The jacobian matrix-based learning machine in student

Yi Zeng Hsieh; Mu Chun Su; Yu Lin Jeng

doi:10.1007/978-3-319-71084-6_55

The jacobian matrix-based learning machine in student

Yi Zeng Hsieh, Mu Chun Su, Yu Lin Jeng

資訊工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

3 引文斯高帕斯（Scopus）

摘要

The student learning performance is analyzed that we adopted the proposed Jacobian Matrix-based Learning Machine (JMLM). It is significant for establishing prediction machine learning model for student learning performance and these tool can help teacher to analyze the student data not difficult to analyze. Correct rate of our model is 87% and 86% better than traditional machine learning models.

原文	???core.languages.en_GB???
主出版物標題	Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers
編輯	Tien-Chi Huang, Rynson Lau, Yueh-Min Huang, Marc Spaniol, Chun-Hung Yuen
發行者	Springer Verlag
頁面	469-474
頁數	6
ISBN（列印）	9783319710839
DOIs	https://doi.org/10.1007/978-3-319-71084-6_55
出版狀態	已出版 - 2017
事件	2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017 - Cape Town, South Africa 持續時間: 20 9月 2017 → 22 9月 2017

出版系列

名字	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	10676 LNCS
ISSN（列印）	0302-9743
ISSN（電子）	1611-3349

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???event.eventtypes.event.conference???	2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017
國家/地區	South Africa
城市	Cape Town
期間	20/09/17 → 22/09/17

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10.1007/978-3-319-71084-6_55

視障人士的智慧夥伴(1/3)
Wang, W.-J. (PI)
1/11/16 → 31/10/17
研究計畫: Research

引用此

Hsieh, Y. Z., Su, M. C., & Jeng, Y. L. (2017). The jacobian matrix-based learning machine in student. 於 T.-C. Huang, R. Lau, Y.-M. Huang, M. Spaniol, & C.-H. Yuen (編輯), Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers (頁 469-474). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 10676 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-71084-6_55

Hsieh, Yi Zeng ; Su, Mu Chun ; Jeng, Yu Lin. / The jacobian matrix-based learning machine in student. Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. 編輯 / Tien-Chi Huang ; Rynson Lau ; Yueh-Min Huang ; Marc Spaniol ; Chun-Hung Yuen. Springer Verlag, 2017. 頁 469-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Hsieh, YZ, Su, MC & Jeng, YL 2017, The jacobian matrix-based learning machine in student. 於 T-C Huang, R Lau, Y-M Huang, M Spaniol & C-H Yuen (編輯), Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 10676 LNCS, Springer Verlag, 頁 469-474, 2nd International Symposium on Emerging Technologies for Education, SETE 2017, held in Conjunction with the 16th International Conference on Web-based learning, ICWL 2017, Cape Town, South Africa, 20/09/17. https://doi.org/10.1007/978-3-319-71084-6_55

The jacobian matrix-based learning machine in student. / Hsieh, Yi Zeng; Su, Mu Chun; Jeng, Yu Lin.
Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. 編輯 / Tien-Chi Huang; Rynson Lau; Yueh-Min Huang; Marc Spaniol; Chun-Hung Yuen. Springer Verlag, 2017. p. 469-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 10676 LNCS).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

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AB - The student learning performance is analyzed that we adopted the proposed Jacobian Matrix-based Learning Machine (JMLM). It is significant for establishing prediction machine learning model for student learning performance and these tool can help teacher to analyze the student data not difficult to analyze. Correct rate of our model is 87% and 86% better than traditional machine learning models.

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KW - Structure based methods

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Hsieh YZ, Su MC, Jeng YL. The jacobian matrix-based learning machine in student. 於 Huang TC, Lau R, Huang YM, Spaniol M, Yuen CH, 編輯, Emerging Technologies for Education - 2nd International Symposium, SETE 2017, Held in Conjunction with ICWL 2017, Revised Selected Papers. Springer Verlag. 2017. p. 469-474. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-71084-6_55

The jacobian matrix-based learning machine in student

摘要

出版系列

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指紋

專案

視障人士的智慧夥伴(1/3)

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