Science

Despite widespread agreement about the importance of teacher professional development (PD), translating what is learned in PD to classroom practice remains challenging. Guided by Self Determination Theory, this study examines how PD facilitators, including pedagogical coaches and university faculty, support the three basic needs for autonomy, competence, and relatedness for teachers' intrinsic motivation as learners in PD focused on reform-based science instruction. Study findings include high-leverage practices that facilitators can use to support teacher motivation.

MOSART HS PS developed assessment tools based on both NRC Standards and NGSS for high school chemistry and physics. The 500 new test items were combined into instruments and validated by content experts. Comprehensive data from a nationally representative sample of 12,000 high school students and their teachers measures the content knowledge of both groups and allows the estimation of item characteristics. Pre- and post-tests associate yearly knowledge gains with teacher characteristics and pedagogies used.

Our vision is to make computational modeling a sustained practice in middle school science classrooms. We are working closely with teachers to design a tool and curricula that integrate computational modeling with data practices and enables students to move towards unpacking models and their underlying assumptions. Our research questions involve investigating 1. students modeling trajectories in this environment; 2. how classrooms norms develop over time; and, 3. the interplay between computational modeling and data practices.

Aqualab is an online video game to teach scientific practices in the context of life sciences for middle school. Students use science practices of experimentation, modeling, and argumentation to investigate questions related to aquatic ecosystems. The project is developing and scaffolding layers of science practices within the gameplay, and exploring how learning progressions can be empirically derived from game data. The findings will be used to create personalized interventions to improve student learning outcomes.