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Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Waters, John K. – Campus Technology, 2013
The latest data alert: By 2020, the amount of data generated daily will reach 40 zettabytes, or roughly 5,247 gigabytes for every person on earth. That's one of the findings in a new report published by IT industry analysts at IDC. The study casts doubt on the ability to capture the value of all this data, especially since schools barely tapped…
Descriptors: Information Management, Data, Data Collection, Data Processing
Welker, Josh – Computers in Libraries, 2012
Any librarian who has managed electronic resources has experienced the--for want of words--"joy" of gathering and analyzing usage statistics. Such statistics are important for evaluating the effectiveness of resources and for making important budgeting decisions. Unfortunately, the data are usually tedious to collect, inconsistently organized, of…
Descriptors: Library Services, Databases, Academic Libraries, Electronic Libraries
van Dyk, Liezl; Conradie, Pieter – Campus-Wide Information Systems, 2007
Purpose: This article seeks to address the interface between individual learning facilitators that use course management systems (CMS) data to support decision-making and course design and institutional infrastructure providers that are responsible for institutional business intelligence. Design/methodology/approach: The design of a data warehouse…
Descriptors: Management Systems, Action Research, Researchers, Knowledge Management
Carr, Clay; Totzke, Larry – Performance and Instruction, 1995
Discusses two tools necessary for the successful practice of human performance technology: gathering data and interpreting data. The focus is on what data to gather, how to gather it, and how to interpret the data. (Author/JKP)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Human Factors Engineering
Askren, William B.; Regulinski, Thaddeus L. – 1971
Human performance reliability for tasks in the time-space continuous domain is defined and a general mathematical model presented. The human performance measurement terms time-to-error and time-to-error-correction are defined. The model and measurement terms are tested using laboratory vigilance and manual control tasks. Error and error-correction…
Descriptors: Data Collection, Human Factors Engineering, Man Machine Systems, Mathematical Models
Gray, Peter J. – 1984
This paper deals with two questions: (1) what are the the applications that might be made of microcomputers in evaluation? and (2) what are the kinds of problems (personnel, organizational, and technical) that must be overcome if microcomputers are to be used effectively? The applications include proposals and planning, management, data…
Descriptors: Computer Software, Data Analysis, Data Collection, Evaluation Methods
Askren, William B.; And Others – 1969
Available methods for collecting human factors data rely heavily on observations, interviews, and questionnaires. A need exists for other methods. The feasibility of using two-way voice-radio for this purpose was studied. The data collection methodology consisted of a human factors analyst talking from a radio base station with technicians wearing…
Descriptors: Analysis of Variance, Comparative Analysis, Data Collection, Human Factors Engineering
Terrell, William R.; And Others – Educational Technology, 1992
Explains human interactive analysis as an architecture for using computer interactive technologies in the analysis of complex work environments. A project at the Naval Training Systems Center that used video-audio data to develop a multimedia database is described; the analysis and management of data are discussed; and decision processes are…
Descriptors: Algorithms, Computer Assisted Instruction, Courseware, Data Analysis