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Jordan P. Beck; Diane M. Miller – Journal of Chemical Education, 2022
A version of the classic rotationally resolved infrared (IR) spectrum of a diatomic molecule experiment has been developed using the POGIL framework to more fully engage students in the collection, modeling, analysis, and interpretation of the data. An analysis of the experimental protocol reveals that the POGIL approach actively engages students…
Descriptors: Learner Engagement, Chemistry, Science Instruction, Laboratory Experiments
Axel Langner; Lea Sophie Hain; Nicole Graulich – Journal of Chemical Education, 2025
Often, eye-tracking researchers define areas of interest (AOIs) to analyze eye-tracking data. Although AOIs can be defined with systematic methods, researchers in organic chemistry education eye-tracking research often define them manually, as the semantic composition of the stimulus must be considered. Still, defining appropriate AOIs during data…
Descriptors: Organic Chemistry, Science Education, Eye Movements, Educational Research
Alison Wallum; Zetai Liu; Joy Lee; Subhojyoti Chatterjee; Lawrence Tauzin; Christopher D. Barr; Amberle Browne; Christy F. Landes; Amy L. Nicely; Martin Gruebele – Journal of Chemical Education, 2023
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,…
Descriptors: Undergraduate Study, Data Science, Science Laboratories, Laboratory Equipment
Xinyun Zhao; Tsunghsueh Wu; Xi Chen; Lamei Wu; Zhongqiang Zhou – Journal of Chemical Education, 2023
An inquiry-based learning approach was implemented into comprehensive organic chemistry experiments focusing on the formation process of N-phenylbenzamide from the reaction between N-benzylideneaniline and benzoyl peroxide in commercial dimethyl sulfoxide. Students conducted comparative experiments using alternative reagents or reaction conditions…
Descriptors: Undergraduate Students, College Science, Organic Chemistry, Science Laboratories
Marek, Keith A.; Raker, Jeffrey R.; Murphy, Kristen L. – Journal of Chemical Education, 2019
Missing data is a regular issue that researchers and practitioners must consider for treatment. Commonly, cases for which data is missing are excluded from inclusion in larger data sets. However, this is not the only option and could artificially alter the sample. Other options are available for imputing missing data. Expanding on work previously…
Descriptors: Data, Science Tests, Chemistry, Data Analysis
Kathryn L. Kapp; Renã A. S. Robinson; Susan Verberne-Sutton; Kaitlyn E. Stepler – Journal of Chemical Education, 2023
Proteomics, or the study of the set of proteins in an organism, tissue, or cell, is a rapidly growing field within bioanalytical chemistry that can be used to investigate many biological questions. However, proteomics is not fully integrated into the undergraduate chemistry curriculum because of a lack of access to expertise, the cost of required…
Descriptors: Undergraduate Study, Science Education, Biochemistry, Measurement Equipment
Endler Marcel Borges – Journal of Chemical Education, 2023
In this activity, students observe chemical and physical properties of elements using an online periodic table, where these properties were shown numerically and by colors. Then the elements were divided into metals, nonmetals, and metalloids, and their periodic properties were visualized using statistical concepts such as normality, kurtosis,…
Descriptors: Data Analysis, Visual Aids, Chemistry, Science Activities
Xie, Charles; Li, Chenglu; Ding, Xiaotong; Jiang, Rundong; Sung, Shannon – Journal of Chemical Education, 2021
Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science…
Descriptors: Chemistry, Video Technology, Technology Integration, Laboratory Experiments
Green, Michael; Chen, Xiaobo – Journal of Chemical Education, 2020
For undergraduate students to be prepared for graduate school and industry, it is imperative that they understand how to merge the theoretical insights gleaned through their undergraduate education with the raw data sets acquired through materials analysis. Thus, the ability to implement data analysis is a vital skill that students should develop.…
Descriptors: Undergraduate Students, Data, Chemistry, Programming Languages
Jakub A. Konkol; George Tsilomelekis – Journal of Chemical Education, 2023
Preprocessing is a critical step in the analysis pipeline of spectroscopic data. However, students are rarely introduced to preprocessing when learning spectral techniques in laboratory courses which in turn may affect and delay their progress in the field. Despite its undoubtable importance, students will be mainly performing spectroscopic…
Descriptors: Laboratory Experiments, Science Instruction, Spectroscopy, Interaction
Joseph Chiarelli; Melissa A. St. Hilaire; Brandi L. Baldock; Jimmy Franco; Stephen Theberge; Anthony L. Fernandez – Journal of Chemical Education, 2025
There is a growing need for chemistry students to be able to handle and manipulate large datasets and analyze them in an efficient and accessible way. This creates the need to develop course materials that introduce these topics early in the undergraduate curriculum. To address this growing need, this activity introduced RStudio to students…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Students
Ricardo J. Ferna´ndez-Tera´n; Estefani´a Sucre-Rosales; Lorenzo Echevarria; Florencio E. Hernández – Journal of Chemical Education, 2022
We present a detailed yet easy-to-follow discussion of the mathematical treatment of time-resolved spectroscopic data in a model-based approach. This is accompanied and complemented by an example of a colorful and pedagogically rich chemical reaction: the permanganate oxidation of sugars in basic aqueous media (often known as the chameleon…
Descriptors: Spectroscopy, Chemistry, Science Instruction, Mathematics
Stanley-Gray, Jacob; Zhang, Zhaojie; Venkataraman, D. – Journal of Chemical Education, 2021
We have updated a version of the coordination geometry table of the d-block elements and their ions that Moore and co-workers presented in 1997. This table is constructed by searching and analyzing the data in the Cambridge Structural Database. In this updated version, we have also analyzed impact of ligands on the coordination geometry and…
Descriptors: Geometry, Geometric Concepts, Chemistry, Search Engines
Annabelle T. Lolinco; Thomas A. Holme – Journal of Chemical Education, 2024
Technological tools, like virtual assistants (aka chatbots), have been ubiquitous in people's day to day. The challenge becomes how educators leverage digital omnipresence to benefit the learning environment. Using a curated chatbot allows educators to reach more students with instructor-approved information, particularly in large classrooms.…
Descriptors: Help Seeking, Chemistry, Artificial Intelligence, Technology Uses in Education
Marie van Staveren – Journal of Chemical Education, 2022
This paper shows a method for integrating computer programming into a standard physical chemistry laboratory sequence to augment student data analysis abilities and allow them to carry programming skills forward to other courses. The Python programming language is used, taking advantage of the pedagogical benefits of Jupyter notebooks, primarily…
Descriptors: Programming Languages, Educational Technology, Chemistry, Science Laboratories

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