"As an Instructional Designer with subject-matter expertise in English as a second language (ESL), I have seen firsthand the challenges nonnative English speakers face in corporate learning. Many training programs are designed for native English speakers. Complex vocabulary, unfamiliar cultural references, and the effort of processing content in a second language can leave learners confused, disengaged, or uncertain about how to apply what they have learned."
"Training methods that rely on long manuals, dense presentations, or purely instructor-led sessions often fail to meet the needs of ESL learners. ESL employees can struggle to grasp content, become disengaged, and take longer to reach full proficiency in their roles. To address these challenges, I focus on integrating scaffolding and chunking strategies, enhanced through Artificial Intelligence (AI), to make learning more accessible, adaptive, and effective."
Non-native English speakers in corporate training face barriers from complex vocabulary, cultural references, and the cognitive load of processing content in a second language. Traditional training—long manuals, dense presentations, and solely instructor-led sessions—often leaves ESL learners confused, disengaged, and slower to reach role proficiency. Scaffolding and chunking strategies reduce this barrier by layering support, building on prior knowledge, and gradually removing assistance as competence grows. Scaffolding aligns with Vygotsky's zone of proximal development, treating learning as an active, social process built through guided experience. Incorporating AI can enhance scaffolding by making supports adaptive, personalized, and more accessible.
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