A Case for Strategic Cognitive Offloading

Lately, I've been reflecting on cognitive offloading and its complicated relationships with learning and GenAI. Cognitive offloading speaks to "the act of using external tools or systems to reduce the mental effort required for a task." Well before GenAI burst into our classrooms uninvited, students had taken advantage of cognitive offloading in other forms: from calculators and equation sheets in mathematics (Not without controversy) to the periodic table of elements in chemistry class. Teachers and students alike have found spaces for cognitive offloading to occupy in the learning process.

When overleveraged, GenAI use could shift from cognitive offloading to cognitive delegation. Therefore, we, as educators, must be careful about what variety of cognitive offloading we are facilitating with our students. The other day, I read an article by TechEd expert Joanne Villis that distinguished between productive cognitive offloading and its opposite. According to the article, beneficial offloading means reducing unnecessary cognitive load so learners can focus on the important work of understanding, whereas detrimental offloading means bypassing the thinking required to build knowledge in the first place.

In my own classroom, I've been exploring how to facilitate beneficial cognitive offloading for my students via what I've termed "strategic cognitive offloading," an instructional design strategy which involves permitting students to offload some time-consuming tasks in order to emphasize the critical thinking components.

Here's how I implemented strategic cognitive offloading in my own classroom. In my Social Justice 12 class, I've been assigning a project in which students research a historical figure’s commemoration controversy by digging into the person's achievements and controversies. Students then write a report based on their research before adding an ethical judgment that essentially decides whether their figure’s existing commemoration, think statue or building name, should be removed, revised, or left as is.

The project itself was designed to develop this curricular competency from the Social Justice 12 curriculum:

Make reasoned ethical judgments about controversial actions in the past or present after considering the context and standards of right and wrong.

What I found is that, before, students spent the bulk of their time writing the report itself and only a modicum of time actually making a well-reasoned ethical judgment. With that in mind, I redesigned the assessment using strategic cognitive offloading to better align students' efforts with the research and ethical judgment components of the project. Rather than dedicating substantial class time to writing the report on their chosen figure, students could leverage Copilot to transform their point-form research findings into a cohesive report.

With the redesign, I also added a collaborative element. Students combined their research on a shared document and then, as a team, evaluated the report that Copilot generated for them. They discussed the AI output in terms of both quality and what it communicated about their figure’s historical legacy. Afterwards, they reconvened as a group and simulated a city council dynamic by sharing their personal stance on the commemoration controversy, voting on it, and then sharing their findings with the greater class.

After generating their report using Copilot, students printed it in preparation for the in-class write. They had a full class to write their ethical judgment on their commemoration controversy. The ethical judgments from this redesigned assessment were much more developed and sophisticated than those that came before, even though students spent a couple of class periods less completing the project. All in all, though less class time was dedicated to the project, richer learning was derived from it. For me, this proved to be an example of beneficial cognitive offloading. 

After finalizing their ethical judgments, I explained to students the "why" behind the project's strategic cognitive offloading. I noted that, while we saved class time by leveraging GenAI, we also lost some literacy development that would have occurred had they written the report themselves. That point shouldn't be lost: cognitive offloading, via GenAI, is always a give and take. Efficiency should never be a primary goal of instructional design; the preservation and amplification of deep thinking should. That being said, by offloading some of the writing for this project, its deep learning was underscored, and time that would otherwise have been lost was preserved for later critical thinking tasks.