Driving Educational Excellence: A Data Envelopment Analysis Study for Decision-Making Enhancement

Author:

Luangpaiboon Pongchanun1ORCID,Phinkrathok Chiramet1,Atthirawong Walailak2,Aungkulanon Pasura3ORCID

Affiliation:

1. Thammasat University, Khlong Nueng, Pathumthani, Thailand

2. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

3. King Mongkut’s University of Technology North Bangkok, Thailand

Abstract

The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with the formulation of faculty development strategies tailored to enhance efficiency while accommodating individual professionals’ unique requirements and aspirations. Furthermore, beyond the annual University Evaluation System, faculty members conduct thorough evaluations to identify discrepancies in departmental reports detailing service levels and input components (factors of production) over a three-year period. Through descriptive statistics and hypothesis testing, reliable data guides the decision-making process regarding the optimal level for data envelopment analysis (DEA). The study employs four simulated scenarios to evaluate the overall performance of five departments using DEA. Findings reveal varying efficacy ratings across departments, with the Department of Health and Physical Education achieving a moderate rating and the Educational Technology Department exhibiting the lowest efficacy. Conversely, departments such as Art Education, Music Education, and Business Education showcase exemplary efficacy levels. Insights gleaned from quantitative analysis and questionnaires contribute significantly to faculty development, enhancing knowledge, competencies, values, attitudes, and future endeavors. Recommendations provided advocate for the widespread implementation of efficacious approaches to bolster faculty efficacy. Moreover, the study underscores the potential to enhance the efficiency and quality of service across faculties through the adoption of best practices and initiatives.

Funder

Faculty of Engineering, Thammasat School of Engineering, Thammasat University

Publisher

SAGE Publications

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