Poster #3 - Quasi-Experimental Evaluation of Usage of Virtual Learning Environments: A Latent Class Approach With Inverse Probability of Treatment Weighting

• In Event: 75.043 - MTCC Poster Session 17
  In Poster Session: 75.043-1 - Advanced Studies of National Databases Poster Session

Abstract

Within the last decade, there has been a fast proliferation of virtual learning environments (VLE), such as virtual schools, e-learning management systems, intelligent tutoring systems, and massive open online courses (MOOCs). The objective of this study is to demonstrate a method to identify latent classes of VLE users at the student and teacher levels, and estimate the effects of VLE usage on educational achievement using inverse probability of treatment weighting (IPTW) to remove selection bias combined with multilevel structural equation modeling. The objective is accomplished through analyses of 2016/2017 usage data from the Algebra Nation tutoring program, which is state-funded and widely used in Florida, and student Algebra I End-of-Course Assessment (EOC) scores obtained from the Florida Department of Education.

Authors

• Walter L. Leite, University of Florida

• Dee Duygu Cetin-Berber, University of Florida

• Corinne Huggins-Manley, University of Florida

• Carole R. Beal, University of Florida