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• by Kavita Mittapalli, Ph.D.

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When: March 10, 2026, 1pm-2pm ET.

Artificial intelligence (AI) has great potential to transform how students learn STEM subjects and how we prepare the future workforce, but too often research innovations never make it into real classrooms. Dr. Min Sun’s work bridges this gap by connecting four essential elements: conducting foundational research, developing specialized AI technologies, training educators to use them effectively and engaging the public in appropriately understanding AI's role in education. This presentation will demonstrate specific examples of NSF-funded innovations that are serving learners nationwide and internationally. Dr. Sun will examine current trends in educational AI, while identifying where the field still needs to grow. Essentially, this talk highlights how integrated research and technology development can advance NSF's mission to develop a globally competitive STEM workforce.

When: March 18, 2026, 1pm-2pm ET.

Artificial intelligence is rapidly reshaping how student learning can be measured—moving beyond traditional tests toward richer, more dynamic forms of assessment. From students “conversing” with virtual characters to demonstrate problem-solving and reasoning, to AI tools that analyze collaboration and learning processes in real time, these approaches promise insight into what students know and can do. At the same time, these innovations raise critical questions for educators, researchers, and policymakers. Can AI-powered assessments adapt to individual learners in ways that are both valid and fair? Will they help close opportunity gaps or risk reinforcing existing inequities through bias, access barriers, or opaque algorithms? And as AI systems grow more sophisticated, what guardrails are needed to ensure transparency, trust, and responsible use?

In this one-hour webinar, hosted by the American Educational Research Association and The 74, leading education researchers will explore how AI is being used in assessment today, what evidence we have about its effectiveness, and what risks demand careful attention. The conversation will balance promise with caution, highlighting both cutting-edge research and the policy and ethical considerations shaping the future of student assessment.

When: March 24, 2026, 2pm-3pm ET.

As scientific challenges grow more interconnected, interdisciplinary research is rapidly expanding. This growing emphasis on cross-disciplinary research requires scientists to navigate differing methodologies, communication styles, and organizational structures.  Join us for a panel discussion with experts from diverse fields to explore how researchers can strengthen team based work and build productive and resilient scientific teams. 

When: March 30, 2026, 9am-5pm ET.

Convened by the National Academies’ Action Collaborative on Education and Workforce Trajectories in Tech, The Impact of Artificial Intelligence on Education and Workforce Trajectories in Tech is a one-day exploratory workshop examining how AI is altering the value of human expertise, organizational workforce structures, and career pathways in the tech sector. Bringing together leaders from higher education, industry, and research institutions, discussions will consider how education and workforce systems can prepare individuals with the ethical, technical, and analytical capabilities needed to adapt and thrive in an AI-impacted landscape.