Assistant Professor, STEM Education/Science
Joshua M. Rosenberg (PhD, Michigan State University) is an assistant professor of STEM education and faculty fellow at the Center for Enhancing Education in Mathematics and Sciences at the University of Tennessee, Knoxville. His research focuses on how learners think of and with data, particularly in science education settings. Professor Rosenberg tries to understand how practices such as creating, representing, and modeling data create new opportunities for learning how to use data to pose and answer questions about scientific phenomena. In addition to how learners think of and with data, Professor Rosenberg is also interested in student engagement across a range of STEM learning environments and the use of technology in education, particularly for teacher professional development. As a part of this work, Professor Rosenberg makes use of quantitative methods, such as multi-level models for analyzing data collected through the experience sampling method, and newer approaches, such as social network analysis to analyze teachers’ conversations on social media. Professor Rosenberg has been awarded more than three million dollars in federal grants as principal investigator (PI) or co-PI and has published in outlets such as Journal of Research in Science Teaching, Computers & Education, and Teaching and Teacher Education.
Professor Rosenberg teaches classes in science and STEM education, educational technology, and research methods. In his classes, Professor Rosenberg aims to involve students in authentic practices from the field of study. For example, in teacher education classes, this plays out through giving students opportunities to both participate in as well as plan and enact activities focused upon engaging in scientific and engineering practices. In graduate-level classes, Professor Rosenberg focuses on scholarly practices, particularly critiquing and contributing to ongoing conversations about educational policy and practice. He also teaches data science and statistical methods to students in his research group and in research methods courses, with an emphasis on R.
Research interests: Science education, science teacher education, data science education, computer science education, computational research methods
Research Group Website: https://makingdatasciencecount.com