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Sghir, Nabila; Adadi, Amina; Lahmer, Mohammed – Education and Information Technologies, 2023
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…
Descriptors: Prediction, Learning Analytics, Artificial Intelligence, Data Collection
Liu, Bin; Bi, Qing-sheng – Online Submission, 2010
The Verhulst model can be used to forecast the sequence, which is characterized as non-monotone and fluctuant sequence or saturated S-form sequence. According to the situation of national enrollment scale of college, this paper forecasts the quantity of students taking entrance examination to college with a Verhulst model with remedy based on data…
Descriptors: Higher Education, Foreign Countries, Mathematical Models, College Entrance Examinations
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
DiConsiglio, John – CURRENTS, 2010
Annual giving is the number one indicator that someone will make a major or planned gift. Annual funds are the meat and potatoes of fundraising. But if the annual fund has recently taken a backseat to major and megagifts, the recession made a bad situation even worse. Today, most annual fund performance indicators have plummeted. Virtually all…
Descriptors: Fund Raising, Economic Climate, Economic Impact, Donors
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Austin, Gilbert R.; Ryan, Bruce – Journal of Educational Data Processing, 1971
Descriptors: Admission (School), Computer Oriented Programs, Counseling Services, Data Processing

Ruskin, Arnold M. – Educational Record, 1971
A jointly supported forecasting service could make the benefits of prediction economically feasible for many institutions. (Editor)
Descriptors: Courses, Curriculum Development, Data Collection, Data Processing
Pope, James A.; Cross, Edward M. – CAUSE/EFFECT, 1982
The design of a database interface, the different types of decisions supported, the nature and applications of the system outputs, and continuing work on extending the system are described. The system was designed to forecast the enrollment for Guilford College. (Author/MLW)
Descriptors: College Admission, Data Processing, Decision Support Systems, Enrollment
McCaskey, Cynthia Gelhard; Dunn, John A., Jr. – CASE Currents, 1983
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)
Descriptors: Alumni, College Planning, Computer Programs, Data Processing
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers