The emergence of innovative technologies has an impact on the methods of teaching and
learning. With the rapid development of artificial intelligence (AI) technology in recent years …

As a consequence of the advent of new technologies, teaching and learning methods have
evolved dramatically. Artificial intelligence (AI) applications in educational settings are …

[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 …

Deployment of AI assessment tools in education is widespread, but work on students'
interactions and attitudes towards imperfect autograders is comparatively lacking. This …

Autograding short textual answers has become much more feasible due to the rise of NLP
and the increased availability of question-answer pairs brought about by a shift to online …

Reading, understanding and explaining code have traditionally been important skills for
novices learning programming. As large language models (LLMs) become prevalent, these …

Errors in AI grading and feedback often have an intractable set of causes and are, by their
nature, difficult to completely avoid. Since inaccurate feedback potentially harms learning …

Abstract Machine learning methods can be used to reduce the manual workload in exam
grading, making it possible for teachers to spend more time on other tasks. However, when it …

Learning to program requires the development of a variety of skills including the ability to
read, comprehend, and communicate the purpose of code. In the age of large language …