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 ...

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 ...

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 ...

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 ...

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 ...

Micah Castelo is a web editor for EdTech: Focus on K-12. Her experience includes education and community news coverage for the Syracuse Post-Standard and international news reporting for the Pulitzer ...

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 ...

Two years ago, four instructional designers in the University of California System decided to undertake a research project on “mobile learning.” Their first order of business: figure out what that is.

David Rose and Anne Meyer, developers of Universal Design for Learning, assert that there is no such thing as an "average learner." No two students have the same abilities, challenges or preferences, ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

Machine learning is a branch of computer science that teaches computers to 'learn' patterns from data instead of being programmed step by step. Think of it like this: instead of telling a computer ...