Project description
The importance of STEM skills for our society
STEM - science, technology, engineering and mathematics - plays a crucial role when it comes to tackling the major challenges of our time. From climate change to technological progress, many things would not be possible without skilled workers with STEM competences. Nevertheless, many young people find STEM subjects and professions unattractive, especially girls and young people from educationally disadvantaged households. The new STEM centre in Hirschaid aims to address precisely this issue.
Goals of the MINT-LinK project
Together with the Leibniz Institute for Educational Trajectories, we are supporting the STEM Centre in Hirschaid as part of the MINT-LinK research project. This centre is a place of learning and support where innovative learning opportunities help young people to develop their potential. The integrated franchise TUMO centre is aimed specifically at young people aged 12 to 18. As part of our project, we are expanding the programme by developing special learning modules on artificial intelligence (AI) for primary and lower secondary school children. A particular focus is on breaking down educational barriers and giving young people access to high-quality programmes regardless of their background. To achieve this, the project pursues two key objectives:
Data from the National Educational Panel Study (NEPS) is used to analyse which factors influence young people to take part in STEM learning opportunities. The focus here is on the special conditions in rural areas and the promotion of girls and educationally disadvantaged young people. These analyses are intended to show which measures are particularly important so that all young people can benefit from the offers. (Leibniz-Institut für Bildungsverläufe, LifBi)
As part of MINT-LinK, we are developing innovative modules on the topic of artificial intelligence (AI) for primary schools and early secondary schools. These modules are tested in practice, evaluated and further developed if necessary. At the same time, the need for further STEM topics in the region is being recorded in order to supplement the programme in a customised manner (Chair of Cognitive Systems, University of Bamberg).
Research focus of the University of Bamberg:
In our increasingly digitalised world, a confident and critical approach to artificial intelligence (AI) is crucial in order to be able to act in an informed and self-determined manner. AI literacy encompasses the understanding, knowledge and ability to use AI technologies in a reflected and responsible manner. As part of MINT-LinK, we develop innovative educational concepts and materials that specifically aim to promote AI literacy among children of primary and early secondary school age (6 to 12 years). Our aim is to support young people in actively, critically and responsibly shaping the digital world.
Why is AI literacy important at primary school age
- Children encounter AI systems at an early age in the digitalised world. It is therefore essential to give them a sound understanding of AI at an early age in order to promote a self-determined and safe use of these technologies.
- A basic knowledge of AI concepts helps children to better assess their benefits, limitations and risks. This helps them to develop realistic expectations of AI systems and use them responsibly.
- At the same time, knowledge about AI enables them to recognise potential risks such as data protection problems, algorithmic bias or misuse and to take appropriate measures.
- By understanding the basics of AI, children can also recognise the positive effects and innovative uses of AI.
Our approach: AI learning modules with a high proportion of analogue materials
We believe that integrating AI learning modules with a high proportion of analogue materials is a particularly effective approach to providing primary school children with a comprehensive understanding of artificial intelligence (AI). To facilitate the understanding of complex AI concepts, the modules use multisensory learning methods that include tactile materials, interactive simulations and visual demonstrations.
- To provide a fundamental understanding of knowledge-based and data-based AI paradigms.
- Data literacy
- Basic principles of machine learning (e.g. decision trees, neural networks)
- Understand similarities and differences between AI and human thinking
- Develop realistic expectations regarding the capabilities and limitations of AI.
Further links
Student Projects:
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