Not exact matches
Working professionals with expertise in
math and science who come from diverse
backgrounds and bring other
knowledge and skills honed over years in the workplace are a largely untapped source of potential high - performing teachers.9 In order for professionals to make the shift to teaching careers, they need to be aware of the opportunities available, which is recruitment's role.
It's generally easier to raise the performance of low - income students in
math, probably because
math doesn't require the
background knowledge and vocabulary that reading comprehension does.
Critical student needs: How technology can support
math learning Based on conversations with with a diverse group of educators and edtech decision - makers, we believe that technology is especially well poised to create an impact on middle and high school
math by making learning accessible to students of all abilities and cultural
backgrounds, providing age - appropriate scaffolding for underdeveloped foundational concepts, enabling rich social interactions with peers and teachers, encouraging growth mindset, metacognition and agency, and creating opportunities to apply
knowledge to real - world challenges.
Low - income students generally score lower on rigorous tests, especially in subjects other than
math, largely because they lack
background knowledge and vocabulary when compared to their more affluent peers.
Re long vs. short: «I come here specifically for the reason that working scientists give the subject matter a detailed treatment while bringing it down a notch that non-subject matter experts can understand with a little work and little
background knowledge of
math & science.»
The problems with Spencer's arguments take some
background knowledge to recognize, so I'm going to start at a pretty basic level, just as he does in his book, but then go beyond his explanations in the book by including a little more
math.
Learning climate science, even a little of it, is difficult — even if you have extensive
knowledge of
math and a solid
background in physics, with a keen interest in the subject.
Significantly, the
background experience of individuals in business and data analyst positions may be relatively similar; a strong
knowledge of computer science, as well as advanced modelling statistics, analytics and
maths capabilities.