Professional Development

Repository of project simulation tasks and data.

When designing a study, the sampling method for selecting research participants is an important decision with a host of considerations. When designing a professional development (PD) program with a limited number of spaces, the method of choosing participants from the applicants is also important. When research and professional development are entwined, sets of sampling criteria could conflict. Additionally, in a mixed methods study, such as the one undertaken by the researchers, additional trade-offs exist when considering the many potential methods of sampling and participant selection.

Most chemistry instruction and assessment lie in the symbolic domain of Johnstone’s representational levels, despite years of chemistry education researchers calling for increased emphasis to be placed on the molecular or particulate level of chemistry. Without a deep understanding of the particulate nature of matter and molecular-level interactions, meaningful chemistry understanding is nearly impossible. Understanding how molecules and other particles interact provides the necessary explanatory elements for predicting how chemical reactions will occur.

Weaving computer science into the fabric of social studies, rather than teaching it as an isolated skill, makes both subjects more relevant, engaging, and beneficial to students.

Berson, M. J., Berson, I. R., Franklin, K. L., Fawley, V. N., Shank, P. S., Dovi, R. E., Gasca, S., Hochberg, E. D., Berstein, D. (2024). Thinking critically, coding creatively: Elevating social studies through inquiry-based learning and computer science integration. Social Education, 98-103.

In today’s technologically complex and connected world, students’ needs to develop competencies and confidence with data have never been greater. A new On the Same Wavelength blog post shares work from a National Science Foundation project, Boosting Data Science Teaching and Learning in STEM. The authors describe effective practices for engaging all students with data in the classroom.

Perez , L. & Lionberger, K. (2023, May 3). Opening the door to data science in STEM classrooms. NextGenScience.

This self-reflective case study describes our project team’s efforts to promote equity in science professional learning (PL) by centering the voices of educators in the PL design process and within the course itself. We believe that educators’ experiences, priorities, and expertise are essential to developing professional learning that meets the needs of teachers and their students. We have a particular interest in amplifying the voices of those in historically underrepresented communities.

This study aimed to assess the effectiveness of a professional development program rooted in knowledge generation theory. Specifically, it sought to examine the changes in teachers' three orientations following the completion of the first-year workshop, and how these changes impacted their classroom implementation. This investigation takes the form of a multiple-case study of twelve K-5 teachers. Data were collected through semi-structured interviews and classroom observations.