"Which conference or journal is the right venue for my AI+education paper? How do I get CS folks to care about my education-focused work? How do I explain AI methods to a non-technical audience in education?" These are a few of the most common questions we hear from students seeking to navigate the emergent field at the intersection of AI and education. This seminar provides an interdisciplinary forum for PhD students and advanced masters students from education, computer science, and related fields to support them with the complexities of conducting and disseminating research across disciplinary boundaries. Through collaborative discussions, presentations, and peer feedback, students will gain insights into effectively navigating and bridging technical and educational communities' research and publication norms.
2-4 units · Letter or Credit/No Credit
"Which conference or journal is the right venue for my AI+education paper? How do I get CS folks to care about my education-focused work? How do I explain AI methods to a non-technical audience in education?" These are a few of the most common questions we hear from students seeking to navigate the emergent field at the intersection of AI and education. This seminar provides an interdisciplinary forum for PhD students and advanced masters students from education, computer science, and related fields to support them with the complexities of conducting and disseminating research across disciplinary boundaries. Through collaborative discussions, presentations, and peer feedback, students will gain insights into effectively navigating and bridging technical and educational communities' research and publication norms.
Offered in Spring 2026 at Stanford University.