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Gambhir, Victor; Wadhwa, N. C.; Grover, Sandeep – Quality Assurance in Education: An International Perspective, 2016
Purpose: The paper aims to discuss current Technical Education scenarios in India. It proposes modelling the factors affecting quality in a technical institute and then applying a suitable technique for assessment, comparison and ranking. Design/methodology/approach: The paper chose graph theoretic approach for quantification of quality-enabled…
Descriptors: Foreign Countries, Technical Education, Educational Quality, Program Evaluation
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Davies, Roy – Journal of Documentation, 1985
Introduces Q-analysis, a methodology for investigating a wide range of structural phenomena that defines structures in terms of relations between members of sets and reveals their salient features by using techniques of algebraic topology. Applications relevant to librarianship and information science are reviewed and present limitations…
Descriptors: Change Agents, Classification, Equations (Mathematics), Graphs
Ho, Andrew D.; Haertel, Edward H. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2006
Problems of scale typically arise when comparing test score trends, gaps, and gap trends across different tests. To overcome some of these difficulties, we can express the difference between the observed test performance of two groups with graphs or statistics that are metric-free (i.e., invariant under positive monotonic transformations of the…
Descriptors: Testing Programs, Test Results, Comparative Testing, Multidimensional Scaling
Hopp, David I. – 1980
A reporting and study format for the investigation of university student retention is presented. Student progression and loss is shown graphically and in tabular form to enable ready comprehension and encourage data exploration. Data obtained at Virginia Commonwealth University for 1977-80 are used as illustration. Two ways of viewing student…
Descriptors: Academic Persistence, Cohort Analysis, College Students, Comparative Analysis
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