Research that explores the methods for measuring big data, analyses, and the design of volumetric data architectures optimized to measure learning from variety of educational, technological, and workplace contexts.
Sociocultural and cognitive underpinnings of creativity, learning and technology and how innovation happens is critical for the advancement of new ideas in both school and business, in order to help business stay competitive and enable learners to cope with an uncertain future (i.e., 21st Century Skills).
Research on formative assessment, governance, and policy, including scaffolding student & teacher competency and professional development, with an emphasis on how data-driven technologies can inform their practice.
Research to understand how the data is generated and informs learning and its contexts (e.g., MOOCs Immersive VR, Learning Management Systems, Machine learning, AI)
