This study focuses on how to teach basics of machine learning (ML) in K-12 settings. Since ML can be considered as a vital part of future computational skills, it is justified to be included as part of the computational thinking teaching agenda in K-12 level. The outcome of the study will help to understand the existing system in teaching ML and its algorithm, identify strategies and pedagogical frameworks for teaching ML in K-12 education. The research outcome will further motivate young learners to learn and practice machine learning algorithm and as well encourage/build teachers’ capacity in teaching ML.

Team

Prof. Markku Tukiainen, Dr. Jarkko Suhonen, Dr. Solomon Oyelere, Dr. Henriikka Vartiainen