An empirical study has been carried out to evaluate the potential of word order matching and static comparison as explanatory models of reversal error. Data was collected from 214 undergraduate students who translated a set of additive and multiplicative comparisons expressed in Spanish into algebraic language. In these multiplicative comparisons…

Data analysis methods, both numerical and visual, are used to discover a variety of surprising patterns in the errors associated with successive approximations to the derivatives of sinusoidal and exponential functions based on the Newton difference-quotient. L'Hopital's rule and Taylor polynomial approximations are then used to explain why these…

In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…

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…

This report was designed to provide information on the effectiveness of the high school mathematics program in Hawaii, including identification of deficiency areas. The Stanford Achievement Test of Academic Skills (TASK) Level 1 was administered to 10,154 tenth-grade students in October 1983. In general, the students did not perform as well as the…

This report was designed to provide information on the effectiveness of the mathematics instructional program in grade 2 in Hawaii, including identification of deficiency areas. The Stanford Achievement Test, Primary Level II, was administered in May 1984 to 12,106 students in grade 2. In general, these students performed better than the national…

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…

Data from 32 state assessments in mathematics (conducted in 1984 and earlier) are analyzed in this document. The high degree of variability across the states is stressed, with some of the points of variation in the test development, administration, and analysis process noted. Information is then presented on topics on which students are doing well…

Data from the Stanford Test of Academic Skills Level I, administered to 10,910 tenth graders in Hawaii in Fall, 1985, are analyzed. The purposes of this report are to provide information on the effectiveness of the mathematics program in the high school, including the identification of deficiency areas and recommendations for improving…

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…