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Does symmetry matter for speed? Study finds Usain Bolt may have asymmetrical running gait

A new method for assessing patterns of ground-force application suggests the right and left legs of the world’s fastest man may perform differently, defying current scientific assumptions about running speed.

World champion sprinter Usain Bolt may have an asymmetrical running gait, according to data recently presented by researchers from Southern Methodist University, Dallas.

While not noticeable to the naked eye, Bolt’s potential asymmetry emerged after SMU researchers assessed the running mechanics of the world’s fastest man.

The analysis thus far suggests that Bolt’s mechanics may vary between his left leg and his right, said Andrew Udofa, a biomechanics researcher in the SMU Locomotor Performance Laboratory.

The existence of an unexpected and potentially significant asymmetry in the fastest human runner ever would help scientists better understand the basis of maximal running speeds. Running experts generally assume asymmetry impairs performance and slows runners down.

“Our observations raise the immediate scientific question of whether a lack of symmetry represents a personal mechanical optimization that makes Bolt the fastest sprinter ever or exists for reasons yet to be identified,” said Udofa, a member of the research team.

The SMU Locomotor Lab, led by Peter Weyand, focuses on the mechanical basis of human performance. The group includes physicist and engineer Laurence Ryan, an expert in force and motion analysis, and doctoral researcher Udofa.

The intriguing possibility of Bolt’s asymmetry emerged after the SMU researchers decided to assess his pattern of ground-force application — literally how hard and fast each foot hits the ground. To do so they measured the “impulse” for each foot.

Impulse is a combination of the amount of force applied to the ground multiplied by the time of foot-ground contact.

“The manner in which Bolt achieves his impulses seems to vary from leg to leg,” Udofa said. “Both the timing and magnitude of force application differed between legs in the steps we have analyzed so far.”

Impulse matters because that’s what determines a runner’s time in the air between steps.

“If a runner has a smaller impulse, they don’t get as much aerial time,” Weyand said. “Our previous published research has shown greater ground forces delivered in shorter periods of foot-ground contact are necessary to achieve faster speeds. This is true in part because aerial times do not differ between fast and slow runners at their top speeds. Consequently, the combination of greater ground forces and shorter contact times is characteristic of the world’s fastest sprinters.”

The researchers didn’t test Bolt in the SMU lab. Instead, they used a new motion-based method to assess the patterns of ground-force application. They analyzed Bolt and other elite runners using existing high-speed race footage available from NBC Universal Sports. The runners were competing in the 2011 Diamond League race at the World Athletics Championships in Monaco.

Udofa analyzed 20 of Bolt’s steps from the Monaco race, averaging data from 10 left and 10 right.

The researchers relied upon foot-ground contact time, aerial time, running velocity and body mass to determine the ground reaction forces using the new method, made possible by the “two-mass model” of running mechanics.

Runners typically run on a force-instrumented treadmill or force plates for research examining running ground-reaction forces. However, the two-mass model method provides a tool that enables motion-based assessments of ground reaction forces without direct force measurements.

“There are new avenues of research the model may make possible because direct-force measurements are not required,” Weyand said. “These include investigations of the importance of symmetry for sprinting performance. The two-mass model may facilitate the acquisition of data from outside the lab to help us better address these kinds of questions.”

Udofa presented the findings at the 35th International Conference on Biomechanics in Sport in Cologne, Germany. His presentation, “Ground Reaction Forces During Competitive Track Events: A Motion Based Assessment Method,” was delivered June 18.

Two-mass model relies on basic motion data
SMU researchers developed the concise two-mass model as a simplified way to predict the entire pattern of force on the ground — from impact to toe-off — with very basic motion data.

The model integrates classic physics and human anatomy to link the motion of individual runners to their patterns of force on the ground.

It provides accurate predictions of the ground force vs. time patterns throughout each instant of the contact period, regardless of limb mechanics, foot-strike type or running speed.

The two-mass model is substantially less complex than other scientific models that explain patterns of ground force application during running. Most existing models are more elaborate in relying on 14 or more variables, many of which are less clearly linked to the human body.

“The two-mass model provides us with a new tool for assessing the crucial early portion of foot-ground contact that is so important for sprinting performance,” said Udofa. “The model advances our ability to assess the impact-phase force and time relationships from motion data only.”

The two-mass model was developed in SMU’s Locomotor Performance Laboratory by Kenneth P. Clark, now an assistant professor in the Department of Kinesiology at West Chester University, West Chester, Pa.; Ryan, a physicist and research engineer at SMU’s Locomotor Performance Laboratory; and Weyand.

The researchers described the two-mass model earlier this year in the Journal of Experimental Biology in their article, “A general relationship links gait mechanics and running ground reaction forces.” It’s available at bitly, http://bit.ly/2jKUCSq.

Support for the research came from the U.S. Army Medical Research and Materiel Command.

Weyand is Glenn Simmons Professor of Applied Physiology and professor of biomechanics in the Department of Applied Physiology & Wellness in SMU’s Annette Caldwell Simmons School of Education & Human Development. — Margaret Allen, SMU

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Dallas Innovates: SMU Researchers, Gamers Partner on Cancer Research

Adding the processor power of the network of “Minecraft” gamers could double the amount of computer power devoted to the SMU research project.

Reporter Lance Murray with Dallas Innovates reported on the research of biochemistry professors Pia Vogel and John Wise in the SMU Department of Biological Sciences, and Corey Clark, deputy director of research at SMU Guildhall.

The researchers are leading an SMU assault on cancer in partnership with fans of the popular best-selling video game “Minecraft.”

They are partnering with the world’s vast network of gamers in hopes of discovering a new cancer-fighting drug. Vogel and Wise expect deep inroads in their quest to narrow the search for chemical compounds that improve the effectiveness of chemotherapy drugs.

A boost in computational power by adding crowdsourcing may help the researchers narrow their search.

The Dallas Innovates article, “SMU Researchers, Gamers Partner on Cancer Research,” published June 5, 2017.

Read the full story.

EXCERPT:

By Lance Murray
Dallas Innovates

Game developers and researchers at SMU are partnering with a worldwide network of gamers who play the popular game in a crowdsourcing effort to beat the disease.

The project is being led by biochemistry professors Pia Vogel and John Wise of the SMU Department of Biological Sciences, and Corey Clark, deputy director of research at SMU Guildhall, the university’s graduate video game development program.

“Crowdsourcing as well as computational power may help us narrow down our search and give us better chances at selecting a drug that will be successful,” Vogel said in a release. “And gamers can take pride in knowing they’ve helped find answers to an important medical problem.”

Vogel and Wise have been utilizing the university’s ManeFrame supercomputer, one of the most powerful academic supercomputers in the country, to sort through millions of compounds that potentially could work in the fight against cancer.

Now, they’re going to try crowdsourced computing.

The researchers believe that the network of gamers will be able to crunch massive amounts of data during routine game play by pooling two weapons — human intuition and the massive computing power of the networked gaming machine processors.

Adding gamers could double processing power
That should more than double the amount of processing power aimed at their research problem.

“If we take a small percentage of the computing power from 25,000 gamers playing our mod we can match ManeFrame’s 120 teraflops of processing power,” said Clark, who is also an adjunct research associate professor in the Department of Biological Sciences.

“Integrating with the ‘Minecraft’ community should allow us to double the computing power of [SMU’s] supercomputer.”

The research labs of Vogel and Wise are part of the Center for Drug Discovery, Design, and Delivery in SMU’s Dedman College, whose mission is a multidisciplinary focus for scientific research that targets medically important problems in human health, the release said.

According to SMU, the research is partly funded by the National Institutes of Health.

The researchers narrowed a group of compounds that show potential for alleviating the issue of chemotherapy failure after repeated use.

Using gamers in research has happened before
Using human gamers to enhance data-driven research has been done before with success and is a growing practice.

Vogel cited the video game “Foldit.”

Read the full story.

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Study solves mystery of how plants use sunlight to tell time via cell protein signaling

Discovery may someday allow farmers to grow crops in climates where they currently won’t grow and allows scientists to make a subtle, targeted mutation to a specific native plant protein

Findings of a new study solve a key mystery about the chemistry of how plants tell time so they can flower and metabolize nutrients.

The process — a subtle chemical event — takes place in the cells of every plant every second of every day.

The new understanding means farmers may someday grow crops under conditions or in climates where they currently can’t grow, said chemist Brian D. Zoltowski, Southern Methodist University, Dallas, who led the study.

“We now understand the chemistry allowing plants to maintain a natural 24-hour rhythm in sync with their environment. This allows us to tune the chemistry, like turning a dimmer switch up or down, to alter the organism’s ability to keep time,” Zoltowski said. “So we can either make the plant’s clock run faster, or make it run slower. By altering these subtle chemical events we might be able to rationally redesign a plant’s photochemistry to allow it to adapt to a new climate.”

Specifically, the researchers figured out the chemical nuts and bolts of how a chemical bond in the protein Zeitlupe forms and breaks in reaction to sunlight, and the rate at which it does so, to understand how proteins in a plant’s cells signal the plant when to bloom, metabolize, store energy and perform other functions.

Zoltowski’s team, with collaborators at the University of Washington and Ohio State University, have made plant strains with specific changes to the way they are able to respond to blue-light.

“With these plants we demonstrate that indeed we can tune how the organisms respond to their environment in an intelligible manner,” Zoltowski said.

Zoltowski and his colleagues made the discovery by mapping the crystal structure of a plant protein whose function is to measure the intensity of sunlight. The protein is able to translate light intensity to a bond formation event that allows the plant to track the time of day and tell the plant when to bloom or metabolize nutrients.

A plant uses visual cues to constantly read every aspect of its environment and retune its physiological functions to adapt accordingly. Some of these cues are monitored by plant proteins that absorb and transmit light signals — called photoreceptors. The research team specifically studied two key photoreceptors, Zeitlupe (Zite-LOO-puh) and FKF-1.

“Plants have a very complex array of photoreceptors absorbing all different wavelengths of light to recognize every aspect of their environment and adapt accordingly,” said Zoltowski, an assistant professor in the SMU Department of Chemistry. “All their cells and tissue types are working in concert with each other.”

The finding was reported in the article “Kinetics of the LOV domain of Zeitlupe determine its circadian function in Arabidopsis” in the journal eLIFE online in advance of print publication.

Co-author and lead author is Ashutosh Pudasaini, a doctoral graduate from the SMU Department of Chemistry who is now a postdoctoral fellow at the University of Texas Southwestern Medical School, Dallas. Other co-authors are Jae Sung Shim, Young Hun Song and Takato Imaizumi, University of Washington, Seattle; Hua Shi and David E. Somers, Ohio State University; and Takatoshi Kiba, RIKEN Center for Sustainable Resource Science, Japan.

The research is funded through a grant from the National Institute of General Medical Sciences of the National Institutes of Health awarded to Zoltowski’s lab.

Nighttime is the right time for plants to grow
“If you live in the Midwest, people say you hear the corn growing at night,” said Zoltowski, who grew up in rural Wisconsin.

“During the day, a plant is storing as much energy as it can by absorbing photons of sunlight, so that during the evening it can do all its metabolism and growth and development. So there’s this separation between day and night.”

Plants measure these day and night oscillations as well as seasonal changes. Knowledge already existed of the initial chemistry, biology and physiology of that process.

In addition, Zoltowski and colleagues published in 2013 the discovery that the amino acids in Zeitlupe — working like a dimmer switch — gradually get more active as daytime turns to evening, thereby managing the 24-hour Circadian rhythm. Additionally, they found that FKF-1 is very different from Zeitlupe. FKF-1 switches on with morning light and measures seasonal changes, otherwise called photoperiodism.

But a knowledge gap remained. It was a mystery how the information is integrated by the organism.

“Ultimately that has to be related to some kind of chemical event occurring, some kind of chemical timekeeper,” Zoltowski said. “So by following that trail we figured out how the chemistry works.”

Dark state and light state snapshots
The problem required a two-pronged approach: Solving the structure of the protein to understand how forming and breaking bonds changes how the organism perceives its environment; and solving the chemistry, specifically the crystal structures of the protein’s dark and light states.

That process yielded a snapshot of the protein in the dark state and a snapshot of the protein in the light state, so the researchers could watch changes in protein structure in response to the bond-forming event.

From there, the researchers made mathematical models 1) that explain how the chemistry of the bond breaking and bond forming event, and the rate at which it occurs, should affect the organism; and 2) that design mutations to the protein that affect how it goes from the dark state to the light state to block that process.

Standard techniques yielded the discovery
The team used a few standard techniques. To get at the chemistry, they deployed ultra-violet visible spectroscopy to measure how efficiently proteins absorb light. They followed differences in the absorption spectrum, seeing what wavelengths are absorbed, to track chemical changes between the dark and the light states.

On the structure side, they crystallized the proteins and collected data at synchrotron sources at Cornell University, then mapped out like a puzzle where all the electrons are located in the crystal. From there they could fit and build — amino acid by amino acid — the protein, yielding a three-dimensional image of where every atom in the protein is located.

“This gives us pictures and snapshots of all those discrete events, where then we can look at how the atoms are moving and changing from one to the other,” Zoltowski said. “That allows us to see the bonds forming, the bonds breaking, and how the rest of the protein changes in response to that.”

Why didn’t we think of that?
The question has been an important one in the field, but challenging technical hurdles thwarted solutions, said Zoltowski. The key for his team was persistence and years of experience.

“This is not an easy protein to work with — it’s difficult to get crystals of these proteins. It requires a protein that is stable enough and will interact in a way that it yields a perfectly ordered crystal. So it’s difficult to do the chemistry and the structures. Researchers have struggled with getting adequate amounts of protein to be able to do these types of characterizations,” he said.

Think of it like a diamond, Zoltowski said, which is a perfectly ordered crystal that is just carbon atoms arranged in a specific way.

“Zeitlupe and FKF-1 have thousands of atoms in each protein, and in order to get a crystal, each molecule of the protein needs to arrange itself with the same type of accuracy and precision as carbon atoms in a diamond. Getting that to occur, where they pack nicely together, is non trivial. And some proteins just are really challenging to work with.”

Zoltowski and his colleagues have been fortunate in having years of experience working with these families of proteins, called the Light-oxygen-voltage-sensing domains, or LOV domains, for short.

“So we’ve developed a lot of skills and techniques over the years that can get over some of the technical hurdles,” he said. “So just from gaining experience over time, we’ve gotten better with working with some very difficult proteins. It makes something that is challenging, much more tractable for our lab.”

Does this apply to all LOV proteins in every plant?
Zeitlupe is a German word that means slow motion. The protein was dubbed Zeitlupe because scientists discovered when they found mutations of this protein previously that it made the Circadian clock run slower. It naturally altered the way the organism perceived time.

“We wanted to understand the proteins well enough that we could selectively alter the chemistry, or selectively alter the structure, to create mutations that would be testable in the organism,” Zoltowski said. “We wanted a predictive model that would tell us that these mutations that affect the kinetics — the rate at which this bond breaks — should do ‘X’ in the organism.”

The team’s new discovery results in hybrid plants — something nature already does and has done for millions of years through the process of evolution so that plants adapt to survive.

“We’re not putting anything into the plant or changing its genetics,” Zoltowski said. “We’re making a very subtle, targeted mutation to a specific protein that already is a native plant protein — and one that we’ve shown in this paper has evolved considerably throughout various different agricultural crops to already do this.”

The discovery gives scientists the ability to rationally interpret environmental information affecting a plant in order to introduce mutations, instead of relying on selective breeding to achieve a targeted mutation to generate phenotypes that potentially allow the plant to grow in a different environment.

What’s next?
The research opens a lot of new doors, including new questions about how these proteins are changing their configuration and how other variables, like oxidative stress, couple with the plant’s global sensory networks to also alter proteins and send multiple signals from the environment.

“What we’ve learned is that you need to pay careful attention to specific parts of the protein because they’re modulating activity selectively in different categories of this family,” Zoltowski said. “If we look at the whole family of these proteins, there are key amino acids that are evolutionarily selected, so they evolve specific modulations of this activity for their own independent niche in the environment. One of the take-homes is there are areas in the protein we need to look at to see how the amino acids are now different.”

Besides the NIH grant, the lab operates with $250,000 from the American Chemical Society’s Herman Frasch Foundation for Chemical Research Grants in Agricultural Chemistry. — Margaret Allen

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SMU Guildhall and cancer researchers level up to tap human intuition of video gamers in quest to beat cancer

Massive computational power of online “Minecraft” gaming community bests supercomputers

Video gamers have the power to beat cancer, according to cancer researchers and video game developers at Southern Methodist University, Dallas.

SMU researchers and game developers are partnering with the world’s vast network of gamers in hopes of discovering a new cancer-fighting drug.

Biochemistry professors Pia Vogel and John Wise in the SMU Department of Biological Sciences, and Corey Clark, deputy director of research at SMU Guildhall, are leading the SMU assault on cancer in partnership with fans of the popular best-selling video game “Minecraft.”

Vogel and Wise expect deep inroads in their quest to narrow the search for chemical compounds that improve the effectiveness of chemotherapy drugs.

“Crowdsourcing as well as computational power may help us narrow down our search and give us better chances at selecting a drug that will be successful,” said Vogel. “And gamers can take pride in knowing they’ve helped find answers to an important medical problem.”

Up to now, Wise and Vogel have tapped the high performance computing power of SMU’s Maneframe, one of the most powerful academic supercomputers in the nation. With ManeFrame, Wise and Vogel have sorted through millions of compounds that have the potential to work. Now, the biochemists say, it’s time to take that research to the next level — crowdsourced computing.

A network of gamers can crunch massive amounts of data during routine gameplay by pairing two powerful weapons: the best of human intuition combined with the massive computing power of networked gaming machine processors.

Taking their research to the gaming community will more than double the amount of machine processing power attacking their research problem.

“With the distributed computing of the actual game clients, we can theoretically have much more computing power than even the supercomputer here at SMU,” said Clark, also adjunct research associate professor in the Department of Biological Sciences. SMU Guildhall in March was named No. 1 among the Top 25 Top Graduate Schools for Video Game Design by The Princeton Review.

“If we take a small percentage of the computing power from 25,000 gamers playing our mod we can match ManeFrame’s 120 teraflops of processing power,” Clark said. “Integrating with the ‘Minecraft’ community should allow us to double the computing power of that supercomputer.”

Even more importantly, the gaming community adds another important component — human intuition.

Wise believes there’s a lot of brainpower eager to be tapped in the gaming community. And human brains, when tackling a problem or faced with a challenge, can make creative and intuitive leaps that machines can’t.

“What if we learn things that we never would have learned any other way? And even if it doesn’t work it’s still a good idea and the kids will still get their endorphin kicks playing the game,” Wise said. “It also raises awareness of the research. Gamers will be saying ‘Mom don’t tell me to go to bed, I’m doing scientific research.”

The Vogel and Wise research labs are part of the Center for Drug Discovery, Design and Delivery (CD4) in SMU’s Dedman College. The center’s mission is a novel multi-disciplinary focus for scientific research targeting medically important problems in human health. Their research is funded in part by the National Institutes of Health.

The research question in play
Vogel and Wise have narrowed a group of compounds that show promise for alleviating the problem of chemotherapy failure after repeated use. Each one of those compounds has 50 to 100 — or even more — characteristics that contribute to their efficacy.

“Corey’s contribution will hopefully tell us which dozen perhaps of these 100 characteristics are the important ones,” Vogel said. “Right now of those 100 characteristics, we don’t know which ones are good ones. We want to see if there’s a way with what we learn from Corey’s gaming system to then apply what we learn to millions of other compounds to separate the wheat from the chaff.”

James McCormick — a fifth year Ph.D. student in cellular molecular biology who earned his doctoral degree this spring and is a researcher with the Center for Drug Discovery, Design and Delivery — produced the data set for Clark and Guildhall.

Lauren Ammerman, a first-year Ph.D. student in cellular and molecular biology and also working in the Center for Drug Discovery, Design and Delivery, is taking up the computational part of the project.

Machines can learn from human problem solving
Crowdsourcing video gamers to solve real scientific problems is a growing practice.

Machine learning and algorithms by themselves don’t always find the best solution, Clark said. There are already examples of researchers who for years sought answers with machine learning, then switched to actual human gamers.

Gamers take unstructured data and attack it with human problem-solving skills to quickly find an answer.

“So we’re combining both,” Clark said. “We’re going to have both computers and humans trying to find relationships and clustering the data. Each of those human decisions will also be supplied as training input into a deep neural network that is learning the ‘human heuristic’ — the technique and processes humans are using to make their decisions.”

Gamers already have proven they can solve research problems that have stymied scientists, says Vogel. She cites the video game “Foldit” created by the University of Washington specifically to unlock the structure of an AIDS-related enzyme.

Some other Games With A Purpose, as they’re called, have produced similar results. Humans outperform computers when it comes to tasks in the computational process that are particularly suited to the human intellect.

“With ‘Foldit,’ researchers worked on a problem for 15 years using machine learning techniques and were unable to find a solution,” Clark said. “Once they created the game, 57,000 players found a solution in three weeks.”

Modifying the “Minecraft” game and embedding research data inside
Gamers will access the research problem using the version of “Minecraft” they purchased, then install a “mod” or “plugin” — gamer jargon for modifying game code to expand a game’s possibilities — that incorporates SMUs research problem and was developed in accordance with “Minecraft” terms of service. Players will be fully aware of their role in the research, including ultimately leaderboards that show where players rank toward analyzing the data set in the research problem.

SMU is partnering with leaders in the large “Minecraft” modding community to develop a functioning mod by the end of 2017. The game will be heavily tested before release to the public the second quarter of 2018, Clark said.

The SMU “Minecraft” mod will incorporate a data processing and distributed computing platform from game technology company Balanced Media Technology (BMT), McKinney, Texas. BMT’s HEWMEN software platform executes machine-learning algorithms coupled with human guided interactions. It will integrate Wise and Vogel’s research directly into the SMU “Minecraft” mod.

SMU Guildhall will provide the interface enabling modders to develop their own custom game mechanic that visualizes and interacts with the research problem data within the “Minecraft” game environment. Guildhall research is funded in part by Balanced Media Technology.

“We expect to have over 25,000 people continuously online during our testing period,” Clark said. “That should probably double the computing power of the supercomputer here.”

That many players and that much computing power is a massive resource attacking the research problem, Wise said.

“The SMU computational system has 8,000 computer cores. Even if I had all of ManeFrame to myself, that’s still less computing and brainpower than the gaming community,” he said. “Here we’ve got more than 25,000 different brains at once. So even if 24,000 don’t find an answer, there are maybe 1,000 geniuses playing ‘Minecraft’ that may find a solution. This is the most creative thing I’ve heard in a long time.” — Margaret Allen, SMU

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Texas Tribune: The Q&A — Candace Walkington

In Texas middle schools, only around 70 percent of students actually pass our state standardized tests in math. — Candace Walkington, SMU

Texas Tribune reporter Sanya Monsoor interviewed SMU education expert Candace Walkington, an assistant professor of Teaching and Learning in the Annette Caldwell Simmons School of Education and Human Development, for a Q&A about teaching math to middle school and high school students.

Walkington specializes in mathematics education. She holds a B.S. and M.S. in Mathematics from Texas A&M University, and she is a former NSF-GK12 Fellow and college mathematics professor. She received her Ph.D. in Mathematics Education from the University of Texas at Austin. She was also an IES Postdoctoral Fellow in Mathematical Thinking, Learning, and Instruction at the University of Wisconsin-Madison. She was a recipient of the prestigious Spencer Postdoctoral Research Fellowship Grant.

Walkington’s research examines how abstract mathematical ideas can become connected to students’ concrete, everyday experiences such that they become more understandable. She conducts research on “personalizing” mathematics instruction to students’ out of-school interests in areas like sports, music, shopping, and video games. She also examines ways to connect mathematical practices with physical motions including gestures. Her work draws upon theories of situated and embodied cognition, and she is an active member of the learning sciences community. Her research uses both qualitative methods like discourse and gesture analysis, and quantitative methods like hierarchical linear modeling and educational data mining.

The Texas Tribune article, “The Q&A: Candace Walkington,” published April 12, 2017.

Read the full story.

EXCERPT:

By Sanya Monsoor
Texas Tribune

With each issue, Trib+Edu brings you an interview with experts on issues related to public education. Here is this week’s subject:

Candace Walkington is an assistant professor in teaching and learning at Southern Methodist University. Her research focuses on innovative ways to teach math to middle school and high school students.

Editor’s note: This interview has been edited for length and clarity.

Trib+Edu: Tell me about your research as it relates to teaching math differently.

Candace Walkington: My research mainly focuses on ways to make mathematics instruction more engaging for students in grades six through 10. Research suggests that’s a particularly problematic time for students when it comes to motivation and interest in math.

I look at interventions where mathematics is connected to things that students are interested in, like popular culture interests. This could include their experiences playing sports, playing video games, engaging with social media and how they’re using numerical and algebraic reasoning in all of these contexts.

Trib+Edu: Why is mathematics intervention important for this age group?

Walkington: In Texas middle schools, only around 70 percent of students actually pass our state standardized tests in math. If you look at the passing rate for students who are economically disadvantaged, it’s around 60 percent. These numbers have been on a pattern of decline.

According to ACT scores, only 42 percent of test takers in Texas are deemed college ready in mathematics, meaning they have a reasonable chance of being successful in an introductory college algebra course.

So things are happening around this middle school transition and the end of high school transition, which is causing a lot of students to turn away from mathematics, disengage and run into trouble in these classes.

Read the full story.