<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>student help-seeking on CS-Ed Podcast Home Page</title><link>https://csedpodcast.org/tags/student-help-seeking/</link><description>Recent content in student help-seeking on CS-Ed Podcast Home Page</description><generator>Hugo -- gohugo.io</generator><language>en-US</language><lastBuildDate>Mon, 05 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://csedpodcast.org/tags/student-help-seeking/index.xml" rel="self" type="application/rss+xml"/><item><title>S4xE14: GenAI's Impact on Student Help Seeking and More</title><link>https://csedpodcast.org/blog/s4e14_genai_student_impacts/</link><pubDate>Mon, 05 Jan 2026 00:00:00 +0000</pubDate><guid>https://csedpodcast.org/blog/s4e14_genai_student_impacts/</guid><description>Episode Summary Students are increasingly using generative artificial intelligence (GenAI) in their learning. But what are the implications of this? In this episode, we are joined by Irene Hou, PhD student at UC San Diego in the Design lab, to talk about her recent research, which draws on interviews with students across multiple universities. We discuss GenAI&amp;rsquo;s impact on how students seek help and how it affects students’ social ties, sense of belonging, and views of peers.</description></item><item><title>S4xE13: Help-Seeking</title><link>https://csedpodcast.org/blog/s4e13_help_seeking/</link><pubDate>Mon, 03 Nov 2025 00:00:00 +0000</pubDate><guid>https://csedpodcast.org/blog/s4e13_help_seeking/</guid><description>Episode Summary All students seek help, but what is academic help-seeking actually? In this episode, we are joined by Shao-Heng Ko, Ph.D. candidate at Duke University and our host&amp;rsquo;s advisee, to talk about all things student help-seeking. Shao-Heng explains help-seeking as a metacognitive process and introduces a framework for understanding the many ways students look for help—from classmates and discussion forums to office hours and generative AI. We discuss what students value most (spoiler: timeliness), how instructors can audit their own help ecosystems, and how different student groups navigate these resources.</description></item></channel></rss>