1. 1 Vocabulary Building Support system by Converting Web pages Hiroki Yoshioka, Taro Yabuki and Hiroshi Sakuta Department of Integrated Information Technology, College of Science and Engineering, Aoyama Gakuin University {yabuki,sakuta}@it.aoyama.ac.jp, yoshioka@idea.it.aoyama.ac.jp

2. About AGU 135 Years Tradition Education based on Christianity Top-Ranking Private University Comprehensive Educational Institution

3. Ranking Brand & Popularity Stylish / Sophisticated1st Popularity3rd Attractive Curriculum4th Recognition4th Ranking by Subjects Liberal Arts / Humanities5th Foreign Language / International Studies 5th Social Studies6th Economic / Business Studies9th Resource: Recruit’s University Brand Survey 2009 Data: Kawaijuku Educational Institution 2010, Ranked among 595 Japanese Private Universities AGU has a Strong Brand Competitiveness in Japan &

4. At a Glance As of May 2009 Student Body: 19,993 - undergraduate: 18,527 - postgraduate: 1,466 - international students: 294Faculties’ Members: 456Administration Staff: 324Career Support Centre Staff: 15

5. Location Located in the heart of Tokyo 125-year-old Traditional Campus Forefront Area of Fashion & Culture Aoyama Campus Humanities & Social Science: 3rd ~ 4th Year School of Cultural Creative Studies: 2nd ~ 4th Year Located in the outskirts of Tokyo Great Research Environment Latest Facilities (Opened in 2003) Sagamihara Campus Science and Engineering / Social Informatics: ALL Humanities & Social Science: 1st ~ 2nd Year School of Cultural Creative Studies: 1st Year

6. International Partnerships Aoyama Gakuin University has 72 partner universities in the world. (Americas: 29, Europe:19, Asia Pacific: 24) A member of educational consortium, ACUCA （ Association of Christian Universities and Colleges in Asia) and IAMSCU （ International Association of Methodist Schools, Colleges & Universities ）

7. Academics Undergraduate College of Literature (English / French / Japanese / History)College of Economics Faculty of LawSchool of BusinessSchool of International Politics, Economics and Communication School of Cultural Creative StudiesCollege of Science and EngineeringSchool of Social InformaticsCollege of Education, Psychology and Human Studies

8. Academics Graduate School Graduate School of Literature (English / French / Japanese / History) Graduate School of Education, Psychology and Human Studies Graduate School of Economics Graduate School of LawGraduate School of BusinessGraduate School of International Politics, Economics and CommunicationGraduate School of Cultural Creative StudiesGraduate School of Science and EngineeringGraduate School of Social InformaticsAoyama Business School (MBA)Law SchoolGraduate School of Professional Accountancy

10. Self Learning Solution Diversified specialized fields>less teachers Knowledge base for advanced courses Step for Terminology in every field>share knowledge for communication Test/Quiz based evaluation system Web-based system Large amount of problem set Automatic generation of sophisticated problems

13. 13 Conventional on line Systems in Japan for Vocabulary Building of English P-Study System http://www.takke.jp/http://cocet.code.u-air.ac.jp/index.html

14. 14 Disadvantage of conventional systems １． Load of problem editors 2 ． No practical system for context-oriented self learning system Sent by system Sent by hardcopies Response Edit Problems

15. 15 Specifications for supposed system Required system specifications  Automatic generating facility for problem set  Problems inferring meaning of target words from context Fundamental technology  Converting arbitrary Web contents into Fill-in-the- blank question for users

16. Word List Application Server Database Web Page converted in Fill-in-the-blank question Internet Learner Select Word Set Automatic Scoring Compile Learning Results Feedback from Learning History

17. 17 Example for multi lingual style

18. 18 Generation of target word set Target word set Word List Assign target words Learning History Forgetting function by Ebbinghaus Collected by users or teachers Select for a step

19. 19 Forgetting curve by Ebbinghaus By Wikipedia: http://en.wikipedia.org/wiki/Forgetting_curve

20. 20 Conclusions  Automatic generation of problems, grading and feedback to learners reducing loads of working by teachers  Implementation of context-based learning for vocabulary building  Practical use of Web contents for learning  Expected applications for other languages and fields