Classroom Professional Learning STEM Technology 
Edsurge
MAY 15, 2024
STEM identity can last a lifetime and help students thrive in school, future careers and life. Inclusive STEM programs widen job opportunities for the growing technology sector, support students in building digital literacy skills and empower young people to become creators — not just consumers — of technology.
The CoolCatTeacher
MAY 14, 2019
Rachael Mann on Episode 492 The first person to walk on Mars has already been born and is in our classrooms today, so the experts tell us. He or she could be in your classroom or mine. Today we talk to Rachael Mann, author of The Martians in Your Classroom: STEM in Every Learning Space.
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Edsurge
MAY 8, 2024
In a time when technological advancements shape our daily lives and drive economic growth, focusing on STEM (science, technology, engineering and mathematics) education in K-12 schools is not just a trend but a necessity. Initiatives like the U.S.
Edsurge
SEPTEMBER 25, 2023
Research has found that effective professional development is content-focused, incorporates active learning and supports collaboration. When teachers have this kind of professional learning that is relevant to their work and professional goals, they have improved job satisfaction.
edWeb.net
NOVEMBER 10, 2023
Watch the Recording Listen to the Podcast As the demand for STEM skills grows, so too does the question of if and why we need it in the classroom. Valenzuela explained that project-based learning+ (PBL+) got its name from how it encourages students to focus on life skills, in addition to academics and STEM.
Digital Promise
MAY 4, 2021
I learned that it was deeper than simply understanding content: Students had not developed the mindsets or foundational skills necessary to tackle complex problems in STEM. Preliminary research suggests that design thinking improves metacognition in K-12 students, and ultimately improves STEM performance.
Waterford
APRIL 15, 2024
Mitigate bias through accountability AI technologies, like any tool, are not neutral. The biases inherent in algorithmic tools and their underlying datasets stem from their human creators. Utilizing diverse perspectives can help identify and address biases in the dataset collection process.
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