Ontological Support for Teaching Strategy in Intelligent Visual Reasoning Tutor
نویسندگان
چکیده
IVRT is an ITS for visual reasoning, using the missing view problem. It combines an ITS framework with a solid modeling kernel that supports hintgenerating rules using geometric reasoning. We develop an ontology for IVRT’s hint generation rules, and a separate ontology for IVRT’s teaching strategy. Teaching strategy rules are stored in a custom text format, with compilation to Jess. The ability to visualize and reason about geometric aspects of 3D objects is critical for success in many disciplines in engineering and architecture. The missing view problem [1], shown in Figure 1, is typically used in visual reasoning instruction. Two consistent, principal orthographic views are given, and the learner must provide the third view corresponding to a valid 3D solid object. Top View Front View Side View Solid (pictorial view)
منابع مشابه
Multiagent Based Selection of Tutor-Subject-Student Paradigm in an Intelligent Tutoring System
Intelligent tutoring systems (ITS) aim at development of two main interconnected modules: pedagogical module and student module. The pedagogical module concerns with the design of a teaching strategy which combines the interest of the student, tutor’s capability and characteristics of subject. Very few effective models have been developed which combine the cognitive, psychological and behaviora...
متن کاملAn Intelligent Agent with Ontological Knowledge: Classiffcation of Educational Materials to Support the Creation of Online Courses
The composition of a course for e -learning platforms, through the selection and the sequencing of teaching materials (Learning Object) is a complicated process and is made manually by teachers. Target of this research is, through the study of the dependencies between topics related to the LO in Wikipedia, understanding the prerequisite and successor dependencies between materials in order to c...
متن کاملTutoring an Entire Game with Dynamic Strategy Graphs: The Mixed-Initiative Sudoku Tutor
In this paper, we develop a mixed-initiative intelligent tutor for the game of Sudoku called MITS. We begin by developing a characterization of the strategies used in Sudoku as the basis for teaching the student how to play. In order to reason about interaction with the student, we also introduce a student modeling component motivated by the mixed-initiative model of Fleming and Cohen that trac...
متن کاملDirecting Development Effort with Simulated Students
Our goal is to find a methodology for directing development effort in an intelligent tutoring system (ITS). Given that ITS have several AI reasoning components, as well as content to present, evaluating them is a challenging task. Due to these difficulties, few evaluation studies to measure the impact of individual components have been performed. Our architecture evaluates the efficacy of each ...
متن کاملA Framework for Intelligent Knowledge Sequencing and Task Sequencing
Most effective human tutors possess the skill of adaptive sequencing of knowledge and tasks. This skill is also the key function of many important tutoring systems and learnina, environments . A number of workers in the field of intelligent tutoring systems have tried to build a framework for intelligent knowledge and task sequencing . In this paper we briefly discuss previous work on building ...
متن کامل