Overview
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This is an instructional design research on translation strategies and advantages that generative AI introduces to localize eLearning.
Purpose
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I conducted this research to analyze the current and future state of translating and localizing eLearning. The research focuses on how generative AI simplifies creating localized e-learning that is adaptable, scalable, software agnostic, automatic, and cost-effective for companies with a global workforce. Instructional designers and trainers using manual, neural machine translation, or XLIFF can benefit from adopting an AI-based no-code interface that translates and localizes text and documents using style guides, tone, and voice to produce a more accurate translation.
Process
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My process included reviewing existing scholarly research on the topic and attending a webinar with a company leading in using generative AI to translate and localize eLearning material. I also explored effective strategies using Google Neural Machine Translation and Microsoft Azure Language Studio. My research also included the following:
A concept map
A survey
Sample size
Qualitative and Quantitative data analysis
Ethical considerations
Tools
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- Rise 360
- Adobe Illustrator
- Word
- Google Forms
- Google Scholar