The Framework for K-12 Science Education has set forth an ambitious vision for science learning by integrating disciplinary science ideas, scientific and engineering practices, and crosscutting concepts, so that students could develop competence to meet the STEM challenges of the 21st century. Achieving this vision requires transformation of assessment practices from relying on multiple-choice items to performance-based knowledge-in-use tasks. However, these performance-based constructed-response items often prohibit timely feedback, which, in turn, has hindered science teachers from using these assessments. Artificial Intelligence (AI) has demonstrated great potential to meet this assessment challenge. To tackle this challenge, experts in assessment, AI, and science education will gather for a two-day conference at University of Georgia to generate knowledge of integrating AI in science assessment.
Projects
This project will examine how partnerships among state science leaders, education researchers and education practitioners cultivate vertical coherence and equity in state science education.
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.
Today’s schools are experiencing increasing cultural and linguistic diversity and facing the challenge of creating meaningful connections between school science and student lived experiences outside of school. Middle school is a critical time to provide fundamental knowledge and encourage interest in STEM careers. In order to best impact learners during this critical period, science teachers need improved models to support the development and delivery of relevant curriculum materials to better serve all students in their classrooms. Highly supported design teams consisting of researchers, teachers, and both school and district science specialists will co-adapt existing district-generated science units to integrate socially and culturally relevant science practices and draw on students' diverse cultural and language practices as strengths.
The Elementary Mathematical Writing (EMW) Task Force was made up of educators with unique perspectives about elementary mathematical writing and with the goal to reach a consensus about and priorities for the types of and purposes for elementary mathematical writing. The EMW Task Force met in October 2015, analyzed elementary writing prompts and samples, standards documents, and recommendations, and identified four types of mathematical writing and their associated purposes: Exploratory, Informative/Explanatory, Argumentative, and Mathematically Creative.
This project brings together education researchers, high school science teachers, research scientists, and community-based organizations as co-design teams to modify science curriculum materials to be justice- and community-oriented. Building on existing partnerships between education researchers and 11 science teachers in two districts in Illinois, project teams will engage in cycles of curriculum analysis and adaptation over the course of 3 years. These professional learning cycles will develop pedagogically relevant content expertise, such as deepened understanding of locally relevant science phenomena, as well as infrastructure for community-engaged science instruction.