Artificial intelligence is gaining ground in many fields and elearning is certainly no exception. In general, artificial intelligence can be used to improve the functions and efficiency of LMS solutions. In particular, when talking about elearning and LMS, there are several improvements that AI can make, such as:

  • Helping personalize learning;
  • Helping generate new content;
  • Helping the user translate the content;
  • Improving content accessibility;
  • Providing real-time assistance;
  • Facilitating suggestions and automatic task control


Targeted and personalized learning


One of the key areas in which AI shines is targeted, personalized and tailored learning. Through sophisticated algorithms, artificial intelligence can analyze the performance and behavior of individual learners through rapid and continuous analysis of their performance data. AI can determine when and how each employee should learn, assessing their learning needs through past performance and identifying current and projected skill gaps. Furthermore, AI can significantly contribute to the design of tailor-made learning paths. This shift from one-size-fits-all training to personalized learning experiences improves engagement and knowledge retention, thereby increasing the overall effectiveness of training programs.

Creation of new content


Artificial intelligence is already being used to get answers using existing online learning resources. In the near future, AI will be applied to help generate the contents of elearning courses, facilitating the work of teachers.

AI can automatically sift through content that isn't applicable to a learner's journey, selecting only the most relevant and engaging content.

Content translation


By using artificial intelligence in the development of LMS software, the learner can access the material in the language of her choice, because AI can automatically translate the content of learning objects and tests.

Content accessibility


An effective AI-based authoring tool allows you to more easily transform content to be compatible with both Android and Apple while remaining perfectly formatted, which is essential for effective training delivery.

Furthermore, AI can play a key role in training employees with disabilities. Artificial intelligence can be used to convert spoken language into transcription, thus helping people with hearing impairments to easily understand the topic of a discussion.

Real-time assistance


Furthermore, AI-based technologies, such as chatbots and virtual assistants, can open the door to previously unknown learning paths, especially to support on-demand training needs. These digital companions/assistants can provide immediate answers to any questions, guide the learner through complex processes and offer real-time feedback. This not only reduces the burden on human trainers and other resources, but also ensures consistent and accurate dissemination of information, improving the quality of the learning experience.

Automatic task control and intelligent reporting


AI-powered LMSs provide users with the ability for 'intelligent' monitoring and reporting. Especially at the company level, as we know, in-depth data and reports are essential for observing the areas of strength of learners/employees and those that need improvement. Thanks to AI it is possible to analyze statistics such as completion rates, correct answers, and effective modules for the continuous improvement of course materials.

Incorporating the best online assessment platform can significantly enhance this process, allowing for more precise evaluations of learner performance. This ensures that training programs are effectively meeting their goals and adapting to the needs of the learners.

Furthermore, thanks to AI, it could be possible to eliminate contact forms, because the learner could find the answer to questions such as: . “where are my certificates”, “why can't I access the next content”.

Conclusion


Although there is still a long way to go, Forma LMS is also preparing to include AI elements in its next versions.  In particular

  • Generation of tests to be imported into the platform;
  • Generation of correctly formatted html pages with content requested by the AI. The contents created in this way could complement/replace the current contact form; answers to questions like “Where are my certificates?”, “Why can't I access the next content?” etc. could be provided by AI;
  • Generations of content recommended for the user.