¿Es la IA la respuesta para mejorar la retroalimentación a los profesores?
PODCAST INVITADO: Ed-Technical Temporada 1 Episodio 2
Escritores
Únase a dos exmaestras: Libby Hills de la Jacobs Foundation y el investigador de IA Owen Henkel – para el Serie de podcasts Ed-Technical sobre la IA en la educación.
Cada episodio, presentado por un invitado en BOLDLibby y Owen pedirán a expertos que ayuden a los educadores a discernir la información útil entre la exageración en torno a la IA. Les harán preguntas como: "¿Cómo ayuda realmente la IA a estudiantes y profesores?", "¿Qué sabemos realmente sobre esta tecnología y qué es solo especulación?" y "¿Cuando decimos 'IA', a qué nos referimos exactamente?".
In this episode, Libby and Owen talk to Dora Demszky, Assistant Professor in Education Data Science at Stanford University. Dora’s background is in linguistics and natural language processing. Her work focuses on using natural language processing tools to support educators.
Dora has been working with large language models for a while, before the recent explosion of interest. So she shares what it’s been like to move from having to explain what a large language model is, to having the world obsess about them! She also talks about the potential and limitations of using large language models to support educators with activities like teacher coaching and writing feedback to students.
Next episode Libby and Owen speak to Paul Atherton, founder of Fab Inc and Fab Data. Like Dora, Paul is also interested in building AI driven tools for teachers, but he focuses on doing so for teachers in highly resource constrained places like Sierra Leone.
Invitados y recursos
- Dora Demszky
- Dora’s paper on using chatGPT for teacher coaching
- Global of Dora’s research showing positive benefits of providing automated feedback to instructors
Escritores