How AI is reshaping the training landscape: impacts and prospects

You know us for our expertise in pedagogical engineering and technical services for OpenSource platforms. But like many others in recent months, we are also involved in projects involving artificial intelligence (AI) in the field of training.

What are the stakes and what concrete developments can we already observe in terms of AI in training? What prospects do we have for the future? What is Pimenko working on?

We answer some of these questions.

The integration of AI into training is helping to improve and even transform training at various levels. Among the issues that have come up most often in recent months are :

1. Automating administrative tasks: here, AI aims to free trainers and learners from repetitive tasks, enabling them to focus on what’s essential: learning.
2. Personalized learning: thanks to data analysis, AI brings new possibilities for adapting learning content and pace to the specific needs of each learner.
3. Increased accessibility and inclusiveness: AI tools can transform content into different formats, offering new tools to make training more accessible to all.
4. Maintaining learner autonomy: it is crucial to ensure that AI enhances the autonomous learning capacity of individuals, rather than replacing it.
5. Ethics and data protection: the use of AI raises important questions about the confidentiality and security of learners’ data.

In concrete terms, many AI-related innovations are already being implemented or tested in the world of training. Among the uses that seem to us to be the most successful today, we would like to mention :

• AI assistants for planning, abstract creation and administrative management of training courses.
• Automatic generation of educational content, such as quizzes or activities based on existing resources.
• Real-time assessment tools that provide immediate feedback to learners. The role of evaluation in training also raises vast questions about the level and manner in which this type of assistant can be effectively integrated into training.
• Chatbots and virtual assistants for technical and pedagogical support for learners and teaching teams.
• Content transformation technologies to convert text into video or podcasts, for example.

At Pimenko, we have incorporated some of these innovations into our training solutions. We also worked on the chatbots part of the service, providing specific, customized assistance. Our aim is to be able to offer complementary solutions to those that may already exist. This is why our Moodle LMS platforms can integrate an AI assistant capable of interacting with only the content of a course, so that learners can ask questions, find specific parts of a course, quickly locate a source or precise information present in the course content.

Imagining the future of training is no easy task, and the opinions of people working in the world of technology vary widely: for some it’s just another speculative bubble, while others conjure up a world controlled by AI.

Beyond these debates that mix economic questioning and science fiction, there’s pretty little doubt that AI will help transform the training sector. It will take time, for LLMs to continue improving, perhaps even models or assistants designed specifically for the training field. Without wishing to speculate, there are a number of areas in which AI offers exciting prospects and opportunities for training improvements.

1. AI as a personal learning coach: imagine an AI assistant that accompanies you throughout your life, knows your goals, strengths and weaknesses, and guides you in your personal and professional development.
2. Extensive integration into LMSs : platforms like Moodle could become true intelligent learning ecosystems, capable of interacting naturally with learners and trainers.
3. Immersive simulations and learning environments: AI could create ultra-realistic training scenarios, enabling learners to practice in conditions close to the real thing.
4. Human-IA collaboration in instructional design: trainers and instructional designers will work hand-in-hand with AI to create more relevant and engaging learning experiences.

Integrating AI into training opens up fascinating prospects, but also raises important ethical questions. At Pimenko, we believe in an approach that takes into account the mastery of its data and is human-centered, with AI at the service of learning and not an end in itself.

AI has the potential to democratize access to quality education, personalize learning to an unprecedented level and unleash the creative potential of learners and trainers. However, it is our collective responsibility to shape this future ethically and thoughtfully.

As we move into this new era of AI-enhanced learning, it’s time for everyone in the sector – trainers, learners, developers, institutions – to engage with this thinking and help build a future of learning that is innovative, inclusive and deeply human.

1. Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting And Social Change, 199, 123076. https://doi.org/10.1016/j.techfore.2023.123076
   An article from ScienceDirect examining the various applications of AI in education and their effectiveness.
2. Martin Dougiamas and the Moodle Research Lab: A vision for the future of learning, embracing AI and open technologies. Moodle. https://moodle.com/fr/news/news-moodle-podcast-episode-4-martin-dougiamas/
   In this episode of the Moodle Podcast, Martin Dougiamas focuses on the potential of AI to improve teaching and learning, and the importance of maintaining an open ecosystem of tools and resources to support the new “golden age of learning.