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Download full textRafferty, 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
Peer reviewedGehlbach, Stephen H. – Journal of Medical Education, 1979
Collecting patient morbidity information in academic ambulatory practice is useful for research, practice management, and evaluation and planning of educational programs. Three methods of morbidity data collection were compared to determine which was most accurate. (Author/MLW)
Descriptors: Clinical Diagnosis, Comparative Analysis, Computers, Data Collection
Sprecher, Penny L.; Deasy, Patrick J. – Journal of College Student Personnel, 1982
Describes the development of a data acquisition system to interpret clientele data at a college counseling center. Describes reports generated by the system. Discusses benefits of the system including time efficiency, detection of changing trends and data availability. (RC)
Descriptors: Accountability, Computer Oriented Programs, Counseling Services, Data Collection
Western Interstate Commission for Higher Education, Boulder, CO. National Center for Higher Education Management Systems. – 1975
The Information Exchange Procedures (IEP) developed by the National Center for Higher Education Management Systems (NCHEMS) are a set of standard definitions and procedures for collecting information about disciplines and student degree programs, outcomes of instructional programs, and general institutional characteristics. These definitions and…
Descriptors: Academic Ability, Costs, Data Processing, Delivery Systems
