Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm

研究成果: Conference contribution

抄録

To improve the efficiency of teaching and learning, it is substantially important to know learners’ mental states during their learning processes. In this study, we tried to extract the relationships between the learner’s mental states and the learner’s physiological information complemented by the teacher’s speech acts using machine learning. The results of the system simulation showed that the system could estimate the learner’s mental states in high accuracy. Based on the construction of the system, we further discussed the concept of IMS and the necessary future work for IMS development.

元の言語English
ホスト出版物のタイトルIntelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings
編集者Maiga Chang, Andre Coy, Yugo Hayashi
出版者Springer-Verlag
ページ63-71
ページ数9
ISBN(印刷物)9783030222437
DOI
出版物ステータスPublished - 2019 1 1
イベント15th International Conference on Intelligent Tutoring Systems, ITS 2019 - Kingston, Jamaica
継続期間: 2019 6 32019 6 7

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11528 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference15th International Conference on Intelligent Tutoring Systems, ITS 2019
Jamaica
Kingston
期間19/6/319/6/7

Fingerprint

Network Algorithms
Learning systems
Teaching
Neural Networks
System Simulation
Learning Process
Estimate
Machine Learning
High Accuracy
Necessary
Deep neural networks
Concepts
Speech
Relationships
Learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Matsui, T., Tawatsuji, Y., Fang, S., & Uno, T. (2019). Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm. : M. Chang, A. Coy, & Y. Hayashi (版), Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings (pp. 63-71). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11528 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-22244-4_9

Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm. / Matsui, Tatsunori; Tawatsuji, Yoshimasa; Fang, Siyuan; Uno, Tatsuro.

Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings. 版 / Maiga Chang; Andre Coy; Yugo Hayashi. Springer-Verlag, 2019. p. 63-71 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 11528 LNCS).

研究成果: Conference contribution

Matsui, T, Tawatsuji, Y, Fang, S & Uno, T 2019, Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm. : M Chang, A Coy & Y Hayashi (版), Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 11528 LNCS, Springer-Verlag, pp. 63-71, 15th International Conference on Intelligent Tutoring Systems, ITS 2019, Kingston, Jamaica, 19/6/3. https://doi.org/10.1007/978-3-030-22244-4_9
Matsui T, Tawatsuji Y, Fang S, Uno T. Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm. : Chang M, Coy A, Hayashi Y, 編集者, Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings. Springer-Verlag. 2019. p. 63-71. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-22244-4_9
Matsui, Tatsunori ; Tawatsuji, Yoshimasa ; Fang, Siyuan ; Uno, Tatsuro. / Conceptualization of IMS that estimates learners’ mental states from learners’ physiological information using deep neural network algorithm. Intelligent Tutoring Systems - 15th International Conference, ITS 2019, Proceedings. 編集者 / Maiga Chang ; Andre Coy ; Yugo Hayashi. Springer-Verlag, 2019. pp. 63-71 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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