Application of data envelopment analysis on the indicators contributing to learning and teaching performance

This paper applies data envelopment analysis (DEA) to explore the quantitative relative efficiency of 18 classes of freshmen students studying a course of English conversation in a university of Taiwan from the academic year 2004–2006. A diagram of teaching performance improvement mechanism is desig...

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Bibliographic Details
Published inTeaching and teacher education Vol. 28; no. 3; pp. 382 - 395
Main Authors Montoneri, Bernard, Lin, Tyrone T., Lee, Chia-Chi, Huang, Shio-Ling
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2012
Elsevier
Subjects
College Freshmen
College Instruction
Course Content
Data Analysis
Data enveloped analysis (DEA)
Efficiency
English (Second Language)
Foreign Countries
Information Technology
Instructional Improvement
Key performance indicators
Learning
Nonparametric Statistics
Performance Indicators
Performance Technology
Second Language Instruction
Sensitivity
Taiwan
Teacher Effectiveness
Teachers
Teaching
Teaching performance improvement
Taiwan
Teaching performance improvement
Key performance indicators
Data enveloped analysis (DEA)
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Summary:This paper applies data envelopment analysis (DEA) to explore the quantitative relative efficiency of 18 classes of freshmen students studying a course of English conversation in a university of Taiwan from the academic year 2004–2006. A diagram of teaching performance improvement mechanism is designed to identify key performance indicators for evaluation in order to help teachers concentrate their efforts on the formulated teaching suggestions. The sensitivity study highlights the priority of the richness of course contents over the other evaluated indicators. The performance improvement mechanism can help decision-makers to design educational policies. ► DEA is used in ESL performance evaluation to identify units’ relative efficiency. ► A teaching performance improvement mechanism highlights the important indicators. ► The indicators’ contribution helps to formulate suggestions for inefficient units. ► Sensitivity analysis highlights the importance of the richness of course contents. ► The improvement mechanism helps decision-makers to design educational policies.
Bibliography:ObjectType-Article-1
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content type line 23
ISSN:0742-051X
1879-2480
DOI:10.1016/j.tate.2011.11.006