Student Assistant @ Learning Sciences and Educational Design Technologies
08.04.2025, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
Location: Marsstraße 20-22, 80335 München
Start date: As soon as possible
Salary: 8h/week; 14,00 €/h (Bachelor students) or 15,41 €/h (Master students)
Website: https://www.edu.sot.tum.de/en/lsdesign/welcome/
About Us
The Professorship for Learning Sciences and Educational Design Technologies at the Technical University of Munich is dedicated to exploring how creative design technologies can enhance STEM learning in both school and out-of-school settings. We focus on fostering equitable access to technological skills and the role of digital tools in education.
Within the Co-designing a Risk-Assessment Dashboard for AI Ethics Literacy in EdTech project (https://www.ieai.sot.tum.de/research/co-designing-a-risk-assessment-dashboard-for-ai-ethics-literacy-in-edtech/ ) we have developed a set of scenarios and activities for young people to engage with AI technologies and develop AI ethics literacies. This project responds to the rapid integration of AI-based technologies into education (AI EdTech). While the potential for improved learning outcomes is important, the emergence of AI in education also brings ethical and legal challenges, ranging from bias issues to threats to privacy. By addressing the challenges of AI EdTech ethically, the project hopes to empower decision-makers with the knowledge and tools needed to navigate the complexity of AI in education. We are currently implementing the scenarios and activities into a website where educators and learners can directly engage with AI tools an activities to develop AI ethics literacy.
Responsibilities
The student assistant will support the design and development of the website that will integrate AI ethics activities and scenarios. Specific tasks include:
Designing a website interface based on mockups and design sessions with the team.
Implementing AI features into the website activities, such as image- and tex-generative AI.
Create a user experience that allows for easy interaction with the AI elements.
Create a clear and logical structure for the website's content and navigation, taking into account a user-friendly implementation.
Requirements
Experience with design, industrial design, or website design.
Familiarity with website design tools, CSS, or suites for website creation.
Experience with AI tools and different AI functionalities (e.g., image expansion, image combination, image generation).
Strong problem-solving skills, especially in design optimization for usability and efficiency.
High proficiency in English.
Application
Please send your CV to Santiago Hurtado, s.hurtado@tum.de
Kontakt: s.hurtado@tum.de