top of page

Create global training with AI and personalized learning

In today's globalized world, crafting eLearning programs that resonate with an international audience is more crucial than ever. This lesson dives into strategies and technologies that empower instructional designers to meet this challenge. From designing personalized learning environments that reflect the unique language, localization, and content needs of learners across different regions, to leveraging AI and human expertise for translating and localizing text-based content, the lesson offers a roadmap for creating global learning experiences. It emphasizes the importance of multilingual voiceovers and chatbots in enhancing learner engagement and support, underlining the synergy between technology and human insight to produce content that is not just understood but felt across cultural divides. Furthermore, it explores the integration of cross-cultural collaboration platforms, highlighting their role in post-training support.

Through this lesson, you will explore five methods for improving global learning programs through personalized learning and AI technology.

1. Design personalized learning that reflects learners' language, localization, and content needs

When rolling out a global eLearning program, designers need to not only deliver content in the learners' languages but they also often need to customize that content to meet regional needs. For instance, while the program may teach overarching concepts, the scenarios, guidelines or policies that support those concepts may be unique to each region.

This dual need underscores the importance of creating personalized learning experiences that can dynamically adjust to meet the diverse requirements of a global audience. In this context, personalized learning isn't just about pacing or learning paths; it's also about cultural and linguistic inclusivity, ensuring that every learner, regardless of their location, feels the course was designed with their specific needs in mind.

To achieve this, designers can leverage platforms like Gomo Learning, which is adept at creating multilingual and multilocation specific content. By designing a course that includes slide layers dedicated to each language and region, designers can allow learners the flexibility to select their preferred language and/or location at the beginning of the course or at any point during their learning journey. This approach ensures that learners are not only receiving instruction in their native language but are also presented with content that is relevant to their cultural, brand, and / or regulatory context.

Furthermore, the personalization of content based on language and location selection requires a thoughtful design strategy that considers the diverse cultural nuances and legal frameworks across regions. Instructional designers must conduct thorough research and possibly collaborate with local experts to ensure the accuracy and relevance of the region-specific content. This might involve creating different versions of scenarios that resonate with the daily experiences of learners in each region, or adapting guidelines to align with local laws and cultural practices. The end goal is to create a seamless learning experience where transitions between languages and regional content are fluid, and learners feel a sense of belonging and engagement with the course material.

Implementing personalized learning for global programs not only elevates the learning experience for individuals worldwide but also showcases an organization's commitment to diversity, equity, and inclusion. It's a testament to recognizing and valuing the unique perspectives and needs of a global workforce, leading to more effective training outcomes and a stronger, more culturally aware organization. This approach not only meets the logistical challenge of language and region specificity but also fosters a learning environment where every participant, regardless of their geographical location, feels valued and understood.

2. Use AI and human experts to translate and localize text-based content

Modern instructional designers often find themselves navigating the intriguing intersection of technology and human expertise. When crafting learning for a global audience, designers can automate the initial heavy lifting by using AI translation tools like Google Translate and DeepL. These tools translate content swiftly across multiple languages - but keep in mind that is just the starting line.

Now, enter the real game-changer: localization. Translators and localization experts need review and refine what AI created to fine-tune the content and ensure it resonates with the local culture, norms, and yes, even humor. It's about making sure the content doesn't just make sense but also makes a connection. Think of it as tailoring a suit; AI gets it off the rack, but human experts make sure it fits perfectly.

The bottom line here is about creating a synergy between technology and human expertise. Designers should start with AI because it's efficient and can handle the volume. But to ensure the content genuinely lands with impact, rely on the discerning eye (and ear) of humans. It's this blend of speed and sensitivity that ensures our learning materials aren't just accessible worldwide but are genuinely engaging and relevant. Remember, the goal isn't just to translate; it's to transform educational content in a way that it feels homegrown in every region it reaches. That's how designers achieve not just global reach but also global resonance.

3. Use AI and human experts to generate and refine multilingual voiceovers

Creating voiceovers in multiple language is another opportunity for designers to automate the process with AI, followed by a thorough expert review by humans who not only speak the learners' language but also understand their culture and unique content needs.

First, generate voiceovers using AI-powered tools like Amazon Polly or Google Text-to-Speech, which serve as the initial craftsmen, converting text into a wide array of spoken languages. This technological leap allows content to be accessible in a multilingual format rapidly, laying down the foundation for a global learning experience. These tools, with their ever-improving algorithms, can mimic human speech patterns and emotions more closely than ever before, offering a solid starting point for voiceovers in various languages. It's like having a digital polyglot at your disposal, ready to bring written words to life across the globe.

However, the essence of truly impactful voiceovers lies in the subtleties and nuances that only a human can provide. After AI has done its part, the role of native language experts becomes crucial. They step in to review and refine the AI-generated voiceovers, ensuring that each word is pronounced with the correct intonation, emotion, and cultural sensitivity. This human touch transforms the initially mechanical output into engaging and authentic voiceovers that can connect with learners on a deeper level. It's a collaborative process where technology meets artistry, ensuring that the voiceovers are not just linguistically accurate but also emotionally resonant and culturally appropriate. Instructional designers work closely with these experts, leveraging their insights to fine-tune the audio content, making adjustments that enhance clarity, engagement, and learner comprehension.

4. Integrate multilingual chatbots for support

Integrating multilingual chatbots for learner support transforms eLearning platforms into hubs of instant, accessible assistance, transcending language barriers with ease. These AI-driven assistants, powered by platforms such as Dialogflow by Google and IBM Watson Assistant, offer the capability to interact in a wide range of languages. Picture a learner grappling with complex course material late at night, far from live instructor help. Through tools like Dialogflow, a chatbot can step in to provide clarifications, suggest resources, or guide through the material in the learner’s native language. This immediate, personalized support not only enriches the learning experience but also fosters a nurturing environment where every learner, irrespective of their location or language, feels supported and valued.

The sophistication behind these chatbots lies in their use of advanced natural language processing (NLP) technologies. Dialogflow and IBM Watson Assistant, for instance, leverage extensive datasets and machine learning to understand queries in multiple languages, discern the user’s intent, and respond with contextually relevant and linguistically precise answers. This AI capability is continually enhanced through real-world interactions, enabling the chatbots to improve their accuracy and efficiency over time. The integration of such tools into eLearning platforms means that instructional designers can offer a seamless, interactive support system that adapts to the diverse linguistic needs of global learners, making education more inclusive and accessible.

However, the efficiency of multilingual chatbots isn't solely reliant on AI; human oversight plays a critical role in ensuring their success. Regular monitoring and updates by language experts and instructional designers are crucial to maintain the chatbots’ accuracy, cultural sensitivity, and alignment with the latest educational content. By utilizing AI chatbots, and combining them with human expertise, instructional designers create a dynamic, empathetic support system. This system not only addresses the practical challenge of providing round-the-clock assistance but also embodies a commitment to creating an equitable learning experience for all, highlighting the power of technology and human collaboration in breaking down learning barriers.

5. Offer cross-cultural collaboration platforms

Instructional designers are acutely aware that learning doesn't wrap up as soon as the learner flips over the last page of an eLearning course or sails through the final assessment. The real test begins when they step into the real world, trying to apply new skills and knowledge. To bridge this gap and provide effective post-training performance support, especially for global, multicultural learners, collaboration platforms like Microsoft Teams become invaluable. These platforms not only facilitate ongoing learning and knowledge sharing but also ensure that learners have access to immediate support and resources in their native languages, thanks to features like real-time message translation.

The translation feature in Microsoft Teams is particularly beneficial for maintaining clear communication among team members from diverse linguistic backgrounds. Learners can activate this feature themselves with just a few clicks; by hovering over a message, clicking on the three dots for more options, and selecting "Translate," they instantly break down language barriers. This autonomy in managing language preferences ensures that learners remain engaged and can access support in a language they're comfortable with. It's crucial for designers to guide learners on utilizing these features effectively, perhaps through a quick tutorial or a handy guide included at the end of the course.

Moreover, instructional designers and administrators play a crucial role in fostering an inclusive and supportive learning ecosystem through these platforms. By initially setting up and encouraging the use of Microsoft Teams' translate feature, they not only promote a culture of inclusivity but also empower learners to navigate their post-training journey with confidence. Collecting feedback on the utility and user-friendliness of these features can further enhance the support system, ensuring that learners have all they need to apply their learning in diverse workplace scenarios. Thus, collaboration platforms, equipped with language support features, become a cornerstone of effective post-training support, helping learners transition smoothly from theory to practice in a global, multicultural context.

Summary and next steps

Designers can offer a great user experience to global learners by incorporating personalized learning, which tailors content to the diverse needs and cultural contexts of learners worldwide. Furthermore, the strategic integration of AI alongside human expertise streamlines the development process, with AI swiftly handling initial content translation and localization, while human insight refines this content to ensure cultural and idiomatic accuracy. This synergistic approach not only expedites the creation of multilingual learning materials but also ensures they are deeply engaging, culturally resonant, and of the highest quality. By marrying the efficiency of AI with the nuanced understanding of human experts, designers can deliver comprehensive, adaptive, and impactful eLearning experiences to a global audience, effectively meeting the diverse educational needs of learners across different regions.

Last but not least, if you need to hire a translation vendor to help you achieve these goals, first review this lesson: "Ask 11 questions to vet translation vendors."


bottom of page