The U.S. Department of Education (ED) expects all Teacher Incentive Fund (TIF) grantees to conduct an evaluation of their programs. Experience with earlier rounds of TIF grants has shown that evaluations can provide valuable information for managing and improving TIF-supported activities, as well as evidence that these activities have had a…

We use data from Washington State to examine two stages of the teacher pipeline: the placement of prospective teachers in student teaching assignments; and the hiring of prospective teachers into their first teaching positions. We find that prospective teachers are likely to complete their student teaching near their college and hometowns, but…

This study measured aspects of the couple relationship to examine direct and indirect relations with parental involvement in education and children's school outcomes. The sample (n = 100) consisted of families that have at least one child between the ages of 8 and 11 in urban central Taiwan. Findings indicated that couple relationship quality is…

This paper is a review which presents a summary of 52 studies from 2006 to 2016 in Quality Management (QM) within Higher Education Institutes (HEIs). The aim of this paper is to submit evidence regarding the level of QM in HEIs, particularly in developing countries, and also to enhance the research in the field of QM. The findings reveal that from…

Program evaluation is a process of carefully collecting information in order to make informed decisions to strengthen specific components of a given program. The type of evaluation an institution decides to undertake depends on the purpose as well as on the information the institution wants to find out about its program. Self-evaluation represents…

Information and Communication Technologies (ICT) has changed the way we communicate and carry out certain daily activities. Globally, ICT has become an essential means for disseminating information. Using Accra Technical University in Ghana as a case study, this paper proposes an ICT model called Awareness Incentives Demand and Support (AIDS). Our…

Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…

As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…

In this study, an attempt was made to predict the students' mathematical academic underachievement at the Islamic Azad University-Yadegare-Imam branch and the appropriate strategies in mathematical academic achievement to be applied using the Data Envelopment Analysis (DEA) model. Survey research methods were used to select 91 students from the…

Exploring the popular explanation that the global spread of English may demotivate students with English as their first language to learn other languages, this study investigates relations between student motivation and perception of Global English and tests for differences between traditional "campus" and distance university students…

In a randomized controlled trial, a decision needs to be made about the total number of subjects for adequate statistical power. One way to increase the power of a trial is by including a predictive covariate in the model. In this article, the effects of various covariate adjustment strategies on increasing the power is studied for discrete-time…

The study empirically tests an integrative model of work satisfaction (0280, 0140, 0300 and 0255) in a sample of 5,022 teachers in Abu Dhabi in the United Arab Emirates. The study provided more support for the Lent and Brown (2006) model. Results revealed that this model was a strong fit for the data and accounted for 82% of the variance in work…

Tagging systems represent the conceptual knowledge of a community. We experimentally tested whether people harness this collective knowledge when navigating through the Web. As a within-factor we manipulated people's prior knowledge (no knowledge vs. prior knowledge that was congruent/incongruent to the collective knowledge inherent in the tags).…

Local dependence (LD) for binary IRT models can be diagnosed using Chen and Thissen's bivariate X[superscript 2] statistic and the score test statistics proposed by Glas and Suarez-Falcon, and Liu and Thissen. Alternatively, LD can be assessed using general purpose statistics such as bivariate residuals or Maydeu-Olivares and Joe's M[subscript r]…

Performance in working memory and short-term memory tasks was employed for predicting performance in a long-term memory task in order to find out about the underlying processes. The types of memory were represented by versions of the Posner Task, the Backward Counting Task and the Sternberg Task serving as measures of long-term memory, working…