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DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
Sirinides, Philip; Fink, Ryan – Regional Educational Laboratory Mid-Atlantic, 2014
Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…
Descriptors: Early Childhood Education, Educational Strategies, Educational Practices, Effective Schools Research
Falquet, Gilles; Guyot, Jacques; Nerima, Luka; Park, Seongbin – 2001
Using the same data, which could come from local databases or external sources, such as the Web, virtual museum designers can build different hyperspaces. It is possible that visitors would find some of them more useful than others. Virtual museums designers should be equipped with a tool by which various hyperspaces for virtual museums can be…
Descriptors: Authoring Aids (Programming), Data Analysis, Database Design, Design Preferences

Crall, James J. – Journal of Dental Education, 1991
The paper addresses the potential of informatics to patient care quality assurance curricula, focusing on (1) terminology and developments related to quality of care evaluations; (2) criticisms of traditional approaches; (3) limitations of existing data sources for quality assurance in dentistry; and (4) quality assurance considerations in…
Descriptors: Automation, Data Analysis, Database Design, Databases
Hopper, Lisa King – 1992
This conference paper presents a description of how faculty workloads are assessed for fiscal and other purposes at Northern Arizona University (NAU). Following a discussion of workload issues, the paper examines: (1) definition of workload; (2) methodology for data collection; (3) development of a faculty full-time equivalency database and two…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Database Design