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Haim, Aaron; Gyurcsan, Robert; Baxter, Chris; Shaw, Stacy T.; Heffernan, Neil T. – International Educational Data Mining Society, 2023
Despite increased efforts to assess the adoption rates of open science and robustness of reproducibility in sub-disciplines of education technology, there is a lack of understanding of why some research is not reproducible. Prior work has taken the first step toward assessing reproducibility of research, but has assumed certain constraints which…
Descriptors: Conferences (Gatherings), Educational Research, Replication (Evaluation), Access to Information
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Cohausz, Lea; Tschalzev, Andrej; Bartelt, Christian; Stuckenschmidt, Heiner – International Educational Data Mining Society, 2023
Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…
Descriptors: Information Retrieval, Data Processing, Pattern Recognition, Information Technology
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Stapel, Martin; Zheng, Zhilin; Pinkwart, Niels – International Educational Data Mining Society, 2016
The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…
Descriptors: Teaching Methods, Academic Achievement, Electronic Learning, Mathematics Instruction
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
Anderson-Selander, Sandy E. – 1979
A syntax methodology provides a descriptive mechanism to enable machine readable storage and retrieval of numeric data contained in bibliographic documents. The body of this paper treats the nature of "the syntax,""the data element," and the language by which this syntax is expressed. A discussion of the methodology illustrates…
Descriptors: Data Processing, Databases, Information Retrieval, Information Storage
Kantor, Paul B.; Ng, Kwong Bor – Proceedings of the ASIS Annual Meeting, 1998
Categorizes different theoretical justifications of data fusion into two approaches, examines their implications, analyzes some unsuccessful data fusion experiments, and proposes two conditions for effective data fusion. Results indicate that the efficacy and inter-scheme dissimilarity are good predictors for effectiveness of data fusion.…
Descriptors: Data Processing, Evaluation Criteria, Information Processing, Information Retrieval
Yu, Clement; Sharma, Prasoon; Meng, Weiyi; Qin, Yan – 2001
This paper considers the processing of digital library queries, consisting of a text component and a structured component in distributed environments. The paper concentrates on the processing of the structured component of a distributed query. A method is proposed to identify the databases that are likely to be useful for processing any given…
Descriptors: Data Processing, Databases, Electronic Libraries, Information Processing
Sands, William A. – 1978
The Computer Assisted Reference Locator (CARL) is a computer-based information retrieval system which uses coordinate indexing. Objectives established in designing the system are: (1) simplicity of reference query and retrieval; (2) ease of system maintenance; and (3) adaptability for alternative computer systems. The source documents input into…
Descriptors: Cataloging, Citations (References), Computer Programs, Data Processing
Bearley, William L. – 1979
The future of information resources management requires new approaches to implementing systems which will include a type of data base management that frees users to solve data processing problems logically by telling the system what they want, together with powerful non-procedural languages that will permit communication in simple, concise…
Descriptors: Data Processing, Databases, Information Retrieval, Language Processing
Lawrence, Barbara – 1978
The use of computers in retrieving bibliographic chemical information is traced through the SDI, batch, and online modes, and related changes are noted in such areas as data base availability, cost, software, and amount of user control. The impact of these changes on both the quality and quantity of chemical information use is discussed, as well…
Descriptors: Chemical Industry, Data Processing, Databases, Information Retrieval
Levine, Gwen R. – 1980
User perception of data importance and the economic feasibility of hardware and storage devices will determine the future direction of online systems. A retrieval system's functions are ultimately dictated by database design. Early online sytems were designed for bibliographic information limited to citations only using sequential files. When…
Descriptors: Computer Science, Data Processing, Databases, Information Needs
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Armstrong, Thomas F.; Fennell, Janice C. – RQ, 1982
Describes project initiated at Georgia College to provide access to the information in small-town newspapers by developing an index-abstract for the Milledgeville, Georgia, "Southern Recorder" and its successors (1820-present). The nature of the index project, subject terms, funding, and the use of computers are discussed. Seven…
Descriptors: Data Processing, Grants, Indexes, Indexing
McFadden, Fred R. – 1990
The trend to distributed processing is being fueled by numerous forces, including advances in technology, corporate downsizing, increasing user sophistication, and acquisitions and mergers. Increasingly, the trend in corporate information systems (IS) departments is toward sharing resources over a network of multiple types of processors, operating…
Descriptors: Computer Networks, Computer Software Development, Data Processing, Database Management Systems
Rauber, Andreas; Muller-Kogler, Alexander – 2001
With the number and types of documents in digital library systems increasing, tools for automatically organizing and presenting the content have to be found. While many approaches focus on topic-based organization and structuring, hardly any system incorporates automatic structural analysis and representation. Yet, genre information…
Descriptors: Content Analysis, Data Processing, Electronic Libraries, Information Retrieval
Jones, Steve; Paynter, Gordon W. – 2001
This paper describes an evaluation of the Kea automatic keyphrase extraction algorithm. Tools that automatically identify keyphrases are desirable because document keyphrases have numerous applications in digital library systems, but are costly and time consuming to manually assign. Keyphrase extraction algorithms are usually evaluated by…
Descriptors: Computer Interfaces, Data Processing, Electronic Libraries, Information Retrieval
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