Research trends with cross tabulation search engine

Chengjiu Yin, Sachio Hirokawa, Jane Yin Kim Yau, Kiyota Hashimoto, Yoshiyuki Tabata, Tetsuya Nakatoh

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)


To help researchers in building a knowledge foundation of their research fields which could be a timeconsuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers, research groups, keywords), and also 3) providing analytical information relating to past and current research trends in a particular field. Their CTSE system employs data-processing technologies and emphasizes the use of a "Learn by Searching" learning strategy to support students to analyze such research trends. To show the effectiveness of CTSE, a pilot experiment has been conducted, where participants were assigned to do research survey tasks and then answer a questionnaire regarding the effectiveness and usability of the system. The results showed that the system has been helpful to students in conducting research surveys, and the research trend transitions that our system presented were effective for producing research trend surveys. Moreover, the results showed that most students had favorable attitudes toward the usage and usability of the system, and those students were satisfied in gaining more know ledge in a particular research field in a short period.

Original languageEnglish
Pages (from-to)31-44
Number of pages14
JournalInternational Journal of Distance Education Technologies
Issue number1
Publication statusPublished - Jan 2013

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications
  • Computer Networks and Communications


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