A Framework for the Design and Development of Adaptive Agent-Based Simulations to Explore Student Thinking and Performance in K-20 Science

Abstract

In this paper, we describe the design and development of an agent-based modeling and simulation framework to support adaptive science learning based on modeling and simulation using NetLogo. This exploration is informed by the need for new curricular resources aligned with the modern vision of science teaching and learning, as put forth by the National Research Council’s Framework for K12 Science Education [1]. This paper seeks to support the development of interactive, adaptive resources for science education that meet the 3-Dimensional expectations of science education described in the National Research Council’s Framework. In addition to the primary focus on the student learning experience, the Framework for Agent-Based Adaptive Learning in Science (FABALS) considers both the developer and practitioner perspectives. As such, the modeling and simulation development framework and modular procedures for facilitating the adaptive training were developed with technological, pedagogical, and curricular perspectives in mind.