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Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
Brazziel, William F. – 1988
This paper examines the changing demographics of American society and the impact of these changes on higher education. Discussions include a historical background of early American demography, the building and expansion of the population base, and census changes through various generations of the baby boom years and beyond. Next, the report…
Descriptors: Adult Education, Baby Boomers, Birth Rate, Census Figures
Deane, Robert T.; And Others – 1977
The development of econometric models and a data base to predict the responsiveness of arts institutions to changes in the economy is reported. The study focused on models for museums, theaters (profit and non-profit), symphony, ballet, opera, and dance. The report details four objectives of the project: to identify useful databases and studies on…
Descriptors: Arts Centers, Cultural Centers, Dance, Databases
Saunders, S. – 2001
Training indicators are functional suites of quantitative and qualitative indicators of current or future vocational education and training (VET) supply and demand. The training indicators approach to educational planning considers indicators of present and likely future conditions for skilled labor and forms judgments about the most appropriate…
Descriptors: Academic Standards, Benchmarking, Comparative Analysis, Data Analysis