Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

Chemistry simulations using interactive graphic user interfaces (GUIs) represent uniquely effective and safe tools to support multidimensional learning. Computer literacy and coding skills have become increasingly important in the chemical sciences. In response to both of these facts, a series of Jupyter notebooks hosted on Google Colaboratory…

Contribution: A systematic approach to MATLAB problem design and automated assessment is described, based on the experience working with the MATLAB server provided by MathWorks and integrated with the edX massive online open class (MOOC) platform. Background: New technologies, such as MOOCs, provide innovative methods to tackle new challenges in…

We described and ran a lesson plan for a build-your-own visible-range spectrophotometer undergraduate project as inspired by the research of Bougot-Robin, Imperial College London. Students were required to improve a basic Raspberry Pi spectrophotometer design and evaluate their improvements. Students learned firsthand how to manage instrumental…

This study analyzes the impact of adding a review exercises module to an online tool used in a software engineering degree program. The objective of the module is to promote students' self-learning effort to improve their performance. We also intend to determine if this new feature has any effect on the amount of code copies detected in lab…