Connecting learning theory, technology, and real-world performance.
Most people enter education thinking technology is about the tools—the latest software, the newest tablets, or the most advanced simulators. For a long time, I saw it the same way. Coming from a career in USAF aviation, “technology” meant the airframe—the sensors, the systems, and the hardware of a reconnaissance aircraft.
As I begin my journey as a graduate student in instructional technology, that perspective is starting to shift. The Oxford Dictionary defines technology as “the application of scientific knowledge for practical purposes,” and that definition has pushed me to look beyond the hardware and focus more on the science behind how people actually learn.
Tools enable performance—but it is learning design that makes performance possible.
The Power of “Soft” Technology
One of the biggest takeaways for me this week has been understanding the difference between hard and soft technologies. In the classroom, hard technology is what we can see and touch—digital platforms, simulators, and devices. Soft technology is everything behind it—the instructional design, the learning theories, and the intentional choices we make as instructors.
I’ve started to realize that a high-fidelity simulator, while impressive, is only as effective as the design behind it. Without things like questioning that pushes thinking, structured feedback, or an environment where learners can safely make mistakes, even the most advanced tool doesn’t automatically lead to learning. Tools enable performance—but it is learning design that makes performance possible.
An Integrated Toolkit for High-Stakes Learning
I’m beginning to see learning theories less as abstract ideas and more as practical tools I can apply, especially in high-stakes environments:
Behaviorism for Accuracy: When there is a “right way” to perform a task under pressure, repetition and immediate feedback matter. These help build the confidence and consistency learners need before moving on to more complex skills.
Cognitivism for Retention: Learning isn’t just about doing something once—it’s about remembering it later. I’m learning to pay more attention to how information is structured so it doesn’t overwhelm learners and can be recalled when it matters.
Constructivism for Mastery: Following Dewey’s idea of learning through experience, I see my role shifting from delivering information to guiding the process. Through trial and error, like Thorndike described, learners build understanding that actually sticks.
Influences on My Approach
Several ideas from learning theory are starting to shape how I think about instruction. The Socratic Method stands out because it focuses on asking questions instead of just giving answers, encouraging deeper thinking and ownership. John Dewey’s emphasis on experience reinforces that people learn best by doing, which connects closely to Thorndike’s idea of learning through trial and error. Finally, Maria Montessori’s idea of a “prepared environment” provides the structure and space learners need to practice, make mistakes, and improve without unnecessary barriers.
A Philosophy in Progress
This reflects where I am right now—at the intersection of my experience as an aviator and my growth as a student of instructional design. I know my thinking will continue to evolve as I move through this program and gain more experience.
Right now, I see educational technology as a bridge. It connects the science of learning with the practical needs of the learner, helping ensure they can not only understand information, but actually use it when it matters.
Theoretical Influences
Dewey, J. (1997). Experience and education. Free Press. (Original work published 1938).
Montessori, M. (1964). The Montessori method. Schocken Books.
Paul, R., & Elder, L. (1997). Socratic teaching. Foundation for Critical Thinking.
Thorndike, E. L. (1911). Animal intelligence: Experimental studies. Macmillan.