Transferring smart E-learning strategies into online graduate courses

Abstract

This study is designed to increase understanding of how learner-centered instruction and emerging technologies can be applied to improve online courses and increase student satisfaction and performance at the higher education level. The research questions examine predictors of student achievement, persistence, and satisfaction in online learning and investigate what strategies are most effective at building learner success and optimal online learning contexts. Three models for systematic design of online learning courses are considered. Two of these models are used in a reflective data analysis process that uses data from three recent online courses as test cases. Analysis of results shows that an integrated use of the two models featured provides a useful design approach to support on-going innovation and systemic analysis of online course implementation. Recommendations for expanding upon this research are provided.