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

Projekt: Lehre und Studium

Projektbeteiligte

Beschreibung

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.
AkronymGenAI-Natives
StatusLaufend
Zeitraum01.02.2530.06.27

Zuletzt angesehen

Publikationen

  1. A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
  2. Anomaly detection in formed sheet metals using convolutional autoencoders
  3. Reading and Calculating in Word Problem Solving
  4. Challenges and boundaries in implementing social return on investment
  5. Machine Learning and Knowledge Discovery in Databases
  6. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  7. Lyapunov stability analysis to set up a PI controller for a mass flow system in case of a non-saturating input
  8. »HOW TO MAKE YOUR OWN SAMPLES«
  9. Changing Data Collection Methods Means Different Kind of Data
  10. Design of controllers applied to autonomous unmanned aerial vehicles using software in the loop
  11. Exploration strategies, performance, and error consequences when learning a complex computer task
  12. How, when and why do negotiators use reference points?
  13. There is no Software, there are just Services: Introduction
  14. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations
  15. Constraint breeds creativity
  16. A computational study of a model of single-crystal strain-gradient viscoplasticity with an interactive hardening relation
  17. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  18. Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation
  19. Combining multiple investigative approaches to unravel functional responses to global change in the understorey of temperate forests
  20. From "cracking the orthographic code" to "playing with language"
  21. Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution
  22. Towards a Bayesian Student Model for Detecting Decimal Misconceptions
  23. A localized boundary element method for the floating body problem
  24. Evaluation of standard ERP software implementation approaches in terms of their capability for business process optimization