A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs

This research assesses the performance of 89 industrial engineering degrees in Colombia. The proposed approach articulates the Six Sigma concept of quality with the efficiency assessment from data envelopment analysis. The data used correspond to the standardised test taken by university students in...

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Autores:
Delahoz-Dominguez, Enrique
Zuluaga Ortiz, Rohemi Alfredo
Suarez-Sánchez, Mária
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12108
Acceso en línea:
https://hdl.handle.net/20.500.12585/12108
Palabra clave:
Data Envelopment Analysis;
Decision Making Units;
Education
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
title A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
spellingShingle A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
Data Envelopment Analysis;
Decision Making Units;
Education
LEMB
title_short A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
title_full A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
title_fullStr A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
title_full_unstemmed A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
title_sort A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs
dc.creator.fl_str_mv Delahoz-Dominguez, Enrique
Zuluaga Ortiz, Rohemi Alfredo
Suarez-Sánchez, Mária
dc.contributor.author.none.fl_str_mv Delahoz-Dominguez, Enrique
Zuluaga Ortiz, Rohemi Alfredo
Suarez-Sánchez, Mária
dc.subject.keywords.spa.fl_str_mv Data Envelopment Analysis;
Decision Making Units;
Education
topic Data Envelopment Analysis;
Decision Making Units;
Education
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description This research assesses the performance of 89 industrial engineering degrees in Colombia. The proposed approach articulates the Six Sigma concept of quality with the efficiency assessment from data envelopment analysis. The data used correspond to the standardised test taken by university students in Colombia in their last year of training (SABER_PRO). The input variables used for the Six Sigma metrics are quantitative reasoning, critical reading, citizen competencies, English and written communication. The output variable is the learning outcome, 'formulation and evaluation of projects'. The study's findings show that universities with institutional quality accreditation have a higher level of compliance than non-accredited universities. Also, private universities have a higher level of compliance than public universities. Regarding the data envelopment analysis model results, the average level of efficiency of the universities determined by the CRS, VRS, and performance to scale models is 93%, 90%, and 92%, respectively. © 2023 Inderscience Enterprises Ltd.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-07-18T12:17:11Z
dc.date.available.none.fl_str_mv 2023-07-18T12:17:11Z
dc.date.issued.none.fl_str_mv 2023
dc.date.submitted.none.fl_str_mv 2023
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dc.identifier.citation.spa.fl_str_mv Dominguez, E. D., Ortiz, R. Z., & Sánchez, M. S. (2023). A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs. International Journal of Six Sigma and Competitive Advantage, 14(3), 279. https://doi.org/10.1504/ijssca.2023.130283
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/12108
dc.identifier.doi.none.fl_str_mv 10.1504/IJSSCA.2023.130283
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Dominguez, E. D., Ortiz, R. Z., & Sánchez, M. S. (2023). A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs. International Journal of Six Sigma and Competitive Advantage, 14(3), 279. https://doi.org/10.1504/ijssca.2023.130283
10.1504/IJSSCA.2023.130283
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12108
dc.language.iso.spa.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 20 páginas
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dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.source.spa.fl_str_mv International Journal of Six Sigma and Competitive Advantage, 14(3), 279. https://doi.org/10.1504/ijssca.2023.130283
institution Universidad Tecnológica de Bolívar
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spelling Delahoz-Dominguez, Enrique9107e382-6cea-4119-bc15-e873c3e7f5e4Zuluaga Ortiz, Rohemi Alfredo182b4086-4094-4784-9843-4be10643fb58Suarez-Sánchez, Mária3d46ea11-5cba-4610-8ee2-3f4c2ee4171d2023-07-18T12:17:11Z2023-07-18T12:17:11Z20232023Dominguez, E. D., Ortiz, R. Z., & Sánchez, M. S. (2023). A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programs. International Journal of Six Sigma and Competitive Advantage, 14(3), 279. https://doi.org/10.1504/ijssca.2023.130283https://hdl.handle.net/20.500.12585/1210810.1504/IJSSCA.2023.130283Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis research assesses the performance of 89 industrial engineering degrees in Colombia. The proposed approach articulates the Six Sigma concept of quality with the efficiency assessment from data envelopment analysis. The data used correspond to the standardised test taken by university students in Colombia in their last year of training (SABER_PRO). The input variables used for the Six Sigma metrics are quantitative reasoning, critical reading, citizen competencies, English and written communication. The output variable is the learning outcome, 'formulation and evaluation of projects'. The study's findings show that universities with institutional quality accreditation have a higher level of compliance than non-accredited universities. Also, private universities have a higher level of compliance than public universities. Regarding the data envelopment analysis model results, the average level of efficiency of the universities determined by the CRS, VRS, and performance to scale models is 93%, 90%, and 92%, respectively. © 2023 Inderscience Enterprises Ltd.20 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2International Journal of Six Sigma and Competitive Advantage, 14(3), 279. https://doi.org/10.1504/ijssca.2023.130283A Six Sigma and DEA approach for learning outcomes assessment at industrial engineering programsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Data Envelopment Analysis;Decision Making Units;EducationLEMBCartagena de IndiasAdams, D. Defining educational quality (1993) Educational Planning, 9 (3), pp. 3-18. Cited 12 times.Ahmad, N., Naveed, A., Ahmad, S., Butt, I. BANKING SECTOR PERFORMANCE, PROFITABILITY, AND EFFICIENCY: A CITATION-BASED SYSTEMATIC LITERATURE REVIEW (2020) Journal of Economic Surveys, 34 (1), pp. 185-218. Cited 34 times. http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-6419 doi: 10.1111/joes.12346Alexander, R.J. Teaching and learning for all? The quality imperative revisited (2015) International Journal of Educational Development, 40, pp. 250-258. Cited 56 times. http://www.elsevier.com/inca/publications/store/7/1/9/index.htt doi: 10.1016/j.ijedudev.2014.11.012Ali, I., Pant, M., Rana, U.S. Relative performance assessment of academic departments of higher educational institute using DEA with sensitivity analysis (2018) International Journal of Hybrid Intelligent Systems, 14 (3), pp. 181-191. Cited 4 times.Aparicio, J., Perelman, S., Santín, D. Comparing the evolution of productivity and performance gaps in education systems through DEA: an application to Latin American countries (2022) Operational Research, 22 (2), pp. 1443-1477. Cited 8 times. http://www.springer.com/business/operations+research/journal/12351 doi: 10.1007/s12351-020-00578-2Asiyai, R.I. Best practices for quality assurance in higher education: implications for educational administration (2020) International Journal of Leadership in Education. Cited 9 times. http://www.tandf.co.uk/journals/titles/13603124.asp doi: 10.1080/13603124.2019.1710569Banker, R.D., Charnes, A., Cooper, W.W. SOME MODELS FOR ESTIMATING TECHNICAL AND SCALE INEFFICIENCIES IN DATA ENVELOPMENT ANALYSIS. (1984) Management Science, 30 (9), pp. 1078-1092. Cited 10430 times. doi: 10.1287/mnsc.30.9.1078Biju, S., Nair, S.K. 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