This session will discuss how advances in data-driven instructional design and learning analytics are enabling improvements in learning outcomes – particularly in high enrollment, general education gateway courses.
Low income and underserved postsecondary students are balancing jobs, families and other priorities – often impeding their ability to complete their degree or credential. While studies have shown that personalized learning is one tool that can help students to improve learning outcomes, how can higher education institutions provide access to truly personalized high-quality education at a cost that makes it accessible to all students who seek it? Rather than focusing on how we can build an online classroom for one million students, Acrobatiq is focused on building a million classrooms, each for one student by empowering institutions to rapidly develop and deliver high quality online courses and programs through adaptive learning technology. Acrobatiq’s outcomes-based and data-driven approach is based on 12 years of pioneering cognitive and learning science research from CMU. This approach is proven to produce measurable learning gains for students, including improved retention and recall, faster course completion, and better long-term knowledge retention/retrieval. It delivers a truly personalized learning experience while decreasing costs and expanding access.