Predicting Physics Students’ Achievement Using In-Class Assessment Data: A Comparison of Two Machine Learning Models

Predicting Physics Students’ Achievement Using In-Class Assessment Data: A Comparison of Two Machine Learning Models

Data is the primary source to scaffold physics teaching and learning for teachers and students, mainly reported through in-class assessment. Machine learning (ML) is an axis of artificial intelligence (AI) study that immensely attracts the development of physics education research (PER). ML is built...

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Bibliographic Details
Main Authors: Purwoko Haryadi Santoso, Hayang Sugeng Santosa, Edi Istiyono, Haryanto Haryanto, Heri Retnawati
Format: Article
Language:English
Published: Universitas Islam Negeri Walisongo Semarang 2023-08-01
Series:Physics Education Research Journal
Subjects:
achievement prediction
assessment
machine learning
physics education
students
Online Access:https://journal.walisongo.ac.id/index.php/perj/article/view/14217

Internet

https://journal.walisongo.ac.id/index.php/perj/article/view/14217

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