Yoshiyuki Tabata

Recommendation of Helpers Based on Personal Connections in Mobile Learning

In this paper, we propose a system based on hypothesis that when we ask for help from others, 1) the closer people are, the more easy it is to get help, 2) the more simple things are easier to get help with. We carried out a survey to examine the hypothesis. The results show that this hypothesis is correct. Based on this hypothesis, we proposed a social networking service site based on a mobile environment called SENSMILE, which supports learners to find a partner who can solve their problems at the online community, and an appropriate request chain of friends will be recommended upon their request by utilizing personal relationships. The system also supports for collaborative learning by using location based sensing information.

An iPhone quiz system for learning foreign languages

As an information mobile device, a mobile phone is an essential tool for students daily life, and it can be used even in a short period of free time and anywhere such as in a train or in a bus. We propose an iPhone quiz system for learning foreign languages. This paper presents the design and the implementation of this system.

An Automated Method to Generate e-Learning Quizzes from Online Language Learner Writing

In this paper, the entries of Lang-8, which is a Social Networking Site SNS site for learning and practicing foreign languages, were analyzed and found to contain similar rates of errors for most error categories reported in previous research. These similarly rated errors were then processed using an algorithm to determine corrections suggested by a native speaker. Subject matter experts then evaluated the processed sentences to determine the quality in relation to use in tests or exams for language learners. The method describes the automatic generation of multiple choice and fill-in-the-blanks quizzes using the writings of language learners on public web based learning sites, in order to support learner reflection on corrections and practicing past errors to overcome problems.

Research trends with cross tabulation search engine

To help researchers in building a knowledge foundation of their research fields which could be a time-consuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purp ...

A “Milky Way Research Trend” System for Survey of Scientific Literature

Research trend survey is an essential preliminary step for any academic researches, but many beginning researchers have difficulty because they are still foreign to appropriate keywords in his/her research field. We constructed a support system for research trend surveys not only to accelerate the preliminary step but also to let students have a better grips of trend progresses and keyword transitions. Our system assumes a fair amount of data accumulation, for which we employed KAKEN database excerpts, but does not assume manual keyword registration or any other heuristic preprocesses: with an associative search module, it dynamically searches relevant words that are frequently used in the targeted academic field and gives users effective visualizations to understand trend transitions. Preliminary evaluations suggest that the trend transitions that our system presents are effective for trend surveys.

A Language Exchange SNS in Ubiquitous Environment

In this paper, we propose a SNS (Social Networking Service) based ubiquitous environment for learning foreign languages called SONLUE. Learners use the SONLUE service to find a partner who can solve the language learning problems at the online community and an appropriate request chain of friends will be recommended upon their request. The learner can practice his second language with a native speaker who is learning his language. It allows members to interact and expand the network of friendship. This paper describes the design and the implementation of the system.

Design a Context Awareness System for Japanese Language Learning in Ubiquitous Computing Environment

Understanding linguistic culture is indispensable to learn foreign language. In Japanese language learning, polite expressions are related to Japanese culture closely, we proposed to design a context-awareness ubiquitous learning environment for Japanese polite expressions learning. In this paper we will address how we designed this environment for supporting the collaborative learning according to the feature of the Japanese polite expressions, and present the implementation and evaluation of the environment.

A Collaborative Learning Service for SNS in Ubiquitous Computing Environment

In this paper, we propose a SNS-based collaborative learning service in ubiquitous environment. The point is it supports the learner to get help from the other SNS members, at the end makes them help each other. The service allowed the users use the service to search the person, who can solve the problem, and an appropriate request chain of friends (CF) will be advanced, upon their request, and then the learner contacts the helper for help tracing the CF. This paper describes the design and the implementation of the service.

A "milky way research trend" system for survey of scientific literature

Research trend survey is an essential preliminary step for any academic researches, but many beginning researchers have difficulty because they are still foreign to appropriate keywords in his/her research field. We constructed a support system for research trend surveys not only to accelerate the preliminary step but also to let students have a better grips of trend progresses and keyword transitions. Our system assumes a fair amount of data accumulation, for which we employed KAKEN database excerpts, but does not assume manual keyword registration or any other heuristic preprocesses: with an associative search module, it dynamically searches relevant words that are frequently used in the targeted academic field and gives users effective visualizations to understand trend transitions. Preliminary evaluations suggest that the trend transitions that our system presents are effective for trend surveys.

Modified Differential Evolution for Tension/Compression String Design Problem

This paper introduces a modified differential evoluiton method to solve the tension/compression string design problem. The modification is derived from mechanisms of social networks. In the proposed method, each individual will be attracted by the knowed best individual following the connectivity between each other. The connectivity is calculated based on the difference of the variables in each vector. The individuals with high connectivity tend to perform local search while those with poor connectivity tend to perform global search instead. The approach was employed for a tension/compression string design problem and by comparisons with the other evolutionary algorithms, the proposed method privided better resutls.