Community Contribution 6

YouTube is one of the platforms I frequently use to explore topics that interest me. One feature I have noticed is how its recommendation algorithm gradually adjusts the videos shown on my homepage based on my viewing history and interests. For example, when I watch several videos about a particular topic, I start receiving more recommendations related to that subject. This makes it easier to discover relevant content without having to search for it myself.

However, this makes me question whether YouTube actually provides personalized learning. Bray and McClaskey (2015) emphasize that personalization involves learners actively directing their own learning based on their interests and goals. Although YouTube recommends content based on my preferences, the algorithm ultimately determines which videos appear on my homepage. Therefore, I think YouTube provides algorithm-driven content customization rather than fully personalized learning. It becomes more learner-directed when I actively search for information and choose what I want to explore.

This also connects to Self-Determination Theory, particularly autonomy and competence. YouTube supports my autonomy by allowing me to choose topics and explore different educational resources at my own pace. Watching tutorials and gradually understanding unfamiliar concepts can also strengthen my sense of competence. However, I sometimes find myself watching recommended videos that are interesting but unrelated to my original learning goals.

Overall, I think YouTube demonstrates both the benefits and limitations of personalization. Its recommendations can make learning more accessible and engaging, but they do not necessarily support meaningful learning. This experience has made me realize that personalization should involve more than providing content based on our interests. It should also give learners meaningful control over their learning goals and decisions.

References

Bray, B., & McClaskey, K. (2015). Make learning personal: The what, who, WOW, where, and why. Corwin.  ⁠https://doi.org/10.4135/9781483388090

Bulger, M. (2016). Personalized learning: The conversations we’re not having. Data & Society Research Institute.  ⁠https://datasociety.net/pubs/ecl/PersonalizedLearning_primer_2016.pdf