ELI Course: Mobile in Higher Education

Mobile in Higher Education: Exploration, Evaluation, and Integration

Course Overview

Mobile learning has become a noteworthy topic in higher education. Mobile devices are pervasive on campuses and have the power to connect students to learning experiences that were previously impossible. Despite the power of mobile devices, instructors still struggle to provide meaningful learning experiences that integrate mobile technology. Integrating mobile requires thought and careful planning. Mobile learning success is reliant on several, often overlooked, key foundational components. Campuses and classrooms need to be adequately prepared for mobile learning. Further, instructors have a plethora of variables to consider. Learning to evaluate the learning context and what might be needed for a successful learning experience is critical when using mobile technology in the classroom. This course will explore the many facets of mobile learning that lead to successful mobile experiences for students, instructors, and technical staff.

Learning Objectives

During this ELI course, participants will:

  • Explore the mobile landscape in higher education
  • Apply an implementation framework and evaluate their campuses for mobile readiness
  • Select, categorize, and evaluate mobile apps for use within a learning experience
  • Develop and integrate learning activities with mobile design principles in mind

NOTE: Participants will be asked to complete assignments in between the course segments that support the learning objectives stated above and will receive feedback and constructive critique from course instructors on how to improve and shape their work.

Course Instructors

Ryan Seilhamer

Ryan Seilhamer, Instructional Designer, University of Central Florida (UCF)

Ryan Seilhamer has been part of distributed learning at the University of Central Florida since 2000. In this time he has served many roles at the Center for Distributed Learning, which include web development, student support, and multimedia production. After receiving his MA in Instructional Technology, Ryan has transitioned into the role of Instructional Designer, assisting faculty in the creation and transition of course materials for online delivery. He is also involved with research related to emerging technologies and best practices for teaching and learning online.

Luke Bennett

Luke Bennett, Instructional Designer, University of Central Florida

Luke Bennett is an Instructional Designer at the University of Central Florida's Center for Distributed Learning. He holds an EdD with two specializations: Instructional Technology and Instructional Leadership/Curriculum Development, and an MA in Teaching. Before becoming part of the ID Team at CDL, Luke spent 16 years in secondary education. Throughout his career in secondary education, he held both teaching and administrative positions. Luke has also taught graduate and undergraduate courses in both online and face-to-face environments.

Sue Bauer

Sue Bauer, Instructional Designer, University of Central Florida

Sue Bauer began working in the Center for Distributed Learning (CDL) at the University of Central Florida as an intern during the summer semester of 2000, while completing her Masters degree in Instructional Technology/Instructional Systems. Following the internship, she was offered a faculty position as an Instructional Designer at CDL. Sue holds a Bachelor of Science degree in Elementary Education and a Masters of Education in Instructional Technology/Instructional Systems.

Baiyun Chen

Baiyun Chen, Instructional Designer, University of Central Florida

Dr. Baiyun Chen is an instructional designer at the Center for Distributed Learning at the University of Central Florida (UCF). Her background spans from design of learning technologies, research methods and language teaching. Over the past decade, she has accumulated extensive experiences in teaching, design and development of online courses and training seminars for both higher education and K12 settings. She completed her PhD degree in Instructional Technology and a graduate certificate in Data Mining at UCF.