Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…

The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…

Functional roles may explain the learning performance of groups. Detecting a functional role is critical for promoting group learning performance in computer-supported collaborative learning environments. However, it is not easy for teachers to identify the functional roles played by students in a web-based learning group, or the relationship…

A computer program for solving the conditional likelihood equations arising in the Rasch model for questionnaires is described. The estimation method and the computational problems involved are described in a previous research report by Andersen, but a summary of those results are given in two sections of this paper. A working example is also…

Papers on local area networks (LANs), modelling techniques, software improvement, capacity planning, software engineering, microcomputers and end user computing, cost accounting and chargeback, configuration and performance management, and benchmarking presented at this conference include: (1) "Theoretical Performance Analysis of Virtual…

In the first of a two-part document, the Westinghouse Learning Corporation delineates the major aspects of research to be carried out in the experimental leadership course instituted at the United States Naval Academy (the final report appears under EM 010 418, EM 010 419, and EM 010 484). Specific topics covered in this part include validation of…

In the second of a two-part document (part I is under EM 010 475), the Westinghouse Learning Corporation provides further details on the research to be carried out in the experimental leadership course instituted at the United States Naval Academy (the final report appears under EM 010 418, EM 010 419, and EM 010 484). Further details are…

This report is the first of a two-part document which presents the results of the research conducted during the first implementation of the leadership, psychology and management course at the United States Naval Academy. A detailed discussion of the background of the research, the research plan, and its implementation is provided. The second part…

An explication of the modification to the research design for the second implementation of the United States Naval Academy leadership course developed by the Westinghouse Learning Corporation is provided. A comparison is made, where applicable, of the results of the experimental manipulations in the spring and fall implementations. A summary of…

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…