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.

This poster provides a methodological overview of the Parents Promoting Early Learning Study's online approach to direct assessment of toddler's math skills during the COVID-19 pandemic. Preliminary data will be presented about the reliability and validity of our measures of children's numeracy and spatial skills. Additionally, we will highlight some of the challenges in conducting online assessments with a socioeconomically diverse sample of families during the pandemic.

Co-PI(s): Leanne Elliott and Portia Miller, University of Pittsburgh

Through DEAP, we have created three Problem-Solving Measures (PSMs) that address the Common Core State Math Content for grades 3, 4, 5, and 6 and built a robust validity argument for their use and score interpretations. We have also used vertical equating to link the PSMs with the already functioning middle-school PSMs (grades 6, 7, and 8). We are constructing a DEAP reporting system and investigating how the reporting system formatively informs teachers instructional decisions.

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.

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.

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.

This poster describes the outcomes, dissemination, and scaling of project work from "Fraction Activities and Assessment for Conceptual Teaching (FAACT)." We describe the results of a pilot study for FAACT, free curriculum materials, and how the work has been translated to a new game based project, Model Mathematics Education (ModelME). A link to an intro video for ModelMe's game based curriculum will be shared.

Co-PI(s): Matthew Marino and Michelle Taub, University of Central Florida