Recent developments in AI shows the impact of language models on various disciplines. This will depend on how they are used and integrated into knowledge dissemination process.
ChatGPT has the potential to greatly impact English Language Teaching (ELT) by providing automated writing correction, conversational practice, personalized learning experiences, content generation
ChatGPT, as an advanced language generation model, has the potential to impact English Language Teaching (ELT) in several ways:
Raashid Nehal ,
I covered some of my analysis of the claim that ChaGPT is able to understand semantics in the thread:
https://www.researchgate.net/post/ChatGPT_and_beyond
While there is some experimental correlations, there is no link to causality that ChatGPT does understand semantics (this is based on the literature that I am aware of).
Now, the problem that I see with ChatGPT being used and relied upon to learn is the type of training done on these algorithms. In most training scenarios these types of algorithms (e.g. Bart, GPT, etc.) are trained with a small dataset that has been verified as reliable, then the algorithm is exposed to huge amounts of data and reinforcement learning is used (the engine is queried and told if its answer is correct or not). What I find problematic with this approach is that all the data is not verified for accuracy. It is expected that the law of large numbers applies and that wrong answers will disappear. This assumption is way too strong to assume for a learning tool on which students can rely on.
The above will lead to errors that will impact the adoption of such tools and modify the current adoption trend (including ELT). I think that the hype will eventually die out and the instances where it is useful will begin to rise. Until, then any measurement of impact is premature.
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