Academic Journal
Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment
| العنوان: | Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment |
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| المؤلفون: | Roberto Suson, Nadine May Atibing, Samantha Shane Evangelista, Charldy Wenceslao, Fatima Maturan, Rica Villarosa, Lanndon Ocampo |
| المصدر: | Applied Artificial Intelligence, Vol 38, Iss 1 (2024) |
| بيانات النشر: | Taylor & Francis Group, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Electronic computers. Computer science LCC:Cybernetics |
| مصطلحات موضوعية: | Electronic computers. Computer science, QA75.5-76.95, Cybernetics, Q300-390 |
| الوصف: | As social platforms experience an influx of diverse content from users, the need to determine high-quality contributions becomes crucial, especially for educational purposes. This paper highlights the pivotal role of quality in assessing how educational-purposed user-generated content (UGC) shapes user experiences, fosters engagement, and establishes credibility. This study proposes a computational framework using a quasi-experimental evaluation through the sorting-based ELimination Et Choice TRanslating Reality, termed ELECTRE-SORT, with a dataset randomly generated from normally distributed user evaluations. Considering the diverse nature of contents, the method evaluates 16 educational-purposed UGC videos from different online media platforms (i.e. Facebook, YouTube, TikTok). These videos were categorized based on their concordance and discordance to three (3) main criteria: content quality, design quality, and technology quality. Employing the ELECTRE-SORT reveals that most UGC videos (i.e. 14 out of 16) fall into the “medium quality” category, possessing a considerable standard for the quality of educational purpose content. Their characteristics generally satisfy the quality attributes and can be used to guide the development of future relevant UGC videos. Finally, to demonstrate the robustness of the proposed approach, we presented a sensitivity analysis by designing different weight assignments to the quality attributes. Practical insights are outlined in this work. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 08839514 1087-6545 0883-9514 |
| Relation: | https://doaj.org/toc/0883-9514; https://doaj.org/toc/1087-6545 |
| DOI: | 10.1080/08839514.2024.2389501 |
| URL الوصول: | https://doaj.org/article/5d7864ff1f7546a4a2806990e05748e7 |
| رقم الانضمام: | edsdoj.5d7864ff1f7546a4a2806990e05748e7 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 08839514 10876545 |
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| DOI: | 10.1080/08839514.2024.2389501 |