This paper presents a comprehensive synthesis of physics education research at the
undergraduate level. It is based on work originally commissioned by the National …

Massive pretrained language models have garnered attention and controversy due to their
ability to generate humanlike responses: Attention due to their frequent indistinguishability …

We propose a framework for improving accuracy, fluency, and retention of basic skills
essential for solving problems relevant to STEM introductory courses, and implement the …

The COVID-19 pandemic has significantly affected the education system worldwide, which
was forced to respond with a sudden shift to distance learning. While successful distance …

[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics
Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as …

Solving problems is crucial for learning physics, and not only final solutions but also their
derivations are important. Grading these derivations is labor intensive, as it generally …

Assessment in education via web tools, also known as e-assessment, deals with the
effective use of technology to support a successful pedagogy. The aim of this study was to …

Abstract Automated Short Answer Grading (ASAG) has been an active area of machine-
learning research for over a decade. It promises to let educators grade and give feedback on …

We evaluate the impact of an institutional effort to transform undergraduate science courses
using an approach based on course assessments. The approach is guided by A Framework …

Recent advances in technology and ideology have unlocked entirely new directions for
education research. Mounting pressure from increasing tuition costs and free, online course …