logo logo


Progressive web technology-based improvement of the distance learning adaptive system

НазваProgressive web technology-based improvement of the distance learning adaptive system
Назва англійськоюProgressive web technology-based improvement of the distance learning adaptive system
АвториMykola Pikuliak, Ihor Lazarovych, Maksym Usyk
ПринадлежністьVasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine
Бібліографічний описProgressive web technology-based improvement of the distance learning adaptive system / Mykola Pikuliak, Ihor Lazarovych, Maksym Usyk // Scientific Journal of TNTU. — Tern.: TNTU, 2022. — Vol 105. — No 1. — P. 118–127.
Bibliographic description:Pikuliak M., Lazarovych I., Usyk M. (2022) Progressive web technology-based improvement of the distance learning adaptive system. Scientific Journal of TNTU (Tern.), vol 105, no 1, pp. 118–127.
DOI: https://doi.org/10.33108/visnyk_tntu2022.01.118
УДК

004.416.3

Ключові слова

distance learning system, adaptive learning, PWA technology, information unit, multiset method.

An analysis of the well-known distance education systems was made, which allowed us to highlight their advantages and disadvantages and identify some ways to improve the program by adding adaptive functionality and interactivity, aimed at improving the educational process quality. An interface for working with the system for different groups of users (students, teachers, developers) has been developed whose use allows you to download study materials and test tasks conveniently, to edit and adapt some meaningful links between information sections (Units), to pass training and test control, to form final reports of success and recommendations for further learning steps. The multi-set method of assessing the level of study of content units was described and the adaptive functionality of forming the content of educational lectures for review or in-depth mastering of the theoretical content was presented, which allows taking into account the initial level of student knowledge and his/her abilities to acquire new skills. The software has been improved with a system based on PWA (Progressive web app) technology, which has allowed us to realize such advantages of web applications as speed, convenience, and attractiveness. A technology of text questions and correspondent information units connection was proposed which was based on the theory of multiple approach use which has provided us with the mathematical determination of the indices of the unmastered pieces of knowledge which generate the text part of the adaptive training step. Implementation of PWA technology was performed using the following software tools Service Worker, Web App Manifest, HTTPS, and Application Shell, which allowed to perform client caching offline, speeded up the process of downloading and displaying graphic elements of the web page, provided the use of the proposed resource as a regular mobile application. It has made it possible for easy access to the system to be obtained as well as the system resource use to be reduced.

ISSN:2522-4433
Перелік літератури
1. Ohliad suchasnoho stanu system dystantsiinoho navchannia. URL: https://lib.chmnu.edu.ua/pdf/naukpraci/ computer/2011/160-148-23.pdf (accessed: 06.06.2022). [In Ukrainian].
2. Osadcha K. P., Osadchyi V. V. Tekhnolohii dystantsiinoho navchannia. Robota z Moodle 2.4. Navchalnyi posibnyk. Melitopol: Vyd-vo MDPU im. B. Khmelnytskoho, 2014/ 396 p. [In Ukrainian].
Progressive web technology-based improvement of the distance learning adaptive system
126 ………. ISSN 2522-4433. Scientific Journal of the TNTU, No 1 (105), 2022 https://doi.org/10.33108/visnyk_tntu2022.01
3. Shkodzinskyi O. K., Voit S. O., Lutskiv M. M. Rozrobka navchalnykh kursiv u systemi ATutor: Metodychni vkazivky dlia vykladachiv (instruktoriv). Vydannia 2-he, vypravlene i dopovnene. Ternopil: TNTU, 2015, 60 p. [In Ukrainian].
4. Pikuliak М. Development of an adaptive module of the distance education system based on a hybrid neuro-fuzzy network: Proceedings of the 2020 IEEE Third International Conference on Data Stream Mining&Processing (DSMP). Lviv, Ukraine, August 21–25, 2020. P. 44–49.
5. Mammoth .docx to HTML converter. URL: https://github.com/mwilliamson/mammoth.js#readme (accessed: 22.04.2022).
6. Palamar A. Control system simulation by modular uninterruptible power supply unit with adaptive regulation function. Scientific Journal of TNTU (Tern.). Vol. 98. No. 2. 2020. P. 129–136. URL: https:// doi.org/10.33108/visnyk_tntu2020.02.129.
7. Pikuliak M. V. Zastosuvannia teorii multymnozhyn dlia formuvannia indyvidualnoho kvantovoho naboru navchalnoho kontentu. Matematychni mashyny i systemy. 2014. No. 3. P. 96–103. [In Ukrainian].
8. Blizard W. The Development of Multiset Theory, Notre Dame J. of Formal Logic. Vol. 30. No. 1. 1989. P. 36–66.
9. Introduction to Progressive Web Apps. URL: https://www.divante.com/pwabook/chapter/01-introduction-to-pwa-technology (accessed: 15.06.2022).
10. Service workers. URL: https://web.dev/learn/pwa/service-workers/ (accessed: 15.06.2022).
11. Web app manifests. URL: https://developer.mozilla.org/en-US/docs/Web/Manifest (accessed: 15.06.2022).
12. HTTPS. URL: https://developer.mozilla.org/en-US/docs/Glossary/https (accessed: 15.06.2022).
13. Instant Loading Web Apps with an Application Shell Architecture. URL: https://developer. chrome.com/blog/app-shell/ (accessed: 16.06.2022).
14. Zero-config PWA Framework-agnostic Plugin for Vite. URL: https://vite-plugin-pwa.netlify.app/ (accessed: 16.06.2022).
15. Workbox. URL: https://developer.chrome.com/docs/workbox/ (accessed: 21.06.2022).
16. Chrome DevTools. URL: https://developer.chrome.com/docs/devtools/ (accessed: 21.06.2022).
References:
1. Ohliad suchasnoho stanu system dystantsiinoho navchannia. URL: https://lib.chmnu.edu.ua/pdf/naukpraci/ computer/2011/160-148-23.pdf (accessed: 06.06.2022). [In Ukrainian].
2. Osadcha K. P., Osadchyi V. V. Tekhnolohii dystantsiinoho navchannia. Robota z Moodle 2.4. Navchalnyi posibnyk. Melitopol: Vyd-vo MDPU im. B. Khmelnytskoho, 2014/ 396 p. [In Ukrainian].
Progressive web technology-based improvement of the distance learning adaptive system
126 ………. ISSN 2522-4433. Scientific Journal of the TNTU, No 1 (105), 2022 https://doi.org/10.33108/visnyk_tntu2022.01
3. Shkodzinskyi O. K., Voit S. O., Lutskiv M. M. Rozrobka navchalnykh kursiv u systemi ATutor: Metodychni vkazivky dlia vykladachiv (instruktoriv). Vydannia 2-he, vypravlene i dopovnene. Ternopil: TNTU, 2015, 60 p. [In Ukrainian].
4. Pikuliak М. Development of an adaptive module of the distance education system based on a hybrid neuro-fuzzy network: Proceedings of the 2020 IEEE Third International Conference on Data Stream Mining&Processing (DSMP). Lviv, Ukraine, August 21–25, 2020. P. 44–49.
5. Mammoth .docx to HTML converter. URL: https://github.com/mwilliamson/mammoth.js#readme (accessed: 22.04.2022).
6. Palamar A. Control system simulation by modular uninterruptible power supply unit with adaptive regulation function. Scientific Journal of TNTU (Tern.). Vol. 98. No. 2. 2020. P. 129–136. URL: https:// doi.org/10.33108/visnyk_tntu2020.02.129.
7. Pikuliak M. V. Zastosuvannia teorii multymnozhyn dlia formuvannia indyvidualnoho kvantovoho naboru navchalnoho kontentu. Matematychni mashyny i systemy. 2014. No. 3. P. 96–103. [In Ukrainian].
8. Blizard W. The Development of Multiset Theory, Notre Dame J. of Formal Logic. Vol. 30. No. 1. 1989. P. 36–66.
9. Introduction to Progressive Web Apps. URL: https://www.divante.com/pwabook/chapter/01-introduction-to-pwa-technology (accessed: 15.06.2022).
10. Service workers. URL: https://web.dev/learn/pwa/service-workers/ (accessed: 15.06.2022).
11. Web app manifests. URL: https://developer.mozilla.org/en-US/docs/Web/Manifest (accessed: 15.06.2022).
12. HTTPS. URL: https://developer.mozilla.org/en-US/docs/Glossary/https (accessed: 15.06.2022).
13. Instant Loading Web Apps with an Application Shell Architecture. URL: https://developer. chrome.com/blog/app-shell/ (accessed: 16.06.2022).
14. Zero-config PWA Framework-agnostic Plugin for Vite. URL: https://vite-plugin-pwa.netlify.app/ (accessed: 16.06.2022).
15. Workbox. URL: https://developer.chrome.com/docs/workbox/ (accessed: 21.06.2022).
16. Chrome DevTools. URL: https://developer.chrome.com/docs/devtools/ (accessed: 21.06.2022).
Завантажити

Всі права захищено © 2019. Тернопільський національний технічний університет імені Івана Пулюя.