Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…

This guide will help researchers design and implement impact studies in education so that the findings are more generalizable to the study's target population. Guidance is provided on key steps that researchers can take, including defining the target population, selecting a sample of schools--and replacement schools, when needed--managing school…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

Promoting creativity is considered an important goal of education, but creativity is notoriously hard to define and measure. In this paper, we make the journey from defining a formal creativity and applying the measure in a practical domain. The measure relies on core theoretical concepts in creativity theory, namely fluency, flexibility, and…

Neoliberal discourses defining and measuring "student achievement" and "teacher success" through myopic high-stakes testing-driven criteria for "accountability," can perpetuate the very inequities these reforms purport to address. Nested within a five-year inquiry using grounded theory to investigate experiences of…

Educational software makers are often rebuffed by educational authorities, whose endorsements could lead to governmental stamps of approval, and thus explosive sales. But they usually get warmer receptions in the offices of the nation's school superintendents, who are, after all, their primary customers. The system was not supposed to work this…