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Anagha Vaidya; Sarika Sharma – Interactive Technology and Smart Education, 2024
Purpose: Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation…
Descriptors: Course Evaluation, Learning Analytics, Formative Evaluation, Information Retrieval
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
Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Lu, Kun – ProQuest LLC, 2012
The performance of information retrieval systems varies significantly by test topics. Even for those systems that have performed well on average, the results for some difficult topics are still poor. Previous studies have revealed that different optimization techniques should be used for those difficult topics. However, a prerequisite of the…
Descriptors: Information Retrieval, Information Systems, Difficulty Level, Predictor Variables
El-Bathy, Naser Ibrahim – ProQuest LLC, 2010
The study of this dissertation provides a solution to a very specific problem instance in the area of data mining, data warehousing, and service-oriented architecture in publishing and newspaper industries. The research question focuses on the integration of data mining and data warehousing. The research problem focuses on the development of…
Descriptors: Research Problems, Information Retrieval, Artificial Intelligence, Computer Science
Overs, Robert P.; Trotter, Ann B.
The authors offer some practical guidelines in four areas of rehabilitation research information dissemination: (1) filing and retrieval problems; (2) level and styles of writing, listing, abstracting, summarizing, and reconceptualizing; (3) profiling the average practitioner-consumers; and (4) leveling attitudinal barriers. Filing and retrieval…
Descriptors: Communication Problems, Guidelines, Information Dissemination, Information Retrieval
Peer reviewedBertot, John Carlo; McClure, Charles R.; Moen, William E.; Rubin, Jeffrey – Government Information Quarterly, 1997
One means of Web use evaluation is through analysis of server-generated log files. Various log file analysis techniques and issues are presented that are related to the interpretation of log file data. Study findings indicate a number of problems; recommendations and areas needing further research are outlined. (AEF)
Descriptors: Evaluation Methods, Information Retrieval, Navigation (Information Systems), Online Searching
Scott, Patrick – 1982
There are four problems in modern composition bibliography that result directly from the continuing research paradigm instability in the field. The first problem is that of definition. Composition is a hybrid, practical sort of field, with very ill-defined and shifting boundaries. The recent extension of composition from "formal writing…
Descriptors: Bibliographies, Cataloging, Classification, Indexing
Paisley, William J. – 1968
Researchers make little or no use of formal information systems. This is due, not so much to 'information apathy' on their part, as to faults inherent in information services as a whole. A formal information service may not come through at all. It is not capable of reaching behind a request to the real question that motivated it. By not being able…
Descriptors: Information Retrieval, Information Storage, Information Utilization, Library Services
Peer reviewedGunning, Kathleen – Journal of Academic Librarianship, 1978
Reference librarians with expertise in a subject area and in information retrieval see research problems in terms of the current state of the discipline and provide information using the total array of online and manual library services; they can also identify and participate in the development of needed research tools. (Author/JAB)
Descriptors: Academic Libraries, Information Retrieval, Librarians, Library Services
Peer reviewedHlava, Marjorie M. K.; Knox, Douglas R. – Online Review, 1979
Discusses problem preparation and specification along with search strategies and techniques employed by an information scientist in assisting users of on-line data bases, and briefly reviews ways to save computer time. (CWM)
Descriptors: Databases, Evaluation Methods, Guidelines, Information Retrieval
Peer reviewedHarman, Donna – Information Processing and Management, 1992
Six articles about evaluating information retrieval (IR) systems and methods are briefly described in this introduction to a special issue and some of the major problems that are encountered in evaluating interactive information retrieval are considered. (two references) (LAE)
Descriptors: Evaluation Methods, Experiments, Information Retrieval, Online Searching
Froehlich, Thomas J. – Proceedings of the ASIS Annual Meeting, 1991
Discusses the history of information science and its understanding of and approach to relevance; explains human categorization theory and applies it to the idea of relevance; shows that information science research is flawed because it fails to adequately explain experience; and suggests implications for future research. (17 references) (LRW)
Descriptors: Classification, Information Retrieval, Information Science, Relevance (Information Retrieval)
Peer reviewedBerthon, Pierre; Pitt, Leyland; Prendergast, Gerard – Internet Research, 1997
Although web browser caching speeds up retrieval, reduces network traffic, and decreases the load on servers and browser's computers, an unintended consequence for marketing research is that Web servers undercount hits. This article explores counting problems, caching, proxy servers, trawler software and presents a series of correction factors…
Descriptors: Computer Software, Information Retrieval, Marketing, Models
Peer reviewedPrice, D.; Fitzpaynes, J. Y. L. – Journal of Chemical Documentation, 1973
The establishment of a reference filing system, based on optical coincidence retrieval, for an eight-man research group studying gas reactions is described. The complete system is simple to use and gives rapid, precise reference retrieval. (1 reference) (Author)
Descriptors: Codification, Information Processing, Information Retrieval, Information Storage
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