As a result of increasing complexity of assessing all aspects of human behaviours, a lot of data are generated on individual learner and from teachers and the system. What qualifies as big data in assessment in Nigeria? This research identifies the sources of assessment big data in Nigeria, investigates how the big data are generated and…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

Information systems developed to support university planning must be designed to insure that all planning needs can be met. Only highly flexible, highly integrated information systems can meet current planning requirements. Such systems should be designed in a modular fashion and employ user-oriented languages to select and combine the system…

The System for Program Information in Continuing Education (SPICE), an information system being implemented at The University of Calgary (Alberta, Canada), was designed to facilitate the collection, manipulation, and reporting of evaluative data from continuing education program participants. The objectives of the system include the following: to…

The teaching function is examined to determine an improved budgetary planning and control system as well as comparisons across universities and polytechnics. The inputs, outcomes and processes of the teaching function are identified and defined, with available data collected and measured with reference to those defined variables and parameters.…

At what levels should business data processing be taught and what should be the desired training or career education outcomes at each education level? The levels discussed here are (1) comprehensive secondary school, (2) secondary vocational skills center or technical institute, (3) community or junior college, and (4) college or university. (LRA)

A study, presented to the National Computer Conference, examined the existing methods of training highly competent and knowledgeable computer programers, analysts, and data processors. Four main sources of instruction were identified: (1) private electronic data processing (EDP) schools, (2) colleges, (3) manufacturers' schools, and (4) inhouse…

Addresses, technical papers, and descriptions of institutional administrative data processing (ADP) applications presented at the 1974 College and University Systems Exchange (CAUSE) National Conference are compiled. Topics include (1) operational data systems, (2) management information systems, (3) planning and management systems, (4) new…

Nineteen contributed papers presented at the 1974 College and University Systems Exchange (CAUSE) National Conference are compiled. Topics include specific applications, data base management systems, and management techniques in administrative information systems for higher education. (DGC)

Comprehensive Analytical Methods for Planning in University Systems (CAMPUS) and Computerized Analysis Adapting the Techniques of Simulation to Colleges of Applied Arts and Technology (CAATS)-2 are combined to represent a computer based information and planning system. This system is designed to help the community colleges of Ontario gain the…

The increasing data about institutions of higher education and the availability of this data are described and evaluated. The data bases need further development and coordination of standards, exchange guidelines, and accessing procedures to be most beneficial. (Author/LBH)

Based on the idea that the current framework for organizing electronic data does not take advantage of the mind's ability to make connections among disparate pieces of information, several projects at universities around the country are taking new approaches to classification and storage of vast amounts of computerized data. The new systems take…

A methodology for categorically describing computer-based information systems was developed and applied to six university-based, NSF-supported systems. The systems under study all operate as retail information cneters primarily serving campus communities by accessing large commercially-available data bases using 3rd generation computer…