MSIP: Agents embodying a category-based learning process for the ITS tutor to self-improve its instructional plans
We have conceived of a Multi-agent Self-improving Planner (MSIP) within the tutor module of an intelligent tutoring system (ITS). It embodies a learning process that utilizes knowledge about different student categories to adapt and improve its instructional plans on the level of these categories. I...
Saved in:
Main Authors: | Legaspi, Roberto S., Sison, Raymund, Numao, Masayuki |
---|---|
Format: | text |
Published: |
Animo Repository
2004
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3839 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4841/type/native/viewcontent/978_3_540_28633_2_14.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
A category-based framework of a self-improving instructional planner
by: Legaspi, Roberto S., et al.
Published: (2006) -
A category-based self-improving planning module
by: Legaspi, Roberto S., et al.
Published: (2004) -
A category-based framework of a self-improving instructional planner
by: Sison, Raymund C., et al.
Published: (2006) -
A machine learning framework for an expert tutor construction
by: Legaspi, R. S., et al.
Published: (2002) -
Self-improving instructional plans on the level of student categories
by: Regalado, Ralph Vincent J., et al.
Published: (2014)