Final Summative Product!
Hi everyone, my partner Parmis and I have finished our final summative product from our inquiry process. We have created a whiteboard animation using Canva Premium. We used an app extension on Canva called Speed Painter to create these animations.
I hope you enjoy watching it as we reflect on our inquiry process and explore our main question: How does online technology influence self-diagnosis?
While creating our final product, we encountered some issues with the app extension. To overcome these challenges, we spent time exploring tutorials on YouTube and even TikTok to learn the process. Overall, I really enjoyed working on this project. Even when things didn’t go smoothly at first, it forced us to learn new skills and find creative ways to work through problems.
References:
Banner Health. (n.d.). TikTok self-diagnoses on the rise: Why it’s harmful.
Columbia University. (n.d.). Understanding algorithms.
Johns Hopkins Medicine. (2023). Social media and self-diagnosis.
Mood & Mind Centre. (n.d.). Self-diagnosing through TikTok.
National Center for Biotechnology Information. (2020). Digital health literacy and its implications.
National Center for Biotechnology Information. (2022). ADHD-related content on TikTok
National Center for Biotechnology Information. (2023). Digital divide and health literacy.
National Center for Biotechnology Information. (2023). Artificial intelligence in healthcare.
National Center for Biotechnology Information. (2025). Future of AI in healthcare systems.
PubMed. (2018). Cyberchondria.
PubMed. (2015). Effects of online health information.
Stanford Institute for Human-Centred AI. (n.d.). Social media algorithms and mental health.
University of Chicago. (n.d.). Health information on TikTok.
University of Colorado Denver. (n.d.). Down the rabbit hole of self-diagnosis in mental health.
University Health. (n.d.). The pros and cons of self-diagnosing online.
Waterloo University. (n.d.). AI’s medical diagnostic skills still need checking.
