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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
Verma, Anil; Singh, Aman; Lughofer, Edwin; Cheng, Xiaochun; Abualsaud, Khalid – Journal of Computing in Higher Education, 2021
Sustainable quality education is a big challenge even for the developed countries. In response to this, education 4.0 is gradually expanding as a new era of education. This work intends to unfold some hidden parameters that are affecting the quality education ecosystem (QEE). Academic loafing, unawareness, non-participation, dissatisfaction, and…
Descriptors: Educational Quality, Ecology, Sustainability, Higher Education
Jakab, Imrich; Ševcík, Michal; Grežo, Henrich – Electronic Journal of e-Learning, 2017
The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…
Descriptors: Models, Higher Education, Geographic Information Systems, Environmental Education
Hamblin, David J.; Phoenix, David A. – Journal of Higher Education Policy and Management, 2012
There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…
Descriptors: Higher Education, Educational Technology, Stakeholders, Quality Assurance
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Nandeshwar, Ashutosh R. – ProQuest LLC, 2010
In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…
Descriptors: Higher Education, Institutional Research, Graduation Rate, Program Effectiveness
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

Seaman, A. Frederick, Jr. – College and University, 1979
Information systems are becoming more than computer systems, with new equipment and techniques combining with data processing to form a new field called information technology. The emerging discipline of systems engineering is discussed along with nine systems engineering techniques. An organization chart of an information services department is…
Descriptors: Accountability, Computers, Data Processing, Data Processing Occupations
Lowry, Christina; Little, Robert – CAUSE/EFFECT, 1985
The benefits of prototyping as a basis for system design include better specifications, earlier discovery of omissions and extensions, and the likelihood of salvaging much of the effort expended on the prototype. Risks and methods of prototyping during rapid systems development are also noted. (Author/MLW)
Descriptors: Data Processing, Databases, Higher Education, Information Systems
Calbos, Dennis P. – CAUSE/EFFECT, 1984
The evolution of administrative data processing systems at the University of Georgia is summarized. Nolan's revised stage model was used as a framework to present the university's experience and relate it to the growing body of system implementation research. (Author/MLW)
Descriptors: Benchmarking, College Administration, Data Processing, Higher Education
Sapp, Mary M.; Temares, M. Lewis – CAUSE/EFFECT, 1985
Microcomputer-based decision support systems were the backbone for the development of the University of Miami's five-year strategic plan. The ways that computer-generated data and graphs were used in the development of the university's strategic plan is described. (Author/MLW)
Descriptors: College Planning, Data Processing, Decision Support Systems, Futures (of Society)
Davis, Kathi Hogshead – CAUSE/EFFECT, 1983
The entity-relationship (ER) approach to database design is defined, and a specific example of an ER model (personnel-payroll) is examined. The requirements for converting ER models into specific database management systems are discussed. (Author/MSE)
Descriptors: Data Processing, Databases, Higher Education, Management Information Systems
Roberts, Stephen S. – CAUSE/EFFECT, 1979
A project management system for organizing requests from multiple departments and controlling the workload of the development/maintenance computer staff is described. Practical solutions to deciding project priorities, determining time estimates, creating positive peer pressure among programing staff, and formalizing information requests are…
Descriptors: Administrative Organization, Computers, Data Processing, Higher Education
Mathezer, Gordon – CAUSE/EFFECT, 1985
The development and implementation of an institutional framework to guide the management and use of information technologies (computing, office automation, and telecommunications) at Mount Royal College in Calgary, Alberta, are described. (Author/MLW)
Descriptors: College Administration, Computers, Data Processing, Decision Making
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