We upgrade LMS platforms with AI-driven content suggestions, adapting learning content according to user activity, learning pace, and skill deficiencies to provide the appropriate content at the appropriate moment, enhancing engagement and productivity.
Our solutions implement adaptive testing within exam ERPs, dynamically shifting question difficulty depending on learner performance. This makes skill assessment more precise, decreases test anxiety, and builds a customized learning journey for every learner.
We automate grading by integrating AI-based evaluation tools with LMS, preventing manual work, ensuring scoring consistency, and delivering instant feedback. This enables instructors to spend more time on teaching while enhancing evaluation efficiency.
Our NLP-based automation inspects student answers in legacy LMS software with instant, context-specific feedback. This informs students about their errors, enhances recall, and helps instructors monitor progress better.
We embed AI-based sentiment analysis in CRM and ERP systems to measure student interest, detect problems, and give actionable insights. This method enables institutions to address gaps in learning early, enhance course material, and increase student satisfaction.
Our microlearning automation natively integrates with training platforms, breaking up content into bite-sized modules to enhance retention, support multiple learning styles, and facilitate self-paced learning for students and employees.
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