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Shen, Huajie; Liu, Teng; Zhang, Yueqin – International Journal of Distance Education Technologies, 2020
This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…
Descriptors: Correlation, Distance Education, Efficiency, Bayesian Statistics
Bogetoft, Peter; Wittrup, Jesper – School Effectiveness and School Improvement, 2017
This paper discusses methods for benchmarking vocational education and training colleges and presents results from a number of models. It is conceptually difficult to benchmark vocational colleges. The colleges typically offer a wide range of course programmes, and the students come from different socioeconomic backgrounds. We solve the…
Descriptors: Benchmarking, Vocational Education, Models, Postsecondary Education
Munoz, David Andres – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to assess the research efficiency of the Chilean higher education institutions (HEIs). As it has been argued in the literature, universities in Chile are far from being considered research-oriented institutions. Current governmental reforms have put pressures on the efficient use of public resources,…
Descriptors: Foreign Countries, Efficiency, Research, Higher Education
Yalçin, Seher; Tavsancil, Ezel – Educational Sciences: Theory and Practice, 2014
This research aimed to determine the relative efficiency of the types of school common to three administrations of the PISA (2003-2006-2009) by comparing their results, along with the activities that are to be performed for inefficient school types and changes in the efficiency value of the school types by year. The comparative analysis was based…
Descriptors: Foreign Countries, Comparative Analysis, School Effectiveness, Efficiency
Gottschall, Amanda C.; West, Stephen G.; Enders, Craig K. – Multivariate Behavioral Research, 2012
Behavioral science researchers routinely use scale scores that sum or average a set of questionnaire items to address their substantive questions. A researcher applying multiple imputation to incomplete questionnaire data can either impute the incomplete items prior to computing scale scores or impute the scale scores directly from other scale…
Descriptors: Questionnaires, Data Analysis, Computation, Monte Carlo Methods
Conzemius, Anne – Journal of Staff Development, 2012
This article discusses five generally accepted reasons to use data as a part of an educator's ongoing professional practice. Of course, there are many other more specific reasons one might look at data, but these five cover the overarching need in an educational setting. The five major purposes for using data are: (1) To enhance understanding and…
Descriptors: Data Analysis, Teaching (Occupation), Educational Practices, Perspective Taking
Coupet, Jason; Barnum, Darold – International Journal of Educational Advancement, 2010
Discussions of efficiency among Historically Black Colleges and Universities (HBCUs) are often missing in academic conversations. This article seeks to assess efficiency of individual HBCUs using Data Envelopment Analysis (DEA), a non-parametric technique that can synthesize multiple inputs and outputs to determine a single efficiency score for…
Descriptors: Black Colleges, Educational Finance, Efficiency, Data Analysis
Lefebre, Elizabeth; Fabrizio, Michael; Merbitz, Charles – Journal of Precision Teaching and Celeration, 2008
Although behavior analysis relies primarily on visual inspection for interpreting data, previous research shows that the method of display can influence the judgments. In the current study, 26 Board-Certified Behavior Analysts reviewed two data sets displayed on each of three methods--equal-interval graphs, tables, and Standard Celeration…
Descriptors: Educational Research, Data Interpretation, Efficiency, Comparative Analysis
McMillan, Melville L.; Chan, Wing H. – Education Economics, 2006
Efficiency scores are determined for Canadian universities using both data envelopment analysis and stochastic frontier methods for selected specifications. The outcomes are compared. There is considerable divergence in the efficiency scores and their rankings among methods and specifications. An analysis of rankings, however, reveals that the…
Descriptors: Universities, Efficiency, Data Analysis, Productivity

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