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ORIGINAL RESEARCH article
Front. Educ.
Sec. Digital Education
Volume 9 - 2024 |
doi: 10.3389/feduc.2024.1419362
Improving learning experience through process re-engineering: Khan Academy localization into Azerbaijani
Provisionally accepted- 1 University of Jyväskylä, Jyväskylä, Central Finland, Finland
- 2 Eindhoven University of Technology, Eindhoven, Netherlands
- 3 Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
- 4 University of Duisburg-Essen, Duisburg, North Rhine-Westphalia, Germany
The research aligns well with the scope of Frontiers in Education, which aims to address global educational challenges and provide insights for improving educational outcomes. By focusing on re-engineering the localization process of Khan Academy content into Azerbaijani and evaluating its impact on user learning experience, the study contributes to understanding innovative approaches in educational technology and their effects on student engagement and access to quality education. Through the implementation of business process re-engineering principles, the research aims to optimize resources and enhance efficiency in content localization, which is crucial for expanding access to educational materials in diverse linguistic contexts. Additionally, by investigating the impact of the re-engineered process on user learning experience, the study provides valuable insights into the effectiveness of localization efforts in improving educational outcomes, thus contributing to the advancement
Keywords: Conceptualization, Data curation, Formal analysis, investigation, methodology, project administration, visualization, Writing -original draft
Received: 18 Apr 2024; Accepted: 20 Nov 2024.
Copyright: © 2024 Karimov, Nolte, Chounta, Saarela and Kärkkäinen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ayaz Karimov, University of Jyväskylä, Jyväskylä, 40014, Central Finland, Finland
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