This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing the need for such education and identifying the intended consumers of educational materials on the…

Although flipped classroom pedagogies have been widely touted for their ability to foster diverse 21st-century learning objectives, previous syntheses of flipped learning have focused almost exclusively on outcomes related to academic achievement. Using data from 317 studies, our research addresses this deficit by providing a comprehensive…

In this paper, we will introduce partial results from our 3-year NSF funded grant titled "Inverted and Active Learning Pedagogies (IALP) for Student Success." We will present our results comparing student achievement between inverted (flipped) classrooms and traditional lecture formats in statistics classes at Texas Lutheran University.…