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This Week with EdSurge
This Week with EdSurge
Author: EdSurge Podcast
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This Week with EdSurge is the essential weekly podcast that takes you past the headlines and deep into the fascinating, fast-evolving world of education. Hosted by Ira Apfel alongside our talented team of EdSurge contributors, each episode cuts through the hype to explore the human stories shaping our schools—from the rise of artificial intelligence in the classroom to student well-being, shifting policies, and the future of teaching. Whether you are a classroom educator, a district leader, an edtech innovator, or simply a curious mind, this show delivers the rigorous, empathetic, and trusted journalism you need to understand where education is headed.
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The lowest-performing middle school readers aren't just behind, they're falling further behind every year, even as reading scores recover elsewhere.On This Week with EdSurge, NWEA's Megan Kuhfeld shares new research that explains why the K-3 literacy laws that fixed early reading aren't reaching the middle school.Then Dacia Toll, who spent years running schools before co-founding the AI literacy platform Coursemojo, describes what she calls the comprehension wall, the point where a middle schooler can read every word on a page and still miss the meaning, and makes the case for AI tools built to ask questions instead of just answering them.WHAT YOU'LL LEARNMegan Kuhfeld's NWEA research shows the same decline at the 10th percentile of middle school reading scores across three separate assessments: NWEA's MAP Growth, i-Ready and NAEP, drawing on data from more than 20 million K-8 students.Dacia Toll's "background knowledge problem" means two students with identical reading skills can perform two full grade levels apart on the same text, depending on how much they already know about the topic.K-3 literacy laws mostly stop at third grade and many didn't take effect until 2022-2024, so they miss students who are already behind by the time they reach middle school.An individual struggling reader typically needs two to three years of above-average growth to catch up to grade level, and building a system that catches every student takes even longer.There's a meaningful difference between "indulgebots," AI tools that just answer a student's question, and purpose-built instructional AI that responds to a wrong answer by sending the student back to a specific sentence or paragraph to work it out themselves.STORIES MENTIONED IN THIS EPISODEReading Scores Continue to Drop for Many Middle Schoolers by David WeldonAI Can Help One of K-12's Biggest Challenges: Middle School Reading by Dacia TollSTAY CONNECTEDSubscribe to EdSurge newsletters at edsurge.com.Find the latest education news at edsurge.com/news.Follow EdSurge on LinkedIn, X, Facebook, TikTok, and Instagram.HOST AND CONTRIBUTORSHost: Ira ApfelFeaturing:Megan Kuhfeld, PhD, Director of Growth Modeling and Data Analytics, NWEADacia Toll, Co-Founder and Co-CEO, Coursemojo
Two Voices of Change Fellows had the same kind of moment this year, when a student comment that could have been brushed off as attitude turned out to be a warning sign. On This Week with EdSurge, Melinda Medina explains what happened when a student answered a literature question with "I use ChatGPT, how am I supposed to know that?" and what it revealed about students quietly outsourcing their own thinking. Then Beth Yirga describes the eighth grader who asked her, "If AI will do everything, then what's the point of learning?" and how that question sent her looking for answers outside of education entirely.WHAT YOU'LL LEARNMelinda Medina cites a Brown University economics class where students averaged nearly 96% on a take-home midterm, then under 49% once the professor switched to an in-person proctored exam, a trend she now sees echoed in her own classroom.When Melinda's 11th graders were asked how author Kate Chopin uses irony, one replied that she'd used ChatGPT instead of working through the text, a moment Melinda says worried her less as cheating and more as a sign students no longer wanted to engage with productive struggle.Beth Yirga's question came from an eighth grader during a planning meeting for a new career exploration program at Freire Charter School Wilmington, and it sent her to the Women Who Code Summit in New York, where she was the only K-12 educator in a room of more than 500 people.Beth is building an "identity year" for students, pairing AI literacy with outdoor hikes, a trip to the opera, and a visit to the state capitol, on the belief that students need to know who they are before they can direct any tool toward a future worth having.STORIES MENTIONED IN THIS EPISODEProtecting Student Cognition in the Age of AI by Melinda Medina The K-12 Silo Won't Survive AI, But Our Relationships Might by Beth YirgaSTAY CONNECTEDSubscribe to EdSurge newsletters at edsurge.com.Find the latest education news at edsurge.com/news.Follow EdSurge on LinkedIn, X, Facebook, TikTok, and Instagram.HOST AND CONTRIBUTORSHost: Ira ApfelFeaturing:Melinda Medina, English and Special Education Teacher, Brooklyn, NYBeth Yirga, Assistant Head of School, Freire Charter School Wilmington, DE
New guidance was supposed to help teachers make sense of screen time. New laws were supposed to keep phones out of the way. On This Week with EdSurge we look at what happens when teachers are left to make sense of rules that were never built with their classrooms in mind. Adam Stone talks with pre-K and kindergarten teachers about the guidance that excludes them, and civics teacher Dan Clark explains why he thinks Missouri got its phone ban wrong.WHAT YOU'LL LEARNThe American Academy of Pediatrics updated its screen time guidance for the first time in a decade, but the update is scoped around children and adolescents and offers little direction for pre-K classrooms.Pre-K and kindergarten teachers are relying on tactile, low-tech strategies, such as forming letters out of Play-Doh, to reinforce face-to-face interaction instead of defaulting to screens.Missouri's new law bans any portable communication device on a student's person from the first bell to the last, which cut off students working on a community advocacy project from the platform they knew best how to use.We explore if blanket phone bans skip the harder work of teaching digital citizenship, comparing the debate to longstanding arguments over whether schools should still teach cursive.STORIES MENTIONED IN THIS EPISODEEarly Childhood Education Teachers Grapple with Screen Time by Adam StoneThe Case Against the Classroom Cellphone Crackdown by Dan ClarkSTAY CONNECTEDSubscribe to EdSurge newsletters at edsurge.com.Find the latest education news at edsurge.com/news.Follow EdSurge on LinkedIn, X, Facebook, TikTok, and Instagram.HOST AND CONTRIBUTORSHost: Ira ApfelFeaturing:Adam Stone, Education and Technology JournalistDan Clark, Eighth Grade Civics Teacher, Missouri
The Department of Education just issued its first major classroom technology guidance in years, urging schools to judge tools by outcomes rather than screen time. Digital Promise president and CEO Jean-Claude Brizard and outcomes-based contracting expert Brittany Miller join This Week with EdSurge to break down what the new Dear Colleague Letter gets right, what it leaves out, and what happens now that Washington has handed implementation to the states. They agree the letter marks real progress, but they do not agree on how much it accomplishes.WHAT YOU'LL LEARNThe Dear Colleague Letter draws a clear line between recreational and instructional technology use, giving school leaders new language to push back against blanket bans, but it also leans on randomized controlled trials as a measure of evidence, a standard Brittany Miller says moves too slowly for how quickly edtech itself changes.Ten states already run statewide outcomes based contracting efforts, including a new Michigan law tying fifty million dollars in tutoring funding to results, which Miller points to as proof the model is working even without a federal mandate behind it.Jean-Claude Brizard argues schools should demand third party certification rather than commission their own research, compares scattered anti-technology sentiment to the anti-vaccine movement, and calls on school and district leaders to reclaim the public narrative around edtech.Both guests agree the guidance leaves out direct support for the teachers, principals, and superintendents actually implementing it, and both point to procurement, not classroom policy, as the real lever for turning the letter into practice.STORIES MENTIONED IN THIS EPISODEDepartment of Education Issues Long-Awaited Edtech Guidance for States and Districtsby EdSurge StaffSTAY CONNECTEDSubscribe to EdSurge newsletters at edsurge.com/newsletters.Find the latest education news at edsurge.com/news.Follow EdSurge on LinkedIn, X, Facebook, TikTok, and Instagram.HOST AND CONTRIBUTORSHost: Ira ApfelFeaturing:Jean-Claude Brizard, President and CEO, Digital PromiseBrittany Miller, Center for Outcomes-Based Contracting
This week, two guests trace the true cost of AI, one in the classroom and one behind the scenes. Michael Hernandez explains how he taught himself to code so he could build a free tool that flags weak assignments before students ever think about cheating. Mi Aniefuna follows the electricity powering that same technology, tracing the invoice that lands on a district's desk long after the contract is signed. Together, their stories ask what schools are really paying for when they bring AI into the building.WHAT YOU'LL LEARNMichael Hernandez used vibe coding, describing an idea in plain language and letting AI write the code, to build the Cheat Vulnerability Index, a free tool that scans an assignment and flags where it is exposed to cheating.Michael identifies three traits, originality, personal connection, and purpose, that he believes make an assignment resistant to cheating.Mi Aniefuna reports that United States data centers used about 176 terawatt hours of electricity in 2023, roughly 4.4% of the countrys total electricity consumption.Mi points to a Stanford review of more than 800 studies on AI in K-12 education, only 20 of which met the bar for rigorous, causal-impact research, even as adoption keeps outpacing the evidence.STORIES MENTIONED IN THIS EPISODEStory 1 I Used AI to Build AI-Resistant Assignments by Michael HernandezStory 2 Can Schools Afford an AI-First Future? by Mi AniefunaSTAY CONNECTEDSubscribe to EdSurge newsletters at www.edsurge.com/newsletters.Find the latest education news at edsurge.com/news.Follow EdSurge on LinkedIn, X, Facebook, TikTok, and Instagram.HOST AND CONTRIBUTORSHost: Ira ApfelFeaturing:Michael Hernandez, Educator and AuthorMi Aniefuna, Public Health and Behavioral Sciences Researcher, EdSurge




