Research Overview
Contemporary learning systems utilize data such as keystrokes, log files, and clicks to interpret complex learning phenomena. In recent years, multimodal data’s potential to help us understand the world around us and interpret the complex learning processes in it, led learning technology research to develop models that can process information from multiple modalities. Although the collection, interpretation, and visualization of multimodal data has been extremely challenging for researchers, recent technological developments and data science, and AI advancements have boosted the growth of non-invasive high-frequency multimodal-data collections.
Learners’ traces are generated during their interaction with technologies, such interaction is often complex but offers opportunities for collecting rich and multimodal data (Giannakos et al., 2019; Giannakos et al., 2018), MultiModal Learning Analytics (MMLA), as the literature refers to them. In order to unfold the benefits of MMLA, the Learner-Computer Interaction (LCI) lab focuses on overcoming the difficulties in gathering and making sense of MMLA. In other words, we attempt to identify, How insights generated during learner-computer interaction help us to design future learning environments and improve the learning experience.
Research Areas
LCI lab addresses the design, development and use of interactive technologies to support and amplify human learning. Our work contributes towards a coherent new way of understanding and building learner-centered interaction concepts to support the design of future learning environments. LCI provides an interdisciplinary playground for researchers and professionals across all areas of learning technologies, psychology, learning sciences and interaction design. LCI’s goal is to conceive the next generation of learning environments and their interaction design capacities, the form of these capacities and the way they can be identified, utilized and enhanced to help us improve the contemporary learning technologies and users’ learning experience. For more details about our research project, have a look at the “Projects” section.
