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"Developing a Perspective", "Inter-Connecting", and "Bringing It Together": Who Chooses to Use a Labelling Feature in Online Conversations in a Graduate Course?
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Bures, Eva Mary; Schmid, Richard F.; Abrami, Philip C. – Educational Media International, 2009
This study explores a labelling feature that allows students to tag parts of their online messages. Data comes from four sequentially offered sessions of a graduate education course. Students engaged in two to three online activities in groups of three or four. Students (n = 53) contributed from 0 to 56 labels (M = 12.42, SD = 13.50) and 18 to 114…
Descriptors: Foreign Countries, Higher Education, Graduate Students, Education Courses
On Sample Sizes for Non-Matched-Pair IR Experiments.
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Robertson, S. E. – Information Processing and Management, 1990
Discusses the problem of determining an adequate sample size for an information retrieval experiment comparing two systems on separate samples of requests. The application of statistical methods to information retrieval experiments is discussed, the Mann-Whitney U Test is used for determining minimum sample sizes, and variables and distributions…
Descriptors: Comparative Analysis, Information Retrieval, Measurement Techniques, Predictor Variables
Optimum Probability Estimation from Empirical Distributions.
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Fuhr, Norbert; Huther, Hubert – Information Processing and Management, 1989
Discusses the interdependencies between parameter estimation and properties of probabilistic models, such as dependency assumptions, binary vs. nonbinary features, and estimation sample selection. An optimum estimation for binary features applicable to information retrieval is defined, a method for computing this estimation using empirical data is…
Descriptors: Estimation (Mathematics), Information Retrieval, Mathematical Models, Predictor Variables
An Alternative to Precision.
Janes, Joseph W. – Proceedings of the ASIS Annual Meeting, 1991
Presents a new measure of retrieval evaluation called corrected precision, which refines the traditional measures of recall and precision by taking into account differences among users in their selectivity when judging document relevance. The formula for calculating corrected precision is explained, and results from an empirical study of relevance…
Descriptors: Evaluation Methods, Individual Differences, Information Retrieval, Mathematical Formulas