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sphereML  

Analyzing Students' Performance Dataset in Physics Education Research (SPHERE) using Machine Learning (ML)
View on CRAN: Click here


Download and install sphereML package within the R console
Install from CRAN:
install.packages("sphereML")

Install from Github:
library("remotes")
install_github("cran/sphereML")

Install by package version:
library("remotes")
install_version("sphereML", "0.1.0")



Attach the package and use:
library("sphereML")
Maintained by
Purwoko Haryadi Santoso
[Scholar Profile | Author Map]
First Published: 2025-02-06
Latest Update: 2025-02-06
Description:
A simple package facilitating ML based analysis for physics education research (PER) purposes. The implemented machine learning technique is random forest optimized by item response theory (IRT) for feature selection and genetic algorithm (GA) for hyperparameter tuning. The data analyzed here has been made available in the CRAN repository through the 'spheredata' package. The SPHERE stands for Students' Performance in Physics Education Research (PER). The students are the eleventh graders learning physics at the high school curriculum. We follow the stream of multidimensional students' assessment as probed by some research based assessments in PER. The goal is to predict the students' performance at the end of the learning process. Three learning domains are measured including conceptual understanding, scientific ability, and scientific attitude. Furthermore, demographic backgrounds and potential variables predicting students' performance on physics are also demonstrated.
How to cite:
Purwoko Haryadi Santoso (2025). sphereML: Analyzing Students' Performance Dataset in Physics Education Research (SPHERE) using Machine Learning (ML). R package version 0.1.0, https://cran.r-project.org/web/packages/sphereML. Accessed 04 Apr. 2025.
Previous versions and publish date:
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Full sphereML package functions and examples
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