GenAI-Natives - Educating (the next generation of) teachers on usage of generative artificial intelligence

Project: Teaching

Project participants

Description

The project aims to enhance the understanding and effective integration of generative AI primarily in secondary education by evaluating real-world AI usage. It seeks to provide best practices to use and self-implement AI tools that empower teachers to leverage AI ethically and effectively, fostering digital literacy, AI competency, and innovative teaching methods. It aims to be accessible for a wide audience by providing online material and hybrid events.

Our data and results are going to be based on a large-scale pilot study with 100+ teachers using ChatGPT-based tools. Our mixed methods study design covers interviews, surveys, and computational analyses. We will develop and deliver teacher training workshops, create teaching materials, and design customizable AI tools for lecturers, as well as guidelines how to do so.

The project will produce evidence-based insights into AI's role in education, best practices for its use, unveil limitations, provide teacher training materials, and AI tools for lecturers. As we integrate our findings into teaching teachers, the benefits will be long-term and communicated through the next generation (as well as existing) teachers to children. These outcomes will support ongoing digital literacy and AI integration, benefiting teachers, students, and educational institutions.
AcronymGenAI-Natives
StatusActive
Period01.02.2530.06.27

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Publications

  1. Concept for Process Parameter-Based Inline Quality Control as a Basis for Pairing in a Production Line
  2. A change of values is in the air
  3. Exploration strategies, performance, and error consequences when learning a complex computer task
  4. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  5. A Quality Data Model Based on Asset Administration Shell Technology to Enable Autonomous Quality Control Loops
  6. Probabilistic approach to modelling of recession curves
  7. Study on the effects of tool design and process parameters on the robustness of deep drawing
  8. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  9. A statistical study of the spatial evolution of shock acceleration efficiency for 5 MeV protons and subsequent particle propagation
  10. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  11. An evaluation of BPR methodologies adopting NIMSAD: A systematic framework for understanding and evaluating methodologies
  12. Gain Scheduling Controller for Improving Level Control Performance
  13. Paraphrasing Method for Controlling a Robotic Arm Using a Large Language Model
  14. A MODEL FOR QUANTIFICATION OF SOFTWARE COMPLEXITY
  15. Finding Creativity in Predictability: Seizing Kairos in Chronos Through Temporal Work in Complex Innovation Processes
  16. Don’t underestimate the problems of user centredness in software development projectsthere are many!?
  17. Framework for setting up and operating biobanks
  18. Tree diversity increases forest temperature buffering via enhancing canopy density and structural diversity
  19. The effects of different on-line adaptive response time limits on speed and amount of learning in computer assisted instruction and intelligent tutoring
  20. Grazing, exploring and networking for sustainability-oriented innovations in learning-action networks
  21. Understanding the socio-technical aspects of low-code adoption for software development
  22. Design of an Energy Efficient Sensor Node for Wearable Applications
  23. Partitioned beta diversity patterns of plants across sharp and distinct boundaries of quartz habitat islands
  24. Computer als Medium
  25. Integrating errors into the training process
  26. Switching from a Managing to a Monitoring Function on the Board
  27. Revisiting Supervised Contrastive Learning for Microblog Classification
  28. Measuring Learning Styles with Questionnaires Versus Direct Observation of Preferential Choice Behavior in Authentic Learning Situations
  29. An Interactive Layers Model of Self-Regulated Learning and Cognitive Load