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Asimov's Three Laws of Robotics outline foundational rules for robots: no harm to humans, obey human orders (unless conflicting with rule 1), and protect self (unless conflicting with rules 1 or 2).

Learning Analytics can operate at four levels: Descriptive (what happened?), Diagnostic (why?), Predictive (what will happen?), and Prescriptive (what action to take?). Each level builds upon the last.

is reshaping education and the fundamental relationship between technology & humans. It's considered essential for the education ecosystem, preparing future generations.

Empirical support for ICAP shows that I>C>A>P learning effectiveness is consistent with pair-wise predictions. Many studies support the idea that Interactive, Constructive, & Active are better than Passive.

Extraneous Cognitive Load is imposed by instructional procedures that unnecessarily increase element interactivity. Good instruction aims to reduce this.

Biologically secondary knowledge, like reading or most school subjects, requires explicit instruction and conscious learning because we haven't evolved to acquire it automatically.

Biologically primary knowledge, like learning to speak, is acquired automatically, without explicit tuition or conscious effort.

Knowledge can be split into two categories: biologically primary (evolved to acquire, generic) and biologically secondary (cultural, domain-specific).

Variables that affect how innovations "happen" in schools: improvement (solving the problem), ease of use, perceived value (addressing the organizational understanding of the problem), and demonstrability (effectiveness perceived by others).

School leaders find technology planning to be an area of weakness despite the prevalence of digital tools in schools. They struggle to make decisions that are appropriate for the classroom, aligned with policies, and supported by available resources.

Contrary to intuition, forgetting is not the enemy of learning. In the adaptive system of human learning and memory, forgetting can actually provide opportunities for enhanced learning.

Making things "Hard on Yourself, But in a Good Way": Desirable difficulties involve implementing learning strategies such as varying the conditions of study, interleaving different topics, spacing out study sessions (instead of massing them), and using tests or retrieval practice as learning events.

Integrating ChatGPT effectively means considering its role in the learning context, facilitating collaboration, fostering conversation, and supporting active knowledge construction.

ChatGPT can be a tool for problem-solving, facilitating critical thinking, experimentation, and supporting learner-centered approaches like project-based learning.

ChatGPT can boost productivity for teachers and students by aiding research, writing, brainstorming, and reducing administrative tasks.

Educators must explore how to integrate ChatGPT effectively, considering its potential benefits and disruptions, rather than banning it.

Teachers can easily incorporate prequestions! Present them on whiteboards, in presentations, or through online quizzes before a lesson.

Students who received prequestions were more likely to include prequestioned information in their notes. This further supports the attention-focusing aspect of prequestions.

Why attempting to answer matters: Actively attempting to answer, even through guessing, seems to activate prior knowledge and create a framework for new info. Merely reading prequestions may not be enough.

Requestioning: Asking students questions before they encounter learning material enhances their learning and retention of that material.

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