In this episode of EdTechnical, Libby and Owen speak with Candice Odgers, a psychologist and researcher studying how online experiences influence children's mental health. They revisit the debate around social media and teen wellbeing, questioning the claims that social media use has caused rising rates of depression and anxiety. Candice calls for a more careful reading of the evidence and cautions against rushing into restrictive policies that may have unintended consequences or divert attention from more effective interventions.

Candice also shares early findings from her recent research into AI in education. She finds surprisingly limited use of AI among young people, and mixed perceptions around what counts as cheating, which shapes how these tools are received. Notably, she found no clear socioeconomic divide in AI engagement, raising questions about how these tools might be designed to support more equitable learning. They discuss the challenge of designing rigorous studies in this space and the need for thoughtful, evidence-informed approaches to both social media and AI.

Links:

Adaptlab - Adaptation, Development and Positive Transitions Lab

NYT Article: Panicking About Your Kids’ Phones? New Research Says Don’t

Bio

Candice Odgers is the Associate Dean for Research and Faculty Development and Professor of Psychological Science at the University of California Irvine. She also co-directs the Child & Brain Development Program at the Canadian Institute for Advanced Research and the CERES Network funded by the Jacobs Foundation.

Her team has been capturing the daily lives and health of adolescents using mobile phones and sensors over the past decade. More recently, she has been working to leverage digital technologies to better support the needs of children and adolescents as they come of age in an increasingly unequal and digital world.

Join us on social media:

• BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
• Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical
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Credits: Sarah Myles for production support; Josie Hills for graphic design; Anabel Altenburg for content production.

In this episode of Ed-Technical, Libby and Owen explore why traditional AI detection tools are struggling in academic settings. As students adopt increasingly sophisticated methods to evade AI detection - like paraphrasing tools, hybrid writing, and sequential model use - detection accuracy drops and false positives rise. Libby and Owen look at the research showing why reliable detection with automated tools is so difficult, including why watermarking and statistical analysis often fail in real-world conditions.

The conversation shifts toward process-based and live assessments, such as keystroke tracking and oral exams, which offer more dependable ways to evaluate student work. They also discuss the institutional challenges that prevent widespread adoption of these methods, like resource constraints and student resistance. Ultimately, they ask how the conversation about detection could lead towards more meaningful assessment.

Join us on social media:

• BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
• Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical
• Subscribe to BOLD’s newsletter: https://bold.expert/newsletter
• Stay up to date with all the latest research on child development and learning: https://bold.expert

Credits: Sarah Myles for production support; Josie Hills for graphic design; Anabel Altenburg for content production.

In this first episode of EdTechnical Season 3, Libby and Owen speak with Dr. Jason Yeatman from Stanford University about how the brain learns to read, the power of better assessment, and a broader look at how AI is beginning to reshape our relationship with reading itself. They touch on the science behind reading as a learned skill, the surprising overlap between visual and auditory processing, and the challenges schools face in teaching it well. ROAR (Rapid Online Assessment of Reading), a free online reading assessment tool developed by Dr. Yeatman’s lab, comes up as a practical way schools are identifying literacy gaps and supporting students at scale across the US. They reflect on what reading looks like in an AI-driven world in which technology can surface information instantly, reflecting that literacy remains essential for engaging with complexity, understanding detail, and maintaining equal access to opportunity and participation in society.

Links

• ROAR (Rapid Online Reading Assessment) – Welcome to ROAR!
• Journal Article: The Virtuous Cycle between Education and Neuroscience, by Jason D. Yeatman and Maya Yablonski, published in Mind, Brain and Education (August 2025)

Bio

Dr. Jason Yeatman is an Associate Professor in the Graduate School of Education and Department of Psychology and the Division of Developmental and Behavioral Pediatrics at Stanford University. He earned his PhD in Psychology, focusing on the neurobiology of literacy and brain imaging methods to study learning and plasticity. As director of the Brain Development and Education Lab, his research aims to uncover how children learn to read, how this process differs in those with dyslexia, and how to design effective literacy interventions using structural and functional neuroimaging to explore how reading instruction shapes brain development.

Join us on social media:

• BOLD (@BOLD_insights), Libby Hills (@Libbylhhills) and Owen Henkel (@owen_henkel)
• Listen to all episodes of Ed-Technical here: https://bold.expert/ed-technical
• Subscribe to BOLD’s newsletter: https://bold.expert/newsletter
• Stay up to date with all the latest research on child development and learning: https://bold.expert

Credits: Sarah Myles for production support; Josie Hills for graphic design; Anabel Altenburg for content production.