Yasuhisa Okazaki

A Study on Web Resources_ Navigation for e-Learning: Usage of Fourier Domain Scoring on Web Pages Ranking Method

Using existing Web resources for e-learning is a very promising idea especially in reducing the cost of authoring. Envisioned as open-source, completely free, and frequently updated Wikipedia could become a good candidate. Even though Wikipedia has been structured by categories, still sometimes they are not dynamically updated when there are modifications. As Web resources for e-learning, it is a necessity to provide a navigation path in Wikipedia which semantically mapping the learning material and not merely based on the structures. The desired learning material could be provided as a request from search results. We introduce in this paper the usage of Fourier domain scoring (FDS) for ranking method in searching certain collection of Wikipedia Web pages. Unlike other methods that would only recognize the occurrence numbers of query terms, FDS could also recognize the spread of query terms throughout the content of Web pages. Based on the experiments, we concluded that the not relevant results retrieved are mainly influenced by the characteristic of Wikipedia. Given that the changes of Wikipedia Web pages could be done in any-part by anyone, we concluded that it is possible if only some parts of retrieved Web pages strongly related to query terms.

An implementation of a remote blackboard presenter system for remote lessons in conventional blackboard based style with rich media environment

We have developed a remote blackboard presenter system. The system works with the Digital Video Transfer System (DVTS). The system enables capturing, automatic transmitting and automatic presentation of high-quality images of a blackboard for the blackboard based lessons. In this paper, we described details of the system.

An ITS (Intelligent Tutoring System) on the WWW (World Wide Web)

In this paper, we integrate an Intelligent Tutoring System (ITS) with World Wide Web (WWW) technology, investigate the benefits and limits of the WWW-based ITS, and study technical problems in system development and their solutions.

Development of an online handwritten character recognition module on WWW client and its implementation in a WWW-based intelligent tutoring system

Interfaces for handwritten inputs are expected to be useful as means by which a student can use natural handwritten inputs in an intelligent tutoring system. Intelligent tutoring systems operating on the WWW have been developed with the input interfaces of the mouse and keyboard. The authors have developed HandChaRM-WWW, which is a module performing handwritten character recognition on the WWW. The module is written in Java and installed on a WWW client such that no communication delay occurs during character recognition. The characters recognized are limited to numbers, operators, the equal sign, and the like, and handwritten character recognition is realized by extracting characters with high speed and high accuracy. WWW FRONTIER has been developed by implementing HandChaRM-WWW on an intelligent CAI system which guides fractional calculations. WWW FRONTIER is a drill-type intelligent tutoring system which responds to a student by giving a fractional adding or subtracting problem. A student can input a fractional equation on the WWW in handwritten form. A handwritten character recognition rate of 93% has been obtained in evaluation experiments, which constitutes a practical level. The architecture of HandChaRM-WWW is considered to be effective in intelligent tutoring systems for other domains which have characters as targets of recognition.

Development of a Field Work Type Topographical Map Experiential Learning Support System

We have developed a field work type topographical map learning support system using mobile terminals. Our system is a field work type system that learners move around a set up multiple check points. They enable to learn topographical map at each check point. Features are points which learners can answer characteristic quizzes according to check points about a topographical map on places. Moreover, learners can receive advices from teachers and find situations of other learners by server communication. We expect these motivate learners.

Data Mining for Navigation Generating System with Unorganized Web Resources

Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent itemsets (sets of common words) into topics, produce a hierarchical list, and then generate topics sequence from a collection of documents. The framework will regenerate a next sequence when users click a topic. Consider browsing to any topic as a kind of searching for that topic, the framework makes an inquiry using feature terms within the document representation of selected topic as query keywords. Our ranking method in searching process considers content analysis that still retaining spatial information of search keywords and link analysis of documents. Utilizing implementation of navigation generating system the experiments show that a navigation list from clustering results can be settled with regard to variance ratio of between and within distances. Agglomerative clustering is used in restructuring the extracted topics in order to produce a hierarchical navigation list.

A Java based on-line handwriting interface for an Intelligent Algebraic Calculation Tutoring System

This paper describes our on-line handwriting mathematical expression input interface for our Intelligent Algebraic Calculation Tutoring System (ACTS). It consists of a Java-based client, which receives users handwriting input and displays output, and a C-based server, which recognizes hand-written symbols. Our interface provides simple and easy mathematical expression input environment. Its distinctive features are automatic stroke segmentation based on spatial relationship and time intervals of consecutive strokes, symbol recognition based on DDCPM (Directional and Direction-Change Pattern Matching) method and function buttons that help users input and correction. Our experiment results show that the recognition rate is 79 % for 91 kinds of symbols and 90 % for 34 kinds of restricted ones for our target domain.