Artificial Intelligence and Learning: NSF ITEST Projects At-A-Glance

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Artificial Intelligence

Artificial intelligence (AI) is permeating the world around us, changing the ways we live, work, and learn. The National Science Foundation (NSF) lists AI as one of its organization-wide priorities, and is encouraging programs like ITEST to pursue what it means to prepare youth for careers in AI. In response to this, the STELAR convened an AI working group comprised of more than 20 projects funded through a variety of NSF programs. This paper is designed to highlight the areas being explored by these projects, to provide an overview of what has been funded within the ITEST portfolio to date

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ITEST Data Brief: Research Methods in ITEST

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Image of ITEST Data Brief: Research Methods in ITEST

ITEST Data Brief Volume 3, Issue 3, September 2016The ITEST program requires that all proposals include a research component. This data brief examines the 63 projects that described their research between September 1, 2014 and August 31, 2015 as reported in the 2015 Management Information System (MIS) survey. Questions addressed include: - What kinds of study designs do projects use?- Which tools do projects use to measure outcomes?- What kinds of instruments do projects use to measure outcomes?- What data do projects intend to collect from participants after funding is over?- How do ITEST

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Promising Approaches to Broadening Youth Participation in STEM

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This paper, based on a review of over 200 publications related to approximately 110 ITEST projects, seeks to respond to the broadening participation question in the ITEST solicitation. While all ITEST projects include “broadening participation” as a central goal, we found that publications relating to 43 projects contained specific information on broadening participation. Of those, publications relating to 25 projects had “broadening participation” as the primary focus. Here, we present the range of strategies that project teams employed by highlighting some of those 25 projects.

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Engaging Teachers in Supporting Next Generation STEM Learning

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This synthesis paper highlights projects funded by the National Science Foundation’s Innovating Technology Experiences for Students and Teachers (ITEST) grant program that are either primarily designed to support teacher learning or that incorporate teacher learning in a significant way.

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ITEST Data Brief: ITEST Projects Funded in 2015

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ITEST Data Brief Volume 3, Issue 2, July 2016In 2015, 30 ITEST projects were awarded funding. STELAR surveyed these projects as part of the the Fall 2015 Management Information System (MIS) Survey and received a 97% completion rate. This data brief presents information from the 29 responding projects around the following questions: Which of the 7 ITEST Guiding Questions do projects choose to address?In what settings projects plan to conduct their work?What grade levels do projects serve?Who are included as project participants?In what locales do projects coduct their work? In what states are

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ITEST Data Brief: ITEST in Action

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Image of the ITEST in Action Data Brief

ITEST Data Brief Volume 3, Issue 1, March 2016 This data brief provides information on the composition of ITEST project participants, what activities they engage in, in what settings, and what projects feel contributes to their project's success based on projects submissions to the 2014-2015 ITEST Management Information System (MIS) Annual Survey.

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ITEST Data Brief: Project Strategies to Engage Underrepresented Populations

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ITEST Data Brief Volume 2, Issue 1, January 2015The ITEST program specifically targets its work toward engaging the participation of youth who have been traditionally underrepresented in post-secondary STEM education and the STEM workforce, including, but not limited to, “… women, underrepresented minorities (African Americans, Hispanics, Native Americans, Alaska Natives, Native Hawaiian and other Pacific Islanders) and persons with disabilities” (2014 NSF ITEST solicitation). How do projects do this?A 2012 DataBrief describing the work of ITEST projects found that many ITEST projects do

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