My research is rooted in improving K-12 educational practice using motivational facets made possible through adaptive tutoring systems. In an attempt to isolate best practices within the science of learning, I conduct randomized controlled trials within ASSISTments, an online adaptive tutoring system that provides assistance and assessment to students around the world. My work also incorporates big data analytics through the establishment of data driven learning models that promote the use of finite assessment to optimize student modeling and enhance user motivation. This paper highlights a turning point in my research as I transition into PhD candidacy. My contributions thus far and my research goals are discussed, with consult sought on how to best meld the realms of my work moving forward. An iteration of this work has also been published as a Doctoral Consortium at AIED 2015. [For complete proceedings, see ED560503.]