What works best in AI-based PBL projects


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    George PapageorgiouGeorge Papageorgiou

    Artificial intelligence has changed the learning landscape in many classrooms. Figuring out how to create and design demands self-directed learning opportunities. Project-based lessons encourage the kind of thinking and collaboration necessary for working with AI.

    To create engaged teams of learners in the classroom, include these takeaways:

    Interdisciplinary projects

    Students seldom remember lessons taught in isolation. They are far more likely to retain learning if it connects across multiple disciplines. When the brain has a chance to connect to new information many times and in different ways, the knowledge is more likely to become deeply embedded in memory.


    Learning is about being curious and taking risks. Allow students the opportunity to make mistakes and recover from them as part of the learning process. Provide sufficient time for exploration, discovery, and reflection.

    A focus on capacity

    AI is changing the focus on what’s important. Acquiring a lot of knowledge is no longer enough. Our students today have the knowledge of the world at their fingertips. They must know how and when to apply it, ethically and legally.

    In addition to creating interdisciplinary projects, remaining flexible, and building capacity, there’s one more thing you can do in the classroom. Encourage students to work with others from diverse backgrounds. Exposure to different ways of approaching a problem can be eye-opening for students.
    Incorporating AI in Project Based Learning will position your students as life-long learners that can problem solve in a modern world.

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