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In this paper we introduce M-PLAT, an intelligent tutoring system for helping students to learn the basics of programming languages. In fact, the M-PLAT system represents a full collection of intelligent tutoring systems, and due to its modular and hierarchical architecture it can be upgraded to deal with a new programming language that is not yet included in the system. Thus, this tutoring system...
We present in this paper a computational model for controling the gaze direction of a pedagogical agent. We are using a methodogical approach based on digital video corpora. A video corpus was collected. A subset of this corpus was annotated. Rules allowing for controling gaze direction of an agent were then obtained through statistical analysis on the annotations.
Intention is an important factor to drive human behavior. With a certain intention, an action becomes more natural and reasonable. In this paper, an agent with intention, which not only possesses facial expressions, hand gestures, body motions, but also holds memory and personality, is presented. The agent exploits the social dialogue to show intention and its care for students in a learning system...
Recent years have seen new forms of immersive learning such as interactive storytelling in virtual learning environment. Intelligent software agents are able to provide a more attractive narrative and get the users more involved in the unfolding of the story line in the virtual world. However, designing and implementing a software agent or a multi-agent system (MAS) for this purpose requires the developer...
Employing the state-of-the-art artificial intelligence (AI) technology in current e-learning systems can bring personalized, adaptive, and intelligent services to both students and educators. Although we have seen more and more successful applications of AI in e-learning, most of them have not yet been expanded to or adopted in widely used e-learning systems, especially open-source learning management...
Although the notion of generality is central in mathematics and science, beingable to identify and express general patterns and/or articulate structures is one of the main difficulties for children when they learn mathematics. This paper presents a step towards a set of tools that addresses this problem by encouraging students to connect between actual activities within the task and expressions of...
The goal of this work is the design and construction of adaptive tutorials based on the application of algorithms for the automatic resolution of problems which can be used to automatically generate texts of a formative character, practical exercises or tests and to evaluate them.
In this paper, we present an author tool to facilitate the creation of adaptive learning material to be used in handheld devices. The adaptive material uses a pedagogical approach based on multiple intelligence and fuzzy logic theory. Our main contribution is a new author tool which allows instructors to systematically build tutoring systems for groups of mobile learners; everything under a graphic...
A negotiation-based intelligent tutoring system of which the tutor and learner agents in playing problem-specific roles is developed to assist learner in problem solving through a negotiation mechanism. During the problem solving, fuzzy constraint-directed negotiation is employed to coordinate the mutual thinking between tutor and learner agents, and it can resolve the cognition differences and thereby...
We have developed an affective behavior model (ABM) for intelligent tutoring systems, so the tutor considers the affective state as well as the pedagogical state of the student. The ABM first establishes the affective state based on the OCC cognitive model of emotions, represented as a dynamic Bayesian network. Then, the tutor selects the best tutorial action according to the pedagogical and affective...
In this paper we present an approach, based on exploiting and modeling empirical knowledge, for design an adaptive intelligent tutoring system in medical education. We present our learning knowledge design constraints and their related computer representations. We conclude with the possibilities of our approach and their perspectives.
This paper presents a task selection model for personalised educational instruction. The proposed model is based on the student expertise level and it takes into account performance and mental load in order to adapt task selection. The article also discusses distinctions between our approach and related works.
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