Existing personalized learning systems (PLSs) have primarily focused on providing learning analytics using data from learners. In this paper, we extend the capability of current PLSs by incorporating data from instructors. We propose a latent factor model that analyzes instructors' preferences in explicitly "excluding" particular…

Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can…

Gifted learners in one rural middle school have shown signs of underachievement, with 31% failing one or more subject areas. Due to 100% of these students meeting all standards on the Criterion Reference Competency Test (CRCT), a disparity exists between their classroom achievement scores and standardized test scores. The purpose of this…

The type of ordering criteria which students use to organize conceptual information was investigated. It was concluded that the ordering criteria reflected knowledge of a specific domain and were a function of developmental level. This information can be used by teachers as a basis for grouping. (Author/MH)

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…