Delivering Sensing Technologies for Education and Learning-Reference-Cited by-同舟云学术

Delivering Sensing Technologies for Education and Learning

Published:2022-09-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing
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Author:

Vargo Andrew¹^ORCID,Abou-Khalil Victoria²^ORCID,Ishimaru Shoya³^ORCID,Tag Benjamin⁴^ORCID,Hutin Mathilde⁵^ORCID,Dengel Andreas⁶^ORCID,Devillers Laurence⁷^ORCID,Kise Koichi¹

Affiliation:

1. Graduate School of Informatics, Osaka Metropolitan University, Japan

2. ETH Zurich, Switzerland

3. German Research Center for Artificial Intelligence (DFKI), Germany and University of Kaiserslautern, Germany

4. School of Computing and Information Systems, University of Melbourne, Australia

5. LISN-CNRS, France

6. Smart Data & Knowledge Services, German Research Center for Artificial Intelligence (DFKI), Germany and Knowledge Based Systems, University of Kaiserslautern, Germany

7. Paris-Sorbonne University, France and LISN-CNRS, France

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544793.3560373

Reference20 articles.

1. Viewing Student Affect and Learning through Classroom Observation and Physical Sensors

2. SubMe

3. Identification of Reader Specific Difficult Words by Analyzing Eye Gaze and Document Content

4. Riku Higashimura Andrew Vargo Motoi Iwata and Koichi Kise. 2022. Helping Mobile Learners Know Unknown Words through their Reading Behavior | Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. https://dl.acm.org/doi/abs/10.1145/3491101.3519620 Riku Higashimura Andrew Vargo Motoi Iwata and Koichi Kise. 2022. Helping Mobile Learners Know Unknown Words through their Reading Behavior | Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. https://dl.acm.org/doi/abs/10.1145/3491101.3519620

5. Shoya Ishimaru Kensuke Hoshika Kai Kunze Koichi Kise and Andreas Dengel. 2017. Towards reading trackers in the wild: detecting reading activities by EOG glasses and deep neural networks. (2017) 704-711. https://doi.org/10.1145/3123024.3129271 10.1145/3123024.3129271

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