1. Using collaborative filtering to support college students’ use of online forum for English learning Pei-Yu Wang Reporter：黃詩哲

2. Outline 1.Introduction 2.Method 3.Conclusion

3. Introduction(1/4) • Collaborative filtering • Books • Movies • News articles

4. Introduction(2/4) • Proliferation of information • Information overload

5. Introduction(3/4) • Does the recommender improve students’ use of online forums for English learning? • Is there any difference in online behaviors between students who use a traditional forum and students who usea forum with a recommender?

6. Introduction(4/4) • Is there any difference in learning motivation between students who usea traditional forum and students who use a forum with a recommender? • Is there any difference in learningachievement between students who use a traditional forum and students who use a forum with a recommender?

7. Method(1/15) • Open-source softwareDrupal • PHP • Account registration • Maintenance • Menu management • RSS • Page layout

8. Method(2/15) • Top-N nearest neighbors • Users who browsed this node also browsed. • Recommended for you.

9. Method(3/15)

10. Method(4/15) • Participants • One hundred and forty-two freshman(n=142) • Experimental group(n=72) • Control group(n=70)

11. Method(5/15) • Data collection • Pre-test • Midterm exam • Final exam • Online survey • Weblog data

12. Method(6/15) • Comparison of mean posting frequency for each student

13. Method(7/15) • Comparison of mean replying frequency for each student.

14. Method(8/15) • Comparison of mean reading frequency for each post.

15. Method(9/15) • Comparison of student achievement performance.

16. Method(10/15) • Descriptive statistics for student perception to the recommender.

17. Method(11/15) • Open-ended response for student perception to the recommender.

18. Method(12/15) • Open-ended response for student perception to the recommender.

19. Method(13/15) • The recommender can be more personalized. For example, the recommender can let users set up their own criteria to rate articles. • The rating system could use stars (from one to five) or thumb-up icons to display the recommended posts.

20. Method(14/15) • Creating an explicit rating function to each post would improve utility. For example, students or instructors can vote or mark articles good in their opinion. • Connecting the recommended posts to Facebook was also suggested.

21. Method(15/15) • The instructor should present or discuss recommended articles in class to enhance student use of the forum.

22. Conclusion • Significantly enhance students’ reading frequency of forum articles. • Improve students’ summary writing ability. • This research was conducted in a shorteight week period.