Who would have guessed that, by November 2022, AI chatbots could carry out complex language tasks like professionals? My first contact with this technology was an experiment at the OpenAI Playground in early 2022. This is an interactive web-based platform where users can experiment with OpenAI’s language models. I played around with a version of what later became ChatGPT 3.5, Text-Davinci-003. I created a job interview dialogue for some training material I was working on. It felt like a sci-fi moment! I was astonished by the results and immediately realized that this technology would be a game changer for the future.
As we all know, ChatGPT 3.5 took the world by storm in November 2022. By January 2023, only a few months after its launch, it had already gained 100 million users, becoming the fastest-growing app in history. OpenAI’s later models, including Chat GPT 4, have revolutionized language-related activities. These tools have revolutionized the IT sector, with many other apps jumping on the bandwagon, incorporating generative AI into their software ecosystems. Microsoft, for instance, integrates ChatGPT into tools like Word and Excel (via Copilot), automating tasks like drafting, summaries, and data analysis.
This widespread adoption has sparked concern among professionals: Will AI threaten my job? In this post, I will explore whether generative AI will replace the language trainer.
The Role of AI in Language Training
Let’s start by discussing what AI tools can and can’t do in language training. Generative AI is very good at creating content such as reading texts, listening dialogues, practice exercises like gap fill, and also language production tasks like role plays. Trainers can use AI to generate content that would have previously required extensive research, especially for specialized topics. However, the process still requires the collaboration of humans and machines. A trainer must craft the prompts to obtain quality content from AI. More importantly, the trainer’s role in analyzing learners’ needs and refining AI-generated output remains crucial. In my experience, the technology is not advanced enough to function effectively without human oversight. The main advantage is the productivity gain and the massive time savings that AI can bring about.
The future of language training may see trainers leveraging AI to shift away from relying solely on standard coursebooks, focusing instead on self-made customized learning experiences. This is already a major disruptive force in the industry as trainers are increasing the amount of customized materials. ChatGPT is exceptionally good at structured tasks, assessing writing, grammar correction, and vocabulary development. However, since AI is not good at emotional intelligence and creative thought, it struggles to replicate human judgment and expertise. For this reason, language trainers are still needed for creative language production. In my opinion, it is impossible to replace the activation/production phase of language training.
AI in Language Learning Apps
AI can also take over specific roles in language apps. For instance, AI-powered assessment tools can evaluate learners and adjust lessons to their skill level, a development that could revolutionize self-paced learning. Apps like Duolingo already incorporate AI to enhance user experience. Yet, even as AI becomes more sophisticated, there are limitations. The final stage of learning, where learners activate what they have learned in real-world communication, still requires human interaction. Although AI tools like ChatGPT can handle highly structured elements of self-paced learning and offer valuable feedback, they lack the emotional intelligence and cultural awareness needed to engage in open-ended conversations. These are areas where trainers have a clear advantage. AI chatbots have been used to drill language in very structured scenarios with fixed parameters, for example, booking a hotel room etc., but in my opinion, AI cannot fully replace human interaction in free-flowing dialogue. This is especially relevant for learners who want to develop language skills above the B1 plateau. It will be possible for learners to reach B1 with self-paced apps, but they are unlikely to gain the level of fluency needed to use the language for work-related tasks. This will remain the goal of trainer-led solutions.
The Future: AI as a Complementary Tool
Rather than viewing AI as a replacement, it’s better to see it as a complementary tool. AI can handle repetitive tasks, provide practice materials, and offer assessments, freeing up trainers to focus on more complex communication tasks. ChatGPT’s ability to deliver personalized responses and real-time feedback can significantly aid trainers. However, its limitations in understanding cultural nuances in communication prove that we cannot reply to it for everything. It is important not to allow AI to take away your voice, and create content that all looks the same.
The future of language learning is likely to follow a combined approach, where AI takes care of structured and repetitive tasks, whereas trainers guide students through creative, emotionally rich communication. This hybrid model, where technology and human expertise work together, will likely shape the future of education.
My final verdict is that although AI has already transformed language learning, it is unlikely to replace language trainers entirely. Not yet anyhow!
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