It's Personal! How Big Data and Analytics Drive Institutional Success by Personalizing Student Success

Wednesday, October 16 | 3:30PM–4:20PM | Meeting Room 204C
Session Type: Professional Development
Students who receive personalized, one-on-one attention to meet learning objectives are proven to outperform 98% of students using conventional instructional methods (Bloom 1984). While Bloom's two-sigma learning phenomenon still stands true today, technology can now enrich the student learning experience in ways never thought possible. Join our hot topic panel, where industry experts and higher ed thought leaders will discuss the benefits of implementing adaptive and predictive analytics solutions at higher education institutions to drive student success and provide real-world examples. Learn how to be more efficient and deliver improved learning outcomes for your students and your institution, today and in the future.

Learn models of adaptive learning and success criteria associated with each approach | Learn about implementations of adaptive learning models, with an understanding of the best fit for your institution | Learn how big data and analytics play an integral role in the adaptive learning process and, ultimately, student and institutional success


  • Ken Chapman

    Vice President, Market Research, D2L
  • Karen Thurmond

    Director of Academic Advising and Degree Planning Resources, The University of Memphis