Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Although recommendations exist for determining qualitative sample sizes, the literature
appears to contain few instances of research on the topic. Practical guidance is needed for …

In this essay, Elizabeth Birr Moje argues that educators can make radical change in student
learning and well-being if they reframe teachers' work with youth as less about meeting …

Measures of subject-related role identities in physics and math have been developed from
research on the underlying constructs of identity in science education. The items for these …

The National Science Foundation funded a synthesis study on the status, contributions, and
future direction of discipline-based education research (DBER) in physics, biological …

Computing education is in enormous demand. Many students (both children and adult) are
realizing that they will need programming in the future. This book presents the argument that …

Edited by a diverse group of expert collaborators, the Handbook of the Cultural Foundations
of Learning is a landmark volume that brings together cutting-edge research examining …

Background Methodology refers to the theoretical arguments that researchers use in order to
justify their research methods and design. There is an extensive range of well established …

Women and underrepresented minority (URM) undergraduates declare and complete
science, technology, engineering, and mathematics majors at different rates in comparison …

In this commentary, the author argues for building disciplinary literacy instructional
programs, rather than merely encouraging subject matter teachers to employ literacy …