Module 4 short reflection
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Machine learning, as a branch of artificial intelligence, has numerous benefits for learning, since the amount of information it can provide can be considered infinite. However, this same artificial intelligence causes the dehumanization of learning itself, failing to focus on such important aspects as the person. The machine and the artificial are placed above the person themselves.
I found the machine learning process really intriguing and had a lot of fun experimenting with Teachable Machine. Seeing how the model “learned” from my training data made the process feel very hands-on and clear. The class discussion about bias in data was especially helpful — it made me realise how easily a model can be thrown off by poor or limited data. Linking this back to the model we built really drove home how important diverse, high-quality data is for accurate predictions. I think this would make a fantastic lesson in my classroom and could really help children understand not just how AI works, but also the importance of fairness, and ethical thinking when using technology.
Machine learning tools can create interactive, immersive learning experiences that increase student engagement and motivation. These tools can help make education more accesible for students with disabilities, language barriers, or other challenges.
By leveraging machine learning, educators can create more effective, efficient, and personalyzed learning experiences that benefit students and improve educational outcomes.
By incorporating these approaches, students can develop a deeper understanding of AI/ML concepts while learning to think critically about their applications and implications.
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