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Yin, Chengjiu; Hirokawa, Sachio; Yau, Jane Yin-Kim; Hashimoto, Kiyota; Tabata, Yoshiyuki; Nakatoh, Tetsuya – International Journal of Distance Education Technologies, 2013
To help researchers in building a knowledge foundation of their research fields which could be a time-consuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers,…
Descriptors: Search Engines, Online Searching, Surveys, Research
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
Baker, Ryan S. J. D.; Yacef, Kalina – Journal of Educational Data Mining, 2009
We review the history and current trends in the field of Educational Data Mining (EDM). We consider the methodological profile of research in the early years of EDM, compared to in 2008 and 2009, and discuss trends and shifts in the research conducted by this community. In particular, we discuss the increased emphasis on prediction, the emergence…
Descriptors: Trend Analysis, Educational History, Educational Research, Research Methodology
Gentile, Annamaria – Rassegna Italiana di Linguistica Applicata, 1991
Trends in mechanical translation are reviewed briefly, and difficulties in selecting appropriate equivalencies are cited. Decisions dependent upon real world knowledge rather than dictionary equivalents and grammar are illustrated. (15 references) (LB)
Descriptors: Artificial Intelligence, Computer Software, Contrastive Linguistics, Data Processing
Russell, Robert E. – CAUSE/EFFECT, 1982
In a 1981 national survey, nearly 80 percent of the surveyed institutions reported they were either already using or were planning to use computer-based administrative information systems. This survey is discussed and institutional predictors of the impact of information systems are analyzed. (MLW)
Descriptors: College Administration, Data Processing, Decision Making, Higher Education

Government Information Quarterly, 1987
Six articles discuss the 1987 Economic Censuses: a historical review by Bohme; Worden on the value of economic censuses; Wikoff and Powell-Hill on planning the questionnaire; Blum, Bowman, and Sullivan on changing data needs; Zeisset on the data's availability to users; and Schlueter, Ray, and Hartz on international economic statistics. (EM)
Descriptors: Access to Information, Business, Census Figures, Change
Groff, Warren H. – CAUSE/EFFECT, 1981
Strategic decision-making as a part of the higher education planning process is becoming more dependent upon data elements external to the institution. The context in which postsecondary education takes place, the maturation of the planning function, and the challenge to management systems for postsecondary education are discussed. (Author/MLW)
Descriptors: Career Education, College Administration, Data Processing, Decision Making
Flanagan, Patrick – Telecommunications, 1996
Synthesizes opinions of experts regarding technologies deemed most likely to enter the telecommunications mainstream by 1998, including: (1) the Java programming language; (2) voice- over frame relay; (3) virtual local area networks (LANs); (4) cable modems; (5) gigabit LANs; (6) Internet appliances; (7) personal satellite phones; (8) intranets;…
Descriptors: Communications Satellites, Computer Networks, Computer Peripherals, Data Processing

Seppanen, Loretta J. – New Directions for Institutional Research, 1995
College and university institutional researchers can use unemployment insurance wage and related files to describe and compare students' workplace status before, during, and after enrollment. However, some issues must be addressed, including data delays, uncovered employment and other work status, confidentiality of records, information…
Descriptors: College Administration, College Students, Computer Uses in Education, Confidential Records