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Frischemeier, Daniel; Biehler, Rolf – Statistics Education Research Journal, 2018
Group comparisons offer students opportunities to reason about many fundamental statistical concepts like center, variation, or distribution. When doing such activities using large, real datasets, technology becomes an essential tool for exploring the data. With its large variety of features and its user-friendly handling, TinkerPlots™--as a…
Descriptors: Graphs, Teaching Methods, Educational Technology, Technology Uses in Education
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Hill, Matthew; Sharma, Manjula Devi – EURASIA Journal of Mathematics, Science & Technology Education, 2015
To succeed within scientific disciplines, using representations, including those based on words, graphs, equations, and diagrams, is important. Research indicates that the use of discipline specific representations (sometimes referred to as expert generated representations), as well as multi-representational use, is critical for problem solving…
Descriptors: Case Studies, Graduate Students, Qualitative Research, Coding
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Ardiç, Avsar; Cavkaytar, Atilla – Education and Training in Autism and Developmental Disabilities, 2014
The purpose of this study was to determine effectiveness of a modified version of Azrin and Foxx's (1971) intensive toilet training method on teaching of toilet skills to children with autism. This method consists of administering extra fluids and a time schedule, but does not use overcorrection procedures. Implementation requires a study of six…
Descriptors: Daily Living Skills, Autism, Program Effectiveness, Toilet Training
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Carruthers, Sarah; Masson, Michael E. J.; Stege, Ulrike – Journal of Problem Solving, 2012
Recent studies on a computationally hard visual optimization problem, the Traveling Salesperson Problem (TSP), indicate that humans are capable of finding close to optimal solutions in near-linear time. The current study is a preliminary step in investigating human performance on another hard problem, the Minimum Vertex Cover Problem, in which…
Descriptors: Performance, Problem Solving, Graphs, Mathematics
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Lowrie, Tom; Diezmann, Carmel M.; Kay, Russell – Evaluation & Research in Education, 2011
The graphics-decoding proficiency (G-DP) instrument was developed as a screening test for the purpose of measuring students' (aged 8-11 years) capacity to solve graphics-based mathematics tasks. These tasks include number lines, column graphs, maps and pie charts. The instrument was developed within a theoretical framework which highlights the…
Descriptors: Screening Tests, Mathematics Achievement, Mathematical Aptitude, Graphs
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Ivanov, Anisoara; Neacsu, Andrei – European Journal of Physics Education, 2011
This study describes the possibility and advantages of utilizing simple computer codes to complement the teaching techniques for high school physics. The authors have begun working on a collection of open source programs which allow students to compare the results and graphics from classroom exercises with the correct solutions and further more to…
Descriptors: Science Instruction, Physics, Teaching Methods, Educational Technology
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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