Project researchers Prof. Matti Tedre and university researcher Henriikka Vartiainen held a guest lecture and workshop on "Machine Learning in the School World" at the University of Jyväskylä on 4.11.2022

Technologies based on machine learning, and more broadly artificial intelligence, have become part of children's and young people's everyday lives through various social media applications. The lecture and workshop present perspectives related to the transformation lines caused by machine learning.

Technologies based on machine learning, and more broadly artificial intelligence, have become part of children's and young people's everyday lives through various social media applications. In international discourse, there has been a shift toward discussing the data society, which is characterized by ubiquitous data collection and processing of collected data using new statistical and machine learning methods.

On the other hand, data collection and the development of technological autonomy have also raised new ethical, moral, and legal questions related to, for example, children's and young people's data agency, privacy, and participation.

On Thursday, November 4th, the workshop will feature university researcher Henriikka Vartiainen and professor Matti Tedre from the University of Eastern Finland, presenting perspectives on the transformation lines caused by machine learning. The perspectives are approached especially from the viewpoints of computational thinking and the development of school education. Tedre and Vartiainen describe the development trajectories of computational thinking and the shift toward data-driven thinking.

Lecture in English
Workshop in Finnish

The lecture presents theory, empirical observations, and new pedagogical approaches that help us understand more about what opportunities, challenges, and needs for change the latest everyday technologies present for school education. Following the lecture, participants will have the opportunity to practically experiment with how to teach a machine learning model that recognizes different images, sounds, or body postures using the latest technology (such as deep learning and convolutional neural networks) without programming skills.

In the hands-on session, participants will get to know Google's Teachable Machine.
https://teachablemachine.withgoogle.com/

https://www.jyu.fi/fi/ajankohtaista/arkisto/2021/11/vierailuluento-ja-tyopaja-201dkoneoppimista-koulumaailmaan201d-henriikka-vartinen-matti-tedre-uef