Language learning is an essential skill in our globalized world. Although many language resources and tools are available, users often feel overwhelmed and unmotivated to keep learning. There are several reasons why people give up on language learning, but the most common reasons are: lack of motivation, emotional blockers and excessive focus on grammar.
Online apps make language learning significantly more accessible and communication oriented. With the help of AI, we can provide solutions to the above challenges and make the learning process more enjoyable and productive.
Integrating AI tools into language learning apps has many benefits, including immediate feedback and immediate correction of mistakes, elimination of “fear of failure”, tailored learning, gamification (facilitating motivation and competitiveness), and the ability to learn at their own pace. The most popular language learning apps in the world are Duolingo, Memrise, Busuu, and Rosetta Stone. AI integration relies on chatbots that can send text messages to students, algorithms trained to understand the context and real-time interaction. Additionally, these apps can use AI to learn from the users and improve their speech recognition algorithms. They use benchmarks such as references from native speaker voices to flag pronunciation errors. Another vivid example of AI in language learning apps is the use of tests to determine a learner's language level.
Memrise's uniqueness lies in its real-time computer vision system. This tool allows users to take pictures of various objects and the correct identifying word in a particular language. On the other hand, Busuu launched VR integration for Spanish learning, and a proficiency test for Amazon's Alexa platform.
Nevertheless, the use of artificial intelligence in language learning apps is still overlooked.
The recent findings after testing the most common language learning apps are quite astonishing: some apps so not incorporate AI! Basically, they all just used predefined algorithms, no deep learning or machine learning. Traces of AI can be seen in speech recognition and pronunciation tests, but very few apps exploit the full potential of AI.
Therefore, it seems that the integration of artificial intelligence into these apps is very limited, often gimmicky, with a lot of missed potential. Without its benefits, language e-learning will become unsustainable and uncompetitive, risking holding back the entire education system.