Machine Learning for K-12 Education

Research summary

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.

Description

Research info

Research title
Machine Learning for K-12 Education

Research timeline
1.4.2020 -

Keywords
k-12 learning machine learning teaching

Region
Africa

Countries
Array

Institution
University of Eastern Finland
School of Computing
Joensuu, Finland

Funding instrument
Other

Head of research
Ismaila Temitayo Sanusi

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

Contact information

Record last updated
23.3.2021