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Winkler, Bea; Kiszl, Péter – New Review of Academic Librarianship, 2022
Artificial intelligence (AI) is a defining technology of the 21st century, creating new opportunities for academic libraries. The goal of this paper is to provide a much-needed analysis, interpreted in an international context, on what the leaders of academic libraries in East-Central Europe, and specifically in Hungary, think about AI and its…
Descriptors: Foreign Countries, Academic Libraries, Administrators, Artificial Intelligence
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Christine Ladwig; Taylor Webber; Dana Schwieger – Information Systems Education Journal, 2023
Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…
Descriptors: Rural Areas, Health Services, Data Analysis, Learning Activities
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Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
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Snyder, Johnny – Information Systems Education Journal, 2019
Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…
Descriptors: Data Analysis, Error Patterns, Data Collection, Spreadsheets
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Conrad, Colin; Bliemel, Michael; Ali-Hassan, Hossam – Journal of Information Systems Education, 2019
The expansion of technical concepts into everyday business practices suggests a need for effectively teaching difficult subjects to non-technical users. This paper describes hands-on analogy, an innovative method for teaching technically difficult concepts using interactive, experiential learning activities and a gamified exercise. We demonstrate…
Descriptors: Experiential Learning, Business Administration Education, Data Processing, Logical Thinking
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Pouchard, Line; Bracke, Marianne Stowell – Issues in Science and Technology Librarianship, 2016
This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…
Descriptors: Agricultural Education, Case Studies, Data Processing, Data
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Wiley, Christie; Mischo, William H. – Issues in Science and Technology Librarianship, 2016
This article analyzes 21 in-depth interviews of engineering and atmospheric science faculty at the University of Illinois Urbana-Champaign (UIUC) to determine faculty data management practices and needs within the context of their research activities. A detailed literature review of previous large-scale and institutional surveys and interviews…
Descriptors: Data Processing, College Faculty, Scientists, Engineering Education
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Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design
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Woods, Lawrence A. – Journal of Library Automation, 1981
Provides a prescriptive checklist describing necessary or desirable features for a typical application for use in choosing among 150 available data cassette recorders as an effective low-cost method for collecting data in machine-readable form from display terminals. Included are environmental considerations and purchasing information. (RAA)
Descriptors: Check Lists, Data Processing, Evaluation Criteria, Input Output Devices
Kazanjian, Ed – School Business Affairs, 1987
A survey of nearly 400 members at an annual meeting of the Association of School Business Officials revealed that 228 (60 percent) used microcomputers for central office administrative purposes. Word processing, spreadsheet, and data management programs led the list of major applications. (MLF)
Descriptors: Data Processing, Elementary Secondary Education, Equipment Utilization, Microcomputers
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Rushinek, Avi; And Others – AEDS Journal, 1982
Describes the methodology and procedures, as well as the findings of an investigation of the relationship between the use of computer-assisted instruction and students' attitudes toward the instructor and the course in the teaching of undergraduate business data processing. An 11-item bibliography and a copy of the survey are included. (JL)
Descriptors: Business, Comparative Analysis, Computer Assisted Instruction, Course Evaluation