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	<title>The Concord Consortium Blog on STEM Learning and EdTech &#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>Expanding access to data exploration with AI</title>
		<link>https://concord.org/blog/expanding-access-to-data-exploration-with-ai/</link>
					<comments>https://concord.org/blog/expanding-access-to-data-exploration-with-ai/#respond</comments>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Wed, 19 Aug 2026 17:16:24 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Artificial Intelligence]]></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=47145</guid>

					<description><![CDATA[With DAVAI, our AI-supported plugin for CODAP, learners who are blind or have low vision can engage in independent data inquiry. Based on a user’s typed or spoken query, DAVAI can make a graph within CODAP’s data exploration environment, describe it, and generate a sonic representation so users can “hear” the graph. But what if [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Under the hood of the new and improved CODAP</title>
		<link>https://concord.org/blog/under-the-hood-of-the-new-and-improved-codap/</link>
					<comments>https://concord.org/blog/under-the-hood-of-the-new-and-improved-codap/#respond</comments>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Thu, 06 Aug 2026 17:20:08 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[Claude]]></category>
		<category><![CDATA[CODAP]]></category>
		<category><![CDATA[data-analysis]]></category>
		<category><![CDATA[data-visualization]]></category>
		<guid isPermaLink="false">https://concord.org/?p=47126</guid>

					<description><![CDATA[More than 3.5 million people have used CODAP to explore and analyze data. But behind every graph, table, and data visualization lies a story three decades in the making. If you want to know the story of the new and improved CODAP and how it came to be one of the most widely used educational [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/under-the-hood-of-the-new-and-improved-codap/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>STEM inquiry AI at the STEPs hackathon</title>
		<link>https://concord.org/blog/stem-inquiry-ai-at-the-steps-hackathon/</link>
					<comments>https://concord.org/blog/stem-inquiry-ai-at-the-steps-hackathon/#respond</comments>
		
		<dc:creator><![CDATA[Leslie Bondaryk]]></dc:creator>
		<pubDate>Wed, 29 Jul 2026 15:03:42 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Main Blog]]></category>
		<category><![CDATA[Hackathon]]></category>
		<category><![CDATA[Wildfire Explorer]]></category>
		<guid isPermaLink="false">https://concord.org/?p=47105</guid>

					<description><![CDATA[Can an AI tutor respond appropriately to student actions in an interactive science simulation—not just what they type? That was the challenge Concord Consortium’s software engineers tackled in the STEPs Problem-Solving Hackathon hosted by dev/color. Participants in this year’s event were tasked with experimenting with an AI-enabled problem-solving platform developed by Shima Salehi, Research Assistant Professor [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/stem-inquiry-ai-at-the-steps-hackathon/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Meet our Director of Product Strategy, Kiley Brown</title>
		<link>https://concord.org/blog/meet-our-director-of-product-strategy-kiley-brown/</link>
					<comments>https://concord.org/blog/meet-our-director-of-product-strategy-kiley-brown/#respond</comments>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Thu, 23 Jul 2026 18:01:47 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Blog]]></category>
		<category><![CDATA[FOSS]]></category>
		<category><![CDATA[Geniventure]]></category>
		<category><![CDATA[MADESE]]></category>
		<category><![CDATA[Products and Services]]></category>
		<guid isPermaLink="false">https://concord.org/?p=47083</guid>

					<description><![CDATA[If you are one of the many teachers, researchers, curriculum developers, project managers, or other partners who have collaborated with us, you may already know our Scrum Master, Kiley Brown. An exceptional liaison between our collaborators, curriculum experts, and software development team, Kiley has helped guide the creation of custom educational technology solutions for both [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/meet-our-director-of-product-strategy-kiley-brown/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Giving algebra students the tools to become AI model builders</title>
		<link>https://concord.org/blog/giving-algebra-students-the-tools-to-become-ai-model-builders/</link>
					<comments>https://concord.org/blog/giving-algebra-students-the-tools-to-become-ai-model-builders/#comments</comments>
		
		<dc:creator><![CDATA[Trudi Lord]]></dc:creator>
		<pubDate>Thu, 11 Jun 2026 19:13:42 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[AI in Math]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[CODAP]]></category>
		<category><![CDATA[StoryQ app]]></category>
		<guid isPermaLink="false">https://concord.org/?p=47014</guid>

					<description><![CDATA[Artificial intelligence (AI) seems to have entered every app we use, from Internet search results to chatbots responding to customer feedback. The “intelligence” powering many of these AI tools is based on text prediction—and the text prediction models are based on math. With Concord Consortium&#8217;s AI4VS in Math online program, Florida Virtual School students had [&#8230;]]]></description>
		
					<wfw:commentRss>https://concord.org/blog/giving-algebra-students-the-tools-to-become-ai-model-builders/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>Pele’s Playground: Combining block programming and volcanology</title>
		<link>https://concord.org/blog/peles-playground-combining-block-programming-and-volcanology/</link>
		
		<dc:creator><![CDATA[Amy Pallant]]></dc:creator>
		<pubDate>Thu, 14 May 2026 16:04:02 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Earth Science Education]]></category>
		<category><![CDATA[LavaCoder]]></category>
		<category><![CDATA[Pele Project]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46973</guid>

					<description><![CDATA[At the end of January I had the opportunity to visit the Big Island of Hawaiʻi to observe the implementation of a middle school Earth science curriculum module called “Pele’s Playground.” The module focuses on using block-based programming of a computer simulation to learn about factors affecting where lava flows and volcanic smog, or “vog,” [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Pumpkins, projectiles, and data: Explore PhET sims in CODAP</title>
		<link>https://concord.org/blog/pumpkins-projectiles-and-data-explore-phet-sims-in-codap/</link>
		
		<dc:creator><![CDATA[Cynthia McIntyre]]></dc:creator>
		<pubDate>Tue, 05 May 2026 14:23:36 +0000</pubDate>
				<category><![CDATA[About Us]]></category>
		<category><![CDATA[Data Science Education]]></category>
		<category><![CDATA[CODAP]]></category>
		<category><![CDATA[data-science]]></category>
		<category><![CDATA[PhET]]></category>
		<guid isPermaLink="false">https://concord.org/?p=46965</guid>

					<description><![CDATA[The Concord Consortium is thrilled to partner with PhET in their new data fluency initiative. PhET’s free research-based simulations engage students in a game-like environment—and importantly, the sims generate data. While most of PhET’s traditional physics simulations are idealized models without noise or measurement error, new sims include real-world variability. This means the data they [&#8230;]]]></description>
		
		
		
			</item>
		<item>
		<title>Usability studies on DAVAI: Making data inquiry accessible</title>
		<link>https://concord.org/blog/usability-studies-on-davai-making-data-inquiry-accessible/</link>
		
		<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>
		
		
		<enclosure url="https://concord.org/wp-content/uploads/2026/04/DAVAI-blog-post-recording.mp4" length="3976971" type="video/mp4" />

			</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>
		
		<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>
		
		
		
			</item>
		<item>
		<title>Inclusive inquiry: Simulation accessibility and VPATs</title>
		<link>https://concord.org/blog/inclusive-inquiry-simulation-accessibility-and-vpats/</link>
		
		<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>
		
		
		
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