Education and artificial intelligence, once antagonistic, have gradually carved a path toward an unexpected convergence. A new era has emerged—one where AI, instead of replacing teachers, becomes their ally in optimizing learner success. At the heart of this educational revolution lies another subtle yet powerful protagonist: ludopedagogy.
This form of pedagogy aims to make learning as enjoyable as it is instructive. An American study reveals that the use of fun educational content increases retention capacity by 9%. It improves conceptual knowledge by 11% and keeps trainees motivated.
Thus, the combination of artificial intelligence with ludopedagogy gives rise to a new educational paradigm. Education no longer bears the burden of monotony. In this guide, we will explore various ways to make training offerings more playful and engaging by using artificial intelligence.
Why combine AI and ludopedagogy?
The combination of AI and ludopedagogy creates a powerful synergy in the field of education. These two approaches complement each other to offer more effective learning experiences.
AI allows for the adaptation of playful elements based on the preferences and needs of each learner, creating more attractive learning experiences. AI systems can track learners’ performance in playful activities and suggest adjustments to help them progress. AI enables the continuous iteration and improvement of playful activities based on data and feedback from learners.
Different ludopedagogical approaches using AI
There are various ludopedagogical approaches that utilize artificial intelligence to promote learning. Here are the most common ones:
Pedagogical gamification
Widely used in face-to-face learning centers, gamification involves integrating playful elements into teaching practices. In e-learning, the most common elements are:
- Leaderboards
- Point systems
- Badges and rewards
- Interactive simulations
This pedagogical method encourages learners to engage more deeply with the material and stay motivated. Gamification integrated into training devices also makes learning interactive. This approach helps learners better retain information and is increasingly adopted in professional training offerings.
Adaptive learning
This involves using AI algorithms to analyze user data and adjust the training content accordingly. With adaptive learning, trainers can provide personalized recommendations to each trainee based on their training goals. Adaptive learning can be applied in various ways within virtual training:
- Interactive questions
- Placement tests
- Personalized training paths
- Etc.
Didactic virtual reality
VR is also part of the digital tools based on AI used to design and facilitate training sessions. Its educational benefits are numerous, and it plays a crucial role in training design. It offers learners a simulated environment that faithfully replicates real-world scenarios related to the subject of study. VR is particularly useful for supporting learners in IT, project management, and customer service.
Beneficiaries can thus gain hands-on experience in a safe and controlled environment. This learning technology is advantageous in terms of costs, time savings, and efficiency. VR can take various forms to animate training sessions:
- Educational games
- Virtual tours
- Simulations
- Interactive storytelling
- Virtual laboratories
- Etc.
Augmented reality
Augmented reality (AR) is similar to virtual reality. The difference is that learners can interact with digital objects in their physical environment. The use of AR is common in e-learning training for technical professions.
AR allows for the addition of information, images, or videos in real-time within the training environment. It can also utilize AI to provide learners with real-time feedback on their performance. These smart training tools also allow for personalized instructions for each learner.
There are several ways to use these digital tools to support learners in their training journey, including:
- Flashcards or interactive cards
- Augmented reality games
- Educational outings
- Quizzes
- Educational videos
- Museum exhibitions
Intelligent tutoring systems
Intelligent tutoring systems (ITS) are a pedagogical innovation that uses artificial intelligence to help students acquire knowledge and skills. These tutoring software programs are designed by educational technology experts and rely on AI algorithms to provide personalized instruction tailored to each learner’s abilities. A pedagogical design that includes ITS enables:
- Tracking progress over time
- Identifying areas needing improvement
- Providing suggestions on the best way to proceed
- Generating personalized assessments based on user performance data collected during study sessions
Natural language processing
Natural language processing (NLP) is an artificial intelligence technique that enables computers to understand and respond to human languages. In a professional training or virtual classroom context, it can help trainees better understand concepts.
This ludopedagogical technology allows for a more natural interaction with educational resources. Learners are more likely to demonstrate long-term understanding through its practice. By applying NLP to distance learning, educators can better understand their students’ needs. This enables the training organization to personalize the learning experience and provide clearer and faster feedback to their community of learners.
Machine learning algorithms
Machine learning algorithms are instructions created by a team of IT experts and instructional designers. They help computers “learn” from data collected by sensors installed in classrooms.
These algorithms identify behavior patterns among students to personalize instruction. For instance, if a student is struggling, they can suggest alternative pedagogical methods or additional training materials. Moreover, these algorithms can detect students’ issues and enable teachers to adjust the course accordingly.
Automated grading systems
Automated grading systems are a true revolution in the field of training. These AI-based educational tools allow for faster and more objective assessment of learners’ skills. Furthermore, their innovative pedagogical format makes them particularly attractive to students, who can track their progress in real time.
This educational tool would also benefit students as they would receive quicker feedback on their performance. This would enable them to take corrective actions sooner than expected if they find themselves falling behind in class.
