What does the timeline look like for the next generation of learning and how do data insights, personalization, and evolving infrastructures impact the faculty role? Presenters will share insights on emerging models, how learners are interacting with them, and why fostering this evolution is critical for optimal outcomes for all stakeholders.
Due to student demand and digital learning expectations, employer requirements, and the evolution of robust technical capabilities, the learning landscape is changing. What does the timeline look like for the next generation of learning and data platforms and how do data insights, personalization, and the evolving infrastructures impact faculty role, instruction and learning opportunities? In this session you will hear experts share their insights on evolving learning models, how learners are using and interacting with new models, and why fostering the evolution of the learning landscape is critical to supporting optimal outcomes for our students, faculty, and institutions.
Key Audience Takeaways:
Audience understands emerging learning models and the timeline with which new data insights and platform infrastructures will gain momentum
Audience will take away key insights and questions to help evaluate which learning models might help them reach their institutional instruction goals associated with desired student outcomes
Audience will understand how new tools, data inputs, and personalized learning platforms influence emerging learning models and recognize impact on teaching and learning opportunities