Digital Asset Management: A Lightning Round
Wednesday, January 28 | 3:15PM–4:15PM | Marina Ballroom D
Session Type:
Professional Development
Hear three campus stories in this fast-paced presentation format. Each will offer tips on how their experience can enhance your toolbox.
Mapping the Digital Course Materials Ecosystem: Initial Findings The National Association of College Stores (NACS) is conducting a research project to "map the new digital course materials ecosystem on campus." This project will survey students, faculty, campus administrators, IT professionals, college store professionals, and other stakeholders to gain a comprehensive understanding of current practices, expectations, assumptions, and future intentions. This session will offer initial findings and recommendations on how we can best address the needs, questions, and concerns of students; improve campus partnerships; and enhance teaching and learning through digital course materials.
The OER Ecosystem: Partnering to Ease Content Distribution The OER movement presents significant value to educational administrators by delivering quality content at affordable prices but creates challenges for IT administration. Nonprofit organizations such as OpenStax College seek partnerships with education technology companies to help increase adoption of OER materials. Barbara Illowsky, co-author of Introductory Statistics by OpenStax College, will share how and why she continues to develop partnerships with outside companies, even when "they" earn money but authors earn kudos.
Designing Higher Education Websites in the Age of Machine Learning This session will explore machine learning—systems that learn from data and use that learning to continuously self-optimize based on the user interacting with them. In machine learning, website visitors may see different content depending on their geographical location, for example. This automatic adjustment of assets displayed to the user is of particular importance when higher education websites must appeal to a variety of groups including students, family, alumni, and faculty. As outcomes of this session, you will learn about the background of web personalization, why higher education websites are well suited for machine learning, and the latest technology available to accomplish machine learning.
