Aim/Purpose: We aim to bring a better understanding of technology use in the educational context. More specifically, we investigate the determinants of webinar acceptance by university students and the effects of this acceptance on students' outcomes in the presence of personal characteristics such as anxiety, attitude, computer self-efficacy, and…

The Early Warning System is a tool developed by the National High School Center to collect data on indicators including attendance, grade point average, course failures, and credits earned. These indicators have been found to be highly predictive of a student's likelihood of dropping out of high school in large, urban areas. The Early Warning…

Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…

This brief report outlines the preliminary plans of the University of Hawaii to develop a student flow model for its seven community colleges. This model will indicate the flow of students--progressing through class levels, changing majors, leaving or withdrawing from the institution. It will be used as a basic tool for planning and management…

The use of the Absence Registration System (ARS), a computer-assisted system that supports registration of absent students, and its effects on truancy were studied in 30 Dutch urban secondary schools. Reasons why results do not show a significant reduction in absenteeism are discussed. (SLD)

The 14 City Technology Colleges (CTCs) opened so far in Great Britain are achieving an average attendance rate of between 90 percent and 97 percent. This high level of attendance has been assisted by the use of electronic registration (role taking) devices, including smart cards, portable computers, and optical readers. This report compares…