The LRDC aims to advance the science of learning by bringing together researchers from the cognitive, developmental, social, educational, and computational sciences. I worked specifically in the Future Adaptive Collaborative Educational Technology (FACET) Lab and was able to work on three projects involving research on the effects of social robots and intelligent agents on learning. Each study investigates different forms of human-robot interaction in relation to education. These projects included the NRI Project which focused on designing effective dialogue, gaze, and gesture behaviors in a social robot that supports collaborative learning, a gesture elicitation study to remotely crowdsource gestures reflective of participant’s gesture behaviors, and the Ubiquitous Collaboration Support (UbiCoS) Study which is a collaborative learning environment deployed in a middle school classroom. I was connected to this opportunity through PittInclusion. PittInclusion is an undergraduate research program in collaboration with Google’s exploreCSR program that aims to foster a supportive, encouraging learning environment for historically underrepresented students in computer science. As an undergraduate research assistant, I observed study sessions and assisted with data cleaning, organization, and analysis, participated in study design, learned about and used a variety of statistical analysis methods, developed a codebook, and assisted with qualitatively coding transcripts along with video data from study recordings. Throughout my time at the LRDC I learned more about human-computer interaction (HCI), machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) principles.