Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

Many current national and institutional education policies address the issue of raising participation amongst young people and enhancing employability after leaving school or university. What sort of information are these policies built on? This paper compares national information systems from the last three decades across Europe that gather…

This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…

This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…

Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…

The purpose of this study was to examine the behavioral and demographic characteristics of deaf males enrolled at state school for the Deaf. An analysis of student, family, and educational variables was conducted in order to provide a composite description of both the type and frequency of the offenses and of the offender. Participants were 90…

Three different methods of data collection in which subjects judged proximity between object pairs were examined. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing interobject proximities to a fixed standard.…

The purpose of this paper was to compare job classification decisions that are reached by using three different types of job analysis information: task-oriented, worker-oriented, and abilities-oriented. Practical implications of the findings of the study are presented. (Author/KC)

Purpose: The objective of this article is to provide an analysis of articles in "Education Administration Quarterly (EAQ)" over the 25-year period 1979-2003. Approach: The approach is document analysis. Findings: Information is presented on four key themes: (a) types of articles published; (b) methodologies employed; (c) topic areas emphasized;…

The difficulties in collecting data on library inventories and expenditures are discussed first by Heron in a reply to Machlup's earlier book, and then by Machlup in a rebuttal. (LBH)

Q-technique factor analysis identifies clusters or factors of people, rather than of variables, and has proven very popular, especially with regard to testing typology theories. The present study investigated the utility of three different protocols for obtaining data for Q-technique studies. These three protocols were: (1) a conventional ipsative…

Compares two basic variants of the sorting method: single-sort and multiple sort. The nature of individual differences in sorting, as well as sex differences, were also investigated. Stimulus materials were the 15 mutually exclusive kinship terms selected by Wallace and Atkins (1960). (RC)