Developing a Next Generation Concept Inventory (NGCI)
This project developed a tool for assessing environmental students' foundational knowledge and their ability to grasp complex systems-level concepts, particularly as it relates to Food-Energy-Water (FEW) Nexus systems. Specifically, they applied an established machine learning method to create a Next Generation Concept Inventory(NGCI) to Help Environmental Programs Evaluate Student Knowledge of Complex FEW Systems. SERC served as the external evaluator, using interviews and artifact analysis to conduct a process and summative evaluation.
