Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle
This article introduces a novel approach to enhance competency-based learning by combining the Deming Cycle with neutrosophic statistics. Competency-based education focuses on practical skills, but uncertainty in student performance and assessment can hinder its effectiveness. Neutrosophic statistic...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2025-04-01
|
| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/35NeutrosophicRegression.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849224392570044416 |
|---|---|
| author | Dr Hortencio Flores Flores Dr. Irma Reyes Blácido Dr. Magda Patricia Ramos Cevallos Dr. Nemesia Hidalgo Penadillo Mg. Luz Magali Villarroel Nuñez |
| author_facet | Dr Hortencio Flores Flores Dr. Irma Reyes Blácido Dr. Magda Patricia Ramos Cevallos Dr. Nemesia Hidalgo Penadillo Mg. Luz Magali Villarroel Nuñez |
| author_sort | Dr Hortencio Flores Flores |
| collection | DOAJ |
| description | This article introduces a novel approach to enhance competency-based learning by combining the Deming Cycle with neutrosophic statistics. Competency-based education focuses on practical skills, but uncertainty in student performance and assessment can hinder its effectiveness. Neutrosophic statistics, unlike traditional methods, explicitly models indeterminacy, providing a more complete picture of uncertainty in educational data. This approach integrates neutrosophic numbers into regression analysis to predict learning outcomes and quantify the confidence level of those predictions. These predictions, with their associated indeterminacy, then inform the Deming Cycle (Plan-DoCheck-Act), enabling educators to dynamically adjust teaching strategies based on data-driven insights. This leads to more informed decision-making, improved accuracy and reliability in predictions, and ultimately fosters continuous improvement in competency-based education. |
| format | Article |
| id | doaj-art-bf655a208d3d47aebd0d4eb8d5ce76aa |
| institution | Kabale University |
| issn | 2331-6055 2331-608X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj-art-bf655a208d3d47aebd0d4eb8d5ce76aa2025-08-25T10:25:53ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-04-018058459610.5281/zenodo.14759367Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming CycleDr Hortencio Flores FloresDr. Irma Reyes BlácidoDr. Magda Patricia Ramos CevallosDr. Nemesia Hidalgo PenadilloMg. Luz Magali Villarroel NuñezThis article introduces a novel approach to enhance competency-based learning by combining the Deming Cycle with neutrosophic statistics. Competency-based education focuses on practical skills, but uncertainty in student performance and assessment can hinder its effectiveness. Neutrosophic statistics, unlike traditional methods, explicitly models indeterminacy, providing a more complete picture of uncertainty in educational data. This approach integrates neutrosophic numbers into regression analysis to predict learning outcomes and quantify the confidence level of those predictions. These predictions, with their associated indeterminacy, then inform the Deming Cycle (Plan-DoCheck-Act), enabling educators to dynamically adjust teaching strategies based on data-driven insights. This leads to more informed decision-making, improved accuracy and reliability in predictions, and ultimately fosters continuous improvement in competency-based education. https://fs.unm.edu/NSS/35NeutrosophicRegression.pdfcompetency-based learningdeming cycleneutrosophic numbersregression analysisuncertaintyeducational datamachine learningcontinuous improvement |
| spellingShingle | Dr Hortencio Flores Flores Dr. Irma Reyes Blácido Dr. Magda Patricia Ramos Cevallos Dr. Nemesia Hidalgo Penadillo Mg. Luz Magali Villarroel Nuñez Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle Neutrosophic Sets and Systems competency-based learning deming cycle neutrosophic numbers regression analysis uncertainty educational data machine learning continuous improvement |
| title | Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle |
| title_full | Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle |
| title_fullStr | Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle |
| title_full_unstemmed | Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle |
| title_short | Enhancing Competency-Based Learning with Neutrosophic Regression and the Deming Cycle |
| title_sort | enhancing competency based learning with neutrosophic regression and the deming cycle |
| topic | competency-based learning deming cycle neutrosophic numbers regression analysis uncertainty educational data machine learning continuous improvement |
| url | https://fs.unm.edu/NSS/35NeutrosophicRegression.pdf |
| work_keys_str_mv | AT drhortenciofloresflores enhancingcompetencybasedlearningwithneutrosophicregressionandthedemingcycle AT drirmareyesblacido enhancingcompetencybasedlearningwithneutrosophicregressionandthedemingcycle AT drmagdapatriciaramoscevallos enhancingcompetencybasedlearningwithneutrosophicregressionandthedemingcycle AT drnemesiahidalgopenadillo enhancingcompetencybasedlearningwithneutrosophicregressionandthedemingcycle AT mgluzmagalivillarroelnunez enhancingcompetencybasedlearningwithneutrosophicregressionandthedemingcycle |