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Puzziferro, Maria; Shelton, Kaye – Journal of Asynchronous Learning Networks, 2008
As the demand for online education continues to increase, institutions are faced with developing process models for efficient, high-quality online course development. This paper describes a systems, team-based, approach that centers on an online instructional design theory ("Active Mastery Learning") implemented at Colorado State…
Descriptors: Learning Theories, Instructional Design, Online Courses, Systems Approach
Ubell, Robert – Journal of Asynchronous Learning Networks, 2007
This article describes WebCampus.Stevens, the online graduate education and corporate training unit of Stevens Institute of Technology, which delivers one of the largest and most effective asynchronous learning network (ALN) and blended programs of any college or university in the New York metropolitan region. Under a newly awarded Sloan…
Descriptors: Corporations, Professional Development, Virtual Universities, Online Courses
Garrett, Richard – Journal of Asynchronous Learning Networks, 2007
The Eduventures survey examined next-generation demand for online postsecondary education, assessing online experience, delivery mode and marketing channels preferences, and perceptions of price, quality and location, identifying key takeaways in each area.
Descriptors: Higher Education, National Surveys, Marketing, Educational Trends
Moore, Janet C. – Journal of Asynchronous Learning Networks, 2010
Encouraging continuous improvement in the quality, scale and breadth of online education, the Sloan Consortium invites practitioners to share effective practices. This report synthesizes effective practices submitted by Sloan-C members to the online collection at http://www.sloanconsortium.org/effective as of November 2010. The synthesis includes…
Descriptors: Distance Education, Special Needs Students, Awards, Academic Support Services
Boston, Wally; Diaz, Sebastian R.; Gibson, Angela M.; Ice, Phil; Richardson, Jennifer; Swan, Karen – Journal of Asynchronous Learning Networks, 2009
As the growth of online programs continues to rapidly accelerate, concern over retention is increasing. Models for understanding student persistence in the face-to-face environment are well established, however, the many of the variables in these constructs are not present in the online environment or they manifest in significantly different ways.…
Descriptors: Student Records, Predictor Variables, Correlation, Student Surveys