Monthly Archives: September 2020

Frame-Switching As a Way to Get Unstuck: A Student Perspective

Authors

Mary Bridget Kustusch, Kyle Benjamin, and Grace Heath

When you are working on a problem and get stuck, how do you get “un-stuck”? Many of us have developed a myriad of tools, some explicit and some implicit, for helping us move past those sticky places in our work, but how did we develop these tools? How do we help our students develop these tools?

This figure illustrates the theoretical framework used in the larger collaboration for exploring epistemic framing. By placing framing along two dimensions (algorithmic to conceptual and math to physics), we can map how an individual or group moves through this framing space. Each quadrant also contains a brief description of what framing in that quadrant might look like, including an image taken directly from our data.
Figure 1. This figure illustrates the theoretical framework used in the larger collaboration for exploring epistemic framing. By placing framing along two dimensions (algorithmic to conceptual and math to physics), we can map how an individual or group moves through this framing space. Each quadrant also contains a brief description of what framing in that quadrant might look like, including an image taken directly from our data.

As a part of a larger collaboration, we are working to better understand the role of epistemological, or epistemic, framing in problem-solving in upper-division physics. Epistemic framing refers to how a task is perceived, particularly with regard to what knowledge and tools are necessary for completing the task. The particular theoretical framework that we are using considers framing along two dimensions: from conceptual to algorithmic and from math to physics. By putting these dimensions along two axes, we can map how an individual or group moves through this framing space (see Figure). For example, if one is discussing the properties of the physics quantities related to the problem at hand, they are framing this as more conceptual than algorithmic and more as physics than math. Thus, they would be somewhere in the upper right quadrant of this space.

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