This statement is correct as it relates to AI, generally; however, it assumes that AI exists as THE entity that students directly interact with. There are many potential expressions of AI, including a human-in-the-loop approach, in which it is configured in such as way as to facilitate dialogs and interactions between people, either studentteacher or studentstudent.

For example, we’re building an L2 language speaking practice app (Language Hero Smart Chat). We use AI to enable beginning students, who speak different languages, to have natural, real life conversations in each other’s language from Day 1. They speak directly to each other, interacting with the system only to select from multiple content choices suggested by it, designed to facilitate a real free-ranging dialog resulting in real bonding, to the extent it’s possible, rather than to practice a particular lexical structure (they can also text or go off the grid to have pure video chat).

Teachers can use this system as well for group chat. They can upload their own curriculum as well (the Smart Chat system configures it as multiple vector (branching script) chat or merges it with the system curriculum (focused on real life useful topics like travel, food, shopping, social chat, expressing ideas, etc.). Everything they say is comprehensible to their students, and so are all student responses.

When such a system is implemented in a manner that pays particular attention to the affective components that make human interaction so effective for creating the desire to learn (and corresponding openness to processing L2 content, in this case), we think it can be a more effective tool than bot chat.