This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

This paper compares the efficiency of two intelligent methods: expert systems and neural networks, in detecting children's mathematical gift at the fourth grade of elementary school. The input space for the expert system and the neural network model consisted of 60 variables describing five basic components of a child's mathematical gift…

Performance assessment is an important task in all levels of education, both as input for identifying remedial needs of individual students and for improving general quality of education. Although explicit assessment measures can be obtained through objective standardized testing, it is much more difficult to capture fuzzier, or tacit, performance…