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	<title>Blog &#8211; Concord Consortium</title>
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	<link>https://concord.org</link>
	<description>Revolutionary digital learning for science, math, and engineering</description>
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		<title>Usability studies on DAVAI: Making data inquiry accessible</title>
		<link>https://concord.org/blog/usability-studies-on-davai-making-data-inquiry-accessible/</link>
					<comments>https://concord.org/blog/usability-studies-on-davai-making-data-inquiry-accessible/#respond</comments>
		
		<dc:creator><![CDATA[Dan Damelin]]></dc:creator>
		<pubDate>Thu, 09 Apr 2026 14:30:27 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Data By Voice]]></category>
		<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[CODAP]]></category>
		<category><![CDATA[CODAP plugins]]></category>
		<category><![CDATA[DAVAI]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46929</guid>

					<description><![CDATA[To ensure that blind and low-vision (BLV) learners can engage meaningfully in data science education, we’re designing an AI-supported natural language plugin for CODAP called DAVAI (Data Analysis through Voice and Artificial Intelligence). Students use voice or typed input to ask questions about datasets in CODAP, then get dynamically generated descriptions and optional sonification—hearing the [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Shared representations for accessible and AI-supported inquiry</title>
		<link>https://concord.org/blog/shared-representations-for-accessible-and-ai-supported-inquiry/</link>
					<comments>https://concord.org/blog/shared-representations-for-accessible-and-ai-supported-inquiry/#respond</comments>
		
		<dc:creator><![CDATA[Leslie Bondaryk]]></dc:creator>
		<pubDate>Mon, 23 Mar 2026 18:10:05 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46920</guid>

					<description><![CDATA[As we enhance the accessibility of our inquiry-based STEM simulations and integrate generative AI into our learning platforms, we’re constantly evaluating and leveraging emerging technologies to improve teaching and learning. Recent work has led to an exciting convergence and potentially transformative insight surrounding these two goals. The representations needed for a large language model (LLM) [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Inclusive inquiry: Simulation accessibility and VPATs</title>
		<link>https://concord.org/blog/inclusive-inquiry-simulation-accessibility-and-vpats/</link>
					<comments>https://concord.org/blog/inclusive-inquiry-simulation-accessibility-and-vpats/#comments</comments>
		
		<dc:creator><![CDATA[Leslie Bondaryk]]></dc:creator>
		<pubDate>Tue, 17 Mar 2026 17:30:56 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[accessibility]]></category>
		<category><![CDATA[VPAT]]></category>
		<category><![CDATA[WCAG]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46891</guid>

					<description><![CDATA[The Concord Consortium has developed hundreds of STEM simulations to engage students in the NGSS science and engineering practices—from asking questions and defining problems to developing and using models, planning and carrying out investigations, and analyzing and interpreting data. These simulations—covering everything from genetics to plate tectonics, diffusion, protein folding, the underpinnings of AI, and [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/inclusive-inquiry-simulation-accessibility-and-vpats/feed/</wfw:commentRss>
			<slash:comments>2</slash:comments>
		
		
			</item>
		<item>
		<title>Giants in the classroom: Developing students’ STEM identities</title>
		<link>https://concord.org/blog/giants-in-the-classroom-developing-students-stem-identities/</link>
					<comments>https://concord.org/blog/giants-in-the-classroom-developing-students-stem-identities/#respond</comments>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Tue, 10 Mar 2026 19:49:24 +0000</pubDate>
				<category><![CDATA[YouthQuake]]></category>
		<category><![CDATA[Online Learning]]></category>
		<category><![CDATA[professional development]]></category>
		<category><![CDATA[STEM identity]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46898</guid>

					<description><![CDATA[As part of our YouthQuake project, funded by the National Science Foundation, we developed a five-activity online module that guides students through a series of investigations of earthquake risks and hazards. In addition to investigating the science of earthquakes and how to develop block coding to model land movement, students learn about related careers as [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/giants-in-the-classroom-developing-students-stem-identities/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Two Tinker Fellows will develop innovations in AI</title>
		<link>https://concord.org/blog/two-tinker-fellows-will-develop-innovations-in-ai/</link>
					<comments>https://concord.org/blog/two-tinker-fellows-will-develop-innovations-in-ai/#respond</comments>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Tue, 10 Feb 2026 19:17:56 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[CODAP]]></category>
		<category><![CDATA[Data By Voice]]></category>
		<category><![CDATA[data-science-education]]></category>
		<category><![CDATA[ISLAND]]></category>
		<category><![CDATA[LEADS]]></category>
		<category><![CDATA[Tinker Fellows]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46875</guid>

					<description><![CDATA[The Robert F. Tinker Fellows Program aims to promote innovation, creativity, and cross-disciplinary conversations. We’re thrilled to announce that two 2026 Tinker Fellows will focus on innovations in artificial intelligence (AI) to help transform teaching and learning. Amelia McNamara will explore how custom AI models can support teachers’ and students’ critical thinking and data science [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/two-tinker-fellows-will-develop-innovations-in-ai/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Bootstrap’s free data science course using CODAP</title>
		<link>https://concord.org/blog/bootstraps-free-data-science-course-using-codap/</link>
					<comments>https://concord.org/blog/bootstraps-free-data-science-course-using-codap/#comments</comments>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Mon, 02 Feb 2026 12:30:00 +0000</pubDate>
				<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[Bootstrap]]></category>
		<category><![CDATA[CODAP]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46858</guid>

					<description><![CDATA[Want to introduce data science with CODAP to your middle and high school students? Through a partnership with Bootstrap, you can get started with a free web-based set of materials. Developed by the Bootstrap team, the Data Literacy curriculum is a comprehensive, flexible data literacy course designed for students in grades 7-9 that uses CODAP [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/bootstraps-free-data-science-course-using-codap/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>Shoveling snow and digging deeper into geospatial data</title>
		<link>https://concord.org/blog/shoveling-snow-and-digging-deeper-into-geospatial-data/</link>
		
		<dc:creator><![CDATA[Christopher Lore]]></dc:creator>
		<pubDate>Fri, 23 Jan 2026 17:43:53 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[Mapping Time]]></category>
		<category><![CDATA[CODAP]]></category>
		<category><![CDATA[Data in Space and Time]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46847</guid>

					<description><![CDATA[This week, a major snowstorm stretching from Texas to Maine is forecasted to affect millions of people. Many people throughout the U.S. now face the same questions. Do I have time to run to the store for more groceries before the heaviest snow is going to fall? Is school going to be delayed or canceled? [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Reflections on my high school math teacher on Giving Tuesday</title>
		<link>https://concord.org/blog/reflections-on-my-high-school-math-teacher-on-giving-tuesday/</link>
		
		<dc:creator><![CDATA[Danielle Kehoe]]></dc:creator>
		<pubDate>Wed, 26 Nov 2025 13:53:42 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Future of Learning Fund]]></category>
		<category><![CDATA[Giving Tuesday]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46809</guid>

					<description><![CDATA[Do you have a teacher you are thankful for? I know I do. The one who comes to mind today is my 10th grade math teacher, Mr. Scheib. I had always enjoyed math and done well in it—until the third quarter of sophomore year. My mother took a second shift to help make ends meet. [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Discover the future of data exploration with CODAP V3 Beta</title>
		<link>https://concord.org/blog/discover-the-future-of-data-exploration-with-codap-v3-beta/</link>
		
		<dc:creator><![CDATA[Concord Consortium]]></dc:creator>
		<pubDate>Thu, 20 Nov 2025 20:29:29 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[CODAP]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46803</guid>

					<description><![CDATA[Our Common Online Data Analysis Platform (CODAP)—used by over 3.5 million users worldwide—is one of the most popular tools for data exploration. And now it’s better than ever! The beta release of CODAP V3 is officially live and ready for you to try. At the Concord Consortium, we like to dream big. One of our [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Alaskan students use machine learning to investigate seismic activity</title>
		<link>https://concord.org/blog/alaskan-students-use-machine-learning-to-investigate-seismic-activity/</link>
		
		<dc:creator><![CDATA[Christopher Lore]]></dc:creator>
		<pubDate>Thu, 30 Oct 2025 13:34:05 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Research Projects]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Dataflow]]></category>
		<category><![CDATA[earthquakes]]></category>
		<category><![CDATA[SeismicML]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46777</guid>

					<description><![CDATA[The Concord Consortium is proud to announce a new grant from the National Science Foundation, titled Separating the Signal from the Noise (or SeismicML for short). This three-year project with Kent State University, the University of Washington, and the Anchorage School District will design, develop, and test computational tools that enable middle and high school [&#8230;]]]></description>
		
		
		
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