Predicting high-level student responses using conceptual clustering

• Main Authors: Legaspi, Roberto S., Sison, Raymund C., Fukui, Ken Ichi, Numao, Masayuki
• Format: text
• Published: Animo Repository 2005
• Subjects: Cluster analysis—Computer programs; Machine learning; Forecasting; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2948
• Institution: De La Salle University

A conceptual clustering algorithm can search through huge amounts of data looking for multi-dimensional structures, where each structure or cluster represents a relevant concept in the problem-solving domain. We investigated on the effect of cluster knowledge for a learning agent to improve its pred...