The Flipped Math Study team has been observing Algebra 1 instruction in a wide variety of schools across the state of Missouri. Some teachers are using instructional videos in “flipped” lessons and others are teaching in conventional face-to-face ways, but the research team is finding some profound similarities in the instructional characteristics, even when looking across teachers who are using different textbooks. In this presentation, Dr. Otten will share the patterns of algebra instruction that they have seen across a wide variety of schools. And although there are important similarities in instruction, he will also share some of the preliminary differences that they are finding with regard to students’ learning as measured by a procedural-knowledge instrument and a conceptual-knowledge instrument.
Samuel Otten is an associate professor of mathematics education at the University of Missouri. He received his Ph.D. from Michigan State University in 2012 and before that he also received a Master’s degree in mathematics from MSU and a bachelor’s degree from Grand Valley State University. His research centers on students’ participation in mathematical practices such as attending-to-precision and reasoning-and-proving, and he has recently become interested in studying digital curriculum materials and mathematics’ teachers’ preferences for digital resources. He has served on the steering committee of PME-NA and received the Nadine Bezuk Excellence in Leadership and Service Award in 2019. He hosts the Math Ed Podcast (www.mathedpodcast.com).
In this talk, I will discuss ways I have worked to support teacher noticing of student algebraic thinking. In particular, I will discuss a video club professional development I designed that included an algebraic thinking framework describing ways students might think algebraically, with the goal of encouraging teachers to attend to a broader range of student algebraic thinking. I found that preservice teachers who participated in the video club intervention discussed a wider range of algebraic thinking (i.e., connecting representations, modeling phenomena) than they had before the intervention, and they discussed this thinking on a more substantive level. I will then discuss two current projects that extend this prior work. In one project, I begin to explore teachers’ attention to multimodal (gesture and action) student thinking, as teachers engage with novel video annotation tools. In another new project, I explore algebraic thinking elicited in elementary classrooms as children program robots, and how teachers can learn to support this student engagement.
Janet is an Assistant Professor in the Center for Mathematics Education (CfME) at the University of Maryland. She earned her Doctorate from Northwestern University in the Learning Sciences in 2013. She also holds an MS in Mathematics from the University of Illinois at Chicago and a BA in Mathematics from the University of Chicago. Before enrolling in graduate school, Janet taught secondary mathematics for ten years and earned National Board Certification in 2003.
Janet’s research interests include teacher noticing and teacher responsiveness in the mathematics classroom. In particular, she is interested in how teachers attend to and make sense of student thinking and other student resources including but not limited to student dispositions and students’ ways of communicating mathematics. Janet’s work has been funded by the National Science Foundation, the Spencer Foundation, and the US Department of Education. Janet is a recent recipient of the NSF early CAREER award to study teacher noticing of multimodal student algebraic thinking. Her work appears in journals such as the Journal of Mathematics Teacher Education, Mathematics Teacher, and the Journal of the Learning Sciences, among others.
Recently there has been a lot of enthusiasm for integrating practices of Computer Science into mathematics classrooms. Although the reasons range from the hopeful to the pragmatic, we in fact know very little about how mathematical thinking might productively, or unproductively, connect with Computing. In this talk I will share findings from two rounds of design studies that sought to understand how these content areas, and their associated practices, might intersect, and ultimately, what the two fields have to learn from each other.
Melissa Gresalfi is an Associate Professor in Mathematics Education and the Learning Sciences, and Dean of the Martha Rivers Ingram Commons at Vanderbilt University. Her research considers how to design learning environments that support students’ empowered engagement with mathematics. Her projects explore how tasks, social interactions, and norms and broader narratives support student learning and identity, with a current focus on textile craft, programming, and play. These projects share a commitment to understand how classroom structures and curricular designs create (or limit) opportunities for students to engage meaningfully with information. Gresalfi has served as PI or co-PI on numerous grants funded through the Gates Foundation, the Institute of Education Sciences, the MacArthur Foundation, the National Science Foundation, and the Spencer Foundation.
Join us for a colloquium hosted by Dr. Paul Dawkins of Texas State University.
Abstract: In a recent series of teaching experiments, we (with Kyeong Hah Roh) are investigating how students construct some relationship between a conditional mathematical statement and a proof of that statement. This line of inquiry is intended to reveal some of the preconditions for students to make sense of the logic of proof as it relates to their reasoning about particular mathematical content. The presentation shall focus on the issue of whether students can construct any reason why a proof of the converse statement does not prove a given conditional when both statements are true. We argue why this depends upon students developing some (content-general) meaning for conditional truth and we present three such meanings as exemplified in our data. The presentation shall explore the challenges and opportunities of these three meanings for the purposes of teaching logic
Dr. Dawkins earned his Ph.D. from the University of Texas at Arlington in 2009 under the direction of James Alvarez. His dissertation work focused on student apprenticeship into defining practices in an inquiry-oriented real analysis classroom. His subsequent research has continued to focus on mathematical practices, inquiry-oriented instruction, and proof-oriented mathematics. Other projects have focused on axiomatizing in geometry as well as language and logic in introduction to proof. Many of Dr. Dawkins’ experiments use guided reinvention to design novel instructional sequences. By observing how students may be guided to reinvent key mathematical ideas, one can learn about the cognitive shifts that are necessary for learning.
Join us on Monday, February 25th for a colloquium hosted by Dr. Adalira Saenz-Ludlow of University of North Carolina at Charlotte. The title of her talk is, ” Are Diagrams Conceptualizing Tools?”
Event: Feb. 25th, 3:00 pm in Aderhold room 229
Abstract: The colloquium will focus on the nature of diagrams and diagrammatic reasoning from the semiotics of Charles Sanders Peirce. What are the elements of Peircean SIGNS and why are they dynamic and evolving? Why do SIGNS depend on subjectivity without leaving behind objectivity? What kind of SIGNS are diagrams and what kind of reasoning do they mediate? Examples from the mathematical activity of children and teachers as well as from the history of mathematics will shed light on diagrams as conceptualizing tools.
Please email firstname.lastname@example.org to sign up for a meal or meeting with our guest. Don’t miss out on this great opportunity!
Come support our colloquium event!
November 5th, 2018
3:30 pm colloquium (4:30 pm Q&A)
Aderhold room G5 (224 for Q&A)
“Taking Learning Trajectories to Scale in a Digital Learning System for Middle School Math”
This talk reports on the design and implementation of Math-Mapper6-8, a digital learning system hosting a learning map organized around nine big ideas, learning clusters and constructs. Underlying each construct is a learning trajectory (LT) and its associated CCSS-M standards. It is accompanied by a diagnostic assessment system for use within classroom instruction showing progress along the LTs. The talk will focus on applying the validation framework to ratio reasoning and process of continuous validation, stressing the critical role of the interdisciplinary collaboration between learning scientists and psychometricians.