A category-based framework of a self-improving instructional planner

• Main Authors: Legaspi, Roberto S., Sison, Raymund, Numao, Masayuki
• Format: text
• Published: Animo Repository 2006
• Subjects: Intelligent tutoring systems; Machine learning; Learning ability; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3531; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4533/type/native/viewcontent/tjsai.21.94
• Institution: De La Salle University

To have an instructional plan guide the learning process is significant to various teaching styles and an important task in an ITS. Though various approaches have been used to tackle this task, the compelling need is for an ITS to improve on its own the plans established in a dynamic way. We hypothe...