This project will develop upper elementary school students’ abilities to work with Artificial intelligence (AI) in future careers. AI will be a critical tool for influencing and increasing productivity in the future of work. As such, it is increasingly important to introduce K-12 students to basic AI knowledge and skills, build familiarity with AI technologies, and train students to be competitive in the workforce. Through this project, a team of robotics and education researchers at Tufts University in Massachusetts and Maryville University in St.

This project will host a workshop in order to identify and synthesize research findings from NSF awards that addressed the unanticipated effects of the COVID-19 pandemic on STEM teaching and learning. The interruptions from the pandemic had dramatic, widespread effects in education. Across the nation, teachers, students, parents, staff, and school administrators experienced extended school closures and a rapid and unexpected shift to virtual instruction.

Over 2.5 million children in the US are medically homebound. They are socially isolated, physically segregated, and current educational practices largely exclude them from their school communities. Telepresence robots have emerged as a possible means to support these children to return to their local schools, however, it is not yet understood how homebound children can effectively use these robots for optimal learning and social development experiences.

The project will develop and research an after-school program that is designed to increase the STEM career interests and motivations of Native American middle-school students.  Students will use digital technologies, including virtual reality (VR), augmented reality (AR), and 3D printing, to solve spatial design problems presented through the project’s culturally responsive, problem-based learning education modules.

This project will introduce young children to computational thinking, which involves breaking down complex problems into manageable pieces, identifying steps and sequences to solve the problem, and generalizing a solution to solve similar problems. Problem-solving skills are foundational and cut across science, technology, engineering, and mathematics (STEM) domains and disciplines. The project will research and develop an innovative mixed reality (MR) learning environment combining visual displays and a robot with programmable movement.

The Morehouse College's Innovative Science, Technology, Engineering, and Mathematics Work Force Development Project will engage minority male students in an active, inclusive learning community to enhance their interest in science and mathematics education and careers. The objective of the project is to shift from passive learning to active learning within the context of real-life problem-solving scenarios in order to promote academic success in middle school and high school and prepare students academically to attend a college or university.

Augmented reality (AR) allows the real world to be enhanced, or augmented, by computer-generated objects that are “added” to the real world. For example, a clothing store may use AR to allow a customer to “see” how clothes would look on them before they are purchased. This project at University of California San Diego will use AR to create an environment in which students can practice pair programming in an AR environment. Pair programming is a software development technique in which two programmers work together at one workstation, on the same piece of code.

Artificial intelligence (AI) technology applied to images and video is transforming society with broad applications to many social and economic sectors. To develop a citizenry that will participate in this technological revolution, it is essential to develop learning experiences for K-12 learners on the foundations of AI literacy in order to adequately prepare the workforce of the future. Supporting the teaching of AI concepts in the K-12 curriculum requires integrating knowledge from multiple disciplines.