Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a…

In this article, we provide an approach to solve the problem of academic specialty selection in higher educational institutions with Ukrainian entrants as our target audience. This concern affects operations at universities or other academic institutions, the labor market, and the availability of in-demand professionals. We propose a…

There is an increasing requirement in higher education (HE) worldwide to deliver excellence. Benchmarking is widely used for this purpose, but methodological approaches to the creation of benchmark metrics vary greatly. Approaches require selection of factors for inclusion and subsequent calculation of benchmarks for comparison. We describe an…

Research on the group characteristics and channels for selection of party secretaries at private institutions of higher education has important significance in strengthening leadership by party organizations and perfecting internal governance structures at private institutions of higher education. A survey of 293 private institutions of higher…

The Council for Advancement and Support of Education (CASE) launched the volunteer-led Asia-Pacific Alumni Relations Survey in 2014 to provide a resource for alumni relations professionals to benchmark performance internally and against fellow institutions of higher education. That was the first survey CASE has done on alumni relations programmes…

At the University of North Carolina at Chapel Hill, a seminar on planning and policy analysis is offered for doctoral students who wish to conduct planning and forecasting studies for their doctoral dissertations or who simply wish to learn such techniques. One of the major projects of the seminar is the development of an environmental scanning…

Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)

Examined are methodologies for modeling students' choices among higher education institutions. A statistical technique called "conditional logit analysis" is applicable to the problem studied. These applications are reviewed and certain weaknesses inherent in the approach are pointed out. Alternative approaches are offered, based on the…

The major benefit of an environmental scanning/forecasting system is in providing critical information for strategic planning. Such a system allows the institution to detect social, technological, economic, and political trends and potential events. The environmental scanning database developed by United Way of America is described. (MLW)

Wesleyan University's imaginative use of computer programing helped project into the future and consider alternative fund-raising methods. The process of planning the model and its use in assessing three program options are outlined, and the computer method's usefulness in motivating development staff is emphasized. (MSE)

This study addressed the question of whether student loan repayment and default behaviors are more highly related to the characteristics of the college attended or to the characteristics of the aid recipient. The model for the study was based on theories of human capital and public subsidy, ability to pay perspectives, organizational…

This report summarizes the deliberations of the Office of Scientific and Engineering Personnel's Committee on Data Needs for Monitoring Labor-Market Conditions for Engineers. The purpose of this report is to help the profession make existing data bases on engineers more complete, accurate, and compatible. The report is also intended to help…

This study examined the predictive validity of precollege variables, such as high school rank, high school mathematics and science preparation, motivation, and self-regulated learning variables in predicting academic achievement status for high- and low-achieving university students using hierarchical logistic regression. The variables used were…

Selected data drawn from national sources are statistically refined to construct a microcomputer-based model for monitoring academic quality and simulating the effects of management decisions. The method, illustrated for doctoral institutions here, can be used for colleges at any level, across institutions, and over time. (MSE)

Discusses importance of academic planning and describes a model-based decision support system for academic units in a university hierarchy. This system integrates macro-level decisions by examining individual departments' budgets to determine future plans. Quantitative techniques for forecasting change are reviewed, including use of spreadsheet…