Blog Post #1

One clear example of how different learning theories appeared in my own life comes from learning digital drawing on a computer. When I first started using drawing software, I had no formal art training and relied heavily on online tutorials and trial-and-error practice.

In the beginning, the learning process reflected elements of behaviorism. Many tutorials were structured as step-by-step exercises, such as practicing specific brush strokes, shading techniques, or line control. Immediate feedback played a key role—if a drawing looked incorrect, I adjusted my technique and tried again until the result improved. Repetition and reinforcement helped me build basic technical habits.

As I progressed, cognitivism became more apparent. I started learning concepts such as layers, lighting, composition, and color theory. These ideas required me to organize new information and connect it to what I already understood visually. Tutorials that explained why certain techniques worked helped me mentally structure my learning rather than simply copying actions.

With the time goes by, my learning shifted strongly toward constructivism. Instead of following tutorials exactly, I began experimenting with my own styles and projects. By actively creating original artwork and reflecting on mistakes, I constructed my understanding through experience. Learning became more meaningful when I applied techniques in real creative contexts rather than isolated exercises.

Finally, connectivism also played a role, as I learned through online communities, shared artwork, and feedback from others. Accessing diverse resources and knowing where to find help became just as important as the skills themselves.

This experience showed me that learning is most effective when multiple theories work together, depending on the learner and the context.