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Miha Ambro?, Johannes Pernaa, Outi Haatainen and Maija Aksela
A project using a single board computer offers at a great learning experience, and a good project context for future chemistry teachers to implement in their future teaching careers. Its versatility is also a great challenge that needs addressing.
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Wajeeh Daher, Hussam Diab and Anwar Rayan
In recent years, artificial intelligence (AI) has emerged as a valuable resource for teaching and learning, and it has also shown promise as a tool to help solve problems. A tool that has gained attention in education is ChatGPT, which supports teaching ...
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Ioannis G. Tsoulos and Alexandros Tzallas
Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc. Such problems can be r...
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Aseel Alhadlaq
Today, computer-based simulations are widely used in a range of industries and fields for various purposes. They are helpful in testing different scenarios and hypotheses, allowing users to explore the consequences of different decisions and actions. Thi...
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Zhenwei Yang, Hang Lv, Xinyi Wang, Hengrui Yan and Zhaofeng Xu
In recent years, inrush water has hampered the regular mining of coal mines, and the proper identification of the source of inrush water is critical to the prevention and management of water hazards in mines. This paper extracts the standard water chemis...
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Dhan Lord B. Fortela, Ashton C. Fremin, Wayne Sharp, Ashley P. Mikolajczyk, Emmanuel Revellame, William Holmes, Rafael Hernandez and Mark Zappi
This work focused on demonstrating the capability of unsupervised machine learning techniques in detecting impending anomalies by extracting hidden trends in the datasets of fuel economy and emissions of light-duty vehicles (LDVs), which consist of cars ...
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Anthony E. Hughes, David A. Winkler, James Carr, P. D. Lee, Y. S. Yang, Majid Laleh and Mike Y. Tan
Machine learning (ML) is providing a new design paradigm for many areas of technology, including corrosion inhibition. However, ML models require relatively large and diverse training sets to be most effective. This paper provides an overview of developm...
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Blake G. Hudson and Sara E. Mason
Complex metal oxides (CMOs) are used broadly in applications including electroreactive forms found in lithium-ion battery technology. Computational chemistry can provide unique information about how the properties of CMO cathode materials change in respo...
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Sebastian Keller, Stefan Rumann and Sebastian Habig
This paper presents a study about augmented-reality-based chemistry learning in a university lecture. Organic chemistry is often perceived as particularly difficult by students because spatial information must be processed in order to understand subject ...
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Ahmad Ewais,Rami Hodrob,Mohammad Maree,Sirien Jaradat
Pág. pp. 105 - 118
Elementary school pupils can face different difficulties to learn different topics. Among the different topics, learning chemical elements and their different properties and interactions. A way to make the learning process easier and effective is using m...
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