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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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Michelle L. Stransky; Laneva Cobb; Nina Menon; Emily Barnard; Cynthia Belfleur; Lawrence Scahill; Jocelyn Kuhn – Journal of Autism and Developmental Disorders, 2025
The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource.…
Descriptors: Behavior Rating Scales, Adjustment (to Environment), Diagnostic Tests, Observation
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Verma, Anil; Singh, Aman; Lughofer, Edwin; Cheng, Xiaochun; Abualsaud, Khalid – Journal of Computing in Higher Education, 2021
Sustainable quality education is a big challenge even for the developed countries. In response to this, education 4.0 is gradually expanding as a new era of education. This work intends to unfold some hidden parameters that are affecting the quality education ecosystem (QEE). Academic loafing, unawareness, non-participation, dissatisfaction, and…
Descriptors: Educational Quality, Ecology, Sustainability, Higher Education
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Jones, Kyle M. L.; Salo, Dorothea – College & Research Libraries, 2018
In this paper, the authors address learning analytics and the ways academic libraries are beginning to participate in wider institutional learning analytics initiatives. Since there are moral issues associated with learning analytics, the authors consider how data mining practices run counter to ethical principles in the American Library…
Descriptors: Academic Libraries, Ethics, Intellectual Freedom, Privacy
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Zhao, Jensen; Zhao, Sherry Y. – Journal of Education for Business, 2016
E-business, e-education, e-government, social media, and mobile services generate and capture trillions of bytes of data every second about customers, suppliers, employees, and other types of data. The growing quantity of big data is an important part of every sector in the global economy. However, there is a significant shortage of business data…
Descriptors: Business Administration Education, Business Schools, Data Analysis, Data Processing
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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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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
Data Quality Campaign, 2014
District and state data systems are constructed to ensure that individuals can access only the data that are appropriate for their role. Still, questions from the public about how these data systems work and how student privacy is protected have been increasing. A recurring concern is the feared existence of a "permanent record"--a…
Descriptors: Data Collection, Student Records, Data Processing, Access to Information
Laney, Christine Marie – ProQuest LLC, 2013
Ecosystem health is deteriorating in many parts of the world due to direct and indirect anthropogenic pressures. Generating accurate, useful, and impactful models of past, current, and future states of ecosystem structure and function is a complex endeavor that often requires vast amounts of data from multiple sources and knowledge from…
Descriptors: Ecology, Information Management, Data Collection, Automation
Martha, VenkataSwamy – ProQuest LLC, 2013
Networks, such as social networks, are a universal solution for modeling complex problems in real time, especially in the Big Data community. While previous studies have attempted to enhance network processing algorithms, none have paved a path for the development of a persistent storage system. The proposed solution, GraphStore, provides an…
Descriptors: Networks, Information Storage, Graphs, Statistical Data
Sabourin, Jennifer; Kosturko, Lucy; FitzGerald, Clare; McQuiggan, Scott – International Educational Data Mining Society, 2015
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…
Descriptors: Privacy, Student Records, Data Processing, Data Collection
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
Luterbach, Kenneth J. – Educational Technology, 2013
Educational technologists may advance the state of the field by increasing capacity to develop software tools and instructional applications. Presently, few academic programs in educational technology require even a single computer programming course. Further, the educational technologists who develop software generally work independently or in…
Descriptors: Computer Software, Educational Technology, Programming, Capacity Building
Waters, John K. – Campus Technology, 2012
In the case of higher education, the hills are more like mountains of data that "we're accumulating at a ferocious rate," according to Gerry McCartney, CIO of Purdue University (Indiana). "Every higher education institution has this data, but it just sits there like gold in the ground," complains McCartney. Big Data and the new tools people are…
Descriptors: Higher Education, Educational Change, Data, Data Processing
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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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