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Yuwei Chen; Nat Ku; Bonnie Lin; Jonathan Sun; Andrew Wang; Jin Kim Montclare – Discover Education, 2025
Tangible teaching aids can provide a valuable supplement to traditional textbook-based learning of fundamental STEM concepts. 3D-printed templates detailing the construction of simple parallel and series circuits were incorporated into the lesson plans for 6th-grade introductory physics. Aiming to introduce the concepts of junction and loop rules…
Descriptors: Printing, Computer Peripherals, Science Instruction, Physics
Avinal, Merve; Aydin, Abdullah – Journal of Turkish Science Education, 2022
The aim of this study is to investigate the effectiveness of the activities designed with 3D printing technology on the teaching of the sixth-grade systems in our body unit and to determine the views of students on this technology. In this study, a mixed research design in which quantitative and qualitative research methods are used together was…
Descriptors: Learning Activities, Science Education, Printing, Computer Peripherals
Daehler, Kirsten; Folsom, Jennifer; Shinohara, Mayumi – WestEd, 2011
Proven through more than a decade of rigorous research to be effective with both teachers and students, "Making Sense of SCIENCE" helps teachers gain a deep and enduring understanding of tricky science topics, think and reason scientifically, and support content literacy in science, thereby increasing student achievement. The materials…
Descriptors: Science Instruction, Teaching Methods, Scientific Literacy, Science Achievement
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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