The MS in Science, Technology, Engineering and Mathematics (STEM) Education prepares students for careers as researchers and educators who will contribute to improving STEM education.
STEM Education is an interdisciplinary program that involves collaborations with the Tufts departments of Child Study and Human Development, Sociology, Biology, Chemistry, Mathematics, and Physics & Astronomy, as well as Chemical and Biological Engineering, Civil and Environmental Engineering, Computer Science, and Mechanical Engineering. Faculty and students in STEM Education also work with the Institute for Research on Learning and Instruction (IRLI) and the Center for Engineering Education and Outreach (CEEO).
As a student in the program, you'll develop a deep understanding of the theory and research on learning, development, and teaching; cognitive science; and the sociocultural foundations of education. As you work on research alongside faculty and peers, you'll also grow your skills in research methods that will help you contribute to new theoretical insights and practical approaches to education. You'll also learn to communicate and disseminate your research through different mediums.
Alumni of the MS in STEM Education work on the development and implementation of research, curriculum materials, and educational activities in settings such as schools, research centers, museums, industry, cultural institutions, and community agencies. Graduates are also well prepared to go on to further graduate studies in doctoral programs.
We strongly recommend that applicants explore current faculty research and reach out to potential mentors and the Program Director prior to submitting an application.
See Tuition and Financial Aid information for GSAS Programs. Note: This program is eligible for federal loans and Tufts tuition scholarships.
Average Age: 26
*Sources: GSAS-SOE Graduate Exit Survey 2020 - 2021 and Academic Analytics (Alumni Insights)
Research/Areas of Interest: Chemistry and STEM Education. In order to understand how and why successful teaching and learning of chemistry at the university level works, the Caspari research group focuses on analyzing students', teaching assistants' (TA), learning assistants' (LA), and instructors' reasoning, interactions, and culture. The group collects video data of classroom practices and conducts qualitative research interviews with instructors, TAs, LAs, and students to better understand how certain interactions and ways of reasoning lead to student sense making and learning. While zooming in and investigating how students connect aspects of chemistry, the group also zooms out and investigates classroom culture and how individual interactions and personal experiences integrate into larger systems of teaching and learning. The group uses this fundamental research as a theoretical basis for implementing teaching innovations and designing training opportunities in order to promote supportive learning environments for students that value and encourage their unique ways of being, knowing and doing.
Research/Areas of Interest: Brian's research focuses on students' representational practices in science and engineering studied using design-based research on learning technologies and socio-technical learning environments. This work builds from the development of SAM Animation, which is stop-motion animation software developed at the Center for Engineering Education and Outreach. Brian co-developed SiMSAM: a multi-representational toolkit to support creative computational modeling activities for middle grades learners. Curious about design, play, and making, his work involves partnerships with researchers and educators to explore dimensions of STEM learning at the intersections of people, materials, representations, and cultures. One such example is starting Nedlam's Workshop in 2014, a makerspace in an urban high school that emphasizes multidisciplinary inquiry. Through this work, he developed both empirical and theoretical contributions focused on heterogeneous design, STEM literacies in making, and analyses of how communities of makers organize to support each other's practices. Collectively, his research complicates and expands the field's understandings of how inquiry unfolds in making contexts, and how makerspaces can be a site for equitable and dignified participation in STEM. Brian's newer work involves teachers engaging in playful computational making to study how they (re)negotiate relationships to inquiry, disciplines, computational tools, and heterogeneous ways of knowing. This includes the exploration of geographies of care and responsibility that support STEM learning environments that center wellbeing. His scholarship examines the many facets of making and making spaces in schools, both in the United States and abroad. Brian's collaborative research has been funded by the National Science Foundation, the LEGO Foundation, and the Spencer Foundation. Selected Publications Gravel, B. E., & Puckett, C. (2023). What shapes implementation of a school-based makerspace? Teachers as multilevel actors in STEM reforms. International Journal of STEM Education. https://doi.org/10.1186/s40594-023-00395-x Gravel, B. E., & Svihla, V. (2021). Fostering heterogeneous engineering through whole-class design work. Journal of the Learning Sciences, 30(2), 279–329. https://doi.org/10.1080/10508406.2020.1843465 Gravel, B. E., Tucker-Raymond, E., Wagh, A., Klimczak, S., & Wilson, N. (2021). More than mechanisms: Shifting ideologies for asset-based learning in engineering education. Journal of Pre-College Engineering Education Research 11(1), 276–297. https://doi.org/10.7771/2157-9288.1286 Tucker-Raymond, E., & Gravel, B. E. (2019). STEM literacies in makerspaces: Implications for learning, teaching, and research. Routledge.
Research/Areas of Interest: Research on learning and instruction. My research is on learning and teaching in STEM fields (mostly physics) across ages from young children through adults. Much of my focus has been on intuitive "epistemologies," how instructors interpret and respond to student thinking, and resource-based models of knowledge and reasoning.
Research/Areas of Interest: Engineering education; Diversity, equity, and inclusion; team-based engineering pedagogies; engineering design thinking
Research/Areas of Interest: The psychology of mathematical thinking, teachers' and students' understanding and use of inscriptions, multiplicative reasoning, applications of psychometric modeling for assessment and research in mathematics education.
Research/Areas of Interest: engineering education research, learning and engagement in the university classroom, development of disciplinary practices, instructional design and technology development, instructional practices, organizational change, social practice theory
Research/Areas of Interest: cognition and learning sciences, science education, engineering education, diversity and identity, technology and education, language and cognition, multicompetence
Research/Areas of Interest: learning sciences, engineering education, design practices, classroom discourse, engineering knowledge construction