The Learning + Technology Group (or just LeTech for short) focuses on computing education, educational technology and software visualization. We adopt a research perspective on learning and teaching that allows us to improve education through better educational technologies and teaching methods.Please use the menu on the top to find the theme that you're interested in. If you're looking for publications by LeTech, please see our page on Google Scholar Currently, LeTech has the following active members:
"Leader of the research group, professor Malmi is interested in topics related to computing edication research, in particular: "How do we carry out computing education research? What can we learn from digital traces of student's actions?"
My research interests are on data structures and algorithms, learning analytics, and software visualization. Especially I'm interested in developing applications for online teaching and learning in the context of computer science education. My current work is concerned with software tools and principles in the area of automatic assessment systems. I also act as an instructor and teacher for several courses.
My research interests within CER include: the learning and teaching of introductory programming (especially at the university level), learners' understandings of programming concepts, cognitive approaches to CER, program visualization, phenomenography, and learning environments and tools.
My research interests are "Getting more of automated assessment - finding novel ways of extracting information and using it to construct efficient feedback
Currently postdoctoral researcher by the Academy of Finland, my current research interest is efficient algorithms for searching for statistically significant dependency rules. I am generally interested in (statistically sound and theoretical) data mining and machine learning with mathematical flavours.
My current research interests lies on how to attract students into CS and motivate in CS with gameful approaches
My current research interests are how students use plan-composition strategies to not only create code, but also extend and trace solutions with different levels of complexity in neo-piagetian stages.