Open Education – The Next in Hybrid Learning
For a long time, MOOCs have been the standard format for delivering online learning, but they are rapidly becoming redundant in an era of digital transformation where platforms have to be immersive, proactive, frictionless, autonomous, self-evolving and scalable. Open Education is that adaptive, collaborative experiential platform that supersedes MOOCs and online marketplaces – a space marked by open content and a connected ecosystem. Open Education Platforms don't just focus on delivering content but rather on enabling content sharing between educators and learners. Here, hyper scalability is built-in which gives users confidence in the quality of the platform and opportunities to grow/expand with the platforms. AI-driven data analytics engine powers this, shaping actions and recommendations, along with helping solve complex problems and adding immense value to the final customer experience. It has scope for hyper-personalization where every stakeholder can create personalized messages and targeted campaigns. The sentient, intelligent nature of the platform encourages higher involvement and increases the effectiveness of the system promoting connectedness and collaboration.
- The OE platform can be accessed by multiple stakeholders -learners, educators, administrators and content providers.
- In the OE system, content can be pushed by or pulled from existing MOOCs, learning marketplaces and upcoming content providers via messaging channels like Kafka and/or self-service APIs. On the other end, consumers can access and interact with content through different devices and channels like mobile apps, web applications, voice assistants and browsers.
- The platform houses microservices and frameworks that provide services like course management, user management, faculty management, learning programs, assessments, certifications and other details. These are secure microservices that provide self-service Open APIs for consumer apps running on different devices.
- The advanced data analytics engine allows for meaningful, actionable insights that can be implemented for continuous systems improvements.
Read the full paper here by Satheesh, Ajit and Manisha