Blog Post #1 – Motivation Autopsy

One technology-mediated learning experience that I began but did not complete was an online data analytics course sponsored by Microsoft Coursera. I enlisted with genuine curiosity and positive intentions, but my motivation diminished with time, and I eventually quit participating completely. Initially, I was driven by creating value and self-improvement. The course highlighted practical skills that were relevant to my academic and professional aspirations, plus the convenience of asynchronous learning attracted me. I liked the concept of learning at my own pace and fitting the course around my previous responsibilities. At first, the content seemed worthwhile, and I expected the time investment to be beneficial.

My motivation began to shift a few weeks into the course. The course structure soon became repetitious and rigid. Each module followed a similar format: lengthy readings, pre-recorded lectures, and brief exams that assessed surface-level recollection rather than comprehension. There were no clear milestones beyond “complete the next module,” thus progress felt invisible and unsatisfactory. Additionally, having no deadlines and being free to go at my own speed was not helpful.

Several design elements contributed to my disengagement. While the course was theoretically self-paced, I had little control over how I interacted with the content or demonstrated learning with timing restrictions. Second, the absence of genuine feedback degraded competency. Quiz results were automatically generated, and there was no explanation for bad answers, making it difficult to gain confidence or progress. Third, there was virtually little sense of relatedness. Discussion forums did not exist providing no true sense of connection with other students or professors.

According to motivation theory, this event did not effectively satisfy the primary learner needs described in Self-Determination Theory. While relevance was apparent at the outset, it was not maintained through compelling tasks or genuine application. Expectancy-worth Theory also helps to explain my disengagement: as the course continued, the effort required seemed to outweigh the perceived worth of continuing.

The experience may have been built differently to allow for greater learner choice, such as numerous topic pathways or project-based evaluation possibilities. Regular, formative feedback and opportunities for peer engagement may have aided competency and relatedness. Clear progress indicators and real-world application activities may also have helped to maintain motivation. Finally, this motivation autopsy demonstrates how disengagement is frequently caused by poor learning design rather than a lack of learner motivation.