Reflections on maths, learning and the Maths Learning Centre, by David K Butler

Tag: teaching

  • Struggling students are exploring too

    I firmly believe that all students deserve to play with mathematical ideas, and that extension is not just for the fast or “gifted” students. I also believe that you don’t necessarily need specially designed extension activities to do exploration – a simple “what if” question can easily launch a standard textbook exercise into an exploration.

    This is lovely, but one problem is those students who on the face of it don’t want to play. The majority of students I work with in the MLC are not studying maths for maths’s sake, but because it is a required part of their wider degree. That is, I am helping students who are studying maths for engineering, or calculations for nursing or statistics for psychology. A lot of these students just want to be told what to do and get the maths over and done and don’t like “wasting” time playing with the ideas.

    Or so I thought. I have realised recently that actually they do like playing with the ideas. I just couldn’t see that this was what they were asking for.

    One of the questions I like to use to play with maths is “what if?” To ask it requires the asker to notice a feature they think might be different, and wonder what would happen if it was, and so investigate how this feature interacts with the other features of the situation. This investigation of how ideas interact is exactly what mathematics is, to me. I am very very used to doing it at extracurricular activities like One Hundred Factorial, and it’s easy to do with students who are doing very well with their maths and have the breathing space to wonder about this stuff because they’ve finished their work. For students working on an assignment they are really struggling with that they wonder about the usefulness of for their degree and which is due in the next 24 hours, it’s not so easy.

    Only maybe it’s a little easier than I thought, because I started to notice that the students were already asking questions about the connections between things.

    A very common question students ask around exam time is “What would you do if the question was like this …?” as they suggest a change in a small detail that makes it more similar to the past exam question they have at hand. I used to get really annoyed at this sort of question, but then I realised that in order to ask this question they had already noticed that the two problems were similar in most respects and different in this one. Sure, they may be motivated by a belief that success in maths is about a big list of slightly different problems and remembering ways to deal with each, but on the other hand they have noticed a relationship and are trying to exploit it, This is a mathematical kind of thought, to look for similarities and differences and relationships, and we can hang on tight to it and actually learn something!

    Another kind of question students ask is “Why is this here in this course?”. I used to get annoyed at the whinging tone of voice here, but then I realised that a student is begging for a connection between this and the rest of what they are studying, and connections is precisely what understanding maths is all about. I can respond to it by saying that yes I am also confused about the curriculum writer’s logic for including it, but then we can search out connections together to see if we can find them.

    A third kind of question is the one where the student looks at the lecture notes or solutions and asks “How did they know to do this?”. Sure, it’s usually motivated by wanting to be able to successfully do it in their own exam in restricted time, but on the other hand it does recognise that there ought to be reasoning involved in that decision, as opposed to just guessing. This expectation of reasoning is the beginning of believing that they themselves could reason it out too.

    My second-last kind of question is “Why is this wrong?” as the student points to the big red cross on their MapleTA problem on the screen. Sure they just want to make it all better so they can submit the damn thing. But they are also recognising that there must be a reason why it’s wrong, and so are looking for meaning. These students are often ripe for the experience of looking at the information and how it’s related to what they’ve entered, thus doing exploration. They are also usually ready to try various different ways of entering the result, or different strategies of getting a right answer to see where the edges of the idea are.

    The final kind of question I want to mention isn’t even a question, it’s an exclamation of “It doesn’t make sense!” Even this is telling me that the student thinks it ought to make sense. They are crying out to do something to make sense of it. Often they describe being almost there and needing something to push them over into understanding. This student is ready to explore the edges of the understanding they do have to see where the nonsensical stuff can fit, or where their ideas need some tweaking to fit together better.

    It is very helpful to me as a one-on-one or small group teacher, or even a lecturer with a big room of students in question time, to be able to see the questions struggling students are asking as cries for sense-making exploration. It doesn’t matter that they are struggling or don’t understand things. Indeed, being in a situation of not knowing is exactly what we are doing for the fast students when we give them extension activities, so why is the everyday maths the slower students are not understanding any different? In my experience students like being treated as if they are behaving like mathematicians when they have these struggling sorts of questions. And it was so much easier to treat them that way after I realised they are behaving like mathematicians when they have these kinds of questions.

  • Playing SET

    Amie Albrecht recently posted a most wonderful blog post about SET,  and it reminded me there were some SET-related things I should post too.

    You can read the two posts in this series in PDF form here. 

    The titles of the two posts are:

    • Teaching people to play SET on the fly
    • Team SET

    Resource linked in the blog posts:

  • When the data doesn’t work

    This week I’ve been running the tutorials for the core first year Health Sciences course. The tutorial is a very light intro into how data is part of communication of health science research, and one of the activities involves the students arranging a set of data cards to investigate relationships between variables. Something happened today that I hadn’t observed before and I need to talk about it.

    The students had been going for a little while on the activity, and I walked over to one group just as they were pulling apart some groupings of cards. I asked them what they were doing and they said “We’re starting again because the one we did didn’t work.”

    “What do you mean it didn’t work?” I asked.

    “We we’re looking at hat wearing and happiness and we didn’t see anything,” they replied.

    I was momentarily shocked as the implication on this began to dawn. These students had made a picture that showed there was no relationship, and decided to take it apart because it didn’t work. That is, in their minds, it only works if there is a relationship!

    I said to them I’d love to have them put their picture back, because it’s still good to show there isn’t a relationship. (They didn’t, which made me sad.)

    I wonder if they had come to this conclusion just because of their natural thinking, or because their past experience was that if a teacher asks them to look at data then there is always a relationship. Either way it’s a bit of a dangerous thing to set up because we are in a bit of a crisis in medical publishing where only positive results get published.

    Perhaps we need to give students more examples of data working effectively to argue a lack of relationship.

  • Ten years

    On the 23rd of July 2008, I started my first day as coordinator of the Maths Learning Centre at the University of Adelaide. Today is the 23rd of July 2018 – the ten year anniversary of that first day. (Well, it was the 23rd of July when I started writing this post!)

    So much has happened in that time. I have given hundreds of hours of revision seminars, I have written/drawn on tonnes of paper, and used miles of sticky tape and chalk in mathematical artwork, and I have talked individually to over ten thousand students. I can’t possibly distill it all into one blog post, but I can talk about why I believe I am meant to be in this job and still meant to be in this job.

    When I went to the interview for the MLC coordinator position, I thought it would be a pretty cool job to have. At the interview, I had the epiphany that it was not just a cool job but it was in fact the perfect job for me, the job I really needed to have. Travelling home from the interview, the thought that I might possibly not get the job made me cry almost the whole train journey. I remember praying to God that I would find out soon. They called me that very night to say I had won the position!

    I still believe that this is the job I was destined to have. In no other job could I have been able to indulge my dual interest in both university pure maths concepts and fundamental maths concepts you meet in primary school. In no other job could I simultaneously help students overcome their crippling fear of mathematics and (sometimes the same students) become research mathematicians. In no other job could I make mathematical art and play an actual legitimate part of my work. Admittedly, I may have made some of those things part of my job when they weren’t part of it before, but it was being here in this role at this university that has allowed me to do so.

    There are parts of the job that are annoying – interminable meetings, lecturers who take my offer of support as an affront, constant requirements to convince the establishment that what I do is important, semesterly reminders that we just don’t have enough funding to provide the level of support I think is necessary – but overall it is a most wonderful and amazing job.

    When I started ten years ago, I already knew the pleasure in helping students learn, but since then I have learned the even greater pleasure of letting students help me learn. I have barely scraped the surface of learning first hand about how people think about maths and how they learn maths, and I don’t think I never get to the end of the wonder of it.

    Thank you to the other MLC lecturer Nicholas and all my casual tutors for coming along for this ride of teaching at the MLC, for listening to me as I talk through my crazy ideas and plans, and for pushing me to be a better teacher and leader. Thank you to all the other staff of the university that have worked so graciously with me, especially those nearest in the other student development and support roles. Thank you to my new colleagues I have met through Twitter, who make me better as a teacher and a mathematician in so many ways. Most of all thank you to my wonderful wife and daughters for always believing in me, and tolerating my mind ticking over on work things most of the time – I could never do this without your love and encouragement.

    It’s been a wonderful ten years at the MLC. I hope the next decade is just as wonderful.

  • Leaving the most important teaching to chance

    Something is bothering me about teaching at university: we are leaving the most important teaching to chance.

    In most tutorials, there is an opportunity to try out things with a tutor there to talk to about it, or deep discussion of course content, or at the very least worked examples of using the ideas in practice with a higher chance of asking questions. In a lot of ways the tutorial is the place where the majority of the classroom learning actually happens in a university course. Indeed, students often say that tutorials are the most important part of their learning at university and will go to them even if they don’t go to lectures. I talked to a student just the other day who was still catching up watching the lectures online from two months ago, and yet has been able to do his assignments because he has been attending the tutorials.

    So, if the tutorial is the most important class for student learning, then you would think that the tutorial would be the class where you put the most effort into making sure it was as good as you could achieve. Yet in so many disciplines in so many universities, the tutorials are given to their current postgrad students to teach, with minimal or no training. (Not to say the postgrad students can’t be great teachers, just to say they don’t have much teaching experience yet.)  By not carefully considering our tutorials and training the tutors, it’s like we’re leaving the most important teaching to chance.

    Even more than this, most initiatives to improve teaching at university focus on the lecturers. We give support for designing what happens in lectures and online, but somehow we don’t provide any time or resources for training the hundreds of tutors running the thousands of tutorials. Again, we spend all this effort improving lectures, but leave the most important teaching to itself.

    This really surprises me, and I really wish there was something I could do about it. What I wish for is a funnelling of funding into designing effective teaching in tutorials, and even more importantly, funnelling funding into training tutors in effective teaching in tutorials. I think this might have a huge impact on learning at university.

  • A public health approach to improving teaching and learning

    Making a big difference to student learning is a tricky business. Here at my university, there are a certain number of (wonderful) teaching staff who are champions of innovation, always making big changes to the way they do things and jumping onto any innovation as soon as it comes around. Yet the students not in those classes don’t see much benefit from it. Indeed, those staff who are not champions of innovation may do nothing for fear of having to adopt all at once All The Things they see the champions doing. A student who seeks regular support for their learning may make spectacular gains, but there are literally thousands of other students who don’t seek such support on a regular basis, and thousands of students who don’t really need spectacular gains but just a little bit extra. I have started to think that perhaps the best way to make a big difference is to find some way of encouraging a large number of small differences.

    This is essentially the way Public Health works. In Public Health you are concerned with whole population health initiatives, which are often of necessity a large number of small differences. For example, you may not cure the flu, but you might encourage 20% more people to wash their hands and so prevent the spread of infection and stop so many people getting the flu in the first place.

    Imagine the benefit that might happen, not if a few lecturers rub out their courses and start again with flipped learning, but just if every lecturer simply labelled everything in Canvas/Blackboard so the students could easily find stuff. Imagine the benefit, not if a few course coordinators completely changed their tutorials to be about group discussion, but if every classroom tutor asked one “what if” question in every tutorial. These are not big things to change, but if a lot more people did them, I think the overall effect would be far-reaching. And they might seem like something you could actually do, as opposed to the big changes that are the usual fare of innovation.

    Personally I am trying to do more Public Health approaches to student support too. Instead of just visiting lectures to tell the students how to seek one-on-one support, I’m visiting with a five-minute message about interpreting assignment questions, or choosing to put in more explanatory working, or what a standard deviation is. If I can reach even half of a lecture of 500 students with one of those little messages, then I have made a big difference by making a lot of small differences.

    Unfortunately, Public Health doesn’t make for spectacular stories. Giving one person brain surgery to save their life after a horrific traffic accident is a spectacular story. On the other hand, lowering the speed limit in urban areas in order to make horrific accidents less likely is not a spectacular story, but it can be argued that it saves a whole lot more lives. I only hope I can convince the Powers That Be that my Public Health approaches to learning and teaching improvement are worthwhile, if not spectacular.

  • The unexpected fear of statistics

    Statistics is the cause of a lot of fear. There are thousands of students studying psychology, sociology, economics, biology, medicine, animal science and education who thought they would be free of mathematics and suddenly discover they have to deal with statistics. In the case of psychology it is absolutely everywhere: both in whole courses about statistics, but also embedded in almost every other course they do. For most of these students, their fear of statistics carries over from their existing fear of mathematics, and so as sad as it is that they are afraid, it’s not wholly unexpected.

    What is unexpected is the the thousands of students who have done the highest levels of mathematics at school, and are doing the most mathematical disciplines like physics, engineering and mathematics itself, and yet somehow have a deep aversion to statistics when it appears in their degree. Indeed, my own staff at the Maths Learning Centre often express a fear at having to help people with statistics. As I often say “Mathematicians are afraid of statistics in a similar way to how other people are afraid of mathematics.”

    But why? What is it that causes this fear of statistics in those with lots of mathematical experience? I have some ideas…

    One of the biggest reasons is that statistics isn’t 100% maths. A large part of statistics is whatever discipline the statistics is being used for today. That discipline dictates the kinds of data that can be collected, how it is recorded, and most importantly how it is interpreted after the statistics is done. In a generalist statistics course this will change moment-to-moment as each new assignment question brings up a new context. In Question 1 it’s ecology, in Question 2 it’s quality control in food production, and in Question 3 it’s engineering. Each new question requires you to think about a new context and understand various subtleties about what the context means. For a professional statistician, this is often what they say is the most exciting thing about their job. They absolutely love that they get to “play in everyone else’s backyard”. They love that the same tools can be used for a large variety of different problems. However, for many a maths student, this annoys them at best and terrifies them at worst. They didn’t sign up to learn ecology/food science/engineering; they signed up for maths. They prefer to work with the numbers and word problems have made them worried from a young age. Think of how terrifying it would be to suddenly be forced to do a course where every single problem is a word problem! And spare a thought for how hard it is to do the statistics when you don’t have a clue what the context means. As I said, each new context has subtleties that impact a lot on how the statistics is applied and interpreted, and not everyone will have the general knowledge (or indeed language skills) to understand those subtleties without considerable effort. And now imagine having to go through that effort for every single assignment question. It’s exhausting!

    I’m not really sure what to do about this particular problem, other than making sure you give students space and time to talk about the contexts. Don’t treat them like idiots for not understanding contexts they have never experienced before, and definitely don’t think they don’t understand the statistics just because they don’t understand the context. Allow them the grace to have to ask what a manatee is and to ask why manatee deaths would be expected to have anything to do with powerboat registrations. I can imagine assignment questions having links to further information so they can find out more, or a quick whole-class discussion about contexts when you hand out assignments – possibly something like a numberless word problem. They might go a long way to alleviate context fatigue.

    The second reason is that statistics involves making decisions, the biggest of which is deciding what statistical procedure to do and which bits of your situation go with which parts of the procedure. With so many to choose from, and no consistent naming system for the various procedures even inside the one discipline, this is a hugely daunting task for the beginner. It all just seems like a big cloud of random stuff and the students often can’t see what it is that distinguishes between the procedures and what information is being used to decide one over the other. This is only compounded by the fact that part of the decision is made based on information that comes from the context the statistics is being used for today, which was already a problem. It’s further compounded by the fact that many who succeed in mathematics at school have done so by having a list of problem types and how to solve each one, and are not actually used to making decisions at all.

    I think a good dose of actually analysing that decision process and comparing situations that produced different decisions would go a long way to helping this, rather than leaving the decision to chance. Indeed, I’ve written before about how important it is to give students practice at the act of making the decision.

    The final reason I can think of right now is that doing statistics requires making a computer do what you want. This is a completely separate skill from understanding the context, understanding the maths and deciding what stats to do, and has a whole host of its own frustrations, not least of which is just getting access to the computer program itself or figuring out how to install it! And yet it is the gatekeeper of producing actual statistical results. Learning how to communicate with the statistics program is just one more language process that has to happen to succeed in statistics, on top of the decision-making and context-interpreting language processes I already mentioned! Added to this, for the mathematically experienced, they have spent a lot of time learning how to assert their independence from technology and rely on their own reasoning. To not be able to do something themselves and be forced to get a machine to do it for them leaves a bad taste in their mouth.

    Again I’m not too sure how to do something about this problem. Certainly you can make sure there is a lot of support available for getting the program to work, and for asking help specifically with the program. At university you could elevate it to the regular lecture time rather than leave it to practical classes that students may avoid. (Yes I know if they struggle with computer stuff they should go to computer classes, but humans are nothing if not illogical when emotions like guilt and fear are involved.)

    Now that I have written this all down, it occurs to me that these problems are a lot about language, and so this issue may be related to your high-maths-experience students avoiding language in much the same way that other students avoid maths. Perhaps the main thing we can do for them is help them process the fact that it will be about language and support them in their language, and perhaps help them realise that they have a lot more language skills than they thought they had. (Those of us who teach students at earlier stages in their lives might do well to help them realise that maths is all about language anyway!) On top of that, we can have some compassion on them because learning statistics actually is hard work.


    Megan 15 May 2018:

    I personally love statistics but I certainly know plenty of maths learners and educators who don’t. I think statistics is often mathematically simple (mostly plug and chug often with technology) but conceptually challenging. For example, even a simple p-test (covered in Year 12) is not entirely intuitive (Wouldn’t we want a large probability to reject H_0?…We reject for a large test statistic…). As a result, students who usually do well in maths are suddenly struggling not because they can’t do the maths but because they need more time to understand the context and interpret what the numbers actually mean as you say. Maybe more discussion of what is actually happening when we perform different tests could help.

    David Butler 25 May 2018:

    Thanks for the comment Megan. Yes I agree that people might struggle because it’s not the maths that’s the problem! I reckon more discussion of how the context relates to the maths might help them make the connection.

  • Stop hating on cis(θ)

    I met with some lovely Electrical and Electronic Engineering lecturers yesterday about their various courses and how I can help their students with the maths involved. And of course complex numbers came up, because they do come up in electronics. (I have not the slightest clue how they come up, but I am aware that they do.)

    I asked them what notation they used for complex numbers, and they told me about using j instead of i, and then about polar form using either reᶿʲ and r∠θ. I told them that the students will have seen the notation r cis(θ) at school for those and I was met with righteous indignation. What a horrible notation! How could anyone think that was a good idea!

    It was rather a surprise considering their wonderful openness and friendliness up to this point. But this is not the first time I have been met with this sort of response to cis from more-or-less nice people. Many a mathematician has expressed to me their disdain for this little notation, and I have to say I am bamboozled. Why do people hate it so very much?

    I actually rather like cis. I like how cuddly-looking it is with all those curvy letters. I like how wonderfully easy it is to write simply with no special symbols and with no powers that have to be typeset at a higher level than the text. I like how it sounds like you’re singling out one of your many sisters when you say it aloud.

    I think cis(θ) is friendlier than eⁱᶿ because it doesn’t require you to suddenly believe that imaginary powers of real numbers are a thing and believe they ought to be this unusual combination of cos and sin. I think it’s also friendlier than ∠θ because we’re not co-opting a symbol we saw in geometry for a new and strange usage. (Not to mention the fierce pointiness of ∠ compared to the cuddly roundness of cis.)

    Finally, the thing I like the most is how cis(θ) is a function that takes real numbers and produces complex numbers, and those numbers are on the unit circle. For me It’s such a nice thing right from the start to recognise that there are such things as functions that produce complex-number outputs, and that they can have rules to manipulate them just like ordinary functions. Indeed, writing it with a multiple-letter name like all their other familiar functions forges this lovely connection. I also  love that multiplying a complex number by cis(θ) rotates it around the origin θ anticlockwise, because of course it does since cis(θ) is a position on a circle. (If anything, I think it wouldn’t hurt it if we renamed it “cir” to highlight its connection to a circle rather than highlighting its connection to cos and i and sin, even if that means losing its familial pronunciation and a little roundness.)

    Here’s a little geogebra applet to play with cis as a function from the real numbers to the complex numbers: https://ggbm.at/MWnm5TJA 

    Two graphs side-by-side. The left-hand one is labelled INPUT and shows just an x-axis with a point marked A. The right-hand one is labelled OUTPUT and shows an real and imaginary axis and a point marked cis(A) somewhere in the first quadrant.

    I know it hides the thing about complex powers of real numbers, but I think it’s important to hide that for a bit, lest the eⁱᶿ feels too much like a fancy trick. Plus I think it’s good to be familiar with this friendly little function for a while before discovering that it also solves a problem of complex powers. Indeed, I would love it if students were familiar with this friendly little function even before introducing the concept of polar form.

    So there are the reasons why I actually rather like cis. But there is one more reason I think mathematicians and professional maths users shouldn’t hate on cis: because it means hating on the students themselves. Our students put a lot of effort into understanding cis, and to loudly announce how much you hate it is telling them that they wasted all that effort and that their way of doing things is less sophisticated and babyish. Not the best way to start your relationship with them as their university teacher. I’d prefer it if people started off with acknowledging the coolness cis and then pointed out that the other notations are more convenient for doing what they want to do, or allow them to write formulas in more magical-looking ways, or allow them to do some cool stuff with powers. Then maybe we might not get them offside early in the piece.

    So please, stop hating on cis(θ)!

  • Three hours in the MLC Drop-In Centre

    Last week, I had one of those days in the MLC Drop-In Centre where I was hyper-aware of what I was doing as I was talking with students and by the end I was overwhelmed by the sheer volume of things I had thought about. I decided that today I might attempt to process (or at least list) some of it for posterity.



    A Real Analysis student was worried about a specific part of his proof where he wanted to show that a function was increasing. The function was a kind of step function with more and more frequent steps as it approached x=1. It was blindingly obvious from our sketch of the graph that it was increasing, but every time we tried to come up with a rigorous argument we just ended up saying something equivalent to “it is because it is”. I remember thinking about whether it was just obvious enough to just say it without proof, but shared the student’s desire to make the nice clean argument. I don’t remember now if he ended up with a neat argument or not, but I do remember finishing with the moral that obvious things are often the hardest things to prove.

    Before we even got to this frustrating little bit of the proof, I was reading through what he had done already, and I noticed that he had written “x is < 1” and commented that this wasn’t a grammatical sentence because the “<” contains an “is” already – it’s “is less than”, which makes his sentence “x is is less than”. This led to quite a discussion about the grammar of “<“, which is complicated by the fact that it can be read aloud in multiple ways depending on context. We investigated some other sentences containing < or > he had seen written before to see how it was pronounced there. In my head I was reminding myself to pronounce written maths aloud more often when I’m with students so they can learn the correspondence between speech and writing in maths.


    I was called over to help a Quantitative Methods in Education student with her research assignment because she had mentioned she was struggling with statistics (and I’m the default stats support person). Eventually I helped her figure out that her problem wasn’t statistics at all, but rather that she didn’t understand the wider context of the research, or what the data actually represented, or what the actual goal was. Mainly this came about by me not understanding the context, data and goal and kept asking her questions about those things in order to try to figure out where the statistics fit into what she was trying to do. We talked about how she might go about gaining the understanding she needed in order to come up with the specific-enough questions about variables that statistics would be able to help her to answer. I could see her heart sinking, so I reassured her I would still be here next week to talk about the statistics should she need that support later, but also from our discussion that she would probably be okay with that part when it came.


    I returned to the table I came from to discover even more statistics, this time a statistics theory course in second year of the maths degree. This student was struggling to come up with a linear regression proof which was pitched in the assignment using linear algebra. For this small part of the proof, he had to show that the columns of some matrix were linearly independent. I did what I always do with linear algebra proofs and helped him remember various definitions and facts relating to the vocabulary words in the problem, then we chose a representation of linearly independent from the list we had made. He commented that I go about proofs in a very different way to him, and I said I was merely following the problem-solving advice I had already put up in that big poster on the wall, see? In the end we finished with the moral that coming up with connections between things is a great way to solve problems and to study, even if it means ignoring the goal for a moment.


    I saw a student on the other side of the room that I had talked to months ago and I went to see how she was doing. When I saw her last, she was questioning her decision to study Statistical Practice I and indeed her whole decision to come to university at all, while simultaneously worrying about letting down her son who was the one who had urged her to come to university. Now she revealed she was systematically working her way through the course content so far, making sure she understood everything before classes returned and the last set of new content arrived. She asked if that seemed like a good plan and I said I was so pleased to see her making plans for her study and persevering with her course. I suggested she do some work soon to connect together the ideas in the different topics, since it’s the connections between ideas that will create understanding. I recommended a mind-mapping idea I had seen on Twitter recently (thanks Lisa).


    At the next table I came to, some students and one of my staff were having a discussion about function notation, in order to help a student in our bridging course. They were talking about how unfortunate it is that something like f(x) could be interpreted as multiplication in some contexts and function action in another. I agreed that it was unfortunate, but it was just the way maths language has come to work and it was too late to change it now. I related this to how the word “tear” is interpreted differently depending on context, which seemed to help everyone accept the fact, but not necessarily be happy about it! My staff member brought up how it’s made more complicated by the fact that we then write “y=f(x)” or even “y(x)=…”. I flippantly said that this was making a connection between graphs and functions, which is a whole separate discussion. Of course everyone wanted to hear more about this and suddenly I was giving a little seminar on the fly about function notation and graphs and the connection between them. I was keenly aware of everyone watching me, and of the choices I had to make with my words, especially when I made some mistakes along the way. Here’s more-or-less what I said [with some of my thoughts in square brackets]:

    There are many ways to think about functions, but one of them is that a function takes numbers and for each one it produces another number. [I thought about saying it doesn’t have to be numbers, but decided that was just going to distract from the discussion today.] It could be a formula that tells you how to get this other number, or there could just be a big list that says which ones produce which ones. For example, there’s a function which takes 1 and gives you 4, takes 2 and gives you 5, takes 3 and gives you 7, takes 5 and gives you 8. It’s the one that adds 3 to every number. The brackets notation is supposed to highlight that there’s a starting number and the function is a thing that acts on it to produce a result. So we could write something like “addthree(2)=5”. [I’m not sure what motivated me to write this. I’m sure I’d seen someone talk about this on Twitter somewhere, but anyway it seemed right at the time.] Sometimes we want to talk about the function as a thing in its own right so we give it a letter-name like “f” (for function) so that we can talk about it more easily. Or we only have some information about it but don’t know what it really is, so we can give it a letter name until we know its proper name. [I was reminded at this point about a Rudyard Kipling story featuring the origin of armadillos but chose not to mention it. I also thought here that I could have done another example earlier of a function acting like lookupthelist(2), but we’d moved further than that and I didn’t want to go back.]

    And what about the connection to the graph? Well you could draw a nice number line and write down what result each number produces. [I started drawing pictures at this point.] You could visualise this by drawing a line of a length to match the result attached to each number on the line. [I accidentally drew the lines representing the input numbers when I drew my picture, and had to go back and change them later. No-one seemed to mind that much.] You could have a ruler to measure how long each of these is when you needed it. Or you could attach the ruler to the edge of the page and line up the drawn lines with it. And now suddenly you’re locating the end of each drawn line by numbers on two axes. This is coincidentally just like the coordinate grid which is something else we’ve learned about before but not directly connected to functions. In the coordinate grid, the y refers to this second number and the x refers to this first number and you can describe shapes by how the x and y are related to each other. It doesn’t have to be y = formula in x, but that is a useful way to do it if you created your shape from a function.

    I think it was at about this point that I asked the students how they felt about this. My staff member said he quite liked the “addthree(x)” thing, which he’d never seen before. The bridging course student said that really helped her too, as well as realising that there were two different things happening at once when you write y=f(x). I decided to move on at this point.


    The next student was studying Maths 1B and was doing a deceptively simple MapleTA problem which he was stuck on. It listed an open interval – I think his was (-4,5) – and asked him to give a quadratic function with no maximum on this interval, a quadratic function with neither a maximum nor minimum on this interval, and a cubic function with both a maximum and a minimum on this interval. He had answers entered for the first two questions, which MapleTA had marked correct, but he wanted to know why. He revealed a little later he had gotten these answers off a friend and that now he wanted to know how to get them himself. I’m always glad when students do this, because it’s the first step to them really understanding themselves. With the first question, we discussed what it meant to be a maximum, and how that definition played out on an open interval. Once we had done this, I decided that I should take my own advice and make the question more playful, more exploratory. So I asked him what he would need to put in in order to make the answer wrong. He was really intrigued and started thinking through what the function would have to look like in order to have a maximum. After a while, he hit upon the idea that the leading coefficient could be negative, and this is all it would take. This was followed by several attempts to test his theory by putting in bigger and bigger constant terms in order to see if they really didn’t make a difference. They didn’t, and he was most impressed with himself.

    In the second part, we talked about moving the function around until the minimum wasn’t part of the domain. I went to get a plastic sleeve and drew a parabola on it in whiteboard marker, then asked him where he could move it to get what he wanted. At first he rotated it. I congratulated him for thinking creatively but did point out that it’s not the graph of a function like it was before. After that he only moved it up and down. Finally I gently moved it a tiny bit to the left, and he caught the idea that he could move it sideways, which he did until the turning point was outside the domain. The issue then came with how to change the function to do this, and we discussed why his friend’s solution was able to achieve it. Again he went playful and started putting in really big numbers and numbers really close to the boundaries to confirm that yes really he could move it anywhere outside that domain.

    Now we moved on to the third part and we discussed how cubics look and tried to figure out how to make the two turning points higher or lower than the end points. He wanted to use derivatives, so I let him do that, and it was quite a long journey, though he learned a lot about derivatives and specifying function formulas along the way.

    At the end, he asked if he had done all of this the correct way. I replied that it was definitely a correct way. He took this to mean there was a better way, and I said there was possibly a faster way. This meant a further long discussion about specifying zeros of functions and talking about whether we needed them to be zeros or if the function could be higher up or lower down. When we had finished this he asked me to explain the steps of this method again so he could write them down. I said that he didn’t need to remember the method because he’s never going to see this question again. The point is not to remember methods of solving all questions, but to learn something, and look how much stuff you learned today!


    Even though it was very close to my home time, I decided to talk to one more student. This one was doing a course specifically designed for the “advanced” maths degree students. He had been set a problem in Bayesian statistical theory. This is not familiar to me, so he spent a lot of time explaining what was going on to me. There were a whole lot of things in his working that I thought could be solved by simply referring to facts he had learned in previous courses, and I asked if he had done those courses. He revealed that they were in fact prerequisites for being allowed to do this course, at which point I said it was okay to use results from prerequisite courses. The biggest problem at the end was that he had assumed he had to integrate the normal distribution density function by hand, because the lecturer had gone to the trouble of giving its formula in the assignment. I assured him that it was in fact impossible to find areas under that distribution by hand, and he was allowed to use a table or technology. Sometimes you just have to tell a student what’s impossible so they can do it another way.



    So that was my day. I had three hours in the MLC and talked through so many ideas about learning and studying and maths. I had to make so many decisions about my words and actions and teaching tools. And I was left with a lot to think about. I hope you’ve found it interesting too.

  • Book Reading: Making Number Talks Matter

    Here is another post about a book I’ve read recently. This time, I’m writing about the book “Making Number Talks Matter” by Cathy Humphreys and Ruth Parker.

    (You can read this blog post and all other Book Reading posts in PDF form here. )

    In Cathy and Ruth’s words, number talks are “a brief daily practice where students mentally solve computation problems and talk about their strategies”. I had heard people talk about them before and how they are a powerful way to help students come to a better understanding of how numbers fit together and to develop their confidence. So I read this book in the hope of finding out more about what they are and how to implement them. My goal was to eventually use number talks to help make a difference to Science and Health Science students, especially those with little maths experience or only painful maths experiences.

    I have to admit to you now that I’ve been trying to write this post for a couple of weeks now and I’ve been having real trouble. I think it’s because I had mixed feelings about the book at the time, but that looking back several months after reading it I have different feelings now than I did back then. I think the easiest way to write the post is to talk about some of those feelings first.

    While reading the introductory chapters, I had such hope for the power of Number Talks. Cathy and Ruth talked about how much students need to talk about numbers and make sense of things, rather than follow algorithms without making sense, and inside I was saying “Yes!” and I was inspired to keep reading. When I got to the next chapter where they described the standard routine for Number Talks, I felt a bit let down. The directions said to get students to put away all paper and pens, to ask them not to talk and to put up thumbs to say when they’ve got an idea, then to share answers before asking for strategies. My knee-jerk reaction was to feel very restricted by these directions. Looking back later, I am drawn much more to the rationales about each step: that no paper helps to focus away from algorithms and towards sensemaking; that no talking helps students to form their own ideas; that answers before strategies helps to get answers out the way to focus more clearly on strategies later. Focussing on the rationales helped me imagine how I might decide to change some of these to match the needs of the students I might be working with.

    On that note, the next chapter on Guiding Principles for Number Talks was I think the most useful chapter in the whole book. I kept coming back to it while reading the rest of the book to ground myself again. Indeed, the later chapters on specific strategies for specific operations got me a bit bogged down and made me feel a bit like I’d lost my vision of what we were trying to do here. I needed the touchstone of the Guiding Principles to pull me out of that feeling of slogging through. I’m going to come back to this chapter and talk about it in more detail because I want to end with the best bit!

    The next several chapters talk about various operations and number types and the various strategies that we might hear students using or encourage them to use. I found this a bit heavy-going, partly because some of the strategies were not natural to me and so I couldn’t think to try to recommend them to anyone! In hindsight I think it’s really good that I read this before trying any number talks because I am pre-prepared in order to not be surprised too much when students do some interesting stuff. Also, as I flick through them now, I am somehow more able to see how each strategy might apply to my current students. I think maybe having all those strategies floating in my mind while I’ve spent a few months helping my students make sense of algebra and calculus has helped me see where these strategies for operations tie in with the later maths concepts. I do need to say that even upon first reading, a useful thing about these middle “operations” chapters were the many vignettes of number talks in action that slowly gave me a better idea of how the discussion part of the routine is implemented.

    My very favourite part of all of the middle chapters were the special number talks that appeared in the chapter on fractions, decimals and percentages. These ones had students not calculate an answer but decide which of two numbers was bigger, decide if a number was closer to 1/2 or 1, or to place a fraction on a number line. These really gave me a better idea of the possible ways of using number talks to promote sensemaking than any of the previous calculation number talk ideas. I suddenly felt free to consider more options and therefore free to give it a go.

    And then the book finished off with a chapter called “Managing Bumps in the Road”. This was another chapter that was really useful for helping me be brave to try it myself eventually. Based on the roadbumps mentioned here, I reckon one of the major dangers is losing sight of the important goals of number talks outlined in those guiding principles at the start. This chapter helped refocus my attention on what’s important and gave some ideas for how to refocus this attention on the fly too.

    Which brings me to the end of the book. It was in some ways not the easiest book to read, but I did learn a lot about sensemaking and strategies and managing discussions. And as I said, the guiding principles mentioned early on were a very excellent thing I was able to take away from the book. Most of them are applicable to most of my maths teaching and not just to the specific routine of number talks. As promised, here they are:

    Guiding Principles for Number Talks

    from “Making Number Talks Matter” by Cathy Humphreys and Ruth Parker

    1. All students have mathematical ideas worth listening to, and our job as teachers is to help students learn to develop and express these ideas clearly.
    2. Through our questions, we seek to understand students’ thinking.
    3. We encourage students to explain their thinking conceptually rather than procedurally.
    4. Mistakes provide opportunities to look at ideas that might not otherwise be considered.
    5. While efficiency is a goal, we recognise that whether or not a strategy is efficient lies in the thinking and understanding of each individual learner.
    6. We seek to create a learning environment where all students feel safe sharing their mathematical ideas.
    7. One of our most important goals is to help students develop social and mathematical agency.
    8. Mathematical understandings develop over time.
    9. Confusion and struggle are natural, necessary and even desirable parts of learning mathematics.
    10. We value and encourage diversity of ideas.

    Number 2 and Number 5 in particular shone out to me at the time as my guiding lights for day-to-day teaching even outside of number talks. (Though looking through them now, 6, 7 and 8 are right up there too.) Two specific quotes from this chapter make these more real to me and are a good place to finish:

    While we may have a good idea about how students are thinking, we don’t really know until we ask. Authentic questions keep the mathematical focus where it belongs: on students’ reasoning – not ours.  (pp26)

    No strategy is efficient for a student who does not yet understand it.  (pp27)


    These comments were left on the original blog post:

    Mark Pettyjohn 25 May 2017

    Your post reminded me of some conflicted thoughts I’ve previously had. The nature of which were about:

    Number Talks (TM) vs. number talks

    Four or five years ago I became aware of Number Talks via Sherry Parrish’s book. I got an overview and then dove in with my class. The results were amazing, for me and for them. I think the principles of what I saw happening were highly aligned with the principles outlined by Humprheys and Parker.

    Then something peculiar happened. I wanted to share with others the good things happening, so I went back to my Number Talks book (again, Parrish not Humphreys), and it all looked so stilted. I watched the accompanying videos and they looked little like what was happening in my classroom. It was more a teacher driving strategies to students rather than principles 1-7, 9, and 10 outlined here.

    So as I was reading your reticence to write this post, I was feeling my own reticence back then about sharing Number Talks (TM) with colleagues because I didn’t feel like it captured in practice or in spirit what we were doing in my classroom. There’s enough confusion around terms in education that I was hesitant to add to it.

    That’s partially why I asked on Twitter if you had seen or done any yourself. I’ve found that a number talk is not always a Number Talk (TM) and I would imagine that extends to what Humphreys and Parker have here.

    But I really like the principles outlined in your post, and I think that if you can look back at a number talk (with your own kid or with other students) and see those principles reflected, then you done good.

    Susan Jones 25 May 2017

    I share the reaction to restrictions. I remind myself that it’s only for that chunk of time and…. I think I’d break it every once in a while for people like me who think wth their pencils. I see that obsession with algorithms on our 5-math-question survey at the beginning of our “transitions” course for students, which asks what 4 and a half x 2 is. In several years we’ve seen 1 or 2 students answer it correctly while half the students attempt an algorithm (many leave it blank).

    David Butler 26 May 2017

    Interestingly, in the book they do do some number talks where they suggest to let the students have pencil and paper. I think you really need to be looking at what message you are sending today and whether not having paper is going to help.