StoryCoder

Teaching young children computational concepts through engaging, story-driven voice interfaces.

Description

This research develops educational voice-based interfaces that teach fundamental computational concepts (e.g., sequential logic, conditionals, loops, modularization) to young children (K-2) by guiding them through familiar and fun storytelling activities. Our story-centered approach aims to be highly approachable, engaging, and accessible. Full project details are available here: https://hci.stanford.edu/research/storycoder

Publications

StoryCoder: Teaching Computational Thinking Concepts Through Storytelling in a Voice-Guided App for Children

Griffin Dietz, Jimmy Le, Nadin Tamer, Jenny Han, Hyowon Gweon, Elizabeth L. Murnane, James A. Landay

Proceedings of the 39th Annual ACM Conference on Human Factors in Computing Systems (CHI) · (To appear) · ACM · 2021

DOI

Collaborators

Core external collaborators: Griffin Dietz (Apple), James Landay (Stanford)

Full team is available at https://hci.stanford.edu/research/storycoder

Date

2019 - 2021

Keywords

education

computational thinking

children (K-2)

voice interfaces

narrative

user study

Team Members

Liz Murnane

Liz Murnane