Elementary students' difficulties with angles in geometry are well documented, but we know little about how they conceptualize angles while solving problems and how their thinking changes over time. In this study, we examined 26 third and fourth grade students completing a body-based angle task supported by the Kinect for Windows. We used…

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 need to consider the interaction of characteristics that affect students' learning is stressed. Levels of cognitive development as proposed by Piaget are presented first, with how they relate to teaching mathematics discussed. Then two cognitive styles, relating to the way an individual most efficiently processes information, are considered:…

This research investigates the interrelationships of modality strength, modality preference, field dependence-independance, sex, ecological group, and their contribution to mathematics achievement among 256 fourth-grade Puerto Rican students from four ecological environments. Ecological factors were defined as characteristics that make city areas…

The effect on performance of different formats for typical mathematics story problems was studied, along with the relationship of certain learner variables. More than 1200 children in grades 3-8, including over 220 learning-disabled students, were tested and/or interviewed. Story problems were in the usual format found in textbooks, an abbreviated…

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…