We share a case study of a 10-year makerspace design process and identify key features for sustaining community–museum relationships over an extended period of work, which we call community-informed design
Successful peer-to-peer practices in informal science learning (ISL) are often not well defined, but further investigation has the potential to help uncover how to motivate and scaffold children's joint learning in science and engineering. Team Hamster!, a PBS KIDS interactive digital series that helps youth think creatively and use engineering skills to solve problems with everyday tools, will be used to achieve the goals of this project.
The Kaulele Kapa Exhibit was created to explore the effectiveness of a Hawaiian culture-based framework and approach in increasing learner engagement and depth of knowledge in STEM among Native Hawaiian/Pacific Islander (NHPI) learners. The exhibit utilized hands-on and interactive activities, coupled with scientific and cultural information, to create relevant learning experiences for these communities. To determine the effectiveness, exhibit attendees were invited to complete a survey that asked about how the exhibit influenced their interest and understanding of STEM and Hawaiian culture
This essay centers on the voices of leading scholars in science and STEM education on how equity can and should be centered in reviewing proposals for granting organizations.
BACKGROUND: Environmental health risks are disproportionately colocated with communities in poverty and communities of color. In some cases, participatory research projects have effectively addressed structural causes of health risk in environmental justice (EJ) communities. However, many such projects fail to catalyze change at a structural level.
OBJECTIVES: This review employs Critical Interpretive Synthesis (CIS) to theorize specific elements of participatory research for environmental health that effectively prompt structural change in EJ communities.
METHODS: Academic database search
Artificial Intelligence (AI), the research and development of machines to mimic human thought and behavior, encompasses one of the most complex scientific and engineering challenges in history. AI now permeates essentially all sectors of the economy and society. Young people growing up in the era of big data, algorithms, and AI need to develop new awareness, content knowledge, and skills to understand humans’ relationships with these new technologies and become producers of AI artifacts themselves.
YR Media and MIT’s Understanding AI project researched and developed innovative approaches to