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Prequestions likely work by increasing engagement and focus. They make students more attentive to the learning material.

“Their name is blue on Wikipedia” is a measure of importance.

AI literacy refers to the ability to understand, critically evaluate, and engage with AI technologies effectively. We can't develop it if we ignore these tools.

Effective scaffolding requires learners to have a grasp of the overall task or solution they are striving for. It's not about teaching isolated skills but about guiding students through a process.

Technology and pedagogy influence each other. Schools should recognize this relationship.

“A foolish faith in authority is the worst enemy of truth.”
― Albert Einstein

If you promote an idea, but your can't say how it might be wrong, then I'm not going to take you seriously.

“It is harder to crack prejudice than an atom.”
― Albert Einstein

Hey students... AI generated answers have the same format... certain text is bold, certain punctuation is used in certain places. That is your teacher's first sign that you had AI do your homework.

Education is a wicked technology, meaning it's a complex system with interconnected parts that constantly change. Unlike a simple machine, it can't be easily understood or controlled. Nor can it be easily measured.

Every solution is experienced in education. Unlike engineering where prototypes can be tested, implementing a new curriculum directly impacts students, making changes difficult to undo.

Naturalistic approaches to education acknowledge the complexity of learning and the active role of the educator in shaping the environment. They embrace diverse data and seek multiple perspectives. They are too uncommon.

Many students and teachers prefer easier study it feels easier but provides a false sense of progress.

The involvement of human judgment and control in the design, implementation, and operation of AI systems is essential.

AI-driven hiring is no more effective than traditional methods. This raises concerns about the potential for AI to exacerbate existing inequalities without offering significant improvements in hiring outcomes.

Learners often hold "naïve theories" about learning that can hinder the adoption of effective strategies.

If students are provided with predetermined categories for sorting, the activity is active. However, if students need to create their own categories based on understanding, the activity becomes constructive. Yes, it is harder to construct, but that is the point .

Data. If you don't define it before your start, it can't drive you decisions.

Interleaving is a learning strategy where you mix up different subjects or topics while you are studying, rather than studying one topic at a time. It feels more difficult (because it is), but it improves memory and understanding .

Passive learning: Students pay attention to information presented without actively manipulating or generating anything. Examples: listening to a lecture, watching a demonstration. Let's minimize this.

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