This project will provide curricular and pedagogical support by developing and evaluating teacher-ready curricular Digital Internship Modules for Engineering (DIMEs). DIMES will be designed to support middle school science teachers in providing students with experiences that require students to use engineering design practices and science understanding to solve a real-world problem, thereby promoting a robust understanding of science and engineering, and motivating students to increased interest in science and engineering.
Understanding probability is essential for daily life. Probabilistic reasoning is critical in decision making not only for people but also for artificial intelligence (AI). AI sets a modern context to connect probability concepts to real-life situations. It also provides unique opportunities for reciprocal learning that can advance student understanding of both AI systems and probabilistic reasoning. This project aims to improve the current practice of high school probability education and to design AI problem-solving to connect probability and AI concepts. Set in a game-based environment, students learn and practice applying probability theory while exploring the world of probability-based AI algorithms to solve problems that are meaningful and relevant to them.
The fundamental purpose of this project is to support teacher practice and professional learning around oral scientific argumentation in order to improve the quality of this practice in classrooms. The key outcome of this work will be a research-informed and field-tested prototype to improve the quality of teaching and learning argumentation in middle school science classrooms usable in different learning environments.