Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data
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TEAM MEMBERS:
Remy DouHeidi CianZahra HazariPhilip SadlerGerhard Sonnert
Having a central scientific language remains crucial for advancing and globally sharing science. Nevertheless, maintaining one dominant language also creates barriers to accessing scientific careers and knowledge. From an interdisciplinary perspective, we describe how, when, and why to make scientific literature more readily available in multiple languages through the practice of translation. We broadly review the advantages and limitations of neural machine translation systems and propose that translation can serve as both a short- and a long-term solution for making science more resilient
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Emma SteigerwaldValeria Ramírez-CastañedaDébora Y C BrandtAndrás BáldiJulie Teresa ShapiroLynne BowkerRebecca D Tarvin
Counterspaces in science, technology, engineering, and mathematics (STEM) are often considered “safe spaces” at the margins for groups outside the mainstream of STEM education. The prevailing culture and structural manifestations in STEM have traditionally privileged norms of success that favor competitive, individualistic, and solitary practices—norms associated with White male scientists. This privilege extends to structures that govern learning and mark progress in STEM education that have marginalized groups that do not reflect the gender, race, or ethnicity conventionally associated with
This article reflects the results of the project “Open Access Statistics”, which was designed to collect standardized usage figures for scientific documents. The data gathered were primarily intended to provide impact values based on document usage for Open Access documents as these were excluded from databases used to provide citation based impact scores. The project also planned the implementation of more sophisticated procedures such as network analyses, but was confronted with complex legal requirements.
This commentary introduces a preliminary conceptual framework for approaching putative effects of scholarly online systems on collaboration inside and outside of academia. The first part outlines a typology of scholarly online systems (SOS), i.e., the triad of specialised portals, specialised information services and scholarly online networks which is developed on the basis of nine German examples. In its second part, the commentary argues that we know little about collaborative scholarly community building by means of SOS. The commentary closes with some remarks on further research questions
In partnership with the Digital NEST, students engage in near to peer learning with a technical tool for the benefit of a nonprofit that tackles issues the youth are passionate about. Youth build first from an 'internal’ Impactathon, to planning and developing an additional Impactathon for a local partner and then traveling to another partner elsewhere in the state. Participants range from 14 to 24 from UC Santa Cruz students to middle schoolers from Watsonville and Salinas.
This poster was presented at the 2019 AISL Principal Investigators Meeting.
The cyberlearning community in the United States brings computer scientists and learning scientists together to design and study innovative learning technologies. The Cyberlearning Community Report: The State of Cyberlearning and the Future of Learning With Technology highlights examples of the exciting work our community is engaged in as we integrate the latest innovations in learning science and computer science into new research designs and methods. This work is also driving the need for new learning sciences in areas such as embodied cognition, identity, and affect, and requires advances
This poster was presented at the 2010 Association of Science-Technology Centers Annual Conference. The Saint Louis Science Center is a partner in Washington University's Cognitive, Computational, and Systems Neuroscience interdisciplinary graduate program funded by the NSF-IGERT (Integrative Graduate Education and Research Traineeship) flagship training program for PhD scientists and engineers.
The Science Museum of Minnesota (SMM) leverages a professional educator team (“instructors”) comprised of about two dozen individuals who facilitate both formal and informal educational programming in the museum, in K–12 classrooms, and at community-based sites. The experienced instructors of SMM’s Lifelong Learning Group bring innovative programs to both students and their teachers. Recognizing that long-term experiences can have a profound impact on students and teachers, SMM works to develop multiyear relationships based on collaboration. This article focuses primarily on SMM’s well
The “Fourth Industrial Revolution” is transforming the world of work. Just as it happened with the technologies of the steam, electricity and computer revolutions, digital technologies are now becoming pervasive and reshaping all parts of the global economy. The computing industry’s rate of job creation in the U.S. is now three times the U.S. national average. This rapid expansion of the computing workforce means that computing skills – with coding at the core – are the most sought-after skills in the American job market.
Yet amid this boom, research by Accenture and Girls Who Code shows
For decades, particle physicists have been using open access archives of preprints, i.e. research papers shared before the submission to peer reviewed journals. With the shift to digital archives, this model has proved to be attractive to other disciplines: but can it be exported? In particle physics, archives do not only represent the medium of choice for the circulation of scientific knowledge, but they are central places to build a sense of belonging and to define one's role within the community.
The problem of accessing data is as old as science itself. Complete popularisation of scientific data (of a theoretical model), and even more so of the methods and materials used during an experimental process and of the empirical data amassed, has always been considered an essential part of the process of authentication, duplication and filing of scientific knowledge. It is also true, however, that this theory has always been a complex riddle with no simple solution. Strangely enough, in today's era of instant communication, the challenge of information access seems to be facing new, daunting