As part of this semester’s course Future Design Lab at FH JOANNEUM our lecturer Raphaela Egger made an excursion to the topic of Systems Thinking.
In her lecture Egger distinguishes between Systems Thinking and Design Thinking, which are complementary approaches for solving complex problems and enhancing the design of products, services and systems. Design Thinking emphasizes understanding users‘ needs and developing solutions that are intuitive, functional, and appealing. Conversely Systems Thinking centers on comprehending how an entire system operates and recognizing how modifications in one area can impact other parts. 1,2
Egger states that a complex system cannot simply be dismantled, reorganized, and reassembled, nor can it be simplified.3 Once its complexity is destroyed, the system itself stops to function. Interventions in complex systems almost always lead to unexpected side effects and long-term consequences because we rarely understand all the interconnections and unintentionally create unexpected system dynamics.
5R model of Systems Thinking
Egger introduced us to the 5R model of systems thinking, which is a framework that highlights five key dimensions of systems: results, roles, relationships, rules and resources.4,5 This model serves as a lens for assessing local systems and guiding interventions to strengthen them.
- Resources: The inputs or „fuel“ required for the system’s interactions to give results.4
- Rules: The formal and informal guidelines, laws, cultural norms and protocols that govern the system’s operation.4,6
- Roles: The functions and responsibilities assumed by different actors within the system.4,6
- Relationships: The connections and interactions between various actors in the system.4,6
- Results: The target outcomes or impacts that the system is designed to produce.4,6
Team task
During the lecture Mrs. Egger gave us the task to apply an system of our choice to this model. Our group talked about the education system in industrialized countries and how artificial intelligence might influence it in the future:
Resources
AI brings advanced tools and technologies into classrooms, redefining the resources available to students and educators. Intelligent tutoring systems, adaptive learning platforms and generative AI applications offer new and personalized educational experiences. However this may lead to a loss of conventional analog skills, such as handwriting or mental calculation, as digital tools take precedence. Educational institutions must balance leveraging AI with preserving foundational skills to ensure holistic development.
Rules
The integration of AI in education sectors will most likely need new guidelines and policies for its usage. For instance, rules regulating the ethical use of AI, data privacy and intellectual property must be developed to address emerging challenges. There may be a redefinition of what is truly essential in education, focusing less on rote memorization and more on teaching students how to effectively interact with and use AI. This shift might require the curricula to be revised to prioritize AI skills and critical thinking over conventional ways of education.
Roles
AI has the potential to transform the roles of both teachers and students. Educators may transition from being primary sources of knowledge to facilitators, who guide students in AI-enhanced learning. Conversely students may be more active in directing their learning journeys, taking advantage of AI tools to explore topics at their own pace. As these changes provide a lot of chances for individuals, they also come with concerns about the children’s development: the importance of interpersonal interaction and the risks of depending too much on technology for example.
Relationships
It is predictable that AI in education will change the way actors will interact within the system. The relationship between teacher and student may change as AI becomes an intermediary, which will provide instant feedback and support. Peer relationships with collaborative learning could increasingly be mediated by digital platforms. These changes might impact social development, particularly for younger children. Health implications are happening already, such as excessive screen time and shortening of the attention span and reduced sleep quality. This could get more intensive.
Results
Results of an AI-influenced education could reshape societal outcomes. With AI making learning more accessible and personalized, students in industrialized countries could perform better in school and university, becoming more innovative. But the effects are more than academic success. As humanity grows alongside AI, we must think about what intelligence means, how human creativity fits in and what values should guide education. Balancing technology with the human side of learning should be the overall goal.
In relation to my research topic
In particular, it would be interesting to see how my research topic of improved first aid for epilepsy would affect the emergency response system in terms of decision making through a mobile app when a seizure occurs.
Resources
- https://www.linkedin.com/pulse/how-can-design-thinking-systems-work-together-caglar-korun/ ↩︎
- https://www.ideou.com/blogs/inspiration/differences-between-systems-thinking-and-design-thinking ↩︎
- http://systemthinking.de/Systeme-verstehen/ ↩︎
- https://usaidlearninglab.org/system/files/resource/files/5rs_techncial_note_ver_2_1_final.pd ↩︎
- https://www.ashoka-visionaryprogram.org/tools-for-systems-change/ ↩︎
- https://collaboratiohelvetica.ch/en/blog/2021/7/28/the-5r-framework-gn2bw ↩︎