Writing is an essential component of scientific activity. As such, it is necessary to develop strategies to provide equitable training opportunities for science writing. In order to provide learners with ways to improve their writing regardless of their language background and/or institutional and departmental environments, this article describes…

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,…

FINDIF is a Windows application that numerically solves the one-dimensional (1D) Schrödinger equation and displays the eigenstates, eigenvalues, and probability density of the system. FINDIF accepts both nonperiodic and periodic 1D potential energy functions as input and uses the finite difference method to evaluate the energy of the quantum…

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…

In this paper a class of regular surfaces, generated by rotation and twist of a rigid line segment, is considered. Firstly a complete description of those surfaces by means of local charts is obtained and then its orientability is characterized in terms of the number of half-twists, taking into account their direction (clockwise or…

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…

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…

To enhance teaching and learning about Earth's climate and global climate change (GCC) in secondary science classrooms, the authors are engaged in a four-year, National Science Foundation (NSF)-funded project to develop, implement, and evaluate a new four-week curriculum module grounded in the use of a data-driven, computer-based climate modeling…

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…

This article describes a five-day online energy module, developed by the Concord Consortium (an educational research and development organization) in which students compare the effects of various energy sources on air quality, water quality, and land use. The module's interactive models explore hydraulic fracturing, real-world data on energy…

Models are an important tool in science: not only do they act as a convenient device for describing a system or problem, but they also act as a conceptual tool for framing and exploring hypotheses. Models, and in particular computer simulations, are also an important education tool for training scientists, but it is difficult to teach students the…

The Moffitt-Woodward-Moscowitz-Klyne-Djerassi octant rule is one of the most successful empirical rules in organic chemistry. However, the lack of a simple effective modeling method for the octant rule in the past 50 years has posed constant difficulties for researchers, teachers, and students, particularly the young generations, to learn and…

Children of Generation Y are entering our schooling system. These children have always known instant communication and the internet. They possess basic skills in using technology, but they still need to develop a deeper understanding of technology. Teaching longitudinally will increase the learner's confidence and develop a deeper understanding.…

Despite a long history of use across multiple disciplines, analytical pyrolysis is rarely taught in undergraduate curricula. We briefly review some interesting applications and discuss the three types of analytical pyrolyzers available commercially. We also describe a low-cost alternative that can be used to teach the basic principles of…