Master of Public Health (MPH) students gain practical skills and career experience through the public health Integrative Learning Experience (ILE). The ILE can be an internship at a leading public ...

In “Teaching in an Age of ‘Militant Apathy’” (The Chronicle, February 15), you ask if immersive education can become the norm when traditional curricula ignore students’ lived experiences. You make an ...

The National Academies of Sciences, Engineering, and Medicine are the nation's pre-eminent source of high-quality, objective advice on science, engineering, and health matters. Top experts participate ...

What are the moments in your PK-12 education that were transformative, or had the most lasting impact on you? It’s fascinating to hear people describe these powerful learning moments, which we refer ...

As education becomes more an experience of learning in the digital age, technologies play a pivotal role in reshaping the learning experiences of K-12 students. From interactive applications to ...

Applied learning is a practical approach that is supported by research to increase student motivation, foster student-centered instruction, and provide real world application. It is also an ...

Examples of leveraging technology in K-12 learning showcase innovative ways to engage students. From interactive apps and virtual field trips to adaptive learning platforms, these tools enhance ...

The new “question-of-the-week” is: How can teachers maximize the learning potential of field trips? Field trips are often the highlights of the year for students. At the same time, these field trips ...

Policymakers must work alongside educators and industry leaders to develop high-quality, equitable work-based learning models that bring these opportunities to more students. These are all examples of ...

'I'm not gonna do this again', we often say when faced with negative feedback, adverse effects, or disappointing outcomes. Thus, we attempt to learn from such negative experiences. This principle is ...

You may have heard about deep learning and felt like it was an area of data science that is incredibly intimidating. How could you possibly get machines to learn like humans? And, an even scarier ...