AI, education, tools, and the ideas that connect them.
NotebookLM specializes in text analysis, but by using preprocessing methods to convert images and videos into text, you can integrate multimedia sources for unified analysis. This post introduces practical methods applicable in educational settings.
Algorithms are not neutral. The values of those who built them, the inequalities of society, and the prejudices of history are embedded in the code. This post analyzes the nature of algorithmic bias through a humanistic lens and considers how educators should respond.
Using an AI summary as-is produces someone else's writing; not using it at all wastes time. Rewriting is the technique that avoids both pitfalls β the true path to developing writing ability.
Upload accumulated parent consultation logs to NotebookLM and the AI will analyze recurring concern patterns, frequently asked questions, and individual student progress over time. This post shows how to raise the quality of consultations while reducing teacher preparation time.
In an era when the belief that data and algorithms can explain everything is growing, we must rediscover the value of intuition built from decades of experience. This post explores what human intuition is and why it remains precious.