{ "_id": "6a1ed390b401979e7340e048", "Package": "sphereML", "Type": "Package", "Title": "Analyzing Students' Performance Dataset in Physics Education\nResearch (SPHERE) using Machine Learning (ML)", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Purwoko Haryadi\", \"Santoso\", email = \"purwokoharyadisantoso@unsulbar.ac.id\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"<0000-0002-7093-5309>\")),\nperson(\"Edi\", \"Istiyono\", role = \"ctb\"),\nperson(\"Haryanto\", \"Haryanto\", role = \"ctb\"))", "Maintainer": "Purwoko Haryadi Santoso\n", "Description": "A shiny R package facilitating ML based analysis for\nphysics education research (PER) purposes. The data has been\nmade available in the CRAN repository through the spheredata\npackage. SPHERE stands for Students' Performance in Physics\nEducation Research (PER). The students are the eleventh graders\nlearning physics at high school curriculum. We follow the\nstream of multidimensional students' assessment as probed by\nsome research based assessments (RBAs) in PER. The goal is to\npredict the students' performance at the end of the learning\nprocess. Three learning domains are measured including\nconceptual understanding, scientific ability, and scientific\nattitude. Furthermore, demographic backgrounds and potential\nvariables influencing students' performance on physics are also\ndemonstrated. We provide teachers' judgment data as our\nbaseline to compare the predictive results of students'\nperformance between machine learning (ML) based analysis and\nteacher (human) based judgment. Click on the Tab below to\nexplore the detail of each data further.", "BugReports": "https://github.com/santosoph/sphereML/issues", "URL": "https://github.com/santosoph/sphereML", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libjpeg-dev\nlibpng-dev libuv1-dev libxml2-dev libx11-dev zlib1g-dev", "Repository": "https://santosoph.r-universe.dev", "Date/Publication": "2024-11-20 16:17:16 UTC", "RemoteUrl": "https://github.com/santosoph/sphereml", "RemoteRef": "HEAD", "RemoteSha": "24c951b25bfbe70b68384baea9efab0f7115bab8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 10:09:07 UTC", "User": "root" }, "Author": "Purwoko Haryadi Santoso [aut, cre] (ORCID:\n),\nEdi Istiyono [ctb],\nHaryanto Haryanto [ctb]", "MD5sum": "487007d8df4aef8ee0ce7a4c5865e30a", "_user": "santosoph", "_type": "src", "_file": "sphereML_0.1.0.tar.gz", "_fileid": 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