Large scale study of primary school student performance relative to their LMS activity and socioeconomic demographics using a Bayesian Additive Regression Trees containing random effects
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915376241049600 |
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| author | da Silva, Natalia Tancredi, Bruno Alvarez-Castro, Ignacio |
| author_facet | da Silva, Natalia Tancredi, Bruno Alvarez-Castro, Ignacio |
| contents | Using data collected on almost every 9-12 years old student in Uruguay, we show how to apply Bayesian Additive Regression Trees (BART) with random effects to study performance association with Learning Managment System (LMS) activity and socioeconomic status. Performance data is joined with LMS activity pattern data. BART is chosen because it is possible to include school-level random effects. The model can be used for early identification of at-risk students, and highlights schools that are successful or need intervention. An interesting finding is that high levels of LMS usage show larger positive effects on performance in low socioeconomic status. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_05262 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Large scale study of primary school student performance relative to their LMS activity and socioeconomic demographics using a Bayesian Additive Regression Trees containing random effects da Silva, Natalia Tancredi, Bruno Alvarez-Castro, Ignacio Applications Methodology 62 Using data collected on almost every 9-12 years old student in Uruguay, we show how to apply Bayesian Additive Regression Trees (BART) with random effects to study performance association with Learning Managment System (LMS) activity and socioeconomic status. Performance data is joined with LMS activity pattern data. BART is chosen because it is possible to include school-level random effects. The model can be used for early identification of at-risk students, and highlights schools that are successful or need intervention. An interesting finding is that high levels of LMS usage show larger positive effects on performance in low socioeconomic status. |
| title | Large scale study of primary school student performance relative to their LMS activity and socioeconomic demographics using a Bayesian Additive Regression Trees containing random effects |
| topic | Applications Methodology 62 |
| url | https://arxiv.org/abs/2507.05262 |