92%
UP
Learning satisfaction
Each time a new service or product is launched, new training can be conducted after pre-evaluation, so training time can be reduced, and the effect of improving work performance for learners has begun to appear.Through this, we were able to quickly adapt to the advanced AI non-contact environment, and we are also paying attention to virtual AI teachers through meta-human.
Optimized algorithm quickly finds learning patterns and vulnerabilities
Through the 8-step algorithm of sentiment analysis, it is possible to find weak problems and areas through real-time diagnosis during learning, and to support the reinforcement of vulnerabilities through intensive learning.
Establish admission counseling channels such as admission and private institutes
When a new semester arrives, inquiries about admissions and new curriculum are pouring in, overloading the counseling work.
Convert services such as counseling on admission and entrance exams and level tests to chatbot and drastically reduce phone inquiries.
Attract learners' interest
By analyzing the learner's data, we can provide various interesting ideas and potential services that lead to more participation by linking the services provided by companies through appropriate level, concentration, evaluation items or problem-specific analysis.