Developing Course Profiles to Match Course Characteristics with Student Learning Styles
Advisors with a working knowledge about course workload and the levels of learning in specific classes provide the best possible advising. Unfortunately, they often have only limited information regarding important course characteristics. With a better understanding of these factors, advisors can assist students in making appropriate course selections during the advising process and promote a positive advisor-student relationship. We explain a new means of profiling courses that integrates information about the workload and levels of learning for each course. We also explain the benefits of these new course profiles for advisors, faculty members, students, and administrators.
Contributor Notes
John H. Gerdes is an associate professor of Technology Support and Training Management within the University of South Carolina. Research interests include distance learning, integrative learning, and student success factors. He can be reached at jgerdes@sc.edu.
Tena B. Crews is a professor of Technology Support and Training Management. She also serves as the Director of Online Learning and Development for the College of Hospitality, Retail and Sport Management. Her role at the University of South Carolina also includes serving as the Associate Director of Technology Pedagogy for the Center for Teaching Excellence. Her E-mail address is tcrews@mailbox.sc.edu.
This work was funded by a NACADA research grant.
