Explore how districts can build more inclusive computer science pathways while supporting the teachers who make them possible.
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EDTECH@UTRGV's curator insight,
October 2, 2:07 PM
"To understand microlearning strategically, it helps to stop treating it as a separate training category and start seeing it as a layer within the wider learning architecture."
EDTECH@UTRGV's curator insight,
September 29, 9:49 AM
"One of the most tempting approaches to AI governance is to focus primarily on accuracy. If a system reaches a sufficiently high accuracy threshold, the assumption is that it is ready for greater autonomy."
EDTECH@UTRGV's curator insight,
September 25, 8:26 AM
"An AI policy cannot fix an assignment that no longer asks students to do meaningful thinking."
EDTECH@UTRGV's curator insight,
September 18, 12:13 PM
"Much of the research used to warn about screens is correlational. Researchers compare estimated technology use with health or academic outcomes and identify an association. That can raise important questions, but it cannot prove that a screen caused the outcome."
Nik Peachey's curator insight,
September 19, 6:02 AM
People keep saying, “The research shows screens hurt students.” Which screens? Used by whom? To do what? For how long? Instead of what? Without those answers, “screen time” tells us almost nothing about learning. |
EDTECH@UTRGV's curator insight,
October 2, 3:12 PM
"AI has developed something of a Dr. Jekyll and Mr. Hyde problem. The same technology that is delivering extraordinary productivity is raising very real questions about access, control and unintended actions."
EDTECH@UTRGV's curator insight,
October 2, 1:21 PM
"Some studies suggest that AI tools can help people to learn if, rather than supplying ready-baked answers, they give feedback or tasks that encourages students to think and problem-solve. 'It’s about how we structure the task'”
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