Plario Adaptive Learning System
Challenge
Our goal was to develop a smart adaptive learning system in a six months period that would meet the following requirements: Stable and maintainable Easy to scale Easy to extend with new services Smooth continuous delivery process Logging, monitoring and alerts features Expected number of users: 10,000
Solution
To achieve the goals, the following technology stack was chosen: ■ Docker as the microservices containerizing solution ■ Kubernetes orchestration platform ■ Rancher 2.0 orchestration management tool ■ GitLab CI/C ■ JMeter as a load testing tool ■ ElasticSearch/Kibana for logging ■ Prometheus/Graphana for monitoring Тhe Product Plario.ru is a matching online course that helps high school students and college freshmen bridge their gaps in basic math skills. Simple diagnostics of initial mastery level Personalized learning trajectories based on the current skills Real-time progress tracking Algebraic expressions conversion Trigonometry Logarithm Rational equations and inequations Irrational equations and inequations Functions FeaturesRational equations and inequations Irrational equations and inequations Functions The platform is an EdTech startup that involves active participation of the Tomsk State University scholars. The educational content was created by skilled mathematicians with the help of special content graining technologies by ENBISYS. The assessment and adaptive learning algorithms are based on an ontology of interconnected basic math skills, some graphs comprising 54 units. The student's math level is tested in just 24 diagnostic problems. Adaptivity Having to deal with an enormous amount of analytics and algorithms, we applied Machine Learning and genetic algorithms, Bayesian Knowledge Tracing (BKT), hidden Markov processes. BKT allows real-time assessment of the mastery level and creation of a dynamic personalized learning track.
Results
Test results among university freshmen show dramatic increase in performance
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