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Phillips, Heather – Social Studies and the Young Learner, 2009
In an inquiry-based classroom, student interest is at the heart of curriculum planning, instruction, and assessment. Students are responsible for asking questions, using sources effectively to discover answers, and deciding what format would best present their findings. Aside from creating a sense of ownership, inquiry in the classroom engages…
Descriptors: Grade 3, Inquiry, Student Interests, Relevance (Education)
Shih, Wen-Chung; Tseng, Shian-Shyong – Educational Technology & Society, 2009
With the rapid development of wireless communication and sensor technologies, ubiquitous learning has become a promising solution to educational problems. In context-aware ubiquitous learning environments, it is required that learning content is retrieved according to environmental contexts, such as learners' location. Also, a learning content…
Descriptors: Educational Strategies, Information Retrieval, Teaching Methods, Metadata
Liang, Jyh-Chong; Tsai, Chin-Chung – Educational Technology & Society, 2009
The purpose of this study was to investigate medical students' information commitments toward online web medical information. The sample consisted of 534 volunteer medical university students with internet experience from 6 medical universities in Taiwan. This study used the Information Commitment Survey (ICS) for an investigation of medical…
Descriptors: Medical Students, Search Strategies, Foreign Countries, Internet
Lallie, Harjinder Singh; Lawson, Phillip; Day, David J. – Journal of Information Technology Education: Innovations in Practice, 2011
Identifying academic misdemeanours and actual applied effort in student assessments involving practical work can be problematic. For instance, it can be difficult to assess the actual effort that a student applied, the sequence and method applied, and whether there was any form of collusion or collaboration. In this paper we propose a system of…
Descriptors: Foreign Countries, Evidence, Computer Software, Academic Achievement

Robertson, S. E.; Teather, D. – Journal of Documentation, 1974
A model is proposed to explain the retrieval characteristics of an information retrieval system. (Author)
Descriptors: Bayesian Statistics, Information Retrieval, Information Systems, Mathematical Models

Cleverdon, C. W. – Journal of Documentation, 1974
Proposes a system of evaluating information retrieval systems. (PF)
Descriptors: Cost Effectiveness, Evaluation Methods, Information Retrieval, Relevance (Information Retrieval)

Fokker, Dirk W.; Lynch, Michael F. – Journal of Library Automation, 1974
Descriptors: Authors, Citations (References), Databases, Information Retrieval

Robertson, Stephen E. – Journal of the American Society for Information Science, 1975
Explores the properties of independent variables in information retrieval systems and defines a class of basic variables named M-factors. (Author/PF)
Descriptors: Evaluation Methods, Information Retrieval, Information Systems, Mathematical Models
Jones, K. Sparck; Jackson, D. M. – 1969
This report summarizes the work carried out on the automatic construction of keyword classifications and their use in information retrieval. It discusses the possible characteristics of such classifications, and potential ways of using them; and describes the various approaches to classification that were considered in terms of an overall frame of…
Descriptors: Automatic Indexing, Classification, Indexing, Information Retrieval
Svenonius, Elaine – 1971
The main purpose of the experiment was to answer the question whether broad or narrow terms function most effectively in the retrieval of relevant documents. The answer depends on what the user of the retrieval system wants, his wants being expressed in terms of stated precision-recall preference, or by the exact number of relevant documents he…
Descriptors: Indexes, Indexing, Information Retrieval, Information Science
Landry, Bertrand Clovis – 1971
Present day shortcomings in information retrieval are the results of a failure to properly contend with the problem of data representation. The index provides the necessary linkage between a multiplicity of sources and a single receiver. Whether considering the source/document-space interface or the query/index interface, the elements of the…
Descriptors: Indexing, Information Retrieval, Information Storage, Information Theory
Scheffler, F. L.; March, J. F. – 1972
The ability of various Aerospace Materials Information Center (AMIC) information specialists to prepare search strategies for document retrieval was studied by providing ten typical search request statements to seven information specialists. Each specialist prepared search strategies independently. Significant variations occurred among the…
Descriptors: Information Retrieval, Information Scientists, Information Systems, Relevance (Information Retrieval)

Hutchinson, T. P. – Journal of Documentation, 1978
Suggests that a possible reason for receiver-operating characteristics (ROC) curves having a slope other than unity when plotted on Normal-deviate axes is that the dichotomy into relevant and nonrelevant items is artificial, and that there is really a bivariate distribution of objective relevance and relevance as assessed by the information…
Descriptors: Information Retrieval, Information Systems, Mathematical Models, Performance Criteria

Noreault, Terry; And Others – Journal of the American Society for Information Science, 1977
This study examined the effectiveness using an automatic algorithm to rank the results of Boolean searches of an inverted file design document retrieval system. Relevant documents were ranked significantly higher than nonrelevant documents on output lists. (Author/KP)
Descriptors: Algorithms, Costs, Information Retrieval, Information Systems

Sachs, Wladimir – Journal of the American Society for Information Science, 1976
The theory of fuzzy sets is used to provide a rigorous formulation of the problem of associative retrieval. This formulation suggests the idea of using fuzzy clustering to organize data for retrieval. (Author)
Descriptors: Cluster Grouping, Information Retrieval, Mathematical Models, Relevance (Information Retrieval)