Multilevel process monitoring: A case study to predict student success or failure
| Autor: | Marit Schoonhoven, Leo C. E. Huberts, Ronald J. M. M. Does |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021103 operations research
Process management Process (engineering) Computer science Strategy and Management media_common.quotation_subject education Control (management) 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research 01 natural sciences Industrial and Manufacturing Engineering 010104 statistics & probability ComputingMilieux_COMPUTERSANDEDUCATION Quality (business) Research questions Statistical process monitoring 0101 mathematics Safety Risk Reliability and Quality media_common |
| Zdroj: | Journal of Quality Technology. 54:127-143 |
| ISSN: | 2575-6230 0022-4065 |
| DOI: | 10.1080/00224065.2020.1828008 |
| Popis: | In this case study, we demonstrate the use of multilevel process monitoring in quality control. Using high school data, we answer three research questions related to high school student progress during an academic year. The questions are (1) What determines student performance? (2) How can statistical process monitoring be used in monitoring student progress? (3) What method can be used for predictive monitoring of student results? To answer these questions, we worked together with a Dutch high school and combined hierarchical Bayesian modeling with statistical and predictive monitoring procedures. The results give a clear blueprint for student progress monitoring. |
| Databáze: | OpenAIRE |
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