Online learning is extremely prevalent in education, more than ever given the COVID-19 pandemic that has shifted most educational services to an online platform. More specifically, in 2015, close to six million students were taking at least one online learning course, which was 29.7% of all postsecondary students (U.S. Department of Education, National Center for Education Statistics 2018). In 2017, the Online Learning Consortium reported an almost 4% increase in online learning students in 2015 as compared to the previous two years. Although online learning is becoming more prevalent, there has been little to no research to determine what makes online learning most effective. Those that have, either have not compared modalities (i.e., only testing one format) (Sella et al. 2014; Walker and Rehfeldt 2012) or have focused on another aspect of the learning (e.g., does grading anonymously affect performance) (Liu et al. 2018). Determining the components of online learning that lead to better student outcomes will add to the current literature and improve online learning as a whole. The primary purpose of this experiment was to determine what forms of discussion (synchronous vs asynchronous) are most effective in an asynchronous online master-level applied behavior analysis course.

Recent events have highlighted the need for behavior analysis to address issues of diversity, equity, and inclusion (DEI) in service provision and in higher education. There has been a call to action issued, noting the need for cultural humility and cultural responsiveness. An opportunity exists within training programs to ensure that students of behavior analysis are instructed in ways that promote cultural responsiveness and that equip them to serve diverse populations. Additionally, more needs to be done to engineer environments where students of behavior analysis are treated with respect and compassion, and to ensure that educational environments promote the comfort and success of all students. This article outlines the initiatives of an applied behavior analysis department to gather information about DEI on the local level, identify goals, implement change, and evaluate progress toward these goals.

No abstract

No abstract

No abstract