EXPLORATION OF MACHINE LEARNING ALGORITHM FOR SOLVING STUDENTS PERSONALIZATION LEARNING PROBLEM
The ideal condition in a learning process is a flow condition, which is a condition of thoughts, intentions, feelings, and senses that are integrated for the same purpose, namely learning. Flow conditions in learning can be achieved if there is an equality between the abilities and challenges of the...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/60608 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The ideal condition in a learning process is a flow condition, which is a condition of thoughts, intentions, feelings, and senses that are integrated for the same purpose, namely learning. Flow conditions in learning can be achieved if there is an equality between the abilities and challenges of the learner. Personalized learning is an approach to identify students' abilities in determining their learning challenges. This approach can be made with several machine learning algorithms, namely classification, clustering, and content-based recommendation systems. The classification algorithm is for predict the classification of new students based on students who have been classified in previous observations. The clustering algorithm serves to map the patterns' abilities of each student data. While the content-based recommendation system algorithm has functions to recommend learning content whose challenges are in accordance with the abilities of students. |
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