The hottest Educational Policy Substack posts right now

And their main takeaways
Category
Top Literature Topics

Why Employees Quit

The Future of Education • 59 implied HN points • 28 Oct 24
🚌 Education Career development Educational Policy Learning Strategies Employee retention
  1. Many people quit their jobs because they don't find their work meaningful and don't feel valued by their colleagues or managers. To keep employees happy, companies should focus on providing fulfilling work experiences.
  2. People are leaving jobs despite being offered good pay because traditional hiring and retention strategies are not addressing their real needs. Employers need to look beyond just salaries and benefits to understand why employees leave.
  3. Relationships and connections in life matter a lot for both personal happiness and career success. It's important to nurture these relationships, as they can provide joy and future opportunities.

'Screen Schooled': Kids Should Learn to Use Brains, Not iPads

The Analog Family • 919 implied HN points • 09 Sep 24
🚌 Education Digital learning Child development Teaching Methods Technology impact Educational Policy
  1. Kids are spending a lot of their time on screens, often 9 hours a day, and mostly consuming content instead of creating it. This means they miss out on learning opportunities.
  2. It's important to recognize that technology sometimes distracts kids from actually learning. Just giving them gadgets doesn’t mean they will use them for education; they often just want to play.
  3. Basic skills are being lost because kids rely on technology for instant answers. They need to build knowledge and skills first, instead of just Googling everything.

It's hard to stop Math Acceleration once you start

Kids Who Love Math • 755 implied HN points • 15 Nov 24
🚌 Education Math education Child development Learning Styles Educational Policy
  1. Starting math acceleration at an early age can lead to kids getting really far ahead, even several years, if they enjoy it and continue practicing.
  2. Schools may not always know how to support kids who excel in math, leading to some frustration for parents trying to find help.
  3. It's important to check in with kids regularly about their interest in math, as their willingness to learn can change over time.

Confronting Hereditary Talent and Its Social Consequences

Holodoxa • 99 implied HN points • 14 Mar 23
📚 Literature Cultural Commentary Educational Policy Social Science Political Reform
  1. In his book _The Cult of Smart_, Fredrik deBoer argues against the notion that intelligence defines human worth, highlighting how society disproportionately rewards the academically gifted.
  2. DeBoer challenges the blank slate ideology, emphasizing the influence of genetic variation on cognitive traits over social or environmental factors, leading to implications in education and policy.
  3. DeBoer proposes societal reforms like universal healthcare and basic income to address the unequal distribution of inherited talents, challenging the idea of meritocracy as the ultimate goal for a fair society.

We really need better data

Something to Consider • 0 implied HN points • 06 Aug 24
🚌 Education Data Analysis Educational Policy Statistical Methods
  1. We need better data to answer important questions about education and healthcare. Good data helps us understand what really works and what doesn't.
  2. There are big gaps in our knowledge, especially in poorer countries. Without accurate information, we can't properly assess living standards or make informed decisions.
  3. Collecting reliable data should be a priority. New technologies, like satellite data, hold promise for improving how we gather and analyze information.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

The educational system is producing scions of machine anthropomorphism

Top Carbon Chauvinist • 0 implied HN points • 20 Aug 24
🚌 Education Teaching Methods Curriculum Development Educational Policy
  1. Educational systems are mixing up science and engineering, which can cause confusion. We should focus on understanding how things work and how to build better tools without merging the two ideas.
  2. Anthropomorphism, or giving machines human-like traits, is not helpful for technological progress. It's better to design machines for their specific tasks without trying to make them act like humans.
  3. Universities are continuing to teach outdated and incorrect ideas about machines. Educators need to correct these misconceptions rather than just pass them on to students.