What kinds of mathematical knowledge are necessary for full participation in contemporary democratic society? How well, and how fairly, do our schools educate students in quantitative skills and reasoning? By what measures might we judge success?

To put it another way, what would an equitable mathematics education system look like? In this post, I reflect on some articles published on this blog that support our efforts to move toward fairness.

A good place to start is in our own classrooms. Once we acknowledge the disproportionate distribution of access to mathematics experienced by our own students, we can make use of Six Ways Mathematics Instructors Can Support Diversity and Inclusion, by Natalie LF Hobson. One of the six ways is to “[e]ncourage your students to embrace a growth mindset,” which Cody L. Patterson explores in Theory into Practice: Growth Mindset and Assessment.

My seminar includes a service-learning project. As Ekaterina Yurasovskaya demonstrates in Learning by Teaching: Service-Learning in a Precalculus Classroom, such a project, while challenging on several levels, can benefit both the community being served and the students. If my own experience is any guide, the instructor can also gain some unanticipated lessons about mathematics learning in the early grades.

Attending to equity and inclusion is hard work. When I need to take a step back for an energy recharge, I go straight to contributions from Ben Braun, our founding Editor-in-Chief. His Aspirations and Ideals, Struggles and Realities is rich with inspirational ideas. I’ve assigned The Secret Question (Are We Actually Good at Math?) to my own students. It means a lot to them, and the resulting conversations are deep and illuminating.

Let’s not forget about the struggles our own colleagues may continue to face as they work within the flawed systems that Ben describes so well. A useful reading in this regard is Student Evaluations Ratings of Teaching: What Every Instructor Should Know, by Jacqueline Dewar. The author points out that “‘ratings’ denote data that need interpretation,” and gives useful guidelines for interpretation. While not focusing exclusively on the question of bias, the article does cite sources on that topic, including this study published in 2016.

Moving on to other aspects of our professional lives, Viviane Pons describes An Inclusive Maths Conference: ECCO 2016 . Having been to dozens of conferences, many of them quite worthwhile, I was fascinated by the intentional design details that made this one special, and wish I’d been there to experience it!

A simple Announcement of a Statement from the American Mathematical Society’s Board of Trustees reminds us that we can work toward the greater good within our professional societies.

While I’ve had plenty of my own “secret question” moments in a lifetime of learning mathematics, I recognize the benefits of mathematical habits of mind to me as an individual and as a citizen of the world. Those benefits should be available to everyone. We can all work toward that end, and I hope you’ve found some ideas here on how you might help.

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A popular saying in business (or so I’ve read) is to “eat your own cooking”: Use the products your own company makes. I suppose there are several motivations to do this: to demonstrate faith in your own work; to be your own quality control team; to make your product visible; etc. What does that have to do with teaching and learning mathematics?

The best part about being on the editorial board for this blog continues to be the privilege of working with a talented group of editors and with all sorts of creative authors, who collectively have an incredible variety of important things to say. (F. Scott Fitzgerald: “You don’t write because you want to say something, you write because you have something to say.”) As a result, I sometimes feel like I am drowning in interesting ideas, with not nearly enough time to try them all. Today I would like to tell you about the articles we’ve published here that contain ideas I’ve tried myself and/or shared with students and colleagues. In other words, to answer the question “What have I eaten of our own cooking?” Bon appétit!

Let’s start with ideas I explicitly share with students. Probably my biggest pet peeve with students is when they find the inverse of some function *y*=*f*(*x*) by first “swapping the *x* and *y* variables”. This is both mathematically and pedagogically unsound, as explained so completely by Frank Wilson, Scott Adamson, Trey Cox, and Alan O’Bryan in their article Inverse Functions: We’re Teaching It All Wrong. When my students make this mistake and, worse, see nothing wrong with it, I share this article with the whole class, and briefly summarize the ideas in class.

I also frequently share with students an article I wrote, One Reason Fractions (and Many Other Topics) Are Hard: Equivalence Relations Up and Down the Mathematics Curriculum. The more I look, the more I see equivalence relations throughout mathematics, causing hidden difficulties for students not just with fractions, but also with vectors, similar matrices, limits, and the difference between permutations and combinations. Beyond sharing this article with students, I keep in mind the difficulties caused when we need to work with equivalence classes as objects, so I can head off students’ confusion before it sets in.

Another article I use frequently for myself is Don’t Count Them Out – Helping Students Successfully Solve Combinatorial Tasks, by Elise Lockwood. I regularly teach Discrete Mathematics, and I now follow her advice to have students “focus on sets of outcomes” and not just the number of outcomes. I start each counting technique lesson by having students make a systematic list of all the outcomes. From the discussion that follows afterwards, some (not all) students understand and even sometimes figure out themselves the formulas that they will need to count such sets when they become too large to make an explicit list.

The article, Mathematics Professors and Mathematics Majors’ Expectations of Lectures in Advanced Mathematics, by Keith Weber made a big impression on me when it came out, and I have shared this one as well with students in proof-based courses. I probably need to review this article again, because I see myself slipping back to old habits, such as not writing down enough details of proofs, that I worked hard to reverse when I first read it.

More recently, I decided to give peer assessment a try, in an introduction to proofs course where I can’t give nearly as much individual feedback as the students need. I started with Elise Lockwood’s article Let Your Students Do Some Grading? Using Peer Assessment to Help Students Understand Key Concepts, and with the references it contains, to build out a system. In the end, it seemed that students learned more from when they assessed their peers than from the feedback they got when their peers assessed them.

Finally, a big part of my attitude these days towards students and mathematics comes from the idea of the growth mindset, that being good at mathematics (or other disciplines) is more a result of hard work than of any genetic predisposition. This idea is stated so beautifully in Ben Braun’s article The Secret Question (Are We Actually Good at Math?).

I invite you to revisit these articles, or browse the rest of our collection, to find a tasty morsel of your own from our kitchen of mathematics teaching and learning.

]]>I want to thank all of our readers, subscribers, and contributors — we appreciate your feedback and ideas through your writing, social media comments, and in-person conversations at mathematical meetings and events. We will continue to strive to provide high-quality articles on a broad range of topics related to post-secondary mathematics, and we welcome your feedback and suggestions. In this post I share two upcoming changes for our editorial board.

First, I will step down as Editor-in-Chief at the end of May 2018. I am thrilled to announce that Mark Saul will serve as the next Editor-in-Chief for *On Teaching and Learning Mathematics* starting on June 1, 2018. Mark has extensive experience in mathematics education at the K-12 and postsecondary level, both in the classroom and through outreach programs. He also has substantial editorial experience, including editorial service to the *Notices of the AMS*, *Quantum*, and *The Mathematics Teacher*.

Second, following four years of service as a founding Contributing Editor for our blog, Priscilla Bremser will step down from the editorial board in May 2018. Priscilla has made many excellent contributions to our blog, and I deeply appreciate her dedication, insight, and passion for improving the teaching of mathematics. I look forward to hearing more from Priscilla in the future as a contributing author!

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Sam: If I take one more step, I’ll be the farthest away from home I’ve ever been.

Frodo: Come on, Sam. Remember what Bilbo used to say: ‘It’s a dangerous business, Frodo, going out your door. You step onto the road, and if you don’t keep your feet, there’s no knowing where you might be swept off to.’

For many students, it is scary to be pushed to think differently about mathematics or to participate in a different type of classroom environment (for example, a flipped classroom, IBL classroom, active learning classroom, etc.). These new experiences create a certain level of discomfort in adapting to new styles and expectations, which makes it easy to pine for the comfortable ways that math has “always been taught.” Of course, this emotional response can be just as strong for teachers as it can be for students.

In the end, we want our students to gain a deeper understanding of mathematics. It can be easy to think we need to take every student on a grand adventure like the Hobbits in *The Lord of the Rings*, to show them how to battle (mathematical) orcs or dragons, and to bring them to a crowning achievement of casting the one ring (perhaps with unity) into the fires of (mathematical) Mount Doom. But maybe that isn’t what the students need, especially at the beginning of their college careers. Maybe they just need us to encourage them to go one step further in their mathematical journey than what they had previously thought was possible. In this post, I would like to highlight a few of my favorite articles that have centered on the theme of creating dynamic and supportive learning environments where students can get swept away in mathematical exploration and play.

Ben Braun wrote a brilliant article about using open problems as homework. I reread this post at least once per year and continue to find inspiration in it. If we want students to start thinking like mathematicians, and if we want to share the joy of mathematics with them, then why not show them problems whose solution cannot simply be found in the back of a textbook? Why not push them to think deeply about a problem on their own, rewarding them for the effort they have put forth rather than for getting the “right answer”? It is unlikely that anyone will solve an unsolved problem, but it is likely that someone will become more excited about mathematics.

Related to this theme of discovery, Lara Pudwell wrote about an experimental math course she has developed, where students take ownership of problems that they explore and investigate on their own. Students engage in a journey of mathematical discovery that is typically reserved for research experiences and get to see beautiful mathematics that does not always make its way into the undergraduate curriculum.

However, as Bilbo reminds us, we also need to teach students how to keep their feet beneath them through this new experience of learning mathematics. Jess Ellis Hagman shared important lessons on working with students from marginalized groups in an active setting, and Jessica Deshler shared practical tips about promoting gender equity in the classroom on the *MAA Teaching Tidbits blog*. Art Duval’s post on kindness is one of the most beautiful pieces I’ve read recently, reminding us that teaching mathematics is as much a human endeavor as a scientific one.

To me, these posts are inspiring because they show how to incorporate mathematical adventure into the student experience, while also reminding us that the journey is difficult and the road is tough for many students. Lessons of kindness and grace, coupled with an understanding of how to balance learning styles, personality types, and issues of identity within groups are important for creating a mathematical adventure that is engaging and inviting for *all* students.

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Several years ago, I was teaching a calculus course which included three students who were especially struggling with the material, in spite of regularly attending class. I have a distinct memory of one day, about two-thirds of the way through the semester, when one of these three students, “Nick” (a pseudonym), was the last to leave the classroom, and I thought, “I could do something.” I stopped Nick on his way out the door so we could talk about how he was doing.

I usually have about 50-100 students in all my classes combined, and it had been easy for me to fall into the passive habit of thinking, “I can’t watch out for all of them, and so they have to contact me if they are having problems.” I had always strongly encouraged students to visit me during my office hours, or to email or even call me at home, and I was always very happy to help students who did ask for help. Until then, though, it was their job to reach out to me, instead of the other way around. But not that day, when I stopped Nick on his way out of class. What led me to that point? And what did I do with that impulse afterwards? In a word: Kindness.

Earlier that year, two different people had forwarded to me the text of Francis Su’s powerful MAA Haimo Teaching Award Lecture, about grace in teaching. It was such an out-of-the-box way of thinking about teaching, that the most important part of teaching mathematics to students was not the mathematics itself, but the students. **Students deserve respect just because they are people, and not because of what they accomplish in the classroom.**

The following spring, at our campus’ annual teaching conference, I attended a roundtable discussion of interested faculty on the topic of Loving Kindness at the university; one of several focal points for the discussion was Francis Su’s article. Out of that roundtable grew an informal group of faculty and staff from a variety of departments who were all interested in these ideas. We began to meet for lunch monthly, initially mostly just sharing ways we had shown kindness to our students, and brainstorming how we could do more.

In the midst of hectic days, sometimes encountering colleagues who expressed less charitable views of students, it felt like an absolute oasis to join with these like-minded faculty and staff who also wanted to appreciate students for what they can do, and not what they cannot do. I was impressed by what some of my colleagues around campus were already doing in and out of their classes. One of our members told us how when students show up late to class, instead of making them feel bad, he would sincerely say, “I’m so glad you’re here.” Others ran food drives and helped homeless students, which is easier to incorporate into a sociology class than a mathematics class to be sure, but inspiring nonetheless.

By this point, I had already started to slowly experiment on my own with some things I could do to make more of a difference with students, and to embody some of what I had read in Francis Su’s article. For years I had done little bits of reaching out, by writing “Please see me” on exam papers of students who did poorly on the exam (and congratulatory messages for students who did well), but now I was determined to go beyond that. With the support and encouragement of the kindness group, I pushed myself further to make the extra effort to deliberately be kind to my students.

Around the same time, I became aware of the work by Carol Dweck (and later of that by Jo Boaler) on growth mindset, the idea that people are not born with fixed intelligence, but rather can develop skills through sustained effort. In particular, *every* student who will do the necessary work can learn mathematics. I cannot make students do this necessary work (and, as we will see, some of them have obstacles that have nothing to do with mathematics or their desire to work on it), but with my new focus on kindness I was now determined to reach out to each and every student to try to prevent them from falling through the cracks.

No single change I made was especially innovative or earthshaking, but the effect of each one was amplified by the others, and especially by my attitude. I kept in mind that my students don’t know everything already, especially about mathematics or how the university works (or else why were they there?); see the below wise cartoon. So what did I start to do differently?

**Redouble my efforts to value all student input during class:** I had already been using active learning in my classes for a long time, and so routinely incorporated student input. This often involves responding to student answers by focusing on the parts that are correct. (There is also value in highlighting mistakes.) But now I also paid attention to the effect this has on student attitude, and made sure students knew that I appreciated their response just because they were making an effort.

For some time, I’d been using index cards with each student’s name (and other information they provided) to be sure to call on students at random (and not fall victim to any conscious or unconscious biases I might have); now I used that technique more frequently, and asked for volunteers less frequently. Of course, this keeps students on their toes, but it also visibly demonstrates my belief in growth mindset and that every student can succeed. Also, I increased my awareness of, and sensitivity to, how students respond to being called on to share their ideas, including presenting homework in the front of the class. I try to keep the conversation positive, and any criticism, whether from me or from fellow students, must stay constructive and focus on the mathematics, not the person.

**Learning and using all my students’ names:** I had always learned the names of some of my students, especially the ones who participated more. But now I made it my mission to learn, and use, *every* student’s name. This was not easy for me, as I’ve never been good at remembering names or faces, which is why I’d never made the effort before. But I told myself that I have done difficult things before and, with some work, I could do this. Every semester I am not shy with how hard this is for me, as an opportunity to explicitly illustrate to students the idea of the growth mindset: Just as I believe all students can learn mathematics through dedicated work, even if it does not come easily to them, I can learn their names through dedicated work, even though it does not come easily to me.

And so I began to spend time studying our university’s student photo page for each class. I handed back all graded work individually, making sure to look each student in the face while saying their name. During the first exam of each course, I spent the entire time quizzing myself on names and faces, after asking student to make name placards, which I used to make a seating chart to help me with my self-quizzing. (I had heard this idea several years before, but had never before thought it was worth the effort it would take.) I began to use each student’s name *every* time I called on him or her, even if, at the beginning of the semester, I frequently had to start with “Remind me your name, please.”

**Sending email to students when they missed class:** I started to send email to students when they were absent from class, even though I generally do not require attendance for most of my classes. (Some learning management systems can automate this, but I find it easier, and more meaningful, to do it by hand.) In keeping with my mission of kindness, I try to phrase the message with a tone that is more helpful than derogatory: “Please let me know if you are having any problems, and if there is anything I can do to help.” About half of the students ignore (or at least do not respond to) these messages. But the others do, indeed, let me know their problems.

And while I had expected that they might have problems with mathematics and/or the class, I discovered that **many of my students have difficult lives**. They have problems outside of mathematics or school: family issues; medical issues; medical issues with family, including having to transport relatives to doctors or the hospital; mental health issues; transportation issues; and more. Intellectually, I knew this, but now I understood better. I became more impressed at how my students overcome their obstacles, and genuinely sad for the ones who did not. I could not help with most of these problems, but I could listen. And some students opened up a little more in response.

**Be (a little) more flexible about late assignments:** Knowing more about my students’ lives, and consciously working to respect their difficulties, made me more willing to bend deadlines for students with good excuses. Curiously, I have become more confident in deciding what is or isn’t a good excuse. Perhaps this is because I hear about problems with further advance notice; conversely, when I don’t, I know students had ample opportunity to let me know.

This is a good time to mention “kind” is not the same as “nice”. Being kind does not mean just giving everyone A’s, or assigning less work, or never criticizing; it does mean listening to students, respecting their lives, and responding accordingly.

When I started this journey, I made many of these changes mechanically, and had to work hard to keep kindness in the forefront of my brain. I sent absence email messages when I could, but not all the time, and had to remind myself to be sure to write things like “I’m sorry to hear your mother was sick,” because this sort of attention did not come naturally to me. But then two effects kicked in. First, the gratitude I got from some students for showing them extra attention and respect was a positive reinforcement for me to keep doing so. Then, responding with kindness became more instinctive and more comfortable. I found myself actually *feeling* sorry if a student’s mother had been sick. It became hard for me *not* to send absence email messages. My tone with students, in and out of class, grew more patient and understanding.

Kindness is certainly no panacea. Nick, the student whom I reached out to at the end of that calculus class some years ago, did not pass the course, and neither did the other two students I tried to pay more attention to that semester. But they did notice. Some students now respond to the absence emails with some variation on “Thank you for noticing. None of my other professors have ever shown this interest in their students.” As I’ve increased and intensified my kindness efforts, some students have written comments on my end-of-course evaluations that they appreciate what I do. This suggests that our attitude towards students matters to some of them as much as academic issues do.

But this doesn’t have to be an either/or situation, and kindness may even help, indirectly, with the academics. Since I have started working on kindness, it appeared to me that a few students made more of an effort in the course because of the attention I was paying to them and their issues and interests. I will continue to be kind to my students, though not because it will help them with mathematics, but because it is the right thing to do. What can you do today to show your students a little more kindness?

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Here at the University of Colorado Denver, we’re starting our fourth week of classes. One of the classes that I’m teaching this semester is the history of mathematics. As part of an NSF-funded grant, Transforming Instruction in Undergraduate Mathematics via Primary Historical Sources (TRIUMPHS), I’m mentoring a graduate student in the use of primary sources projects in the classroom. This is helping to sustain my intentionality with regard to my preparation as well as my choice of instructional practices. In this role, I have been pondering both how to be a good mentor as well as how to keep working to learn and grow in my own teaching throughout the entirety of the semester.

This has led me to return to some of our past blog posts that I found particularly helpful to read or write, which I want to share. Below are links to some of these past blog entries which focused directly on some aspect of classroom teaching practices, and that I want to use throughout the next few months to keep my energy level up for my teaching. I hope you can find something here to energize you as well.

The first is a link to the editorial board’s six-part series on active learning that appeared in 2015:

https://blogs.ams.org/matheducation/category/active-learning-in-mathematics-series-2015/

This was followed up by an article in the Notices of the AMS from February 2017:

http://www.ams.org/publications/journals/notices/201702/rnoti-p124.pdf

This next entry by Steven Klee at Seattle University focuses on how to encourage increased student interactions during group work by having them work together at the board:

https://blogs.ams.org/matheducation/2017/09/18/do-we-get-to-work-at-the-board-today/

One of my all-time favorites, by Art Duval at the University of Texas at El Paso, focuses on if telling jokes and making class humorous is really beneficial to student learning, or if it unnecessarily takes away precious time that the instructor and students have together:

https://blogs.ams.org/matheducation/2015/07/10/dont-make-em-laugh/

And, finally, a post from Allison Henrich at Seattle University, reminding us of the wonderful value of mistakes in the learning process, and sharing ideas of how to help students be comfortable with making and discussing mistakes in the classroom:

https://blogs.ams.org/matheducation/2017/05/01/i-am-so-glad-you-made-that-mistake/

As you progress through your semester, I hope you find something in these various posts to keep you energized and growing in your own practice of teaching.

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It persistently rises to the surface of your memory – that afternoon when you fell in love with a person or a place or a mood … when you discovered some great truth about the world, when an indelible brand was seared into your heart, which is, of course, a finite space with limited room for searing.Arthur Phillips,

Prague

It was my senior year of high school. I had spent the first half of my day taking the AIME exam. At the end of the exam, there was one problem that really intrigued me. I couldn’t stop thinking about it! It lingered in the back of my mind through lunch and gym class. When I got to my history class, I had an idea to start looking at small examples: what if there were only two houses on the street? Or three? Or four? Then I had an “a-ha” moment, which let me see a recursive pattern and ultimately led to the solution of the problem.

The joy I experienced at solving this problem was profound, and it still stands out in my mind, almost 20 years later, as a significant moment in my mathematical journey. I had had this insight that was completely new (at least it was new to me), and led me to solve a problem that was unlike anything I had ever seen before. It was exciting! It didn’t count towards my grade anywhere, but that didn’t matter. I had discovered something new, and mathematics had left an indelible brand on my heart.

My goal in this article is to examine this experience more carefully, along with the experiences of other mathematicians and scientists, to try to understand the “a-ha” moments that can be so powerful for our students. To gather data, I asked a large group of people, including high schoolers, academics, and people in industry to reflect on the following question:

Tell me about one of the first times you ever experienced joy or excitement at solving (or not solving) a math problem. When did this happen? Do you remember the problem? What made this experience so memorable?

In what follows, I will reflect on general themes that surfaced in the responses I received in the hopes that they can help us more deeply reflect on our own teaching. I am grateful to my friends and colleagues who shared their stories. Each one was exciting and inspiring in its own way, and I regret that I was not able to include an excerpt from each of them. I would love to hear about *your* stories of joy and mathematical discovery in the comments section below.

Several people commented that their moments of inspiration came from venturing into the unknown of the mathematical landscape. Sara Billey (University of Washington) reflected on the joy of solving her first research problem:

One day after studying almost everything known about the problem, I decided to close the books, put away the previously published papers, and pull out a clean sheet of paper. I asked myself “What could I prove that was not written?” I wrote down a formula that combined a fact I knew from the literature with the problem I was trying to solve. I asked if that formula could also be true. I sat there for a while and the proof came to me. I wrote it up in my notebook, and declared that a successful day. About two weeks later, I showed this formula to another student, who got inspired to write down another, related formula. He came back a few days later and said he could prove the conjecture if a third formula was true. Well, I had the feeling I could prove the third formula by putting a bunch of things together. Sure enough, my rather intricate proof worked! It was a very exciting time, and I got to be a part of it because I forced myself to close the textbooks and ask myself a question beyond what was already written.

Matthias Beck (San Francisco State University) echoed these sentiments, writing:

I vividly remember the first original research problem I solved. I knew the literature well enough by that point that I was pretty sure that my theorem was novel, and that caused a certain sense of excitement: the thought that at this point in time nobody else had ever scribbled down what was written on my pieces of paper.

The power of making one’s mark on the mathematical landscape by discovering some fact that was previously unknown to the world is no doubt significant. The feeling of accomplishment that comes with a new research discovery has affected researchers at all levels, from undergraduate REU participants to established researchers.

On the other hand, this venture into the unknown need not be predicated on a research experience. A problem does not need to be new to the world in order for its solution to be meaningful; it just needs to be new to the student. Another respondent recalled her first memorable problem:

The problem was as follows: a pencil costs X, an eraser costs Y, and a pen costs Z. Can you buy these items in such a way that the total cost is M? The point of the solution was that X, Y, and Z were divisible by 7, but M was not. I was eleven at the time. It took me a few hours, but then it finally hit me how to solve it. I felt so excited when I finally got that “a-ha” moment.

In many cases students were moved because they had a sense of ownership of the problem and its solution. It is easy to feel a sense of ownership in research where we write papers with our names on them and other people refer to our results, but this same feeling can be fostered in the classroom. Dylan Helliwell (Seattle University) reflected on proving that the bisectors of a linear pair are perpendicular in his high school geometry class:

I couldn’t immediately put my finger on it, but this problem felt different than the others. I realized that I wasn’t solving for the measure of an angle or showing two things were congruent. I was establishing a new general fact! I was creating new mathematics! (Well, not really. Presumably the author of the textbook knew it was true, too.)

He went on to reflect more about the nature of this problem:

The statement wasn’t immediately obvious. I had to review the precise definitions and draw some examples before I believed it. Then I had to figure out the actual steps to prove it. We were using a “two-column” structure for our proofs and my proof took 31 lines! This was so much more than any of the other problems, and in the end I knew it was correct because I had proved it!

As with many research problems, this experience was significant because the student was challenged to do more than he had been asked to do before. The discovery was genuine *to him*; was new *to him*. His 31-line proof was *his proof*, and the work was meaningful because he had to think of how he could most meaningfully convey the information in those 31 lines. Tim Chartier (Davidson College) reflected on a similar experience in proving that there are infinitely many primes:

We were asked, prior to seeing the proof, to make an argument as to why we might and then why we might not have infinitely many primes. Could we run out of primes? Or, if we have some finite set of primes, is some integer large enough such that we need some new prime to form its prime factorization? Even today, I remember where I sat on campus as I pondered these thoughts. That evening, we worked on a proof of infinitely many primes in preparation for the next day’s class. In class, we developed the short proof. It was like a haiku of mathematics – elegant and focused.

This story inspires two important lessons. First, the students were not told to prove there are infinitely many primes. Instead, they were presented with the question of “are there infinitely many primes?” and asked to explore the meaning of that question. Second, the students first came up with their own proofs, and in the next class they were presented with what Erdös would call the “Book Proof” – the elegant proof that cuts to the core of mathematics. However, there was pedagogical value in this struggle against mathematics and in coming up with *a proof*, even if it was not *the proof*, because it was *their proof*. The students had ownership of the experience.

Many people who found inspiration in proving a theorem or solving a hard problem echoed a sentiment of joy in the realization that there was more to mathematics than rote calculation. José Samper (University of Miami) said

The first problem I remember enjoying was during a math competition in 8^{th}grade. I remember it well: There are 100 people on an island, some always lie, the rest always tell the truth, the islanders all know who lies and who tells the truth. A reporter comes to the island, lines everybody up, and asks the N-th person if there are at least N liars. Everybody answers “yes.” How many liars are there?

This problem made me realize that math could be more than a bunch of dull computations.

I was surprised to learn that several people had deep learning experiences as a result of rote computation. Rachel Chasier (University of Puget Sound) recalled learning her times tables:

After computing the multiples of 9 by hand, I quickly devised my own algorithm: to compute 9*N, put N-1 in the tens place and 9-(N-1) in the ones place so that the digits sum to 9. I tried explaining this to my friend, but it only made them more confused. This was one of the first times I realized I was thinking about math differently than other people and that I had a mathematical mind.

Similarly, Luke Wolcott (Edifecs Software) recalled

In early elementary school we learned about long division, and this set off a competition with me and a friend to divide the biggest numbers we could manage. I remember the passion with which I filled a 8.5 x 11 sheet, the long way, with a really big number, then drew the division bar over it and to the left, and came up with a (shorter) number to put on a piece of paper to its left. I remember the joy I felt when I realized that a list of the first nine multiples of the divisor would be very helpful, and reduced this enormous long division problem into repeated comparison and subtraction.

And finally, Lucas Van Meter (University of Washington) added

When I was in 8^{th}grade I wrote down all the squares and took their differences. I was surprised to find they were all odd. Then I took the differences of the differences and was amazed to find they were all two. Then I decided to do the same thing with cubes and finally found the differences of the differences of the differences were all equal to six. What makes this memory stick is that it was one of the first times I made a mathematical discovery on my own with no outside intervention. It felt like a personal discovery of my own.

I was surprised by these three reflections because we tend to hear that students dislike mathematics because it seems like a bunch of rote, boring computations, while these stories all seemed to stem from that rote computation. But perhaps this shouldn’t be so surprising. The important takeaway seems to be that the inspiration stemmed from discovering something new as a result of playing with all the mathematics they had at their disposal.

Finally, a number of people recalled the feeling of being struck by the simple elegance of a solution to a problem they had failed to solve. Jonathan Ke (Kamiak High School) recalled:

One day, my dad showed me a book filled with mathematical puzzles and questions, one of which was to add up the numbers from 1 to 100. I found a calculator, plugged in as many numbers as I could, got bored, and gave up. Then my dad showed me a video of how Gauss found the sum. I was amazed at the trickery he used and the mathematical explanation of why it worked. I realized that math is far more than just bunch of formulas that I choose to plug-and-chug and get an answer. It is far more complicated and beautiful.

Similarly, a colleague who works in industry wrote:

It was actually a simple problem if you knew trigonometry, but at that time I didn’t (I was in seventh grade). The obvious way to find the angles didn’t work, and I had no clue how to solve it despite a lot of effort. It turned out to be a proof by picture – just a picture – but once the teacher drew it, it was like a bright light at noon right after a pitch black midnight. The discovery was meaningful because it was the result of suddenly and deeply understanding something that you couldn’t understand before…there was joy in transitioning from being hopelessly clueless to knowing. It was one of the first times I saw that you could understand something, but first you had to make it more complicated.

In these stories, we see that failing to solve a problem can also lead to a meaningful experience. Again, the important aspect of these stories seems to be that the students had time to play with the problems first. They devoted considerable efforts to solving the problem, which led to a deeper appreciation of why the ultimate solution was so elegant.

What should these stories mean to us as teachers? On the one hand, many of them contain ideas that are prevalent in leading teaching philosophies:

- We should work to make it clear that mathematics is more than a set of arbitrary rules that govern mindless computations.
- We should create an environment in which students are encouraged to explore and share their ideas, ranging from observations about multiplication tables to new ideas about unsolved problems.
- Students need time to explore and struggle with ideas on their own before they see an elegant and perfectly rigorous solution to a problem.

So how do we do this? Some of these issues have been addressed in this blog and in other places, while others present ongoing issues to be overcome:

- How do we create a grading system in which students can be rewarded for working on a difficult problem as opposed to getting the “right answer”?
- How do we empower students to view themselves as creative problem solvers as opposed to human calculators?
- How do we assign interesting, substantive problems whose solutions cannot be found through a simple Google search?
- In many instances, people were inspired by mathematical explorations of their own design, not by problems that had been assigned to them. How can we foster this type of exploration in the classroom?

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It is commonly understood that graduate students need guidance and mentoring, especially as they begin the research phase of their studies with an advisor. A less-frequent topic of discussion is the guidance and mentoring that new doctoral advisors benefit from as they take on this unfamiliar responsibility. For many, if not most, mathematicians working in doctoral-granting departments, training and mentoring in how to be an effective advisor is done in ad hoc and informal ways. As a result, many new doctoral advisors work in some degree of isolation as they develop their advising styles.

In this article, I offer five suggestions for new doctoral advisors, suggestions that I believe make the advising process both more enjoyable and more effective. Knowledge of these suggestions can also be helpful for doctoral students, providing ideas of questions that might be helpful for them to ask their advisors.

**1. Ask About Student Career Goals Throughout the Advising Process**

It is critical for advisors to respect and support the long-term goals of their students, even when they differ significantly from what the advisor envisions as a successful career in mathematics. The range of career paths for PhD mathematicians is varied and growing, with connections to academia, industry, business, and government [1,9]. Further, the academic job market is in a state of major change and disruption [2,3]. While many graduate students begin their studies with the goal of becoming a faculty member, and while an academic career remains a reasonable goal for many current students, it is important to make sure students are aware of the reality of the mathematical job market and are informed sufficiently to make a purposeful choice about how they want to approach goal-setting.

The best way to handle these important issues is to begin the advising relationship by explicitly asking students about their career goals, discussing a range of possible goals (students do not have to pick only one possible goal!), and helping the students obtain access to any resources they need to pursue them. I have found it helpful to return to this conversation every 9-12 months, since goals often change as students gain experience and a broader vision of the mathematical community.

The critical ingredient in all of this is for advisors to ask their students a variety of questions to get a solid sense of where students are coming from, and to respond to student ideas (even if they seem undeveloped or naive) without judgement. I have personally found it surprisingly difficult to do this well — I find it reassuring to know that this is a challenge for advisors and supervisors in every field [10].

**2. Explicitly Agree on Expectations and Advising Style**

Many graduate students do not have a clear idea what to expect from the student/advisor relationship. While I have sometimes heard mathematicians complain about the ill-informed ideas or inexperience of graduate students, *this is not a deficiency on the part of students*. How are graduate students expected to acquire detailed knowledge of the graduate school experience if they are not from families that include academics or doctoral graduates? Further, how is anyone supposed to intuitively understand the expectations of a specific advisor?

It is the responsibility of each doctoral advisor to start a discussion with their students about expectations and advising style, and it is the responsibility of the student to be fully engaged in this discussion. A clarifying framework for conceptualizing advising styles can be found in the work of Gordon B. Davis in his article “Advising and Supervising” [5]. This framework describes advisor and student responsibilities for five styles: Strong master/apprentice style, Collegial master/apprentice style, Collegial development style, Guidance and suggestion style, and Passive Hands-off style. These styles are described in detail in the table provided in the Appendix below, taken from [5, Table 1]. It is reasonable to expect that at the start of the advising period, each advisor and each student will have a preferred style, possibly distinct. It is important that both students and advisors are aware of these preferences and that they are openly and clearly communicated.

It is important to observe that an advising style *does not have to be fixed* for the entire period of graduate study for a student. For example, in my own doctoral advising, I tend to start out in the Collegial Master/Apprentice or Collegial Development style (as described in the Appendix rubric) and shift over time to the Guidance and Suggestion or Passive Hands-Off style as my students mature mathematically. I do not use these phrases exactly with my students; instead, once my students have completed enough mathematical work for a complete thesis, I tell them that they should shift gears and operate more independently, pretending they are a postdoc or new faculty member. I also tell them the goal is to gain some experience in this regard before they officially start one of these roles (so far all of my students have had academic goals).

**3. Agree on a (Tentative) Plan and Review it Regularly**

Just as it is helpful for tenure-track faculty to have clear expectations regarding their tenure requirements, it is similarly helpful for graduate students to have a sense of the “trajectory” their advisor expects them to have. The best way to achieve this is to lay out a few key goals in a target timeline that is developed in collaboration with the student.

Here is an example of what I would do in one particular situation. Suppose I have a new doctoral student who has completed their written exams by the end of their second year (which is common at my institution), and who has a career goal of getting a job at a teaching-focused academic institution with reasonable but not extensive research/scholarly expectations (this career goal is also common at my institution). In such a situation, I use the following target timeline as a starting point for discussion.

Overall goal |
Graduate in May or August of fifth year — I make sure students understand that the reason for this is that at my institution, support is generally given through the end of the sixth year. Thus, in case of delays of any type, e.g. unlucky research setbacks, poor outcome on job market, etc., this provides a “backup” year that can be used if needed. |

Fall of third year |
Prepare for oral qualifying exam |

Spring of third year |
Complete oral qualifying exam, begin work on specific research problem (if not already started) |

Summer of third year |
Consider attending a summer school/program/workshop if any are available |

Fall of fourth year |
Evaluate research progress, decide if original research problem is leading to adequate progress, change problems if needed |

Spring/Summer of fourth year |
Have enough research completed to constitute a thesis the following year, write and submit one or two papers prior to beginning job search |

Summer of fourth year |
Consider attending a summer school/program/workshop if any are available |

Fall of fifth year |
Focus on job search, continue work on research |

Spring of fifth year |
Dissertation defense |

This particular timeline is not meant to be prescriptive for other new advisors, because it reflects my own advising style, the norms for my institution, the norms for my research area, etc. Rather, this timeline is meant to illustrate the level and depth of planning that I am suggesting is helpful to explicitly discuss with students. Laying out concrete goals (complete oral qualifying exam, complete first research project, etc.) gives graduate students a clear vision of what is expected from them, enabling them to better evaluate their progress through the program. Through revisiting and revising the tentative plan every 8-12 months, with input from *both* advisor and student, the planning process can be a positive and collaborative experience.

**4. Be Mindful of Mental Health Issues and the Culture of Brilliance**

As students engage in research and develop as independent scholars, it is normal for them to experience significant self-doubt and psychological setbacks. Unfortunately, these ordinary challenges are often experienced in isolation, or are amplified through a feedback loop in which their academic peers reinforce shared negative feelings instead of providing positive support. Risk of depression and mental illness is unusually high among doctoral students; however, the authors of [11] state that “research on graduate students has also shown that the quality of the advisory relationship is a significant predictor of depressive symptoms.” While mental health issues obviously involve many variables that are independent of the actions of advisors, there are concrete steps we can take to positively affect the mental health of our students.

Two of these steps are to set clear expectations and engage in collaborative long-term planning, as described in the previous two sections. As stated in [12] by the authors of [11]:

“When people have a clear vision of the future and the path that they are taking, this provides a sense of meaningfulness, progress and control, which should be a protective factor against mental health problems.”

Another step we can take is to explicitly reject the “culture of brilliance” that is frequently found in the mathematics research community [8,13]. I like the following lighthearted but on-point quote from Anne Bruton [4]:

“You do not need to be a genius to do a PhD. It certainly helps if you are bright, but some surprisingly unbright people seem to pass. The main characteristic you need in spades is ‘stickability’ — a ‘never give up’ attitude, and a willingness to suck up all problems that come your way (and they will), and find solutions to them.”

In mathematics, it is common for researchers to feel that an innate brilliance is required to be successful, even when those same researchers acknowledge that persistence and effort play a critical role. Thus, seemingly innocuous comments about “brilliant” people and “genius” ideas are ordinary and unremarkable in mathematics. In my experience, this leads to a lot of unnecessary self-doubt and loss of self-efficacy on the part of doctoral students. As indicated in [13], this culture of brilliance is also a barrier to having an inclusive and diverse research community. We must actively counter this; it is not sufficient to assume that if “we” don’t talk about this, then our students are not impacted by this facet of our culture.

A final step we can take is to show kindness and grace to our students, a topic on which Francis Su has written eloquently [7].

**5. Ask Others for Advice and Resources**

Finally, in order to help support our students, it is important that we are supported ourselves. To the greatest extent possible, new doctoral advisors should seek out trusted mentors and colleagues, whether at their own institution or elsewhere, for advice and suggestions. While some departments have effective mentoring programs, others have few formal support mechanisms in place, and junior faculty can be left in the position of needing to seek out help independently. For any faculty in that situation, reach out to others as much as possible — at every stage of our career, we each benefit from mentoring and support.

**Acknowledgements**

Thanks to my own doctoral advisor, John Shareshian, for always caring about the well-being of his students personally as well as mathematically. Thanks to Carl Lee, my mentor when I was an Assistant Professor, for his guidance when I was a new doctoral advisor. Finally, thanks to my current and previous doctoral students, all of whom have made my mathematical work more meaningful.

**Appendix: Rubric of Advising Styles**

Style |
Advisor Role and Behavior |
Student Role and Behavior |

Strong master/apprentice style | Advisor is master. Advisor has a well specified domain of expertise and set of problems within it. | Student is an apprentice working for the advisor. Student works on advisor’s problems. |

Collegial master/apprentice style | Advisor is expert who limits advising to problems that are within scope of his or her research skill set but will work on student’s problem. | Student develops a problem within advisor’s domain and skills and works under the advisor to develop the research plan and procedures. |

Collegial development style | Advisor is senior colleague who will respond to student research problem and extend his or her advising domain to include new problems and new skills. | Student takes initiative to introduce new problem that requires new skill set and works as a junior colleague with advisor in joint development of new domain. |

Guidance and suggestion style | Advisor is a senior colleague who gives good general guidance over a wide range of problems and methods but does not have personal skill in all of them. | Student is an independent, junior colleague who takes initiative for presenting problems and research plans for discussion and guidance. Student develops required skills. |

Passive hands-off style | Advisor has quality control role and responds only to requests or documents and performs only general quality control review. | Student is an independent researcher who takes initiative for developing problem, developing skills, and presenting research plans for general review and approval. |

**References**

[1] “Math PhD Careers: New Opportunities Emerging Amidst Crisis.” Yuliy Baryshnikov, Lee DeVille, and Richard Laugesen.* Notices of the American Mathematical Society*, Vol 64, No 3, March 2017, pp 260-264 http://www.ams.org/publications/journals/notices/201703/rnoti-p260.pdf

[2] “Survey on Math PostDocs.” Amy Cohen, Letter to the Editor, *Notices of the American Mathematical Society*, Vol 64, No 6, June/July 2017, pp 541 http://www.ams.org/publications/journals/notices/201706/rnoti-p540.pdf

[3] “Disruptions of the Academic Math Employment Market.” Amy Cohen. *Notices of the American Mathematical Society*, Vol 63, No 9, October 2016, pp 1057-1060 http://www.ams.org/journals/notices/201609/rnoti-p1057.pdf

[4] “Dear new PhD student — a letter from your supervisor.” Anne Bruton. Weblog, https://anniebruton.wordpress.com/2013/09/21/dear-new-phd-student/ Retrieved 19 December 2017.

[5] “Advising and Supervising.” Gordon B. Davis. In *Research in Information Systems: A handbook for research supervisors and their students.* Butterworth-Heinemann, 2005. Preprint at http://misrc.umn.edu/workingpapers/fullpapers/2004/0412_052404.pdf

[6] “Advice to a Young Mathematician.” Sir Michael Atiyah, Bela Bollobas, Alain Connes, Dusa McDuff, and Peter Sarnak. In *The Princeton Companion to Mathematics*, Ed. Timothy Gowers. Princeton University Press, 2008. http://assets.press.princeton.edu/chapters//gowers/gowers_VIII_6.pdf

[7] “The Lesson of Grace in Teaching.” Francis Su. Weblog, http://mathyawp.blogspot.com/2013/01/the-lesson-of-grace-in-teaching.html Retrieved 22 December 2017.

[8] “Belief that some fields require ‘brilliance’ may keep women out.” Rachel Bernstein. *www.sciencemag.org*, 15 Jan 2015. http://www.sciencemag.org/news/2015/01/belief-some-fields-require-brilliance-may-keep-women-out Retrieved 22 December 2017.

[9] National Research Council. *The Mathematical Sciences in 2025*. Washington, DC: The National Academies Press, 2013. http://www.nap.edu/catalog/15269/the-mathematical-sciences-in-2025

[10] *Humble Inquiry: The Gentle Art of Asking Instead of Telling*. Edgar H. Schein. Berrett-Koehler Publishers. 2013.

[11] “Work organization and mental health problems in PhD students.” Katia Levecque, Frederik Anseel, Alain De Beuckelaer, Johan Van der Heyden, Lydia Gisle. In *Research Policy,* Volume 46, Issue 4, 2017, Pages 868-879, ISSN 0048-7333. http://www.sciencedirect.com/science/article/pii/S0048733317300422

[12] “Ph.D. students face significant mental health challenges.” Elisabeth Pain. *www.sciencemag.org*, 4 April 2017. http://www.sciencemag.org/careers/2017/04/phd-students-face-significant-mental-health-challenges Retrieved 24 December 2017.

[13] “Expectations of brilliance underlie gender distributions across academic disciplines.” Sarah-Jane Leslie, Andrei Cimpian, Meredith Meyer, and Edward Freeland. *Science*, Vol. 347, Issue 6219, pp. 262-265. http://science.sciencemag.org/content/347/6219/262

I’ve often thought that we could do a lot better job of explaining “advanced” mathematics concepts in simple language for the benefit of a wider audience. As a student, I never liked being told, “We’ll explain that to you next year.” As a teacher, I’ve always wanted be able to give real answers to students’ exploratory questions: if a Calculus I student asks me a question whose precise answer requires knowledge of manifolds and de Rham cohomology, I want to be able to distill those ideas into an answer that this student can understand. Also, I’ve always enjoyed the challenge of telling non-mathematicians about Euler’s formula, or voting theory, the Four-Color Theorem, or the game of Nim. I have experimented with trying to explain my own research in algebraic combinatorics to an intelligent layperson.

For example, I recently coauthored a paper with the intimidating title “Oscillation estimates of eigenfunctions via the combinatorics of noncrossing partitions”, which is full of extensions of eigenfunctions, fractional Schrödinger operators, Kreweras complementation, and similar jargon. I summarized it like this: “My coauthors study partial differential equations, which model things like fluid flow and heat dispersion. They draw pictures that look like tangled-up spaghetti, then try to measure the complexity of the equations by counting the holes in the tangle. Well, counting is what I do for a living, and when I saw their pictures, I was able to use what I know about counting to help them solve their problem.” Sure, that’s sweeping a whole lot of things under the rug, but really, that’s what we were doing.

And that is how I ended up editing articles about mathematics for kids.

Frontiers for Young Minds is an online, open-access scientific journal. Authors write articles about topics they are experts on and submit them to the journal; the editor assigns a reviewer to read the article and submit comments, and works with the author to address them, and ultimately makes a decision about publication. Sounds familiar, right? There is one big difference. At this journal, the articles are *not* peer-reviewed. They are *kid*-reviewed. As you may have guessed from the title of the journal, the target audience consists of kids (ages 8-15), and who better than a prospective reader to tell the author what is working and what needs to be fixed?

I heard about Frontiers about a year ago from a biologist friend. The journal was founded in 2013 and has several established sections: Astronomy and Space Science, Biodiversity, Earth and its Resources, Health, and Neuroscience. Where was the Mathematics section? I wrote to the editor-in-chief (Robert Knight, a neuroscientist at UC Berkeley): “Why isn’t there a section on mathematics?” I got the response I expected: “Why don’t you start one?” Since then, we’ve put together a board of editors and Science Mentors (who assist the reviewers) from all area of mathematics for this newest section of the journal, which we’re calling Understanding Mathematics. We are about to publish our first article, on game theory, and we are encouraging submissions. I hope that you will consider contributing.

**How can I get involved?**

Write an article! Join the editorial board! Be a Science Mentor! Please! But especially, write an article — we need content!

**What makes a Frontiers article?**

They fall into two categories: “Core Concepts” (think Euler’s polyhedral formula, or the infinitude of the primes) and “New Discoveries” (your latest research breakthrough). Articles are short (2000 words, approximately 4-5 pages) and should be fairly self-contained. It is okay (even encouraged) to suppress all the technical details; remember who the audience is.

**Why should you write an article for Frontiers?**

Because mathematics is fun and interesting and beautiful. If you’re reading this blog post, you know that. But you also know that non-mathematicians frequently perceive mathematics as tedious and boring and hard. And a lot of that attitude probably starts around ages 8-15 or so. So let’s try and change that. Why don’t we try explaining something wonderful like Euler’s polyhedral formula, or why there are exactly as many even numbers as counting numbers, or why there are infinitely many primes, or what the fourth dimension looks like? Why not communicate to kids that mathematics is a living subject, that we are constantly making new discoveries — think Fermat’s Last Theorem, the Poincaré Conjecture, the twin primes problem, or your own most recent paper?

**How do I write for this audience?**

Most of us mathematicians and scientists are used to an audience of fellow experts, even specialists. We write for readers who share our background knowledge and speak our lingo. We assume that they are comfortable with definitions, proof techniques, fancy notation, and all the other tricks of the trade. Writing an article that will be intelligible to 8- to 15-year-olds — especially the young end of this range — requires different strategies. The Frontiers editorial staff has a whole lot of suggestions about how to write for this audience. Here are some highlights:

- “The goal is not to explain as much of your work as can possibly fit within ~2000 words, but rather to craft a clear and self-contained explanation that covers all that a novice reader for your target age group might need to be able to understand your work.”
- “If something is exciting, convey that excitement. If something is important, say exactly why it is important rather than burying that value within a paragraph of inferences and implications.”
- “Unlike an academic abstract, which is meant to serve as a dispassionate summary of the academic content within an article, these abstracts are meant to draw readers in.”

Indeed, aren’t these principles are just as valid in communicating to our colleagues and our students as they are in writing for young readers?

**What’s a Science Mentor?**

Science Mentors work directly with the young reviewers to explain what peer review is, guide the reviewers in reading and critiquing the submission, fill them in on any mathematics or science background they need, and act as the reviewers’ advocates in the next stages of the editorial process. If you’re a graduate student or a postdoc, this is a great way to get involved with Frontiers for Young Minds.

**What’s the review process like?**

Well, it’s similar to a “standard” journal: author submits article, reviewers give feedback, author revises article, and the process repeats until everyone is happy with the final version (as the shampoo bottle says, “lather, rinse, repeat.”). One difference is the interactive review forum, in which the author, the handling editor, and the Science Mentor (acting as the reviewers’ advocate) can communicate directly about revisions. Some articles are reviewed by one or two kids, some by an entire classroom. Sometimes the kids can be disarmingly frank (here’s one quote I like, from some years ago: “This seems important, but the way it is written is so boring I can’t even get to the end. Could the authors maybe sound excited about what they are doing?”)

David McAdams, the author of our first article, had this to say about the review process:

“The kids’ feedback is surprisingly helpful. Part of this is due to the Science Mentor, who elicits the most useful comments and then filters what the kids have to say, but I think it’s also due to the fact that the kids work as a team in reading and evaluating the paper. It’s as if an entire research group studied and debated your paper before preparing a jointly-authored referee report — much more useful and effective than the usual model of sole-authored reports.”

Even with authors and editors who are trying in good faith to write an article that is self-contained and readable by 8- to 15-year-olds (or a subrange of ages), it is easy to make incorrect assumptions about readers’ background knowledge. Sometimes these assumptions can be quite subtle. We need the reviewers to pinpoint these issues for us. It’s one thing to ask yourself how a 10-year-old reads; it’s another thing to *be* a 10-year-old. David McAdams reported that the kids, through the Science Mentor (graduate student Amanda Wilkens), had given him some crucial feedback: there wasn’t *enough* mathematics in the article. “I had gone a bit overboard in terms of being non-technical, to the point that mathematical arguments didn’t actually seem like math! I corrected this by adding a specific example with numbers, and the paper is much improved as a result.”

I not only hope that the journal will be a resource for kids who want to learn about mathematics, but also that writing a Frontiers for Young Minds article will be a rewarding experience for authors: here is an opportunity to communicate your work more broadly, not just for fellow specialists. Scientists who have submitted articles to the journal often tell the editors how anxious they were to receive the kids’ feedback: it can be a challenging task but a very satisfying one. (One author told us that he was pleased to have written an article that people might actually read!) I hope you’ll consider helping us grow by submitting an article on your favorite topic of mathematics.

]]>Mathematics is a beautiful subject that can easily become an ivory tower. There can be a temptation for teachers and students of mathematics to shy away from the role that mathematics plays as a social force and a barrier that can put a halt to a person’s career, security, and social mobility. The mathematics education community has been studying this situation for years – for example, see this article by Rochelle Gutierrez [1]. One way to include a focus on society and its problems in a mathematics classroom is by introducing service-learning into one’s course.

Service-learning is a pedagogy that combines the course content with community service that is directly tied to the material that students are studying inside the classroom. Service-learning has traditionally belonged to the domain of social sciences such as psychology, sociology, or social work, however interest in service-learning has recently increased in STEM disciplines as well. A special issue of PRIMUS [2] was entirely dedicated to mathematical service-learning projects; an interested reader will find a wealth of helpful practical information and project descriptions there, from math fairs and tutoring to running modeling projects for community organizations. In this post, I would like to share with you my own experience with service-learning, its effect on my students’ worldview and mathematical knowledge, as well as offer some suggestions for the instructor who would wish to introduce service-learning into a math course.

When I first learned about service-learning four years ago, I immediately wanted to try it – and my initial motivation was practical. Precalculus students are a mathematical population at risk. Weak algebra preparation invariably hinders progress of STEM students, and severely affects performance in Calculus, a major junction in the leaky STEM pipeline. As teachers, we know that one of the best ways to learn something is to teach it ourselves: “I hear and I forget. I see and I remember. I do and I understand”. This led me to ask myself: “What if university students in my classroom had to teach algebra prerequisites to someone else? Will it help them learn and understand that material themselves?”

Since 2015, I have implemented service-learning as a component of one of my winter precalculus classes, each section numbering 21-25 students. In addition to the regular lecture-homework-tests-problem-solving part of the course, students spent 2-3 hours each week tutoring mathematics to students in the community, an urban environment with a large immigrant and refugee population. In the past three years, students have served in local middle schools, a high school, a community college, and an elementary school. My goal was to place students at or above the middle school level, so that the mathematical content would be sufficiently challenging; the option to tutor at the elementary school was reserved for exceptional situations.

At the end of the course, I saw interesting results in my students’ course performance. During the first iteration in 2015, I saw a reduction in fundamental mistakes made on the final exams between service-learning and regular sections. Another time, a less-prepared service-learning group caught up in exam performance with the initially stronger regular section, and demonstrated a positive shift in beliefs about importance of conceptual understanding in mathematical problem-solving. The full description of the first iteration of the service-learning experiment and its results appeared in the RUME XIX Conference Proceedings [3].

In general, the atmosphere in the service-learning course seems different, with students being more focused and rarely slacking in their own work – perhaps because they feel they are role models for their own students. This is quite consistent with past experience of my colleagues who also found that service-learning produced an interesting effect in their classroom. For example, Allison Henrich [4] noted a decrease in math anxiety in service-learning students taking a math course for non-majors.

Reflection is an integral component of a service-learning course, because it serves as a tool for converting experience into knowledge (thank you, Jeffrey Anderson, for a great analogy!). In my class, students engaged in structured reflection to help them process their experiences. Twice during the quarter, we spent 40 minutes of class time talking about the students’ service-learning experiences. By talking to classmates who worked at the same location, students built a community and a support network, and resolved practical problems. The class discussions focused on questions raised by students themselves: “How would you explain to a student what a variable is?” “What do you do if someone is disrespectful?” “How do you motivate an unmotivated student?”

Students also kept a weekly reflection journal, and reading it was one of the most rewarding – and time-consuming – parts of my experience as instructor of a service-learning course. Each entry consisted of a mathematical and non-mathematical reflection. In the mathematical part, students analyzed their teaching interactions and reflected on the subject material that came up in the tutoring sessions. Students often noted parallels between the material we were covering in our class and their tutoring sessions, where they explained concepts of graphing and solving equations, and organizing data for word problems.

The optional non-mathematical part was free-form, and students could reflect on the human part of their experience, describing the kids they observed or the difficulties that immigrant students faced. One student reflected:

Oftentimes when a student is confused in class, it’s not that they don’t understand math, it’s that they are struggling translating the English being spoken.[…] If I wrote the problem out using numbers they could solve it immediately. They are astonishingly intelligent.

Quite often students saw themselves in the students they taught, which led them to recognize their own mal-adaptive mathematical strategies, such as not reading a problem or rushing through a solution. Some drew strength and inspiration from the personal struggles of their students, regardless of age, and witnessed how difficult life circumstances combined with poor math preparation put educational and career goals out of reach for their students.

Tutoring at Seattle Central Community College is really eye opening. It’s really made me think of my blessings and truly be grateful for them…Recently one of the people I tutor (let’s call her Hana) has dropped out of school. This was a woman that I admired and looked up to from the moment I met her. […] When she told me of her decision over the phone, I was surprised by how big the blow was to me. She was a 57 year old woman aiming to be a nurse. She showed me how determined a person can be even when the odds and/or circumstances are against them. She had dropped out due to medical reasons which really upset me due to how well she was picking up on her material in class.

As the instructor of a service-learning course, one should be prepared for a time-consuming, rewarding, often intense, sometimes draining, unexpected and interesting experience. One should be aware that service-learning has potential to lead to lower overall course evaluations, despite the overwhelmingly positive student feedback on the tutoring experience. Service-learning introduces a potential for instability into the classroom, and the instructor has little control over the way this experience will unfold. I found myself addressing all sorts of matters, from practical to political. Seattle University has a wonderful Center for Community Engagement, which is instrumental in organizing student placement, arranging background checks, finding community partners, as well as providing cultural competence training to students. If a university does not have such an organization within its structure, the necessity to find community partners and build connections falls to the instructor, which is a large and time-consuming endeavor.

The instructor in a service-learning course has a responsibility to carefully frame the discussion about the experience so that service-learning does not end up reinforcing existing stereotypes and instill a “savior complex” in participating university students. The instructor should also provide some pedagogical training to students and discuss helpful tutoring strategies and the necessity to teach for understanding. Some pedagogical training can happen during regular lectures, while other discussions will fit well into the in-class reflection sessions.

Hopefully, the mathematical benefits can convince the more traditional and conservative math departments to implement some form of service-learning in their classes. A liberal arts or religiously-affiliated institution may follow a mission statement that aligns with a message of service and social justice, and so may be more open to service-learning as pedagogy. I would like to end this post with a quote from student reflection:

I believe that service-learning should be something that everyone should at least participate in at least once. Maybe it will be a hit or miss, but if it is a hit with some individuals, they can definitely devote their passion and their drive to teaching scholars and students who would greatly benefit from tutors.

[1] Rochelle Gutiérrez. (2013). The Sociopolitical Turn in Mathematics Education. *Journal for Research in Mathematics Education,* *44*(1), 37-68.

[2] Special Issue on Service Learning. *PRIMUS: Problems, Resources, and Issues in Mathematics Undergraduate Studies* 23:6

[3] Ekaterina Yurasovskaya. (2016) Service-learning in a precalculus class: Tutoring improves the course performance of the tutor. In (Eds.) T. Fukawa-Connelly, N. Infante, M. Wawro, and S. Brown, *Proceedings of the 19th Annual Conference on Research in Undergraduate Mathematics Education*, Pittsburgh, Pennsylvania. 496–505.

[4] Allison Henrich, and Kristi Lee.(2011) Reducing math anxiety: Findings from incorporating service learning into a quantitative reasoning course at Seattle University. *Numeracy.* 4(2).