At Learnlyland, we believe in the power of personalization to transform every user’s educational experience. That’s why our educational apps, Code Land and Code Teens, are designed to adapt to the needs, interests, and learning pace of every child and teenager.
How do we personalize learning?
Machine Learning and Data Analysis
In our applications, we use advanced machine learning models to analyze how users interact with activities. These tools allow us to:
Recommend personalized activities
Each user receives activities tailored to their level and learning pace based on their progress and previous results.
Identify areas for improvement
The system detects areas where the user needs more practice and dynamically adjusts the content.
Propose next steps
After each activity or level, the system suggests new challenges specifically designed to motivate the user to keep learning.
Collection of Relevant Data
From the very beginning, we gather key information about the user (such as age, initial skills, and goals) to configure a customized experience.
For Code Land, we focus on introducing young children to programming with an accessible and motivating environment.
With Code Teens, we work with teenagers, tailoring activities that introduce more advanced concepts such as computational logic and code design.
Smart Onboarding
During the onboarding process, both the adult and the child complete a brief setup that defines:
- Learning objectives.
- Preferred usage time.
- Initial level through interactive activities.
Ongoing Monitoring and Feedback
Reports for adults: Periodic summaries of the user’s progress are sent, comparing their performance to other users to provide additional context.
Dashboards for educators: In educational settings, teachers have access to dashboards where they can analyze the progress of the entire class, identifying patterns and common areas for improvement.
Benefits of Personalized Learning
Increased motivation and engagement
By receiving activities suited to their level, users feel they are progressing steadily, which enhances their interest and active participation.
More efficient progress
With content designed to address individual needs, every minute of learning is maximized.
Reduced frustration
Personalization ensures that users avoid facing overly difficult challenges or activities that lack stimulation, maintaining a balanced and enjoyable learning experience.
Ease for adults
Reports and dashboards help parents and teachers better understand the learning journey and make informed decisions to support the user.
Sustainable and balanced learning
With features such as reminders to take breaks and configurable time limits, we promote healthy and responsible technology use.
A Future Built on Research
Our commitment to personalized learning doesn’t stop here. At Learnlyland, we continue exploring new ways to leverage technology to enrich the educational experience across all our apps.
Some of our current research areas include:
Expanding machine learning to other applications
We are working to integrate personalization capabilities into our new app, Mathland, and other future educational tools, adapting the experience to the learning of math skills and beyond.
Advanced personalization
We aim to personalize not only the content but also the learning environment, positive reinforcement methods, and motivational dynamics, so every user feels supported according to their specific needs.
Improved AI-driven assessment systems
We strive to optimize initial and progressive diagnostic tests using artificial intelligence to more accurately identify strengths and areas for improvement, making evaluations faster, more precise, and effective.
Through these advancements, we aim not only to make learning more effective but also to turn it into a more accessible, inclusive, and engaging experience for everyone.
