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 - 1.5.2024

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