The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…

The problem addressed through this study was the absence of a critical examination of laboratory exercises used with first-year nonbiology majors and the deployment of virtual laboratories in the biology department at the project site university without critical analyses associated with the efficacy of virtual labs. Grounded in Mayer's cognitive…

As an alternative to the traditional metallocene laboratory targets, students synthesize Cp[subscript 2]TiCl[subscript 2], bis([eta][superscript 5]-cyclopentadienyl)dichloridotitanium(IV), from the mildly moisture-sensitive cis-TiCl[subscript 4](thf)[subscript 2]. Air-free handling techniques are emphasized, but the (mostly) air-stable,…

Nuclear magnetic resonance (NMR) spectroscopy is a very powerful analytical method that has found many applications in physics, chemistry, biology, and medicine. It is an indispensable tool particularly for synthetic chemists because it can be used for a rapid elucidation of the structures of organic compounds. For this reason, NMR spectral…

This Article comes from a series of 2 h instrumental analysis laboratory experiments developed in response to social distancing requirements established because of the coronavirus pandemic (COVID). The experiments provided rich data-analysis opportunities that taught students the chemical principles that underpin instrumental techniques, yet made…

The COVID-19 pandemic has forced many higher education institutions to offer their courses online, which is quite challenging when implementing laboratory sessions. Here we describe a web-based teaching resource consisting of a metallographic atlas with more than 200 micrographs corresponding to pure metals, binary alloys, steels, cast irons, and…

Computational and atmospheric chemistry are two important branches of contemporary chemistry. With the present topical nature of climate change and global warming, it is more crucial than ever that students are aware of and exposed to atmospheric chemistry, with an emphasis on how modeling may aid in understanding how atmospherically relevant…

A virtual microscope resource was created when face-to-face labs were halted due to the COVID-19 pandemic in March 2020 to replicate the learning goals of an introductory petrology course on microscopy. This virtual microscope resource utilized images and videos of thin sections, as well as 3D rock models to allow students to complete labs online.…

Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…

The aim of this study was to investigate whether and how engaging with a computer-supported collaborative knowledge-building environment helps students to develop a more sophisticated approach to scientific inquiry. A total of 52 undergraduate students took a course entitled "Introduction to Natural Sciences" that was based on…

In recent decades, technology has become a constant presence in the chemistry classroom with online homework extensively used in many programs. Although research has pointed to both increased course performance and better study habits in classes that utilize online homework, little work has explored the extraneous load that these platforms place…

This article presents a study conducted at Georgia Gwinnett College (GGC) to explore the use of ChatGPT, a large language model, for fostering critical thinking skills in higher education. The study implemented a ChatGPT-based activity in introductory chemistry courses, where students engaged with ChatGPT in three stages: account setup and…

The amount of computerized information that organizations collect and process is growing so large that the term Big Data is commonly being used to describe the situation. Accordingly, Big Data is defined by a combination of the Volume, Variety, Velocity, and Veracity of the data being processed. Big Data tools are already having an impact in…

Computer-aided learning (CAL) is used increasingly to teach anatomy in post-secondary programs. Studies show that augmentation of traditional cadaver dissection and model examination by CAL can be associated with positive student learning outcomes. In order to reduce costs associated with the purchase of skeletons and models and to encourage study…

In a series of three experimental studies, the effectiveness of three-dimensional computer simulations to aid the understanding of chemical structures and their properties was investigated. Arguments for the usefulness of three-dimensional simulations were derived from Mayer's generative theory of multimedia learning. Simulations might lead to a…