In this study, we analyzed how general chemistry students generated experimental designs corresponding to general chemistry questions such as the ones typically found in general chemistry textbooks. We found that students were very successful in including experimental design aspects that were explicitly mentioned in the general chemistry…

Calculating analytical uncertainties as a part of method validation is a relevant aspect of field and laboratory practices in instrumental analytical chemistry subjects, which usually require complex algorithms. This work describes the development and didactic use of an automatic and straightforward informatics tool, implemented in an Excel macro,…

We developed a single crystal X-ray crystallography experiment based on the crystal structure of sucrose (table sugar), and a more challenging experiment using Epsom salt. Both crystals are readily available in X-ray quality crystalline form. In these experiments, students mounted a crystal on a MiTeGen loop and analyzed it using a Rigaku XtaLAB…

University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding…

The crystalline sponge method allows for direct and precise molecular structure determination of liquid and gaseous targets and thus has been recognized as a revolutionary breakthrough in crystallography. To expose undergraduates to this cutting-edge technique, we have developed a comprehensive laboratory experiment with reaction conditions and…

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…

Laboratory automation and data science are valuable new skills for all chemists, but most pedagogical activities involving automation to date have focused on upper-level coursework. Herein, we describe a combined computational and experimental lab suitable for a first-year undergraduate general chemistry course, in which these topics are…

Differential equations are widely used tools for modelling the world around us, making a course in differential equations a natural place for students to connect concrete mathematical applications to abstract concepts. Since students grasp the concepts better by applying them, introducing differential equations through modelling becomes essential.…

Designing a relevant and engaging curriculum for biochemistry undergraduates can be challenging for topics which are at the periphery of the subject. We have used the framework of context-based learning as a means of assessing understanding of quantum theory in a group of students in their junior year. Our context, the role of retinol in skincare,…

This paper introduces a novel virtual method to conduct continuous distillation experiment in an undergraduate unit operation laboratory with the help of SPM 700 Distillation Column, one of the modules available in Simtronics, a commercial process operation simulator. Simtronics simulator is a powerful tool to teach process industry skills and it…

Undergraduates use a spike sorting routine developed in Octave to analyze the spiking activity generated from mechanical stimulation of spines of cockroach legs with the inexpensive SpikerBox amplifier and the free software Audacity. Students learn the procedures involved in handling the cockroaches and recording extracellular action potentials…

As data science and instrumentation become key practices in common careers ranging from medicine to agriscience, chemistry as a core introductory course must introduce such topics to students early and at an accessible level. Advanced data acquisition and data science generally require expensive precision instrumentation and massive computation,…

CRISPR-Cas9 is revolutionizing how we conduct scientific research, treat disease, and develop new crops. The widespread impact of this genome-editing technology makes it critical for undergraduate students to understand and engage with this new tool. In this article, we describe a multi-week lab module that teaches undergraduates how to design…

The article introduces a low-cost Arduino sensor into the Young's modulus determination laboratory for physics university students. A stainless steel ruler is used as a cantilever beam. Its free end attached a mass is slightly bent and released to make it oscillate as a simple harmonic motion. The Arduino sensor detects the moving mass's frequency…

Virtual laboratories and simulations have emerged as innovative solutions for science teaching. However, existing resources have various limitations and constraints including cognitive load/mental burden and limited coverage of all necessary steps in scientific inquiry, focusing mainly on the experimental simulation. To bridge this gap and address…