Implementing

The two-hour workshop was designed to be an interactive learning experience where students could actively experiment with AI tools. It was structured as follows:

1. Teacher’s introduction to AI in Academic Research
   • Overview of AI’s capabilities and limitations in academic writing.
   • Discussion on ethical considerations and academic integrity, and university guidelines (what is recommended, allowed, prohibited)
2. Hands-on Exercises with AI
   • Formulating Research Questions – Ensuring appropriate scope for bachelor’s thesis and refining focus.
   • Clarifying the Phenomenon Under Study – Exploring key concepts through dialogue.
   • Structuring the Theoretical Framework – Identifying essential questions/themes.
   • Developing an Analysis Plan – Operationalizing variables, selecting data sources, and structuring the analysis.
3. Guided Discussions
   • Students shared their AI prompts and outputs with peers and the teacher. The group evaluated the relevance and reliability of AI-generated suggestions.
4. Student Reflections
   • The workshop concluded with a discussion on the pros and cons of using AI as an assistant in thesis writing. Students considered best practices for balancing AI-generated feedback with the development of independent critical thinking skills.