The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…

The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

Past research have pointed out that excellent strategies have been written but extremely small have been accomplished in their implementation. It has additionally been proposed that only 10% of formulated strategies are successfully implemented. However, crafting the best strategy is not the end in itself but the ultimate result will only be…

Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…

Designing learning experiences that support the development of coherent understanding of complex scientific phenomena is challenging. We sought to identify analytics that can also guide such designs to support retention of coherent understanding. Based on prior research that distributing study of material over time supports retention, we explored…

In this study, the perceptions related to strategies of conflict management, organizational confidence, organizational justice, organizational commitment and evaluating the manager which are effective on the organizational behavior of teachers are studied. The research is a discretional study in the model of survey. The high-schools in the center…

Individuals working with young children, birth through age five, continue to strive for professional recognition. Factors that contribute to a person's feelings about being a child care professional were investigated. Stratified random sampling was used for data collection. Participants in the study responded to mailed questionnaires concerning a…

As Web 2.0 tools and technologies increase in popularity in consumer markets, enterprises are seeking ways to take advantage of the rich social knowledge exchanges that these tools offer. The problem this study addresses is that it remains unknown whether employees perceive that these tools offer value to the organization and therefore will be…

This technical report, produced in partnership by the Council for Advancement and Support of Education (CASE) and SPSS Inc., explores the promise of data mining alumni records at educational institutions. Working with individual alumni records from The Johns Hopkins Zanvyl Krieger School of Arts and Sciences, a predictive regression model is…

Purpose: We examined the relationship between the quality indicator for decline in activities of daily living (ADL) and the use of the Minimum Data Set (MDS) for determining Medicaid skilled nursing facility reimbursement. Design and Methods: We conducted a cross-sectional analysis using the 2004 National MDS Facility Quality Indicator reports as…

National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…

The relative precision of four methods of estimating missing data in principal components analysis was investigated. Artificial data with known characteristics, obtained from Cattell's "Plasmode: 30-10-4-2," was used with one third of the data on half of the variables being systematically eliminated. The four methods of missing data estimation…

Multiple regression analyses were employed to determine the relationships between achievement variables as predictors of the performance on the National Board of Medical Examiners examinations of medical students. Score averages were added to a composite Medical College Admission Test to investigate the increases in prediction accuracy.…

This invitational conference was convened to report the principal findings of a six-year study of possible sources of bias in the prediction of job performance. The research was conducted jointly by Educational Testing Service and the U.S. Civil Service Commission, supported by the Ford Foundation. Data were gathered on test and job performance of…

The National Diffusion Network provides a model for the adoption of outstanding educational programs. This second volume of the Final Report on the Evaluation of the National Diffusion Network consists of a series of technical supplements to Volume I, which contains the findings and recommendations. These technical supplements provide details of…