Abstract
Cooperative learning is an approach of learning process together in small groups to solve problems together. Cooperative learning can enhance students’ ability higher than individual learning. One of the key that can affect the success of cooperative learning is formation. Heterogeneity in cooperative learning can improve cognitive performance. The problem is hard and need long time to determine students into an appropriate group. A student has many attributes that defined their characteristics from academic factor and non - academic factor, such as motivation in learning, self-interest, learning styles, friends, gender, age, educational background of parents, and other explanation of the uniqueness. The purpose of this study is to determine what is the most influential attribute in grouping process by calculate the information gain of each attributes. Then, we can reduce some attributes. The result of the experiment that the most influential and relevant attribute in the process of formating a group is learning style.
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Pratiwi, O.N., Rahardjo, B., Supangkat, S.H. (2015). Attribute Selection Based on Information Gain for Automatic Grouping Student System. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds) Intelligence in the Era of Big Data. ICSIIT 2015. Communications in Computer and Information Science, vol 516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46742-8_19
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DOI: https://doi.org/10.1007/978-3-662-46742-8_19
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