Application of new automated scoring technologies, such as natural language processing
and machine learning, makes it possible to provide automated feedback on students' short …

Given the centrality of argumentation in the Next Generation Science Standards, there is an
urgent need for an empirically validated learning progression of this core practice and the …

Abstract Argumentation is a core practice of science that inherently contains uncertainty.
Relatively few studies have examined the role of uncertainty within argumentation and how …

This article presents a systematic review of how authenticity is used in science education
research and discusses the implications these uses have for the design of science …

In this study, we developed machine learning algorithms to automatically score students'
written arguments and then applied the cognitive diagnostic modeling (CDM) approach to …

There is a considerable amount of research on the nature and effectiveness of modeling as
applied to student learning in science. However, few studies have examined the role of …

Constructing arguments is essential in science subjects like chemistry. For example,
students in organic chemistry should learn to argue about the plausibility of competing …

This study aimed to investigate the evolution of students' written argumentation on
socioscientific issues (SSIs) during a sequence combining two teaching strategies: debate …

Science teachers usually view students' uncertainty as a barrier to overcome, a negative
experience to be avoided, a deficiency in need of remedy. Building on the theory of deep …

A design study was conducted to test a machine learning (ML)-enabled automated feedback
system developed to support students' revision of scientific arguments using data from …