Language-learning has changed tremendously over the past 50 years, and with the advent of VR and natural language processing technology, it is changing exponentially faster.

In the early 60s computer-systems, like PLATO, employed a "drill and kill" approach to teaching. Then Noam Chomsky came and people started being more interactive and using more immersed methods.

But when we think about language-learning and technology, what teaches better? Computer or man? Let's explore this topic.

A common application of computer-based learning is Anki and Memrise, which use repetition algorithms. However, as this study shows, many words that have no root meaning are forgotten through repetition at a very fast rate.

Duolingo, Rosetta Stone, are alternatives which use sentence-structure algorithms. However, these programs regularly fail to bring someone past a beginner's level.

As this graph shows, immersive styles of learning are best for learning. Online text-chat immersion already exists as discord servers host hundreds of language learning communities for online chat and Italki and Verbling offering instant video-tutoring.

But there is still the question of how far AI can reach up with us and teach more than we know.

An example of this is the Mitsuku bot, which can detect emotional biases in chat or the sarcasm detector which can say if something is not sarcastic with 83% accuracy. There are even AI novels, which use current weather, location, and ambience that craft stories to read. Natural language processing is advancing at a fast rate, with the complexities growing more and more.

Clearly, a bot that can track word memory-associations, entertain any conversation, with the Internet at its disposal, is the perfect tool for bettering one's ability to learn and converse.

As this graph shows, robot teachers have a significant effect on the motivation of learners. In an experiment showing the differences between human and robot teachers teaching how to rebuild a block structure, robots were only 43% less effective at teaching the students.

Overall, visionaries are working on new language-teaching methods, inspired by topics I have mentioned. For the future, one can only dream about the extent by which one will learn to express themself.