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Tapping students’ rich algebraic ways of reasoning during out-of-school activities — such as sports, social networking and video games — generates personalized connections
Can students learn algebra from Instagram and video games?
Teaching researcher Candace Walkington, Southern Methodist University, Dallas, thinks so.
Walkington’s new study, funded by the National Academy of Education, will test that idea.
“In previous work, I found that students draw upon rich algebraic ways of reasoning when pursuing their out-of-school interests in areas like sports, social networking and video games,” said Walkington, whose research focus is evidence-based effective teaching. “Making connections to these topics in algebra class can improve long-term understanding of algebraic ideas.”
The new study asks pre-algebra students to author their own algebra stories based on their personal interests.Making math accessible and captivating is critical for encouraging learning
Algebra is a gatekeeper to many careers and to higher-level mathematics, making it critical for students to master, Walkington said, but students struggle to understand the abstract representations.
“Students often can’t see the connection between their world and algebra,” she said. “Exploring ways to connect math to their lives, experiences and knowledge is critical for making it accessible and captivating. That’s especially true when considering students from diverse backgrounds.”
Walkington’s previous studies — including participation in the Measures of Effective Teaching Project, funded by the Bill & Melinda Gates Foundation, and her long-time collaboration with Carnegie Mellon University’s Pittsburgh Science of Learning Center — have focused on how abstract mathematical concepts can be grounded in students’ out-of-school interests, experiences and everyday reasoning practices.
“These studies combine cognitive theories related to activation of prior knowledge with motivational theories related to the development of interest in order to understand and intervene upon students’ mathematical understanding,” Walkington said.
Search for effective teaching drives quantitative, qualitative methods
Walkington’s study uses qualitative and quantitative methods to compare an experimental group to a control group. She will look at how the intervention elicits students’ interest in learning algebra, and at the impact on students’ classroom discussions, on learning algebra concepts and promoting a positive outlook toward math.
Walkington’s study uses qualitative and quantitative methods to compare an experimental group to a control group. She will look at how the intervention elicits students’ interest in learning algebra, and at the impact on students’ classroom discussions, on learning algebra concepts and promoting a positive outlook toward math.
“Personalizing instruction has the potential to improve learning and attitudes in algebra courses that are a key barrier to academic advancement and economic attainment,” said Walkington, a professor in SMU’s Annette Caldwell Simmons School of Education & Human Development.
Walkington’s NAE study at Marsh Middle School in Dallas will provide personalized learning interventions for seventh and eighth grade math students. The study complements a new grant recently awarded to Dallas Independent School District by the Gates Foundation to build personalized learning models in eight DISD schools. Walkington will provide professional development to the eight teams, and is planning a research study that describes the process all eight schools go through as they build personalized learning models on their campuses.
The research is critical for establishing evidence-based criteria for teaching.
“There actually hasn’t been an extensive body of research showing if the customized approach is effective, for whom it’s effective, or what content it’s effective for. So there’s a lack of evidence,” says Walkington. “At the same time, we have this rise of technological systems in the schools with amazing potential to individualize instruction to each student.”
New design studies build and expand on previous findings
One of Walkington’s recent studies, published in the Journal of Educational Psychology, draws data from Pennsylvania classrooms using an in-school intelligent tutoring system for Algebra I. The software personalizes instruction to match the pace of each student, detects a student’s current state of knowledge, determines which kinds of problems to present and what feedback and help are needed, and tracks each child’s progress.
One of Walkington’s recent studies, published in the Journal of Educational Psychology, draws data from Pennsylvania classrooms using an in-school intelligent tutoring system for Algebra I. The software personalizes instruction to match the pace of each student, detects a student’s current state of knowledge, determines which kinds of problems to present and what feedback and help are needed, and tracks each child’s progress.
Walkington took that a step further by adding student interests and hobbies into the software. After surveying ninth grade students about their interests, Walkington wrote math problems around those interests. The problems were programmed into the software, so problems are presented in the context most appealing to each individual student.
“We found that students receiving personalization performed better on the math lesson than students presented problems that weren’t customized to their interests. We also found that one or two months later – on future lessons that weren’t personalized – those students who had received personalization were still doing better,” Walkington said.
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| Candace Walkington, assistant professor in the Department of Teaching & Learning in the SMU Simmons School, teaches evidence-based teaching strategies to future educators. (Credit: SMU) |
That study has been expanded to another group of high school students. In a recent paper presented at the Educational Data Mining Conference in London, Walkington demonstrated that personalization improved students’ interest in mathematics, which in turn improved achievement for those not interested in math initially. Ongoing studies in Houston and San Antonio schools allow students the choice of personalized context for each problem.
“We think the combination of personalization and choice is going to have even more impact than personalization by itself,” she said. Early results from these studies support this hypothesis.
Innovative strategies help struggling fifth and sixth graders
Walkington earned B.S. and M.S. degrees in mathematics from Texas A&M University, and had planned to have a career as a financial mathematician. She changed her career path after completing a National Science Foundation graduate teaching fellowship at a high-poverty rural school in Iola, Texas.
Walkington earned B.S. and M.S. degrees in mathematics from Texas A&M University, and had planned to have a career as a financial mathematician. She changed her career path after completing a National Science Foundation graduate teaching fellowship at a high-poverty rural school in Iola, Texas.
There Walkington discovered firsthand the satisfaction of designing innovative strategies to help struggling fifth and sixth graders learn math. The experience brought back memories of her own seventh-grade struggle with algebra, which had threatened to derail her interest in math.
“We’re focusing on the sixth- to ninth-grade math when students start to lose interest. At the same time they also start to become deeply interested in things outside of school, like music and sports,” Walkington says. “In this next study we’re hoping we see that personalization also gives them a more positive outlook toward mathematics and shows them how much they like math class.”
While working on her Ph.D. at the University of Texas at Austin, Walkington collaborated on research geared toward identifying what teacher behaviors are a strong predictor of student success on standardized math tests. The research was incorporated into the Gates Foundation’s Measures of Effective Teaching Project, one of the largest research efforts in U.S. history to identify and understand effective teaching. The project is shaping educational policy nationally.
Walkington and research colleague Michael P. Marder, executive director of UTeach Science Program, University of Texas at Austin, contributed protocols to the MET Project based on their findings, including one finding that classrooms where the teacher focuses specifically on students deeply understanding math have higher test scores compared to classrooms where teachers focus on drill and standardized test preparation. In addition, they also found that classroom management was a necessary, but not sufficient, condition for learning.
Walkington’s research appears in a new groundbreaking book about the MET Project, “Designing Teacher Evaluation Systems: New Guidance from the Measures of Effective Teaching Project,” (Wiley, July 2014). Walkington, who led a team that analyzed 1,000 video math lessons of teachers around the country to code effective teaching, is first author on a chapter. — Margaret Allen
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To book a live or taped interview with Candace Walkington in the SMU Studio call SMU News at 214-768-7650 or email SMU News atnews@smu.edu.RELATED LINKS
- Candace Walkington
- SMU Simmons Department of Teaching & Learning:Research in Mathematics Education
- Annette Caldwell Simmons School of Education & Human Development
- Journal of Educational Psychology:“Personalization to student interests”
- “Measures of Effective Teaching Project”
- Measures of Effective Teaching Project: “Designing Teacher Evaluation Systems”
