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Frank Lee; Alex Algarra – Information Systems Education Journal, 2024
Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…
Descriptors: Visual Aids, Data Use, Data Collection, Naming
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Hemy Ramiel; Eran Fisher – Learning, Media and Technology, 2024
This paper adds an algorithmic epistemology perspective to previous works that examine the datafication of subjective social and emotional characteristics, perceptions, and behaviours. The paper employs a comparative epistemological approach to explore two behavioural educational platforms: RedCritter Teacher and Panorama Education. We unpack…
Descriptors: Epistemology, Social Emotional Learning, Data, Higher Education
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Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
Guenther, Kim – Computers in Libraries, 2000
Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW)
Descriptors: Data Collection, Data Interpretation, Data Processing, Database Management Systems
Wayne County Community Coll., Detroit, MI. – 1977
This pamphlet represents the third in a six-part series describing the Management Organization Systems Technique (MOST), developed at Wayne County Community College, whose purpose is to determine the goals and objectives of a college and to assist in their attainment and evaluation. The information sub-system is designed to collect, process and…
Descriptors: College Administration, Data Collection, Data Processing, Decision Making
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Hourigan, Clare – Journal of Institutional Research, 2011
Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…
Descriptors: Decision Making, Admission Criteria, Program Improvement, Data Analysis
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Chapman, David W.; Boothroyd, Roger A. – Comparative Education Review, 1988
Contends that, in developing countries, attention must be paid to the quality of data going into computer-based information management systems; otherwise implementation of the system may provide only a deceptively systematic procedure for making random decisions. Examines errors, assumptions, inabilities, and omissions that threaten data quality…
Descriptors: Data Collection, Data Processing, Database Management Systems, Developing Nations
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Gordillo, Frank – 1972
A computer program designed to produce summary information on the data processing volume of the Southwest Regional Laboratory's (SWRL) Instructional Management System (IMS) is described. Written in FORTRAN IV for use on an IBM 360 Model 91, the program sorts IMS input data on the basis of run identifier and on the basis of classroom identification…
Descriptors: Computer Programs, Criterion Referenced Tests, Data Collection, Data Processing
Etnyre, Vance A. – 1970
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…
Descriptors: Data Collection, Data Processing, Information Needs, Information Systems
Gose, Frank J. – 1989
The accuracy and reliability aspects of data integrity are discussed, with an emphasis on the need for consistency in responsibility and authority. A variety of ways in which data integrity can be compromised are discussed. The following sources of data corruption are described, and the ease or difficulty of identification and suggested actions…
Descriptors: Administrative Problems, Data, Data Collection, Data Processing
Wirt, Edgar – Coll Univ, 1969
Adapted from presentation of Unit I of the MODS Seminar, the National pilot program of AACRAO, Fort Collins, Colorado, April 1967. (AD)
Descriptors: Data Collection, Data Processing, Higher Education, Information Retrieval
Saginaw Public Schools, MI. Dept. of Evaluation, Testing, and Research. – 1996
This publication describes an evaluation design developed to assess school-to-work (STW) efforts throughout the Saginaw Valley STW Partnership area in Michigan. An introduction is followed by an overview of the aim of evaluation. Section 3 describes how the variables pertinent to the evaluation of the STW program initiative were identified,…
Descriptors: Data Analysis, Data Collection, Data Processing, Database Management Systems
Chiang, Eleanor Yin – 1986
This report describes the development in 1986 of a management information system by the Sacramento City (California) Unified School District for use in high schools. A nine-page attachment, which comprises two-thirds of the report, offers profiles of selected schools drawn from the databases. Data sets of 200 information items, collected from all…
Descriptors: Computer Oriented Programs, Data Collection, Data Processing, Database Management Systems
Kornfield, Leo – College and University Business, 1971
Three university case studies - the University of Utah, Ohio State University and the University of Illinois - show varying levels of sophistication in their application, modification and practical use of management information systems. (Editor)
Descriptors: Control Groups, Costs, Data Collection, Data Processing
McManus, John F. – 1971
Version 3 of the Southwest Regional Laboratory's (SWRL) Instructional Management System (IMS) is a fully automated system which accepts pupil criterion exercises from remote sites and returns various reports to the same location. This paper briefly describes the SWRL/IMS system design and functional characteristics. The instructional system…
Descriptors: Computer Programs, Criterion Referenced Tests, Data Collection, Data Processing
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