Improving learning experience through process re-engineering

Khan Academy localization into Azerbaijani

Bibliographic Data

ID22161897
AuthorsAyaz Karimov (0000-0001-8868-4408, University of Jyväskylä, corresponding author), Alexander Nolte (0000-0003-1255-824X, Eindhoven University of Technology), Irene-Angelica Chounta (0000-0001-9159-0664, University of Duisburg-Essen), Mirka Saarela (0000-0002-1559-154X, University of Jyväskylä), Tommi Kärkkäinen (0000-0003-0327-1167, University of Jyväskylä)
Year2025
Volume9
Publication date2025-01-30
Open AccessYes
TypeARTICLE
VenueFrontiers in Education (JOURNAL)
Journal identifiersISSN: 2504-284X • E-ISSN: 2504-284X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/feduc.2024.1419362
OpenAlexW4406990707
LanguageEN
References cited31

The localization of online educational platforms brings many benefits to the students and teachers such as access to different types of textual and video content. Nonetheless, it demands time and capital resources to localize any content. The aim of this research was to re-engineer the entire localization process of Khan Academy content into the Azerbaijani language and evaluate its impact on users’ learning experience. For this purpose, we implemented process re-engineering’s cycle of successive steps. Additionally, we carried out a survey to investigate the new localization process’s effect on users’ learning experience. Our study found that making the localization process more efficient decreased the time and resources needed. Additionally, this improved process positively affected how users experienced learning on the platform

Engineering education · Engineering management · Mathematics education · Business Process Modeling and Analysis · Computer Science · E-Learning and Knowledge Management · Engineering · Engineering Education and Curriculum Development · Psychology

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Open DOIOpen Access