Regal Swiss assisted in implementing AI analytics for student performance in medium Asian educational institutions, transforming legacy grading systems. We mapped data flows, integrating make.com for automated report generation and OpenAI for trend analysis in assessments. N8N synced LMS with external tools for comprehensive insights. Features included personalized learning recommendations and early intervention alerts. We ensured data privacy per regional laws. Collaborative pilots refined accuracy. This empowers educators with actionable data. Tailored for Asian schools, our analytics enhance teaching outcomes, boost retention, and support personalized education, enabling legacy institutions to adopt data-driven pedagogies in diverse learning environments.
SDICOM
make.com, OpenAI, N8N, LMS, Student Analytics
Student performance analytics implementation
Regal Swiss education analytics and AI integration team
Processing unstructured assessment data for trends
Generating personalized recommendations scalably
Syncing legacy LMS with modern analytics tools
Maintaining privacy under Asian education regulations
Applied OpenAI for advanced trend and insight analysis
Implemented make.com for automated reporting
Used N8N for secure LMS data synchronization
Built privacy-focused recommendation engines
Improved student performance tracking by 40%
Increased retention rates by 30% with interventions
Enhanced educator decision-making efficiency
Achieved full regulatory data privacy compliance