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Novak, Elena; Daday, Jerry; McDaniel, Kerrie – Educational Technology Research and Development, 2018
This empirical study used Keller's (Technol Instr Cogn Learn 16:79-104, 2008b) motivation, volition, and performance (MVP) theory to develop and statistically evaluate a mathematical MVP model that can serve as a research and policy tool for evaluating students' learning experiences in digital environments. Specifically, it explored undergraduate…
Descriptors: Mathematical Models, Learning Motivation, Electronic Learning, Learning Experience
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Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education
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Wu, Changxu; Liu, Yili – Psychological Review, 2008
The psychological refractory period (PRP) is a basic but important form of dual-task information processing. Existing serial or parallel processing models of PRP have successfully accounted for a variety of PRP phenomena; however, each also encounters at least 1 experimental counterexample to its predictions or modeling mechanisms. This article…
Descriptors: Mathematical Models, Psychology, Cognitive Processes, Information Processing
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Hermens, Frouke; Luksys, Gediminas; Gerstner, Wulfram; Herzog, Michael H.; Ernst, Udo – Psychological Review, 2008
Visual backward masking is a versatile tool for understanding principles and limitations of visual information processing in the human brain. However, the mechanisms underlying masking are still poorly understood. In the current contribution, the authors show that a structurally simple mathematical model can explain many spatial and temporal…
Descriptors: Mathematical Models, Visual Perception, Brain, Information Processing
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Colby, Latha S.; And Others – Information Processing and Management, 1994
Presents the list-structure data model for dealing with sets of objects, which has ordering as its fundamental principle. An extended notion of patterns and several operators of the algebra are presented. Design issues that influenced the development of the language are described. (Contains 30 references.) (KRN)
Descriptors: Algebra, Databases, Information Processing, Information Retrieval
Adi, Tom; Ewell, O. K. – Proceedings of the ASIS Annual Meeting, 1991
Discusses language comprehension and describes a technology for computer-aided text analysis called READWARE and software from the READWARE family called the Research Assistant that measures the relatedness of words or phrases by examining their letters. The theory of Letter Semantics is explained, and paradigms for text processing in information…
Descriptors: Computer Software, Information Processing, Information Theory, Language Processing
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Kampfner, Roberto R. – Information Processing and Management, 1985
Presents a formal model for specification of logical requirements of computer-based information systems that incorporates structural and dynamic aspects based on two separate models: the Logical Information Processing Structure and the Logical Information Processing Network. The model's role in systems development is discussed. (MBR)
Descriptors: Computer Software, Design Requirements, Information Needs, Information Processing
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Mazur, Zygmunt – Information Processing and Management, 1979
Examines through a series of mathematical models (theorems, descriptions, and examples), properties and operations on inverted files, which are used in an information retrieval system based on thesaurus with weighted descriptors. (CWM)
Descriptors: Algorithms, Indexes, Information Processing, Information Retrieval
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Thow-Yick, Liang – Information Processing and Management, 1994
Identifies a set of objects that is genuinely indigenous to management information systems and constructs a simple model based on them. The model's four basic entities, which define the scope of information theory, are data, information, knowledge, and wisdom. (Contains 46 references.) (KRN)
Descriptors: Concept Formation, Data, Information Processing, Information Science
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Waller, W. G.; Kraft, Donald H. – Information Processing and Management, 1979
Analyzes the use of weights to denote a query representation and/or the indexing of a document as a generalization of a Boolean retrieval system. Criteria are given for the functions used to evaluate the relevance of the records to a specific query and a new evaluation approach is suggested. (CWM)
Descriptors: Algorithms, Evaluation Criteria, Information Processing, Information Retrieval
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Radecki, Tadeusz – Information Processing and Management, 1979
Presents a new method of document retrieval based on the fundamental operations of fuzzy set theory. Basic notions are introduced. Then the syntax and semantics of the proposed language for document retrieval is given, and an algorithm allocating documents to particular queries is described and its properties are discussed. (Author/CWM)
Descriptors: Algorithms, Information Processing, Information Retrieval, Information Storage
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Blair, David C. – Information Processing and Management, 1988
Presents a relational logical model to support a sophisticated document retrieval system in which flexible forms of inferential and associative searching can be performed, and provides examples of ad hoc inquiries. Several problems of particular importance to document retrieval are discussed in terms of this model. (27 references) (Author/CLB)
Descriptors: Database Management Systems, Information Processing, Information Retrieval, Mathematical Models
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Rouse, Sandra H.; Rouse, William B. – Information Processing and Management, 1979
Discusses the design of a model-based management information system in terms of mathematical/statistical, information processing, and human factors issues and presents a prototype system for interlibrary loan networks. (Author/CWM)
Descriptors: Data Collection, Databases, Human Resources, Information Processing