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Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar – International Journal of Educational Technology in Higher Education, 2023
Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…
Descriptors: Identification, At Risk Students, Artificial Intelligence, Academic Achievement
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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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Beavers, Amy S.; Lounsbury, John W.; Richards, Jennifer K.; Huck, Schuyler W.; Skolits, Gary J.; Esquivel, Shelley L. – Practical Assessment, Research & Evaluation, 2013
The uses and methodology of factor analysis are widely debated and discussed, especially the issues of rotational use, methods of confirmatory factor analysis, and adequate sample size. The variety of perspectives and often conflicting opinions can lead to confusion among researchers about best practices for using factor analysis. The focus of the…
Descriptors: Factor Analysis, Educational Research, Best Practices, Sample Size
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Rudnitsky, Alan N. – 1977
Three approaches to the graphic representation of similarity and dissimilarity matrices are compared and contrasted. Specifically, Kruskal's multidimensional scaling, Johnson's hierarchical clustering, and Waern's graphing techniques are employed to depict, in two dimensions, data representing the structure of a set of botanical concepts. Each of…
Descriptors: Botany, Cluster Analysis, Cluster Grouping, Comparative Analysis
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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
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Ramsing, Kenneth D.; Wish, John R. – Information Processing and Management, 1982
Discusses trade-off analysis, a data collection method with conjoint measurement technique in which respondents rank order a matrix of pairs of levels of specific attributes, and gives examples for use in determining library users' perceptions of relative utility of completeness of information versus cost of a search. Twelve sources are cited.…
Descriptors: Costs, Data Collection, Graphs, Information Retrieval
Thomson, William A.; And Others – 1991
While educational researchers frequently collect data from a sample of individuals on a sample of variables, they sometimes collect data involving samples of: (1) subjects; (2) variables; and (3) occasions of measurement. A multistage procedure for analyzing such three-mode data is presented, focusing on effect sizes and graphic confidence…
Descriptors: Administrator Attitudes, Admissions Officers, Case Studies, Data Collection
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
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Leutner, Detlev; Weinsier, Philip D. – Computers in Human Behavior, 1994
This article's goals are to validate the Computer and Information Technology Attitude Inventory (Weinsier and Leutner, 1988), a nontraditional approach to attitude measurement; and to report on a study designed to search for intercultural differences or cross-cultural consistency of attitudes toward computers and information technology. (46…
Descriptors: Attitude Measures, College Students, Comparative Analysis, Computer Anxiety