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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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Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay – Education and Information Technologies, 2017
Currently the challenges in e-Learning are converging the learning content from various sources and managing them within e-learning practices. Data mining learning algorithms can be used and the contents can be converged based on the Metadata of the objects. Ensemble methods use multiple learning algorithms and it can be used to converge the…
Descriptors: Electronic Learning, Metadata, Computer System Design, Design Preferences
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Schwendimann, Beat A.; Rodriguez-Triana, Maria Jesus; Vozniuk, Andrii; Prieto, Luis P.; Boroujeni, Mina Shirvani; Holzer, Adrian; Gillet, Denis; Dillenbourg, Pierre – IEEE Transactions on Learning Technologies, 2017
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…
Descriptors: Literature Reviews, Educational Research, Data Analysis, Data Processing
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Nishimoto, Hideki; Ura, Shoji – Information Processing and Management, 1989
Describes an interface mechanism called "complex view support" to be used with a relational database system (RDBS) in supporting increasingly complex distributed environments in automated library systems. The interface system refers queries to multidimensional tables as well as to flat tables on RDBS and is shown to efficiently support…
Descriptors: Data Processing, Database Management Systems, Information Retrieval, Library Automation
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Jackowski, Edward M. – Journal of Research on Computing in Education, 1988
Discusses the role that information resource management (IRM) plays in educational program-oriented budgeting (POB), and presents a theoretical IRM model. Highlights include design considerations for integrated data systems; database management systems (DBMS); and how POB data can be integrated to enhance its value and use within an educational…
Descriptors: Computer System Design, Data Processing, Database Management Systems, Educational Finance
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Berka, Petr; Jirku, Petr – Environmental Monitoring and Assessment, 1995
Examines the possibility of using expert system tools for environmental data management. Describes the domain-independent expert system shell SAK and Knowledge EXplorer, a system that learns rules from data. Demonstrates the functionality of Knowledge EXplorer on an example of water quality evaluation. (LZ)
Descriptors: Case Studies, Data Processing, Database Design, Database Management Systems
Mandeville, Garrett K. – 1988
This paper describes and evaluates a computerized system, MATCH, which is being used in South Carolina to match or link student records from year to year. The functioning of MATCH and its specific features are described, and its use in matching student test scores is detailed. The problem of mismatched records and the use of visual editing to…
Descriptors: Algorithms, Computer Oriented Programs, Computer Software, Data Analysis
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Chen, L. T.; And Others – Information Systems, 1995
This paper addresses the problem of data management techniques for efficiently retrieving requested subsets of large data sets from mass storage devices. Describes the development of algorithms and software that facilitate the partitioning of a large data set into multiple "clusters" that reflect their expected access. (Author/JKP)
Descriptors: Algorithms, Computer Software Development, Data Processing, Database Management Systems
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Riccobono, John; Henderson, Louise B.; Burkheimer, Graham J.; Place, Carol; Levinsohn, Jay R. – National Center for Education Statistics, 1981
The National Longitudinal Study (NLS) of the High School Class of 1972 is a large-scale long-term survey effort supported by the National Center for Education Statistics (NCES), Office of the Assistant Secretary for Educational Research and Improvement in the U.S. Department of Education. NLS is designed to provide statistics on a national sample…
Descriptors: Longitudinal Studies, National Surveys, Followup Studies, High School Graduates
Milwaukee Area Technical Coll., WI. – 1988
This report and research analysis relate to the Milwaukee Area Technical College Research Project, a study undertaken to determine a curriculum to meet the information processing/management training needs of individuals entering or continuing careers in the information marketing and business data processing occupational clusters. The report of…
Descriptors: Business Education, Community Colleges, Computer Oriented Programs, Computer Science Education