The goal of this study is to analyze undergraduate elementary school pre-service teachers' conceptions and misconceptions of physical and virtual manipulative materials using an interpretive "framework." The "framework" involved the use of the "Concrete," "Pictorial" and "Abstract cognitive levels"…

Understanding and applying statistical concepts is essential in modern life. However, common statistical misconceptions limit the ability of students to understand statistical concepts. Although simulation-based computer assisted learning (CAL) is promising for use in students learning statistics, substantial improvement is still needed. For…

The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…

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…

While other research has begun to contribute to our understanding of how pre-college students reason about variation, little has been published regarding pre-service teachers' statistical conceptions. This paper summarizes a framework useful in examining elementary pre-service teachers' conceptions of variation, and investigates the question of…

Contains six abstracts of papers from the National Educational Computing Conference of 1986. Topics of the papers focus on the effects of teacher involvement, computer programs in applied mathematics and physics, microcomputer labs in science, graphing misconceptions, science simulations, and mastery learning with computers. (ML)