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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, Min; Pan, Zilong; Li, Chenglu; Han, Songhee; Shi, Yi; Pan, Xin – International Journal on E-Learning, 2021
There has been an increasing interest in learning analytics (LA) research especially in higher education (HE) in recent years. In this study, we conducted a systematic focused review of research, from 2016 to present, on using analytics in HE (specifically system- or user-generated data) to understand in what way such analytics has been…
Descriptors: Learning Analytics, Educational Research, Higher Education, Data Collection

Smith, Ralph Lee – Planning for Higher Education, 1979
The "communications revolution" and its impact on education is discussed, and definitions of services are provided. Educational applications of communication (the combination of computers and communications) are described and roles for colleges and universities in expanding data communications use are suggested. (BH)
Descriptors: Computer Science, Computers, Data Processing, Definitions

Duke, John K.; Hirshon, Arnold – Information Technology and Libraries, 1986
Examines the need for medium to large academic libraries to have a policy for staff use of microcomputers. Key issues that should be covered in such a policy are outlined, including rules for acquisition and use, compatibility of hardware and software, and data administration. A model policy is provided. (CDD)
Descriptors: Academic Libraries, Computer Software, Data Processing, Equipment Maintenance

Ephraim, Philip E. – Electronic Library, 1994
Argues that a mix of quantitative and qualitative measures is most efficacious in library collection analysis. Cases drawn from the literature in which a combination of these measures was profitably applied are considered, and the types of software packages for purposes of data manipulation are discussed. (Contains 15 references.) (KRN)
Descriptors: Academic Libraries, Computer Software, Data Processing, Evaluation Methods

Simon, H.-R. – Education for Information, 1987
Explores the relationship between technological change in the library and information field, courses of study offered by universities, and courses requested by students for continuing education in West Germany. The three main subject areas emphasized are electronic data processing, online use, and new media. (LRW)
Descriptors: Data Processing, Developed Nations, Educational Needs, Foreign Countries
Beckman, Margaret; And Others – 1973
This report is a revision and expansion of an earlier research report that described the design of the University of Guelph's documentation system for the organization of government publications within university libraries. The design of the Guelph document system represents a deliberate departure from cataloging and classification theory and…
Descriptors: Academic Libraries, Cataloging, Classification, Computer Storage Devices