DIKU Bits: Learning Analytics for Humans
Daniel Spikol, Associate professor in the Machine Learning Section at the Department of Computer Science.
Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts to understand and optimize learning and the environments in which it occurs. However, learning takes place across many different settings. I am interested in supporting collaborative learning. To understand and improve collaboration in education, we turn to multimodal learning analytics (MMLA) that uses different sensors (computer vision, audio, physiological) combined with data streams from learning management systems and digital tools to capture the different ways people interact. My aim with MMLA is to empower the learners. The role of supporting self-efficacy through technology is explored, with a nod to nudging people towards reflection and self-regulation.
Zooming in on Daniel Spikol
Which courses do you teach? (BSc and MSc)
I just started at DIKU and the Center for Digital Education (funding by DIKU and IND) and will spend 50% time at both faculties. At DIKU, I will be helping to teach the Kickstart Course in Programming for new Bachelor students. I will also part of the team for Data Science (DS) for the bachelor program and Introduction to Data Science (IDS) at the master level. For IND and the Center for Digital Education, I will run workshops on innovation to support teaching in the Introduction to University Pedagogy (IUP) course that Ph.D. students and others learn how to teach at university. In addition, I plan to work with the administration on better using learning analytics to support students and teachers at KU.
Which technology/research/projects/startup are you excited to see the evolution of?
I am excited about the emergence of TinyML that uses small single-board computers and microcontrollers. Combined with low-cost sensors that are combined with other technologies to help capture data from the surrounding world and help provide the tools for making better data-informed decisions in the complex, messy world.
What is your favorite sketch from the DIKUrevy?
I am looking forward to finding out more about the DIKUrevy and getting insights into Danish and DIKU culture. I am not sure the DIKUREVY YouTube channel does the event justice.