Assessments are critical in education, but creating them can be difficult. To address this challenge in a grounded way, we partnered with 13 teachers in a seven-month codesign process. We developed a conceptual model that characterizes the iterative dual process where teachers develop assessments while simultaneously refining requirements. To enact this model in practice, we built Ripplet, a web-based tool with multilevel reusable interactions to support assessment authoring. The extended codesign revealed that Ripplet enabled teachers to create formative assessments they would not have otherwise made, shifted their practices from generation to curation, and helped them reflect more on assessment quality. In a user study with 15 additional teachers, compared to their current practices, teachers felt the results were more worth their effort and that assessment quality improved.
@article{arxiv.2602.22186,
title = {Codesigning Ripplet: an LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers' Workflows},
author = {Yuan Cui and Annabel Goldman and Jovy Zhou and Xiaolin Liu and Clarissa Shieh and Joshua Yao and Mia Cheng and Matthew Kay and Fumeng Yang},
journal= {arXiv preprint arXiv:2602.22186},
year = {2026}
}
Comments
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems