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Çelik, Ahmet; Özdemir, Selçuk – International Journal of Technology and Design Education, 2020
This study aims at alternatively assessing the 3D-printed prototype performances showed by young pupils during tinkering activities, as well as developing an instructional rubric that can be evaluated in line with the requirements of tinkering learning. In this direction, a draft rubric has been created by literature review and 3D product…
Descriptors: Scoring Rubrics, Computer Peripherals, Student Evaluation, Creative Activities
McConnell, William; Dickerson, Daniel – Science and Children, 2017
In this article, the authors describe a fourth-grade lesson where 3-D printing technologies were not only a stimulus for engagement but also served as a modeling tool providing meaningful learning opportunities. Specifically, fourth-grade students construct an argument that animals' external structures function to support survival in a particular…
Descriptors: Persuasive Discourse, Computer Peripherals, Printing, Technology Uses in Education
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