This project will synthesize existing literature on modeling-based instruction (MBI) in K-12 science education over the last three decades. It will rigorously code and examine the literature to conceptualize the landscape of the theoretical frameworks of MBI approaches, identify the effective design features of modeling-based learning environments with an emphasis on technology-enhanced ones, and identify the most effective MBI practices that are associated with successful student learning through a meta-analysis.
Achievements and Challenges of Modeling-based Instruction (ACMI) in Science Education: from 1980 to 2009
Syracuse University (SU), University of Georgia (UGA)
University of Miami (UM)
This project aims to build elementary age students' content knowledge in robotics and computer science more broadly by fostering their disciplinary engagement and participation within a humanoid robots-programming environment. Fourth and fifth grade students will participate in a semester long course with a final project that involves bringing the robot to classrooms of first and second grade students to demonstrate the robot's capabilities and promote their disciplinary engagement with robotics and computer science.