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Menke, Erik J. – Journal of Chemical Education, 2020
UC Merced's upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
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Tan, Song Wei Benjamin; Naraharisetti, Pavan Kumar; Chin, Siew Kian; Lee, Lai Yeng – Journal of Chemical Education, 2020
The advance of digital technology presents an opportunity to equip students with relevant skill sets as "Scientists of the Future" who are able to utilize knowledge at the interface between various disciplines. In this technology report, an open source programming language is used to automate a simple laboratory experiment commonly…
Descriptors: Programming Languages, Science Instruction, Chemistry, Computer Science Education
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Seshadri, Keshavan; Liu, Peng; Koes, David Ryan – Journal of Chemical Education, 2020
Classroom response systems are an important tool in many active learning pedagogies. They support real-time feedback on student learning and promote student engagement, even in large classrooms, by allowing instructors to solicit an answer to a question from all students and show the results. Existing classroom response systems are general purpose…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Programming Languages
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Möglich, Andreas – Journal of Chemical Education, 2018
The quantitative evaluation of experimental data and their graphical presentation are integral to teaching and research in chemistry and the life sciences. Data are commonly fitted to physical models, which in all but the simplest cases are expressed as nonlinear mathematical functions. To facilitate data evaluation in both teaching and research…
Descriptors: Least Squares Statistics, Data, Chemistry, Science Instruction