY materials from New York. I say "give us a start" for two reasons: neither set of materials are very mature (and thus quality can be suspect) and such a project should plan for the evolution and improvement of the materials over time.

Side story: I was having dinner this summer with a retired mathematics education professor and she was telling me about her experiences volunteering to help tutor kids at a local high school. Our conversation went like this:

Her: "I didn't recognize the materials they were using, but they're a mess. It's something they found online and I don't know who put it together, but it looks like different people wrote adjacent lessons and never talked to each other, because there were big jumps from one topic to another with no explanation."

Me: "Let me guess. Are the materials from New York?"

Her: "No, Utah."

Me: "That was my second guess. And your guess about different people writing different lessons without much coordination is a very good guess of what probably happened."

Robert's second and third challenges involve the creation and use of concept inventories for mathematics, like the force concept inventory (FCI) for physics. I hear this get discussed occasionally and I'm aware of some efforts for inventories in calculus and statistics, but they aren't nearly as well recognized or used as the FCI. What's the advantage of having these inventories? They tend to make for great pre-post tests for a course or to judge if a particular teaching approach is better for students' conceptual understanding. Last week I attended a talk by Stephen Pollock who talked about his work in physics education research and the improved results we're getting in CU's physics program. The FCI played a key role in that progress, as it allowed professors to self-monitor their courses and compare their results to others who were attempting to improve their teaching. These kinds of standardized assessment tools could be equally useful and powerful in mathematics departments, especially when used in a self-monitoring sort of way instead of the all-too-common external-and-top-down-accountability-enforcing sort of way.

Robert's last recommendation is to have a preprint server for math education research. As he notes, this is a road we've tried to go down before and we didn't get very far. I don't think the problem has nearly as much to do with policy or categories of the arXiv as it does with the lack of a "preprint culture" in mathematics education. What I learned in those previous preprint discussions, and in my observations as a developing scholar, is that math educators regularly and happily share work in progress — with a select group of people. In math ed, there doesn't seem to be widespread faith in anything like Linus' Law, the open source software dictum that says, "With enough eyeballs, all bugs are shallow." I think the math wars led to a lot of distrust, and some of it is very rational. It's safer to only share preliminary work with a few scholars who share similar methods and theoretical frameworks, and then refine the work after peer review before publication in a journal whose readership is likely to understand the work. Maybe it shouldn't be this way, but to move forward we're going to have to confront some of these beliefs.

Patrick Honner: My Grand Challenge for Mathematics Education

Patrick described in some detail a single grand challenge: "Build and maintain a free, comprehensive, modular, and adaptable repository of learning materials for all secondary mathematics content." It's worth reading his post and the comments. This challenge hits close to home for me because it touches on my own research, including the difficulty of coordinating distributed curriculum development and the infrastructure needed to support the customization of curriculum.

I've always been intrigued by the concept of "modular and adaptable" curriculum materials. Personally, I thought I did my best work as a teacher when I offloaded my curriclum to a high-quality textbook that I'd been trained to use. That's an anathema to many math teachers who take improvisation of curriculum to be a sign of quality teaching. (It's not, by the way. There can be good and bad improvisation, just as there can be good and bad offloading.) I tried writing my own curriculum for a while and found it exhausting and ineffective. In a couple hours per day, I just couldn't create from scratch anything that I thought was as good as the texts coming from university-based curriculum teams with decades of experience and millions of dollars of funding. Go figure. I got better results when I leveraged the rigor and coherence of a text that integrated topics, contexts, tools, and routines across its lessons and units.

With enough effort, however, Patrick's recommendation could lead to a set of materials that are both modular and coherent. I've always seen these in opposition, a sort of "textbook paradox." I speculate that teachers who value being able to adapt and improvise with their curriculum will resist or find ineffective those textbooks built around coherence. It's relatively straightforward to replace a lesson in a very traditional textbook that relies on an isolated set of examples and practice problems. But for reform-based materials, such as IMP, CPM, and Everyday Math, skipping around in the textbook can lead to trouble. Saxon texts, for that matter, with their use of "incremental development," should make a teacher think twice before skipping or improvising a lesson. Thus, the paradox: teachers who want to improve the quality of their curriculum materials probably have an easier time adapting materials that are lower quality to begin with, but if they start with higher-quality materials, adaptation can sacrifice coherence and make adaptation more difficult.

Adaptation can still be done with any curriculum, but it takes skill. Currently, that skill must come almost entirely from the teacher, as the texts aren't smart enough to know what you've been skipping. Take Patrick's challenge far enough, however, and maybe we could have a curriculum that is smart enough to know what you've used and not used. Imagine a statistics curriculum that automatically modifies tasks to use a preferred data set, or a system that reminds you that you should probably include a lesson and practice with mean absolute deviation prior to teaching standard deviation. Or, for algebra, imagine a system that let you decide whether to teach exponential functions before or after quadratics, with the curriculum being smart enough to recommend appropriate modeling tasks. When I helped a school pilot Accelerated Math in 1999 and used the exprience as my student teaching action research project, I really thought we were on the cusp of a wave of "smart curriclum" that would help build coherence into teacher-adapted curriculum. We're not there yet, but a challenge like the one Patrick describes could get us much closer.

David Wees: Grand Challenge for NCTM

David's grand challenges focuses more on people than materials: "Develop a comprehensive, national professional development model that supports the high quality mathematics instruction they have been promoting for many years." ("They" refers to NCTM.) David breaks this challenge into bullet points around the development and scaling of "core practices."

I'm a firm believer in this idea. I get resistance from those who love the creative and spontaneous aspects of teaching, but I think that learning to teach should involve the learning and practicing of key teaching practices. Thankfully, there are some very good people working in this area. Until recently, their efforts were somewhat scattered and referred to with such names as "high-leverage practices" or "ambitious teaching." Thankfully, at AERA this past spring, many of the heavy hitters doing this work came together to address the need for a common language around these practices and supporting their development and use. For a good idea of what a list of core practices might look like, check out the Teaching Works project from the University of Michigan. I have a hard time finding anything on that list that doesn't seem essential to quality teaching, and it reminds me that the list is really the easy part. The real work comes in developing those practices in preservice and inservice teachers, and I'm glad that David had his mind on that development when he articulated his grand challenge.

Bryan Meyer:

Bryan's challenge isn't math-specific but it could help a lot of math teachers. Our expectations for teacher collaboration exceed our opportunities, and changing this involves a lot of people and resources. In some countries there are limits to how many student contact hours a teacher can have because they are expected to be collaborating with or observing other teachers for several hours each day. What if we did that in the United States? We'd have to seriously rethink our resources. Suppose you currently teach six periods a day with about 24 students in each class. What if you only taught four periods with 36 students in each class, and you had the extra two periods to work with other teachers to ensure your instruction in those four periods was better? (For those of you who already have 36 students in your classes and are working out even larger classes in your heads, I'm sorry.) Or, instead of changing class sizes, what if salaries were lowered to accommodate the hiring of extra teachers?

While these questions suggest difficult choices, they do seem like questions that could be answered with adequate research, and maybe there exists some research already that could help us answer them. Still, research in education isn't always very effective at changing school cultures or how resources are allocated. I don't want to sound too pessimistic, but I'm thinking that Bryan's challenge is going to have to focus as much on understanding and developing cultures of collaboration amongst teachers as it would scheduling and resource allocations.

Parting Thoughts

While it may have been personally beneficial for me to put a couple thousand words into a grand challenge I thought about on my own, I realize that our best hopes for meeting a grand challenge come when we share and push each other's ideas. As a student of curriculum and instruction, I find much to like in Robert and Patrick's thoughts about curriculum and David and Bryan's thoughts about instruction. There's some really meaty stuff there.

I've also tried to think about what wasn't mentioned as a challenge. Nobody said, "I really think we need to better understand how students think about ratio/functions/number/proof/etc." While people are hard at work on such questions, I don't think there's any widespread perception that a lack of research in specific areas of student mathematical understanding is what is holding us back. (If there's a challenge I should be writing about, it's about the dissemination and use of this information.) I'm also happy to see that people weren't writing challenges involving new sets of academic standards. It's rather unfortunate that so much energy is being put into debating Common Core when it seems quite likely that standards account for little of the variability in student outcomes. We have a list of stuff we want students to learn. Fine. I'm ready to focus more of our efforts on the learning, not the list.

Lastly, to touch briefly on the challenge I hinted at near the top of this post, I didn't see any equity-focused grand challenges. I think I speak for Robert, Patrick, David, and Bryan when I say we all believe in achieving equitable participation and outcomes in mathematics education. Then again, we can't just say that and expect equity to come about by accident. There are elements of each challenge mentioned that could be used to promote equity, but it's going to take a more explicit focus than we've given it. In fact, maybe the first step is to significantly change the representation implied when I say "we." It seems simple enough, but privilege has a way of producing thoughts of "for" and "to" instead of "with," and that's a challenge for the kinds of people and organizations who pose challenges.

Results from the SRI Study of Khan Academy

SRI released their two-year, Gates-funded study of Khan Academy and I've read through their research brief. Regardless of what I summarize here, you should read it, too. It's an easy read and it will help you understand the limitations of the study and prevent unnecessary conclusion-jumping.

Here's what I'm taking away from the research brief:

Methodology: Researchers selected 20 schools and 70+ teachers across nine sites for this study, choosing a range of school types from a pool of volunteers. One public elementary school accounted for 8 of the schools, 50 of the teachers, and about half of the 2000 students that participated each year. The participants had "tight relationships" (p. 2) with Khan Academy, and feedback from the schools led to modifications in the program. Other than one site in one year, the participants in the study did not use Khan Academy as their primary curriculum, and the use of Khan Academy varied across settings and over time. This study isn't designed to establish causal claims, so we shouldn't make any. But that's okay — we can still learn a lot from education research that can't determine cause and effect. I see this as an efficacy study, not an effectiveness study (Sloane, 2008). Researchers do efficacy studies to judge if a program might be doing any good under idealized conditions. If an efficacy study suggests a program has value, then we can move to an effectiveness study with a more rigorous design to see if the program "works" in real-world conditions. (Unfortunately, this kind of organization and the funding to support it is not the norm.)

Favorable Findings: Khan Academy was generally well-liked by both students and teachers. Student engagement seemed high and teachers liked the modular nature of the materials, which made it easy to use as a supplement for the regular curriculum. At two research sites, increased time spent on Khan Academy was associated with better-than-expected test scores, decreased math anxiety, and increased confidence in math ability. Again, don't jump to conclusions — this represents just some of the students and the methods weren't rigorous. Increased time on something leading to improvement isn't all that surprising, and we should want to see further study.

Unfavorable Findings: Although teachers who used them thought they were somewhat to very useful, about 40% of teachers didn't refer to Khan Academy's student progress data more than once a month. Seventy percent of teachers who rarely or never used Khan Academy data preferred to use their own observations and assessments to judge student performance. Teachers also experienced difficulty finding content that was appropriately aligned. The study says Khan Academy responded to these things and made improvements. That's a good thing.

There is a lot more to see in the research brief, and even more in the implementation report. Browsing the latter, I see some interesting things, such as:

  • Of the 14 schools participating in both years of the study, 11 appeared to significantly decrease Khan Academy usage in the second year. Researchers found this was likely due to less direct support from Khan Academy in year two and shifting goals and priorities (pp. 23-24).
  • Students in the study aren't watching many Khan Academy videos (pp. 26-27).

I'm sure there's a great deal more there, and I encourage you to note anything you find in the comments.

You can still count me among Khan Academy skeptics — while I don't doubt there are some positive outcomes, I'm not sure Khan Academy fits into our best visions for teaching and learning mathematics, something I've written about on several occasions. For me, it's not all that helpful to know a program "works" unless I have a way to judge how well it "works" compared to other options, and in this case there's a lot of research yet to be done to find those answers. Unfortunately, I'm not expecting more big Khan Academy research any time soon. It took longer than expected for this study to be released and I started to wonder if it would be released at all. Given the study's limitations and use of only a subset of the data to make positive associations to outcomes I question if Gates or any other funder is ready to pony up the funding for a more rigorous study. That's too bad, because Khan Academy isn't going away and there are going to be more questions about how schools should use it, if we can be sure it's worth using at all.

References

Murphy, R., Gallagher, L., Krumm, A ., Mislevy, J., & Hafter, A. (2014). Research on the Use of Khan Academy in Schools. Menlo Park, CA: SRI Education.

Sloane, F. C. (2008). Randomized trials in mathematics education: Recalibrating the proposed high watermark. Educational Researcher, 37(9), 624–630. doi:10.3102/0013189X08328879

RYSK: Cobb, Zhao, & Visnovska's Learning From and Adapting the Theory of Realistic Mathematics Education (2008)

This is the 21st in a series describing "Research You Should Know" (RYSK).

It's Open Access Week (#OAweek) so I thought it would be fitting to use this "research you should know" post to highlight one of my favorite open access articles in mathematics education, Learning From and Adapting the Theory of Realistic Mathematics Education by Paul Cobb, Qing Zhao, and Jana Visnovska. Because the article is open access, I get to be less interested in summarizing it and more interested in giving you a reason to read it.

Realistic Mathematics Education (RME) is a theory for the design and development of mathematics curriculum. It is still deeply rooted in the Netherlands, where Hans Freudenthal greatly influenced mathematics instruction there with his belief that mathematics was a human activity, and that activity was characterized by mathematizing the real or readily imagined world. ("Realistic" comes from the Dutch phrase "zich realiseren," which in English means "to imagine.") This mathematization can be thought of in two ways, horizontal and vertical: "horizontal mathematization involves going from the world of life into the world of symbols, while vertical mathematization means moving within the world of symbols" (Freudenthal, 1991). Hans Freudenthal died in 1990 but his work continues, primarily at the Freudenthal Institute for Science and Mathematics Education at the University of Utrecht in the Netherlands.

There have been four primary avenues where RME has established itself in the United States. The first is with the middle school curriculum series Mathematics in Context, which grew from a partnership between mathematics education researchers at the University of Wisconsin (primarily Thomas Romberg) and researchers at the Freudenthal Institute. The second is the K-8-focused work of Mathematics in the City, which primarily brought together Cathy Fosnot from the City College of New York and Maarten Dolk of the Freudenthal Institute. The pair also wrote most of the Young Mathematicians at Work book series. The third place where RME is established in the U.S. is here at CU-Boulder, home of Freudenthal Institute US and its director, David Webb. David worked on the Mathematics in Context project at Wisconsin, and brought FI-US with him to CU-Boulder. The fourth place I recognize RME having a significant influence in the United States is in the work of Paul Cobb, particularly in his long research partnership with Koeno Gravemeijer, a researcher from the Freudenthal Institute. Cobb and Gravemeijer spent more than a decade working and publishing together, and that work did a lot to strengthen ties between RME as a design theory and theories in the learning sciences.

Like any idea or theory, RME has limitations. Over its 40+ years of existence it's proven to not be a static thing (van den Heuvel-Panhuizen, 2002), and this article by Cobb, Zhao, & Visnovska describes some of the important ways their work has both informed and been influenced by RME. They describe three adaptations: the first involves accounting for classroom activity and discourse in RME, the second acknowledges the mediating role of the teacher in making curriculum modifications and adaptations, and the third looks at how RME can focus on teacher learning, not just student learning. For details, I'll let you read the article for yourself at http://educationdidactique.revues.org/276. If you have any questions about the article or RME, leave a comment, find me on social media, or email me. We RME folks want to spread the word!

References

Freudenthal, H. (1991). Revisiting Mathematics Education: China Lectures. Dordrecht: Kluwer.

van den Heuvel-Panhuizen, M. (2002). Realistic Mathematics Education as work in progress. In F. L. Lin (Ed.), Common Sense in Mathematics Education: Proceedings of 2001 The Netherlands and Taiwan Conference on Mathematics Education (pp. 1–39). Taipei, Taiwan.

RME4: Webb's Opening Remarks

Opening Session - Friday, September 27, 2013

David Webb - Executive Director of Freudenthal Institute US and Associate Professor of Mathematics Education, University of Colorado Boulder

David Webb
David Webb welcomed us to the 4th International Realistic Mathematics Education Conference (#RME4) by addressing a shift in organizational structures. What used to be simply the Freudenthal Institute in the Netherlands is now the Freudenthal Institute for Science and Mathematics Education, and its American counterpart, Freudenthal Institute US, is now part of a larger CU-Boulder effort known as the Center for STEM Learning. These shifts reflect a desire to not just have cooperation between mathematics and science disciplines, but a perceived need to create innovative new STEM curricula along with the supporting frameworks, teacher education, and professional development to support it. Webb announced that earlier in the week that FISME and the Center for STEM Learning had formally agreed to collaborate, although we'll have to wait and see how this collaboration takes shape.

At its core, RME is a set of principles for curriculum design. It is sensible, then, to seek common ground in mathematics and the sciences for ideas upon which we can design curriculum. Some of that common ground is found in how we reason in math and science, and Webb offered these four activities:

  • Recognition of patterns
  • Making conjectures from observation
  • Reasoning from evidence
  • Generating new evidence

From these, we can think about how we consider the acts of modeling, problem solving, generalizing, and proving in both math and science. There are similarities and differences, and these things are meant as a starting point, not a definitive list. Perhaps the most fundamental RME principle is that of progressive formalization (see here for an example), so we must also think about how informal contexts can be used in both math and science, as well as the preformal models and representations that support more formal kinds of student thinking. Webb encouraged us to consider these RME traditions as we stretched ourselves beyond our usual disciplines, and with that the conference was underway.

Teaching Statistics: Textbook Considerations

I have the pleasure of teaching an undergraduate basic statistics class this fall for the third consecutive year. It's not a class I had any specific preparation to teach, but I've tried to make up for that by becoming familiar with some of the statistics education literature, bolstering my content knowledge (although I doubt it will ever be as wide or deep as I'd like), getting access to good resources, and being mindful of the needs of my students.

First, it would help to know a little bit about the course. Most strikingly, the class only meets once a week on a Thursday from 4:30 to 7. If you're used to teaching 180-day school years, you really have to wrap your head quickly around the idea that you're only going to see these students 15 times before finals. Also, despite the class being taught in the School of Education, it's not required of any education students. Instead, the class consists mostly of students from two majors: Sociology and Speech, Language, and Hearing Sciences. Honestly, most of them admit to avoiding math classes, but they usually need the stats class to apply for graduate school. As for the content of the course, here is how it is described in the university catalog:

Introduces descriptive statistics including graphic presentation of data, measures of central tendency and variability, correlation and prediction, and basic inferential statistics, including the t-test.

And that's it. As someone who works almost daily with the Common Core State Standards, building a course around such a sparse description would be quite a challenge, especially for a first-time instructor. When I talked to Derek Briggs about teaching the course, he advised that I use his preferred text, Statistics by Freedman, Pisani, and Purves. I'd recently used Agresti and Finlay's Statistical Methods for the Social Sciences for my qualitative methods courses, and while that book suited me pretty well, I was open to something different so I ordered the Freedman text for my class.

In hindsight, the Freedman text was fine, and the Agresti text would have been fine, too. Both were decently well-written and had plenty of problems to assign, but that's the thing — I was looking for a text that offered considerably more than explanations followed by problem sets. I really wanted something that supported students working together in groups during class, making sense of the material as we went along.

One book that had gotten my attention was Workshop Statistics: Discovery with Data by Rossman and Chance. I recognized Beth Chance's name immediately from some of the stats education literature I'd read, and felt good that this text would offer what I was looking for. I used the text last year and was not disappointed, and will be using it again this year. Below is a summary of some of the reasons I like Workshop Statistics.

Context Continuity

In the front matter of the book, Workshop Statistics contains a list of activities by application — in other words, they've categorized all the problems by context and indexed exactly where those contexts get used. The list of related problems appears again with each problem in the text (inset in picture above), so it's easy for me or my students to refer back or forward to where that context appears. I believe in teaching mathematics rooted in context when possible, so I found this an especially helpful way of finding problems that might be relevant or interesting to the students in my class.

Preliminaries

Every topic (lesson) in the text opens with some preliminary questions. Some involve data collection, which is great, but at the very least it gives students an opportunity to consider a question and how we might answer it. If Dan Meyer has made anything clear, it's that we shouldn't teach math as finding answers to questions that nobody has bothered to ask.

In Brief

The end-of-topic summary certainly isn't unique to this text, but the "You should be able to" statements are very handy for writing objectives for standards-based grading. (I hope to write about my SBG approach in a future post.)

Online Supports and Simulations

Besides both online instructor and student resources, the text uses a number of custom applets that often really help illustrate some of the concepts in the course. Some are Java, but a number have been converted to JavaScript for use on more platforms. I've avoided having students use software beyond a spreadsheet, and some of these applets have saved us from having to purchase SPSS (expensive!) or trying to use R (steep learning curve!).

Activities

The in-class activities use some interesting contexts and support groups working together. If anything they can be a bit over-scaffolded, but that relieves me from having to lecture much and I can spend most of my time going group-to-group in the classroom and dealing with questions more intimately.

Overall

There are a number of smaller things that I'm fine with, although they aren't deal-makers or deal-breakers. The pacing of the text is good — if we cover about two topics a week, we finish the text and pretty much everything one would expect in a basic statistics course. The order of the topics is sensible, too. Typically, it makes sense to put descriptive statistics before inferential statistics, and to work from one-variable stats to two-variable stats. This book is no different. Some texts put linear regression earlier, and where probability should land in a book seems to be negotiable. The placement of those topics in this book is fine for this course and the progression from topic to topic was very manageable.

Other than my first day activity, I haven't written much about teaching stats, but look for me to change that this semester.

RYSK: Dewey's The Child and the Curriculum (1902)

This is the 20th in a series describing "Research You Should Know" (RYSK).

In my last RYSK post, I joined some other math teachers in discussing Richard Skemp's Relational Understanding and Instrumental Understanding (1976). Skemp's is a classic article that wrestles with a duality; in Skemp's case, the distinction between math for procedural skill versus a deeper mathematical understanding. For this meeting we turned the clock back further to Dewey's The Child and the Curriculum (1902), another classic article struggling with a duality in learning.

As D. C. Phillips (1998) noted in his review of The Child and the Curriculum, Dewey had a particular passion for dualisms, addressing more than three dozen of them in Democracy and Education (1916) alone. As Skemp and many others have shown, dualisms can be a starting point towards building a more nuanced understanding, as "neither is the world divided into a series of polar opposites, nor is it one" (Phillips, 1998, p. 404). Somewhere in between the opposites and the same lies the understanding many of us seek.

The Child and the Curriculum presents a particular dualism that very much persists to this day: should education be rooted in content, or in the needs and wants of the child? In Dewey's time, the push for a content focus was seen in the report by The Committee of Ten, not totally unlike how we currently push for content with documents like the Common Core State Standards. Dewey, like Skemp, also uses the metaphor of the map, using it to describe the logical versus psychological ordering of subject matter. Again, we still struggle with this duality today; last November Jere Confrey remarked at a conference, "There are some parts of the common core standards that I would express as mathematicians’ thought experiments," meaning we often guess how mathematical understanding is developed based on the structure of the mathematics instead of research on how children actually learn. These, of course, are not opposites, but they aren't the same, either.

Most of our discussion used Dewey as a prompt for thinking how Dewey's words more than a century ago frame modern challenges in education. (Reading Dewey seems particularly good for this kind of activity.) I was joined by +Nik Doran+Bryan Meyer+Nat Banting, and +Chris Robinson was feeding us ideas in the chat as we went along.



I plan to have more of these discussions, and hope we can get into some literature that really addresses research in math education versus some of these more theoretical or philosophical pieces. If you have suggestions for articles to read, please add them and vote them up or down in Google Moderator!

References

Phillips, D. C. (1998). John Dewey’s The Child and the Curriculum: A century later. The Elementary School Journal, 98(5), 403–414.

NCTM Denver 2013: Final Thoughts

Despite my flurry of blog posts during and immediately following this year's NCTM Annual Meeting, I fell short of recapping the last of the sessions I attended or summarizing some of my thoughts about the week. After my last post two months ago I needed to refocus on finishing a very busy semester — in less than two weeks I managed to give a presentation, write six papers, and tackle a digital pile of backlogged grading. Following that I just wanted to enjoy some calm and quiet, and I've done just that. Now on to the recapping:

Meyer's Tools and Technology for Modern Math Teaching


Annual Meeting - Saturday, April 20, 11:00 am

Dan Meyer - Stanford University and mrmeyer.com

I was one of many who turned out for Dan Meyer's session, which focused on why teachers should be using technology to capture, share, and resolve perplexity. What's perplexity? Dan described it as "not confusion" but a "wanting to know, thinking you're able to know." Dan is careful to differentiate perplexity from engagement, as we've all been engaged in something that was simply tedious or boring.

"I'm about THIS big."
This kind of perplexity describes a particular state of mind, one with more promise than the traditional definitions that describe perplexity as full of uncertainty and difficulty. However, when Dan speaks of "capturing" and "sharing" complexity, he's not so much describing a state of mind as he's describing the kinds of phenomena that provoke the asking of mathematical questions accompanied by an eagerness to mathematize. I'm hoping as Dan and others go forward we develop some sort of theoretical basis for these phenomena, or at very least, a useful classification system that can aid in task design. For example, I see the phenomena of scale frequently in Dan's work, provoking questions like "How much might the big blue bear weigh if it were a real, live bear?"

For capturing perplexity, Dan showed various tools for finding and saving things from the web and the world. These tools included an RSS reader for following blogs and news sites, a tool for downloading and saving YouTube videos, a note-taking application, a tool for capturing audio memos, and the camera on your phone. The particular tools here don't matter as much as knowing why to use them — they key is finding the tools that work well for you.

For sharing perplexity, Dan included technology like a computer with speakers and a projector, a document camera for showing student work, slideshow software, editors for photos and video, and a personal blog to "share the best stuff you do publicly."

For resolving perplexity, Dan made some connections to the Common Core State Standards. Standards aren't technology like computers and smartphones, but the CCSSM — particularly the Standards of Mathematical Practice — can be seen as tools for mathematical task design. There's a lot in the world that could be mathematized, but having a set of standards can help make sure it's done with the right content and practices in mind.

You can access Dan's shared resources for the session at nctm13.mrmeyer.com.

Hart and Hart's Viral Math Videos: A Hart-to-Hart Conversation


Annual Meeting - Saturday, April 20, 12:30 pm

Vi Hart - Khan Academy
George Hart - georgehart.com

I think Christopher Danielson said most of what I was thinking during this somewhat odd father-daughter session. It's difficult to describe the vibe that was in the room, with the presenters casually and sometimes clumsily taking turns describing then showing their videos. Near the end Vi grabbed a guitar for a rather brave musical performance that filled me with some kind of vicarious embarrassment, as if Fiona Apple had gone on stage thinking she was singing for lovelorn teens when in fact it was just those teens' math teachers. Then again, I feel embarrassed for others quite easily.

George Hart and Vi Hart

Perhaps I shouldn't be too critical. Some of the videos were pretty cool and who among us hasn't had at least one "Hey guys, check out this thing on YouTube" kind of moment?

Reflection


Having a big conference in your backyard is very nice, although I spent far more time on the bus or waiting at bus stations than I would have ever imagined. I take conferences seriously and believe in attending as many sessions as possible. Just as I never skipped a class in college -- and felt guilty about missing anything even when it was absolutely necessary — I'm not one to turn a conference visit into my personal vacation. So my NCTM experience turned into an 80+ hour grind investment not only in my own education, but as a proxy for the many who couldn't attend.

I tried to seek out a balance of sessions that were personally beneficial, high quality, and of wide interest. In a conference of this size there is plenty to choose from, but the downside of that is that session proposals are almost comically short and descriptions in the conference program don't provide much detail. The sessions are also of varying length and they overlap, which I think adds to the variety of sessions a person can attend. This year a new 30-minute session called a "burst" was introduced into the schedule, but I didn't attend one. My colleague +Ryan Grover attended a burst session, but was disappointed that many bursts happened at the same time. That made it difficult to schedule several in a row, and attending a 30-minute burst meant not attending a longer session offered at the same time unless you didn't mind sneaking in halfway through. I don't know what kind of feedback the program committee has gotten, but I hope they find a better approach for the bursts, perhaps something modeled like the paper sessions at the research conference. There, three authors briefly introduce their papers, and then session attendees have the option of sitting at a roundtable for 20 minutes with their choice of two of the authors. Perhaps in the future the bursts could be grouped in a similar way.

It's tricky to consistently find good sessions, and session titles like iPad Games for the Flipped Classroom seem far more likely to attract a standing-room only crowd than something based solidly in both research and practice. Then again, I attended some sessions because the presenter was well-established in the field of mathematics education, and frankly, that didn't always translate into a session that was engaging or helpful to me.



Some people used Twitter to try to improve their chances of finding the best the conference had to offer:







Shaunda McQueeney addressed a particular pet peeve of mine: Those who would rather spend time in the exhibit hall instead of attending sessions:



Over the past year or so I've become more and more aware and annoyed by how Twitter's limitations constrains our ability to communicate complex ideas or have fluent conversations. Unfortunately, the Twitter use at this conference didn't do much to change my mind. As I've written about elsewhere, Twitter is very good at covering events with short summaries of something that is happening or just happened, such as:



But when we try to use Twitter to share and engage in ideas, it's harder to scratch the surface. For example, this Tweet was far and above the most retweeted of any of my Tweets during the conference:



To me, the above statement doesn't really mean much of anything. By itself, I can't imagine it having an impact on a teacher's practice at all, and even if it did have an impact, there's nothing in the Tweet that describes how this is done. This is a platitude and little else, and I knew it when I tweeted it. I have a theory that these things are retweet bait, and I was testing out the theory. Many of the most retweeted Tweets appear as platitudes to me. That doesn't make them all bad, and it's a phenomena certainly not limited to Twitter, but there's a tempting superficiality there that I'd like to think people are aware of. That's why I'm thankful for efforts like MathRecap that at least offer an opportunity to sink some conceptual roots into solid ground.





I certainly could have tweeted Leinwand's talk — he may have been the most tweetable speaker at the conference — but I thought that recording his talk and taking notes would be the better approach in the long run. Conferences reach a limited audience for a limited amount of time. Twitter widens the audience, but is minimally helpful to the person wanting to revisit the event a day, week, or month later. Blogging helps remove limitations of both geographic and temporal limitations, and including audio and video is even better.

I've submitted a proposal to present next year, but I'm concerned about conference and travel expenses. As much as I enjoy conferences, it's difficult on a grad student salary to justify spending hundreds of dollars to present to 25 people, when I could reach many more staying home and assembling the presentation for the web for nothing. I'll wait to see if my proposal is accepted first and then decide from there.

NCTM Denver 2013: Danielson's They'll Need it for Calculus

Annual Meeting - Saturday, April 20, 8:00 am

Christopher Danielson - Normandale Community College, Bloomington, Minnesota

As Steve Leinwand noted in his Thursday talk, math teachers are a relatively conservative, risk-averse bunch. Perhaps our conservatism comes from the perceived slow but steady progress of math over millennia where it's easy to take comfort in the old because the new can seem so difficult to obtain. Some of this rubs off in the way we teach, the activities we choose for students, and our judgement about what's important for students to know.

Chris Danielson's session kicked off by calling out some mathematics that gets taught in the name of "needing it for calculus," despite no widespread need for it anymore. Simplifying radicals. Rationalizing the denominator. Simplifying rational expressions. Factoring quadratics. Composition of functions. The binomial theorem. It's not that someone, somewhere doesn't have a use for these things, but what is increasingly becoming the exception should not prove the curriculum rule. Mediocre proficiency with these topics is not what leads students to be successful in calculus. What students really need for calculus is a deep understanding of slope as a rate of change and accumulation.

Christopher Danielson

This is a familiar story for some of us. We cringe when we ask students "What's slope?" and they parrot back, "rise over run" without knowing much beyond that. Yes, that might be one way to describe slope, but there are other, and arguably more important ways to describe slope. Danielson's focus on slope as a rate of change not only is most fundamental for calculus, but it is in alignment with the research on teaching slope (Lobato & Thanheiser, 2002; Peck & Matassa, 2012; Stump, 1999, 2001).

Danielson led the well-attended workshop through a number of middle-school appropriate tasks involving rates of change. Because the tasks were set in informal contexts, students would be most likely to work in terms of "dollars per bicycle rental" or "enjoyment per piece of candy," depending on the context of the problem. Time was spent not just looking at rates, but doing simple calculations to compare changes in rates over time, a fundamental conception needed for calculus. The problems in the workshop were adapted from tasks found in Connected Mathematics, a popular NSF-funded curriculum for the middle grades.

For Christopher's presentation, related tweets, and participant notes, see his post at http://christopherdanielson.wordpress.com/2013/04/21/the-goods-nctmdenver/.

References

Lobato, J., & Thanheiser, E. (2002). Developing understanding of ratio-as-measure as a foundation for slope. In B. H. Litwiller (Ed.), Making sense of fractions, ratios, and proportions (pp. 162–175). Reston, VA: NCTM.

Peck, F., & Matassa, M. (2012). Beyond “rise over run”. RME in the classroom. Workshop at ICME-12, Seoul, South Korea. Retrieved from http://rmeintheclassroom.blogspot.com/2012/07/icme-12-workshop-and-sharing-group-on.html

Stump, S. L. (1999). Secondary mathematics teachers’ knowledge of slope. Mathematics Education Research Journal, 11(2), 124–144. Retrieved from http://www.springerlink.com/index/R422558466765681.pdf

Stump, S. L. (2001). High school precalculus students’ understanding of slope as measure. School Science and Mathematics, 101(2), 81–89. doi:10.1111/j.1949-8594.2001.tb18009.x

NCTM Denver 2013: Fennell and Wray's Math Specialists Get Ready Now: Common Core Assessments Are Coming

Annual Meeting - Friday, April 19, 3:30 pm

Francis (Skip) Fennell - NCTM Past President; McDaniel College, Westminster, Maryland
Jon Wray - NCTM Board of Directors; Howard County Public Schools, Ellicott City, Maryland

Skip Fennell, Jon Wray, and Beth Kobett (who was absent for this presentation) are the leads on ems&tl, the Elementary Mathematics Specialists & Teacher Leaders Project. As the name implies, the focus here is on supporting math specialists, such as district-level curriculum directors, instructional coaches, and anyone who is in a position to support mathematics teachers.

For this presentation, Fennell and Wray looked at the upcoming Common Core assessments, PARCC and Smarter Balanced (SB), and suggested ways math specialists can help teachers prepare for the tests.

Francis (Skip) Fennell

The challenge Fennell and Wray presented was essentially to focus on the upcoming assessments and respect the influence they will have on curriculum and instruction, without focusing too narrowly on the assessments and cause instruction and learning to suffer. This means, for example, not turning classroom practice into test prep, and using sample items from both PARCC and SB wisely.

Fennell and Wray used the concept of assessment literacy to describe the ability for teachers and specialists to understand a testing program. Many teachers have no formal training in assessment, so math specialists must be able to help them build their assessment literacy. Part of this is simply becoming more familiar with the schedules and formats of the upcoming PARCC and SB assessments. Both consortia offer more than just an end-of-year test, and teachers are going to need to help students interpret new kinds of technology-enabled assessment tasks.

Jon Wray

Fennell sees great potential in the CCSSM, but said, "If the Common Core becomes political, it's dead." Teachers and specialists need to work with the standards in ways that doesn't reduce them to a checklist of vaguely connected ideas. Using a number of items and task prototypes, Fennell and Wray showed examples of sample items from PARCC and SB and showed the many ways these could be used richely in lessons if the teacher provides the right support and instruction. "There are a lot of ways sample items can be used as instructional gems, " said Fennell. A list of potential questions and strategies for various tasks can be found in their slides.

The presentation wrapped up with an urging to better understand the role of formative assessment around these sample tasks. Also, encouragement was made to use materials from both PARCC and SB, regardless of the test your state has adopted. More task resources were linked to, including Illustrative Mathematics, the Institute for Mathematics and Education (especially the progressions documents), The Mathematics Common Core Toolbox, the PARCC Educator Leader Cadre Portal, and the Smarter Balanced Scientific Sample Pilot Test Portal.

The slides for this presentation are available here.

NCTM Denver 2013: Building Mathematics Learning Communities with NCTM Reflection Guides

Annual Meeting - Friday, April 19, 2:45 pm

NCTM Professional Development Services Committee
Chonda Long, Director of Professional Development at NCTM

The take-away from this session is pretty simple. To help facilitate professional development, NCTM has produced a series of free, online reflection guides that leverage lessons in NCTM journals.

Chonda Long

The idea is that teachers in professional learning communities can use these reflection guides to help focus their efforts around particular lessons. As an example, we worked through a problem presented in a 2005 issue of Mathematics Teaching in the Middle School. I left to attend another session before the ending, but the reflection guide and a link to the lesson can be found at http://www.nctm.org/profdev/content.aspx?id=23531.

To see all the reflection guides, visit http://nctm.org/reflectionguides.

NCTM Denver 2013: Hirsch's Mathematical Modeling: The Core of the Common Core State Standards

Annual Meeting - Friday, April 19, 2:00 pm

Christian R. Hirsch - Western Michigan University

Hirsch might claim that modeling is at the core of the Common Core, but at a glance it looks like a standard without standards. Yes, the fourth Standard for Mathematical Practice is "Model with mathematics," but the high school content standards chooses to mark standards in other domains as related to modeling instead of grouping the modeling standards together. This makes it more difficult to see the modeling connections across the high school standards, but that shouldn't reduce their importance.

Christian Hirsch has been at Western Michigan for 40 years and he is probably best recognized as the principal investigator for the Core-Plus Mathematics Project. Along with IMP, Core-Plus is one of the most recognized secondary, integrated, NSF-funded curricula to come out of the post-Standards curriculum development period in the 1990s.

Christian Hirsch

Hirsch opened his talk by detailing how all of the mathematical practices can be addressed with a modeling-focused framework of curriculum and instruction. "Real world problems, if even solvable, take a lot of time and perseverance." To Hirsch, Standards for Mathematical Practice 1 and 4 are the focal points of the entire process, at least in classrooms with good instruction. "I'm talking about classrooms where classes begin with problems. I'm not talking about classrooms where the problems are saved until the end."

The key to modeling and making mathematics problematic, says Hirsch, is to identify problems in context, study those problems through active engagement, and reach conclusions as the problems are at least partially solved. The learning lies not only in the solutions to the problems, but the new mathematical relationships that are discovered along the way.

Hirsch used several examples of problems involving modeling in this presentation. The first dealt with the business prospects of a climbing gym. Assuming a survey had been conducted that found the number of expected climbers is related to price \(x\) by the equation \(n(x) = 100 - 4x\), how many daily climbing wall customers should the gym expect? I didn't catch all the details of this problem, but the next question involved finding the optimal and break-even revenue points for the gym, which is nicely modeled by a quadratic. Hirsch advocated using a computer algebra system to assist with the calculations, and advised to help students realize that rounding to the nearest cent, if necessary, also slightly moves answers away from their true zeroes or maximums.

Hirsch's next problem dealt with finding the optimal location for an oil refinery with wells 5 km and 9 km from shore. I sense that this and the previous problem are in Core-Plus, but unfortunately that wasn't made clear and no handouts or downloads for this talk have been provided. While I don't like leaving presentations early, at this point I had a pretty good sense for this one and left to catch an overlapping presentation starting at 2:45. The problems Hirsch chose and the approaches to solve them were pretty solid 30 or more years ago and are still pretty solid today, and I wasn't feeling like the presentation was suddenly going to break new ground. (For me, at least. I totally understand that problems and approaches like this might be new ground in many classrooms.)

NCTM Denver 2013: Leinwand's Essential Mindsets for Tilling the Soil for the Common Core State Standards

Annual Meeting - Friday, April 19, 9:30 am

Steve Leinwand - American Institutes for Research, Washington, D.C.

There is perhaps nobody better at shouting math education's rallying cry than Steve Leinwand. Knowing that my notetaking could not keep up, I recorded Steve's talk for later review. Graciously, Steve has granted me permission to post it here. (Which saves me a ton of typing!) You can find slides for Leinwand's "Tilling the Soil" talk on his website.


Check this out on Chirbit

Dan Meyer covered the tweeting duties during the talk:























My takeaway? Math teachers need to push for more and better collaboration. No longer can teachers just teach what they enjoy, or pretend teaching is mostly improvisational. If we are truly professionals, we need to do serious work around our new standards and curriculum, including critiquing the teaching of colleagues, reviewing and refining lessons over time, and recognizing the body of knowledge about teaching mathematics that can be built upon and further contributed to. But listen for yourself.

NCTM Denver 2013: Abels, Matassa, & Johnson's Making Sense of Algebra with Realistic Mathematics Education

Annual Meeting - Thursday, April 18, 2:45 pm

Mieke Abels - Freudenthal Institute for Science and Mathematics Education, University of Utrecht
+Michael Matassa Jr. - Freudenthal Institute US, University of Colorado Boulder
+Raymond Johnson - Freudenthal Institute US, University of Colorado Boulder

When it came time to propose session for the 2013 NCTM Annual Meeting in nearby Denver, we at the Freudenthal Institute US at CU-Boulder knew we should have some kind of "Intro to RME" workshop. Because I was already proposing to be a lead speaker on another session, I needed to find someone else to take the lead. Michael Matassa said he would do it, but then +David Webb had a better idea: Why not ask Mieke Abels from the Freudenthal Institute to do it? Mieke would be a perfect choice - she's been involved in FIUS from the beginning and she continues to be involved in curriculum development for Mathematics in Context and curriculum in the Netherlands. Happily, Mieke agreed and Michael and I were happy to back her up as co-presenters.

The picture at the top is Nederland, CO, which is amusing to our Dutch colleagues

Our goal in this presentation was to bring out the curriculum design features and give attendees a sense for informal and preformal approaches to algebra for the middle grades. Too often it seems "early algebra" gets interpreted as "algebra early," as if a school could just box up their high school algebra textbooks and ship them down to the middle school. Making big jumps to formal mathematics is risky, and that's one reason Realistic Mathematics Education (RME) adheres to a principle called progressive formalization. To illustrate, we started with a task you could give to 6th graders, or perhaps even younger students.

Tug-of-war, taken from Mathematics in Context

Those of us who have mastered formal algebra tend to want to write equations for this and solve. But for young students, RME design principles suggest we support students by relying on a "realistic" context. While "real-world" contexts are certainly realistic, RME's use of "realistic" means it can be imagined by the learner. The power of the context is not necessarily its authenticity, but its capacity to be mathematized.

On the tug-of-war task students will inevitably find different ways to substitute different animals for each other until it becomes clear which side would win the tug-of-war. Some students will likely try to redraw the animals, while others might use letters ("E" for elephant, etc.) as a substitute. Even though a formal equation might use "E" to represent the pulling strength of an elephant, it's fully expected at this stage for students to try writing things like "E = O + 2H" to represent the animals in the middle of the above slide, and interpret "2H" simply as the abbreviation "2 horses."

The Iceberg Metaphor

The concept of progressive formalization is often represented with the iceberg metaphor (Boswinkel & Moerlands, 2003; Webb, Boswinkel, & Dekker, 2008), which places formal mathematics above the water line. The tip of the iceberg is only supported because of the iceberg's "floating capacity, which is where informal and preformal mathematics is placed. Examples like the tug-of-war problem are informal because they rely almost entirely on the realistic context with little or no mathematical abstraction.

Here's another example of an informal task:

Three Frogs, taken from Mathematics in the City

Again, the frog jumping doesn't have to be something replicable in the real world. It need only exist in the imagination of the student, and to solve it students need to find ways to represent the jumps and steps in their work. At this point students will have worked often with number lines (including open number lines) and easier problems involving frog jumping, making number lines a natural model for this problem, like this:

Using an open number line to represent Sunny's jumps

The nature of this problem and the need to draw double number lines that end in a particular place helps students consider what it means to be variable in this problem, versus what quantities remain constant. Other types of problems with other contexts use other kinds of models. For example, the familiar model of a balance is used in RME-based curricula (the 1 and 5 represent weights):

The balance model, found in the Digital Mathematics Environment

Student work for these kinds of tasks can be an indicator of where in the formalization process students might be. If students are redrawing pineapples and lemons, they are still working at an informal level. For convenience they might replace pineapples and lemons with letters, suggesting a small amount of formalization, and eventually they'll be using those letters to write equations and not need to think in terms of the fruit and the balance. Just like tug-of-war, the balance model suggests an understanding of equals that is relational, which helps students who tend to interpret equals as operational.

The use of models is at the heart of the preformal level of the iceberg. Nearer the bottom we would place models of informal contexts. For example, a student who draws sectors of a circle to represent a fraction of a pizza is using the circle as a model of the pizza. Nearer the top of the preformal level we would place models for mathematical abstraction. The student who uses sectors of a circle to represent a fraction of seats occupied in a bus is using the sectors of the circle as a generalized representation of a part and whole, and not a specific representation of a bus. In RME students become familiar with many models, such as number lines, open number lines, double number lines, ratio tables, five frames, rekenreks, area models, and balance models.

Models are key at the preformal level of the iceberg

Another preformal model useful for systems of equations is notebook notation. Here a problem shows two combinations of long and short candles. Working informally, students would find some combination of candles that makes the problem solvable, such as doubling the second combination to make two long candles and two short candles for $6.80. Since the top arrangement has one more short candle and is a dollar more, then short candles must cost $1.00. A preformal way of working with these combinations is notebook notation:

Notebook Notation, taken from Mathematics in Context

From the notebook it becomes easier to see how students will learn to write and manipulate formal systems of equations. The column headings become the variables, and equal signs are placed in front of the total. Formal matrix notation is reachable from notebook notation as well.

Although progressive formalization is often presented as a direct informal-to-preformal-to-formal process, it is not expected that students will learn this way. Students who can work formally or preformally with easier problems are likely to reach to a lower level when problems become more difficult. Because they have achieved the formalization with easier problems, they become more likely to formalize more difficult problems when they can reason with less formal strategies when necessary.

Another way to view progressive formalization is with a learning trajectory, which connects specific contexts and representations along a path towards formal mathematics. Creation of both iceberg models and learning trajectories can be a productive activity for professional development and curriculum planning and alignment.

A learning trajectory for equations and systems of equations, with connecting links

RME isn't meant to be deeply complex, but contexts, models, and the connections between them need to be carefully chosen. Curriculum developers at the Freudenthal Institute take a design research approach to this work, testing and revising in iterative cycles to improve the curriculum over time. FI (formerly IOWO) was founded by Hans Freudenthal in 1971, giving the Netherlands over 40 years to gradually improve their mathematics curriculum and teaching. This type of adherence to a core philosophy for so long is generally unknown in education in the U.S., but schools in the Netherlands have used it to score near the top of international rankings on the mathematics portion of the PISA assessment.

If you'd like more information about RME, the following might be of interest:
References

Boswinkel, N., & Moerlands, F. (2003). Het topje van de ijsberg [The top of the iceberg]. De Nationale Rekendagen, een praktische terugblik [National conference on arithmetic, a practical view] (pp. 103–114). Utrecht, The Netherlands: Freudenthal Institute. Retrieved from http://www.fisme.science.uu.nl/publicaties/literatuur/5467.pdf

Van Reeuwijk, M. (2001). From informal to formal, progressive formalization an example on “solving systems of equations”. In H. Chick, K. Stacey, J. Vincent, & J. Vincent (Eds.), The future of teaching and learning of algebra: The 12th ICMI study conference (pp. 613–620). Melbourne, Australia. Retrieved from http://repository.unimelb.edu.au/10187/2812

Webb, D. C., Boswinkel, N., & Dekker, T. (2008). Beneath the tip of the iceberg: Using representations to support student understanding. Mathematics Teaching in the Middle School, 14(2), 110–113. Retrieved from http://www.nctm.org/publications/article.aspx?id=20793.