Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice
Engagement is an essential component of the learning processes associated with positive learning outcomes. Measuring learner engagement in learning processes is vital to providing insights for enhancing learning activities. Because the learning paradigm has shifted to enable more distance learning p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10438447/ |
| _version_ | 1797296354733588480 |
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| author | Shofiyati Nur Karimah Huy Phan Miftakhurrokhmat Shinobu Hasegawa |
| author_facet | Shofiyati Nur Karimah Huy Phan Miftakhurrokhmat Shinobu Hasegawa |
| author_sort | Shofiyati Nur Karimah |
| collection | DOAJ |
| description | Engagement is an essential component of the learning processes associated with positive learning outcomes. Measuring learner engagement in learning processes is vital to providing insights for enhancing learning activities. Because the learning paradigm has shifted to enable more distance learning practices, machine learning-based automatic engagement estimation methods have been proposed as a new way to measure learner engagement. Nevertheless, most existing methods are built standalone and have yet to be integrated into actual distance learning practice. Furthermore, implementing automatic engagement estimation should ensure technological and ethical impact responsibilities. This article proposes a design principle for the end-to-end integration of automatic engagement in distance learning practice. The MeetmEE system design was introduced to measure learners’ emotional engagement in a synchronous distance learning practice. The MeetmEE prototype was deployed in a pilot experiment to evaluate the MeetmEE system design. Finally, the user evaluation results are considered to construct the design principle of ethical implementation. The design principle for implementing the automatic engagement estimation incorporates technical and operational measures. |
| first_indexed | 2024-03-07T22:03:26Z |
| format | Article |
| id | doaj.art-a20360b1bc0043a8add2a11d4bfbc3b8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-07T22:03:26Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a20360b1bc0043a8add2a11d4bfbc3b82024-02-24T00:01:25ZengIEEEIEEE Access2169-35362024-01-0112255982561110.1109/ACCESS.2024.336655210438447Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning PracticeShofiyati Nur Karimah0https://orcid.org/0000-0002-5721-3205Huy Phan1https://orcid.org/0009-0007-3982-5279 Miftakhurrokhmat2https://orcid.org/0009-0000-2295-8808Shinobu Hasegawa3https://orcid.org/0000-0002-0892-9629Graduate School of Advanced Science, Japan Advanced Institute of Science and Technology (JAIST), Nomi, JapanDepartment of Information Technology Specialization, FPT University HCMC Campus, Ho Chi Minh, VietnamDepartment of Informatics, STMIK AMIKOM Surakarta, Surakarta, IndonesiaCenter for Innovative Distance Education and Research, Japan Advanced Institute of Science and Technology (JAIST), Nomi, JapanEngagement is an essential component of the learning processes associated with positive learning outcomes. Measuring learner engagement in learning processes is vital to providing insights for enhancing learning activities. Because the learning paradigm has shifted to enable more distance learning practices, machine learning-based automatic engagement estimation methods have been proposed as a new way to measure learner engagement. Nevertheless, most existing methods are built standalone and have yet to be integrated into actual distance learning practice. Furthermore, implementing automatic engagement estimation should ensure technological and ethical impact responsibilities. This article proposes a design principle for the end-to-end integration of automatic engagement in distance learning practice. The MeetmEE system design was introduced to measure learners’ emotional engagement in a synchronous distance learning practice. The MeetmEE prototype was deployed in a pilot experiment to evaluate the MeetmEE system design. Finally, the user evaluation results are considered to construct the design principle of ethical implementation. The design principle for implementing the automatic engagement estimation incorporates technical and operational measures.https://ieeexplore.ieee.org/document/10438447/Engagement estimationdistance learningdesign principlemachine learning methodemotional engagement |
| spellingShingle | Shofiyati Nur Karimah Huy Phan Miftakhurrokhmat Shinobu Hasegawa Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice IEEE Access Engagement estimation distance learning design principle machine learning method emotional engagement |
| title | Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice |
| title_full | Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice |
| title_fullStr | Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice |
| title_full_unstemmed | Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice |
| title_short | Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice |
| title_sort | design principle of an automatic engagement estimation system in a synchronous distance learning practice |
| topic | Engagement estimation distance learning design principle machine learning method emotional engagement |
| url | https://ieeexplore.ieee.org/document/10438447/ |
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