Using learner profiling technique to predict college students’ tendency to choose elearning. courses: A two-step cluster analysis.
Title
Using learner profiling technique to predict college students’ tendency to choose elearning courses: A two-step cluster analysis
Author 1
Cheng-Chang “Sam” Pan, PhD, PMP, MBA, is an associate professor of Educational Technology at The University of Texas at Brownsville (soon to be The University of Texas Rio Grande Valley). His current research agenda includes the design of elearning in the context of project management and strategic management of distance education enterprises. He can be reached at Sam.Pan@utrgv.edu
Author 2
Francisco Garcia, MEd, is the Manager of Distance Education, Online Learning, The University of Texas at Brownsville. He will soon become the Director of Center for Online Learning & Teaching Technologies at The University of Texas Rio Grande Valley). He can be reached at Francisco.Garcia@utrgv.edu
Keywords
college students; distance education enterprise, elearning; affinity for technology; separation of school life and personal life