Education

“With the AI education market expected to surpass $20 billion by 2027, the educational metaverse has the potential to create new innovative learning approaches, a gateway to a more immersive learning experience.”
— Forbes

Manage Data,

Enhance Learning.

When it comes to student engagement, one size does not fit all. The education industry has access to a wealth of data that, properly structured and utilized, can provide an effective framework for tailoring curriculum to individual students and enhancing their personal experience. Data Analytics can provide a clear picture into student/trainee engagement online, real-time monitoring, levels of interaction, performance metrics, use of tools and effectiveness of the course shell. While it’s challenging to integrate data distributed across various sources, legacy systems, and different vendor platforms, a strong Data Platform and Management can offer compelling solutions. 

A well structured Data Management Solution can leverage AI functionality to deploy sophisticated Machine Learning capabilities and provide schools, universities, and training institutions invaluable insight into how to shape aspects of their synchronous/asynchronous curriculum, customize programs, tailor courseware and instruction, leverage student strengths to improve coursework, and evaluate the effectiveness of teaching methods as well as performance of staff.  

  • Organize data silos and enhance data utilization by integrating legacy systems that don’t interface well or platforms from different vendors that were not designed to work together, leading to seamless interoperability, efficient work flows and comprehensive student/trainee insights.

  • Implement an effective data privacy and security solution requires a broad understanding of the organization, the nature of the data collected and ecosystem it operates in. Key considerations should include how data is classified, usage policy, monitoring access, endpoint security and authentication.

  • Develop Data Analytics tools that leverage data from engagement, progress in coursework, student records, strengths, interests, and areas of deficiency to gain valuable insights and improve the effectiveness of instruction, boost performance and enhance overall individual experience.

  • Utilize Machine Learning models to reframe curriculum & course material, customize programs, tailor online experience, leverage student strengths and improve educational tools to optimize both a synchronous or asynchronous learning environment.

  • Gain valuable insights by developing a data infrastructure that captures critical data points from the effectiveness of curriculum and class instruction, the online engagement and student experience, educational tools materials and resources, and student performance, success and feedback.

info@emergentdata.ai