Artificial intelligence (AI) has emerged as a ubiquitous tool in language teaching (and in every area of life). It radically transforms the way languages are learned, but also how they are taught. However, its growth has also highlighted a number of challenges for AI in language teaching that require constant attention and the proactive attitude of professionals in the education sector.


Retos y desafíos de la IA en la enseñanza de idiomas en cursos online y presencial aulas


The reliability of AI systems used in language learning is crucial, as any errors or inaccuracies could have a significant impact on the learner’s understanding and progression. In addition, keeping student data private is a fundamental factor that must be rigorously safeguarded. It is vitally important that sensitive information is not compromised or used inappropriately so as not to damage the reputation of the school, academy, etc.

Student motivation is also a key element to consider, seeing as the introduction of AI into the classroom could change traditional teaching dynamics and, in some cases, challenge student participation and engagement. It is therefore imperative that educators carefully assess both the benefits and implications of integrating AI into everyday education, ensuring that they maximise its potential while effectively addressing the associated challenges.


The challenges of artificial intelligence

The integration of artificial intelligence in language teaching has created great potential to transform the way learners acquire language skills in and out of the classroom. However, this technological advance also poses a number of AI challenges that need to be addressed to ensure its effectiveness and benefits in education. These challenges range from personalising learning, to ensuring the privacy of student data, adapting to the educational context and real-time assessment. In this list, we will explore some of the main challenges facing artificial intelligence in language education, as well as possible strategies for overcoming them and making the most of its potential.

  • Reliability

Artificial intelligence technology is, as they say, just beginning. That is why teachers need to be attentive to its behaviour.

  • Personalisation of learning

The ability to establish teaching that is truly tailored to individual needs is a long-standing challenge in education. However, LMS platform technology, and now artificial intelligence, are getting closer to achieving this. Personalised reinforcement recommendations based on course performance or free practice to advance at the pace that each student needs are some of the examples of personalisation that artificial intelligence, together with an educational platform, can achieve.

  • Privacy

The challenge of privacy is one of the most critical aspects to consider in the application of artificial intelligence systems. This challenge stems from the need to protect users’ personal, sensitive data, as well as to ensure that algorithms do not perpetuate bias or discrimination in their responses and proposals.

  • Evaluation and feedback

In order for the exercises to be reliable, evaluation must contain appropriate, realistic metrics and provide feedback that is as close as possible to that provided by a human professional.

  • Integration with existing systems

Integrating this technology into existing systems is essential for a natural transition. In Dexway courses, artificial intelligence options such as virtual tutoring or feedback assessment of writing and speaking tasks are included in the courses. No add-ons or extra platforms that force teachers to learn how to use various systems.


Use of AI in language training platforms

In language training, there are already certain artificial intelligence functions that stand out as useful, and that every teacher should consider including in their classes. However, one should be aware of their potential challenges to ensure that they are used to improve language skills:

  • 24×7 virtual tutoring systems
  • Voice recognition
  • Automatic translation
  • Automatic evaluation with feedback (natural language)
  • Generation of customised content, such as chatbots or role-plays for freer practice

These examples demonstrate how AI is transforming online education and improving the learning experience for students and teachers.


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