But many young people face signifcant economic, cultural, historical, and/or social obstacles that distance them from STEM as a meaningful or viable option— these range from under-resourced schools, race- and gender-based discrimination, to the dominant cultural norms of STEM professions or the historical uses of STEM to oppress or disadvantage socio-economically marginalized communities (Philip and Azevedo 2017). As a result, participation in STEM-organized hobby groups, academic programs, and professions remains low among many racial, ethnic, and gender groups (Dawson 2017). One solution to
As an emerging field of theory, research, and practice, STEAM (Science, Technology, Engineering, Arts and Mathematics) has received attention for its efforts to incorporate the arts into the rubric of STEM learning. In particular, many informal educators have embraced it as an inclusive and authentic approach to engaging young people with STEM. Yet, as with many nascent fields, the conceptualization and usage of STEAM is somewhat ambivalent and weakly theorized. On the one hand, STEAM offers significant promise through its focus on multiple ways of knowing and new pathways to equitable
Curiosity is a grant-funding programme from the Wellcome Trust with BBC Children in Need., and it provides funding to help youth organisations develop and deliver inspiring science activities for disadvantaged children and young people. This report looks at the key findings from the 32 projects funded during the first round.
The Round 1 projects were delivered by voluntary and community sector organisations, some of which were in partnership with ISL providers, and offered a variety of science opportunities from surveying local weather to building a green-powered race car. Many projects
Art and science represent two powerful human ways of investigating and understanding the natural and social world. Both are creative processes involving acts of observation, interpretation, meaning-making, and the communication of new insights. While standards of evidence may vary between the two fields, there are also many common practices. Many artists, for example, employ a range of computational, digital and engineering practices. Many scientists are guided in part by aesthetic considerations in the formulation of questions, theories, and models. In this report we share the results of a