The Physics of the Play: Wearables as Classroom Texts
March 3, 2026
For this week's "Writer's Desk," I want to discuss a radical shift in what we consider a "text." In our ENGL 170 lectures, we've spent a lot of time defining what constitutes a medium for communication. We've looked at novels, advertisements, and even social media threads. But I'd like to argue that a data set pulled from a wearable biometric sensor is just as much of a "text" as a Shakespearean sonnet.
In modern physical education and sports science programs, students aren't just running laps; they are wearing GPS vests and heart-rate monitors that track their every move. At the end of a session, that data is processed by AI to create a visual "map" of their physical effort. When we take that data into a lab to analyze it, we are performing a "close reading" of the human body. We are looking for patterns of fatigue, bursts of intensity, and physiological metaphors for effort and exhaustion.
The Body as Author
This is a new form of "Multimodal Literacy." We are learning to translate physical action into digital evidence. If we view the athlete as an "author," then their movements on the field are their "prose." A sudden spike in heart rate during the final minute of a game is a "climax." A period of standing still during a defensive lapse is a "lull in the narrative."
When we analyze these data sets in the classroom, we are teaching students how to bridge the gap between the physical and the analytical. This is crucial for 21st-century education. We aren't just "playing sports"; we are generating data that we then have to interpret and explain. If a student-athlete can look at a heat map of their movements and say, "I see that I am drifting too far to the left because I am overcompensating for a sore ankle," they are performing a high-level critical analysis. They are using evidence to support a claim about their own physical "text."
Breaking the "Jock" Stereotype
This intersection of AI and the classroom is also helping to break down the harmful "dumb jock" stereotype that has persisted in schools for decades. By turning the sports field into a data laboratory, we are showing that athletics require deep intellectual engagement. The athlete of today has to be a mathematician and a data scientist.
In our English discussions about "Audience," we talk about how we tailor our message to different people. An athlete wearing a sensor is communicating with their coaches, their trainers, and even their future self. The "audience" for their data is a team of experts who will use that information to write a "training program"—which is essentially a script for the athlete's future. By integrating these sensors into the curriculum, schools are treating the body with the same scholarly respect they give to the mind.
The Future of the "PE Paper"
Imagine a PE class where the final project isn't a fitness test, but a 1,000-word "Critical Analysis of My Biometric Data." In this paper, the student would have to use their AI-generated stats as "quotes" to prove how they improved over the semester. This would force them to use the same rhetorical skills we use in ENGL 170: citing evidence, analyzing trends, and drawing conclusions.
The "Physics of the Play" is proving that the more we measure, the more we have to explain. AI provides the "what," but it is the student's job in the classroom to provide the "so what?" As we continue to blur the lines between the locker room and the library, we are creating a more holistic kind of student—one who is literate in both words and numbers, and who understands that their own body is one of the most complex texts they will ever read.