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Direct linkTaylor, Gregory S.; Hord, Casey – Learning Disabilities: A Multidisciplinary Journal, 2016
An exploratory study of a middle school curriculum directly aligned with the Next Generation Science Standards was conducted with a focus on how the curriculum addresses the instructional needs of students with learning disabilities. A descriptive analysis of a lesson on speed and velocity was conducted and implications discussed for students with…
Descriptors: Middle School Students, Science Instruction, Science Curriculum, Research Methodology
Download full textYavuzcan, H. Güçlü; Sahin, Damla – Design and Technology Education, 2017
In industrial design (ID) education, mechanics-based courses are mainly based on a traditional lecture approach and they are highly abstract for ID students to comprehend. The existing studies highlight the requirement of a new approach for mechanics-based courses in ID departments. This study presents a combined teaching model for mechanisms…
Descriptors: Industry, Design, Teaching Methods, Active Learning
Trundle, Kathy Cabe; Smith, Mandy McCormick – Science and Children, 2011
Some of children's earliest explorations focus on movement of their own bodies. Quickly, children learn to further explore movement by using objects like a ball or car. They recognize that a ball moves differently than a pushed block. As they grow, children enjoy their experiences with motion and movement, including making objects move, changing…
Descriptors: Young Children, Developmental Stages, Motion, Human Body
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
