Ask a Tech Teacher
FEBRUARY 4, 2022
These include critical thinking and self-directed learning, while there’s also evidence to suggest that simulation translates into a deeper understanding of even complex subjects when compared with the traditional, lecture-only class model. #2.
ED Surge
FEBRUARY 16, 2022
On this week’s EdSurge Podcast, we dig into education and the metaverse, with Kathy Hirsh-Pasek, a professor of psychology at Temple University and one of the authors of that new Brookings paper. That's not what real learning is about. Real learning is deep learning, not superficial learning.
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ED Surge
NOVEMBER 17, 2023
Brain science research is increasingly bolstering the idea that math instruction rooted in culturally relevant problem-solving helps students draw from their lived experiences and activates distinct areas of the brain, producing durable and deep learning.
User Generated Education
NOVEMBER 14, 2015
“Curiosity’s most distinguishing characteristic is its open willingness to explore….” ( Cultivating Curiosity in Our Students as a Catalyst for Learning ). A recent research study found a connection between curiosity and deep learning: The study revealed three major findings. The future belongs to the curious.
Futurum
SEPTEMBER 19, 2023
Hadi Hojjati, a PhD student working on this topic under supervision of Professor Narges Armanfard, is developing advanced AI algorithms that can analyse massive amounts of health data to ensure healthcare professionals can make the most of these smart home technologies. How is epilepsy detected?
STEM Sport
MAY 9, 2024
Outside of her research, she is a professor at the University of California, Berkeley, where she shares her passion for research with students and is a key role model for female students in science. She is now a professor at the Perimeter Institute while continuing her passion for exploring new, uncharted areas in STEM. Dr. Carolyn R.
Futurum
DECEMBER 6, 2022
At the University of Technology , Sydney, Australia, Professor Chin-Teng Lin is on the frontline of pioneering the development of such systems. Professor Chin-Teng (CT) Lin works at the University of Technology Sydney. The accuracy of machine learning provides another limitation, though this is a rapidly advancing field.
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