In this thesis, we present an artificial intelligence approach for tutoring students in
environments where there is a large repository of possible learning objects (eg texts …

In this paper, we present an algorithm for reasoning about the sequencing of content for
students in an intelligent tutoring system, influenced by McCalla's ecological approach. We …

This paper discusses a predictive modeling framework actualized in a learning agent that
uses logged tutorial interactions to discover predictive characteristics of students. The agent …

Planning is a problem-solving method that produces an action sequence (ie plan) to achieve
a goal. Instructional Planning is a central issue to develop adaptive educational software …

This paper focuses on an intelligent Web-based tutorial system composed of reusable
learning objects (LOs). Reusable LOs lay down the foundation for a large scale …

This paper focuses on an intelligent Web-based tutorial system composed of reusable
learning objects (LO). Reusable LO lay down the foundation for a large scale collaboration …

The aim of this study is to design and develop an interaction model to perform the
collaborative teaching process among pedagogical agents. A pedagogical agent has a role …

Learner modeling forms the foundations for intelligent tutoring systems that provide adaptive
and active learning guidance for learning and education quality enhancement. The aim of …

抄録 Studies have emphasized that empathy is a learnable skill that can be developed
through learning from experience. Applying this in the context of human-system interaction …

The modeling process of metacognitive functions in Intelligent Tutoring Systems (ITS) is a
difficult and time-consuming task. In particular when the integration of several metacognitive …