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Authors:
Luiza Souza
Pedro Ceccon
Silvana Alves
Raphael Kitahara
Keywords: Chemistry; education; machine learning; mobile app; CoreML.
Abstract:
The study of Chemistry is part of the mandatory school curriculum in Brazilian basic education and is considered by students to be a difficult subject to understand and abstract, generating resistance in learning, assimilation of concepts, and applicability in everyday life. As an experimental science, laboratory practice has contributed to students' learning. However, it is not always possible to carry out experiments, as many schools do not have the necessary physical requirements or for classes that are taught online. This article presents the development of a mobile application that uses machine learning to improve the process of teaching chemistry, making it possible to identify hand-drawn molecules and display 3D virtual correspondents, showing the structure of the element as well as information that relates it to everyday life.
Pages: 31 to 34
Copyright: Copyright (c) IARIA, 2024
Publication date: March 10, 2024
Published in: conference
ISSN: 2308-3913
ISBN: 978-1-68558-140-4
Location: Athens, Greece
Dates: from March 10, 2024 to March 14, 2024