Virtual Dialogue Assistant for Remote Exams
A Virtual Dialogue Assistant (VDA) is an automated system intended to provide support for conducting tests and examinations in the context of distant education platforms. Online Distance Learning (ODL) has proven to be a critical part of education systems across the world, particularly during the CO...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/9/18/2229 |
| _version_ | 1797518282758029312 |
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| author | Anton Matveev Olesia Makhnytkina Yuri Matveev Aleksei Svischev Polina Korobova Alexandr Rybin Artem Akulov |
| author_facet | Anton Matveev Olesia Makhnytkina Yuri Matveev Aleksei Svischev Polina Korobova Alexandr Rybin Artem Akulov |
| author_sort | Anton Matveev |
| collection | DOAJ |
| description | A Virtual Dialogue Assistant (VDA) is an automated system intended to provide support for conducting tests and examinations in the context of distant education platforms. Online Distance Learning (ODL) has proven to be a critical part of education systems across the world, particularly during the COVID-19 pandemic. While the core components of ODL are sufficiently researched and developed to become mainstream, there is still a demand for various aspects of traditional classroom learning to be implemented or improved to match the expectations for modern ODL systems. In this work, we take a look at the evaluation of students’ performance. Various forms of testing are often present in ODL systems; however, modern Natural Language Processing (NLP) techniques provide new opportunities to improve this aspect of ODL. In this paper, we present an overview of VDA intended for integration with online education platforms to enhance the process of evaluation of students’ performance. We propose an architecture of such a system, review challenges and solutions for building it, and present examples of solutions for several NLP problems and ways to integrate them into the system. The principal challenge for ODL is accessibility; therefore, proposing an enhancement for ODL systems, we formulate the problem from the point of view of a user interacting with it. In conclusion, we affirm that relying on the advancements in NLP and Machine Learning, the approach we suggest can provide an enhanced experience of evaluation of students’ performance for modern ODL platforms. |
| first_indexed | 2024-03-10T07:27:41Z |
| format | Article |
| id | doaj.art-0f3eb2c1001840f09a50d42d95349823 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T07:27:41Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-0f3eb2c1001840f09a50d42d953498232023-11-22T14:05:15ZengMDPI AGMathematics2227-73902021-09-01918222910.3390/math9182229Virtual Dialogue Assistant for Remote ExamsAnton Matveev0Olesia Makhnytkina1Yuri Matveev2Aleksei Svischev3Polina Korobova4Alexandr Rybin5Artem Akulov6Information Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaInformation Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaInformation Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaInformation Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaInformation Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaInformation Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaInformation Technologies and Programming Faculty, ITMO University, 197101 Saint Petersburg, RussiaA Virtual Dialogue Assistant (VDA) is an automated system intended to provide support for conducting tests and examinations in the context of distant education platforms. Online Distance Learning (ODL) has proven to be a critical part of education systems across the world, particularly during the COVID-19 pandemic. While the core components of ODL are sufficiently researched and developed to become mainstream, there is still a demand for various aspects of traditional classroom learning to be implemented or improved to match the expectations for modern ODL systems. In this work, we take a look at the evaluation of students’ performance. Various forms of testing are often present in ODL systems; however, modern Natural Language Processing (NLP) techniques provide new opportunities to improve this aspect of ODL. In this paper, we present an overview of VDA intended for integration with online education platforms to enhance the process of evaluation of students’ performance. We propose an architecture of such a system, review challenges and solutions for building it, and present examples of solutions for several NLP problems and ways to integrate them into the system. The principal challenge for ODL is accessibility; therefore, proposing an enhancement for ODL systems, we formulate the problem from the point of view of a user interacting with it. In conclusion, we affirm that relying on the advancements in NLP and Machine Learning, the approach we suggest can provide an enhanced experience of evaluation of students’ performance for modern ODL platforms.https://www.mdpi.com/2227-7390/9/18/2229virtual dialogue assistantnatural language processingmachine learningonline distance learning |
| spellingShingle | Anton Matveev Olesia Makhnytkina Yuri Matveev Aleksei Svischev Polina Korobova Alexandr Rybin Artem Akulov Virtual Dialogue Assistant for Remote Exams Mathematics virtual dialogue assistant natural language processing machine learning online distance learning |
| title | Virtual Dialogue Assistant for Remote Exams |
| title_full | Virtual Dialogue Assistant for Remote Exams |
| title_fullStr | Virtual Dialogue Assistant for Remote Exams |
| title_full_unstemmed | Virtual Dialogue Assistant for Remote Exams |
| title_short | Virtual Dialogue Assistant for Remote Exams |
| title_sort | virtual dialogue assistant for remote exams |
| topic | virtual dialogue assistant natural language processing machine learning online distance learning |
| url | https://www.mdpi.com/2227-7390/9/18/2229 |
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