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Wook, Muslihah; Yusof, Zawiyah M.; Nazri, Mohd Zakree Ahmad – Education and Information Technologies, 2017
The acceptance of Educational Data Mining (EDM) technology is on the rise due to, its ability to extract new knowledge from large amounts of students' data. This knowledge is important for educational stakeholders, such as policy makers, educators, and students themselves to enhance efficiency and achievements. However, previous studies on EDM…
Descriptors: Educational Research, Information Retrieval, Data Analysis, Educational Technology
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Bitton, Ephrat – ProQuest LLC, 2011
This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…
Descriptors: Safety, Opinions, Hypothesis Testing, Intuition
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Shaw, W. M., Jr.; And Others – Information Processing & Management, 1997
Describes a study that computed low performance standards for the group of queries in 13 information retrieval (IR) test collections. Derived from the random graph hypothesis, these standards represent the highest levels of retrieval effectiveness that can be obtained from meaningless clustering structures. (Author/LRW)
Descriptors: Evaluation Methods, Hypothesis Testing, Information Retrieval, Measurement Techniques
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Cleveland, Donald B.; And Others – Journal of the American Society for Information Science, 1984
Relative effectiveness of indexing using full-text or less than full-text was tested using non-Boolean, chaining type of file structure and searching method. Indexing was done using titles, abstracts, full-text, references, and various combinations; Goffman's indirect method of information retrieval was used to structure and search file.…
Descriptors: Databases, Hypothesis Testing, Indexing, Information Retrieval
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Wilson, T. D.; Ford, Nigel J.; Ellis, David; Foster, Allen E.; Spink, Amanda – Journal of the American Society for Information Science and Technology, 2002
Explores the relationship between the concept of uncertainty in information seeking within a model of the problem-solving process and variables derived from other models, based on longitudinal data collected in the United Sates and the United Kingdom that investigated the processes of mediated information retrieval searching during human…
Descriptors: Foreign Countries, Hypothesis Testing, Information Retrieval, Information Seeking
LEVY, BERT; MENDEN, WERNER H. – 1967
THE ABC (APPROACH BY CONCEPT) SYSTEM FOR STORAGE AND RETRIEVAL OF SCIENTIFIC AND TECHNICAL INFORMATION HAS BEEN SUBJECTED TO AN EXTENSIVE PERFORMANCE TEST. IN LI 000 318 THE TEST PROGRAM AND SETUP WAS DESCRIBED AS WELL AS THE METHODOLOGY, AND IN THE SECOND REPORT, LI 000 317, A PRELIMINARY STATISTICAL EVALUATION OF THE TEST RESULTS WAS GIVEN. THIS…
Descriptors: Dictionaries, Evaluation, Hypothesis Testing, Information Centers
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Freeman, Diana; Levett, John – Education and Computing, 1985
Describes two research projects based on QUEST and proposes an information handling model. Design, interrogation, and evaluation of data files are discussed relative to restraints imposed by child's developmental stage and nature of software employed. Implications of computer-related information handling for curriculum design and children's…
Descriptors: Computer Software, Curriculum Development, Databases, Developmental Stages
ALTMANN, BERTHOLD – 1965
AFTER A BRIEF SUMMARY OF THE TEST PROGRAM (DESCRIBED MORE FULLY IN LI 000 318), THE STATISTICAL RESULTS TABULATED AS OVERALL "ABC (APPROACH BY CONCEPT)-RELEVANCE RATIOS" AND "ABC-RECALL FIGURES" ARE PRESENTED AND REVIEWED. AN ABSTRACT MODEL DEVELOPED IN ACCORDANCE WITH MAX WEBER'S "IDEALTYPUS" ("DIE OBJEKTIVITAET…
Descriptors: Correlation, Dictionaries, Evaluation Methods, Hypothesis Testing
Balaraman, Kamala – Proceedings of the ASIS Annual Meeting, 1991
Describes preliminary results of a study that examined the effect of individual differences on the use of CD-ROM databases by novice undergraduate users. Factors considered include age, sex, native language, major, computer literacy, computer affinity, personality traits, learning style, visual ability, and perceived usefulness of the system. A…
Descriptors: Academic Libraries, Correlation, Databases, Higher Education
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection