T.E.A.C.H‪.‬ T.E.A.C.H.

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In this thought-provoking episode, we sit down with Dr. Sanmay Das, a leading expert in AI, machine learning, and computational social science, to explore the transformative potential and ethical implications of Large Language Models (LLMs) in education.
Dr. Das shares his insights on how LLMs, a type of artificial intelligence algorithm that uses deep learning techniques and massive datasets to understand, summarize, generate, and predict content, are revolutionizing various aspects of education, from curriculum design and assessment building to predictive analytics and personalized learning.
We delve into the ways in which LLMs can help educators create dynamic, data-driven curricula that adapt to individual student needs, as well as the potential for these models to transform educational assessment practices and provide valuable predictive insights to support student success and retention.
However, we also tackle the critical ethical considerations surrounding the use of LLMs in education, including concerns around student data privacy, bias, and the importance of maintaining human oversight and judgment in educational decision-making.
Throughout the episode, Dr. Das emphasizes the need for responsible development and deployment of these powerful AI tools, and highlights the ongoing importance of collaboration between researchers, educators, policymakers, and the public to ensure that LLMs are used in a way that maximizes their benefits while mitigating potential risks.
Whether you're an educator, administrator, policymaker, or simply someone interested in the future of education and AI, this episode offers a fascinating and nuanced exploration of the opportunities and challenges presented by Large Language Models in the educational landscape.
Tune in to learn more about how these cutting-edge AI tools are shaping the future of learning, and what steps we can take to ensure their ethical and effective implementation in our schools and classrooms.

https://linktr.ee/T.E.A.C.Hwww.teachaiedu.com Implementing new technology can foster understandable concerns among passionate educators. While AI promises more personalized learning and time savings, many dedicated educators have reasonable worries about impacts. In this episode, we lovingly discuss strategies for overcoming reluctance and nurturing teacher support for AI. We focus on gently demonstrating AI's benefits instead of simply stating claims. Join hosts Cary and Tyler as they share district examples of using AI to design curriculum and thoughtfully analyze data to inform teaching. Listen as they discuss missteps, lessons learned, and how hands-on use of AI capabilities helped convert even the most unsure on their team through modeling, patience and understanding. If getting stakeholder support is delaying AI exploration, this offers kind ideas for progressively addressing worries while moving forward. Our goal is to reassure through compassion.

www.teachaiedu.com How should schools prepare for artificial intelligence's arrival? In this episode, we discuss embracing AI's possibilities in education with Dr. Sharon Shewbridge, Director of Instructional Technology for Virginia Beach City Public Schools. Sharon shares how her district is taking a thoughtful, teacher-focused approach to adopting AI. Rather than banning AI outright, they are developing guidelines and guardrails to allow teachers to first explore AI tools. The goal is for teachers to become comfortable with AI so they can use it as a time-saving "thought partner" for planning differentiated lessons aligned to standards. We also discuss the coming pedagogical shifts in assessments and assignments. Students may also interact with AIs in the future that are designed not to give answers but to prompt critical thinking. For district leaders and teachers navigating the AI landscape, this episode offers practical guidance on embracing AI's possibilities while prioritizing teacher readiness and student safety. Tune in to hear insights from the frontlines of AI adoption!

www.teachaiedu.comhttps://linktr.ee/T.E.A.C.H As artificial intelligence progresses, creative applications of this powerful technology are revolutionizing fields from medicine and transportation to education. With machine learning and generative models now capable of generating customized images, text, code, and more, could AI play a role in providing personalized lessons for gifted K-12 students, as well as any other student? In this episode, Dr. Jennifer Snyder joins T.E.A.C.H. to discuss harnessing generative AI to create differentiated instructional plans tailored to advanced young learners’ needs. We’ll explore generative AI techniques that allow AI systems to analyze curriculum standards and student achievement data to produce tailored activities and teaching materials for the gifted classroom. Dr. Snyder will share insights from her topics she learned from us at one of our conferences we spoke at on generative AI and how she is using generative models. We’ll learn about promising experiments while addressing ethical questions around safely integrating generative AI in education. What are best practices for oversight? How can we maximize benefits while minimizing harm? If you want to hear about the cutting edge of using AI’s creative capacity to provide ability-appropriate education for promising minds, this episode delivers a thoughtful analysis of possibilities and focuses on effective and responsible innovations. Join us in exploring whether generative AI could help make one-size-fits-all schooling a thing of the past!

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The future is here! Tyler and Cary explore leveraging generative AI for predictive analytics on the latest T.E.A.C.H podcast episode.
Discover how AI systems can analyze assessment data to forecast individual student and whole class outcomes. This futuristic technology enables personalized interventions based on each learner's needs.
Hear how they are using AI predictions to identify at-risk students, adjust instruction, measure teaching impact, and provide targeted support. Tyler and Cary share real-world strategies to implement this innovative solution in your classroom.
You'll learn the immense benefits of AI-driven teaching, from closing achievement gaps to improving test scores. Plus, tips to ethically and effectively integrate generative AI analytics.
Whether you're a tech-savvy teacher or new to ed-tech, this insight-packed episode will open your eyes to AI's potential for data-driven instruction. The future of education is here – listen now to start unleashing the power of AI!
The T.E.A.C.H. podcast explores cutting-edge ed-tech strategies. Join Tyler and Cary each week as they demo solutions that help teachers and students thrive. It's time to teach smarter – subscribe today!

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Learn how two innovative educators are transforming assessment design through a data-driven, personalized approach. In this episode, T.E.A.C.H podcast hosts Tyler and Cary share best practices for spiral back lesson design and creating meaningful assessments tailored to each student's needs.
Hear how Tyler uses spiral back curriculum design to reinforce concepts across assessments. Discover how Cary advocates for rigorous, real-world assessment scenarios that develop higher-order thinking. Learn how lunch numbers and student surveys help inform differentiated assessments for gifted students.
Tyler explains the power of tagging standards to each question to enable targeted analysis of student mastery. A teacher weighs in requesting differentiated assessment items based on depth of knowledge. Cary demonstrates how they leverage AI-powered tools to ingest standards, lessons, and student data to generate personalized assessment ideas for each learner.
Tune in to gather key takeaways on moving beyond standardized tests toward assessments that provide actionable insights into student growth and mastery. Discover innovations in assessment design that illuminate the unique potential within every student.