Using ChatGPT to Deconstruct K-12 Student Learning Outcomes for Developing Assessments and Rubrics

Abstract

This chapter explores the utilization of ChatGPT, an artificial intelligence (AI) language model, in deconstructing K-12 content standards or Student Learning Outcomes (SLOs) to facilitate the development of assessments and rubrics following Rick Stiggins' deconstructing standards process. Sections of the chapter explore understanding ChatGPT and its educational applications, detailing Stiggins' deconstructing standards process and providing scenarios for deconstructing learning standards. Further, the chapter delineates the flexibility in deconstructing standards and steps for application, leveraging ChatGPT for SLO deconstruction, developing assessments and rubrics, offering examples, and discussing the implications of AI integration in education. The chapter aims to equip educators with insights and practical guidance to enhance assessment practices, fostering well-rounded student development.