英単語学習を長期的に継続するための適応型学習システムの開発 - 2023年電子情報通信学会総合大会

2023年電子情報通信学会総合大会にて発表した際に用いたスライド
リンク：https://imlab.jp/cgi-bin/publication_public.cgi?func=show_detail&id=1906&search_year_b=2023&search_year_e=2023&lang=ja

Transcript

1. Andrew W. Vargo
2. 2 • • • • • •
3. 3 • • • • • •
4. • • • • • 4
5. • [ ] • [ ] • • • 5 [ 1 ] C. A. Walkington, Using adaptive learning technologies to personalize instruction to student interests: The impact of relevant contexts on performance and learning outcomes, Journal of Educational Psychology, vol. 1 05 , no. 4 , pp. 932 945 , 2 013 . [2], : , , A. Vargo, . Vocabulometer . , 2022-CLE- 36 , pp. 1 8 . , 2022.
6. 2 6
8. 8 1 8 9 20 21
9. 9 • • •
10. 10 • • • • • •
11. Hwang [ ] 11 • • 
 • 
 • [3], : G.-J. Hwang, H.-Y. Sung, S.-C. Chang, and X.- C. Huang, A fuzzy expert system-based adaptive learning approach to improving students learning performances by considering a ff ective and cognitive factors, Computers and Education: Arti fi cial Intelligence, vol. 1 , p. 1000 03 , 202 0 .
12. 12 • • • • • •
13. • 13
15. 15 • 1 • 
 • Random Forest 2 Random Forest k k + 1
16. 16 No. 1 2 3 4 5 6 7 - 9 (k, k- 1 , k- 2 ) 1 0 1 1 - 19 (x, y, z) ( , , ) 1 2 0 - 28 (pitch, roll, yaw) ( , , ) 1 2 9 - 37 (x, y, z) ( , , ) 1 3 8 - 46 (x, y, z) ( , , ) 1 4 7 - 49 k (month, day, hour) 1 5 0 Hz 1 Sequential Backward Selection
17. 17 • • 14 • 12 2 22.5±1.3 • TOEIC 6 1 5 . 7 ± 148 . 9 2 • iPhone 3 • Amazon ¥3,000 ¥6,000 2 3 iPhone iPhone
18. 18 • • • 1 2 3 4 5 6 4
19. 19 • • • [ , ] • ROC Area Under the Curve (AUC) • leave-one-participant-out [ 3 ] G.-J. Hwang, H.-Y. Sung, S.-C. Chang, and X.- C. Huang, A fuzzy expert system-based adaptive learning approach to improving students learning performances by considering a ff ective and cognitive factors, Computers and Education: Arti fi cial Intelligence, vol. 1 , p. 1000 03 , 202 0 . [ 4 ] Mihaela Cocea and Stephan Weibelzahl, Can log fi les analysis estimate learners level of motivation? In LWA, pp. 32 3 5 , 2 00 6 .
20. ROC AUC 20 • ROC AUC • 0.8 11 • 0.9 8 •
21. 21 • 14 12 • • • • p = 0.043 < 0.05 ROC AUC
23. 23 • • • • • • 
 w w
24. 24 • • • • • •
25. 25 • • • • •
26. Andrew W. Vargo
28. 28 • • = ∑ i∈N ci ri (N : , ci : i , ri : i )
29. Random Forest 29 • • 300 • 10 •
30. 30 • pitch, roll, yaw • pitch: x • roll: y • yaw: z • 50Hz : https://developer.apple.com/documentation/coremotion/getting_processed_device-motion_data/understanding_reference_frames_and_device_attitude
31. ROC 31 • 
 • AUC
32. Random Forest
33. • Sequential Backward Selection 33 No. 1 2 3 4 5 6 7 - 9 (k, k- 1 , k- 2 ) 10 11 - 19 (x, y, z) ( , , ) 1 20 - 28 (pitch, roll, yaw) ( , , ) 1 29 - 37 (x, y, z) ( , , ) 1 38 - 46 (x, y, z) ( , , ) 1 47 - 49 k (month, day, hour)