Generative AI could potentially be used in multiple ways, including automating tasks (increasing productivity) and augmenting the human-in-the-loop (improving quality).

  • Before starting to explore an idea, consider the human alignment and legal aspects (including ethics, safety, potential biases, explainability, robustness, oversight etc.)

  • Also be mindful on plagiarism, data privacy and copyright. For instance, if you use an external service (LLM) to process your prompts and data, it will generally not be acceptable to upload copyright-protected (most) material without prior permission.

  • Keep a focus on using Generative AI to enhance, rather than replace, human interaction and critical thinking.

  • Teach students how to properly use, and evaluate the information provided by LLM’s; students may see what their role-models do and copy your actions.

In order to facilitate innovation, here is a list of ideas that may stretch our imagination and be considered. Not all will be applicable to your use or be practical at this point whereas others may require development of specific tools. If you have a good idea for inspiration that is not on the list, kindly let the AI group know, thanks.

Augment Learning

  • Use Generative AI to analyze works (your own, your students, others, …) to provide tailored feedback (strong points, areas for improvement, presentation style, additional resources, …). Note that there are tools that focus on e.g. grammar and style. Also be mindful of any permission you may need to do this.
  • Simulate discussions and debates (may allow students to practice critical thinking and argumentation skills) by means of e.g. an “LLM agent”
  • Help students explore research topics, generate hypotheses, and summarize research papers
  • Let students create personalized learning by customizing study material, quizzes, or create summaries based on their preferred learning style and level
  • Let students use Generative AI to create questions based on the course material that they could address and reflect on (and perhaps formulate as a reply to get critique on)
  • Provide students with a tailored service that uses a LLM that has access to a course knowledge base that may even include prerequisites from other prior courses (use e.g. a RAG and consider including a knowledge graph to include all relevant material in the context given to prepare the LLM)
  • Create role playing scenarios, where students can play out different perspectives

Content Creation

  • Generate customized practice problems, quizzes, simulations (tailored to student needs)
  • Adapt material to create tailored study material and guides to fit specific needs/settings
  • Summarise complex texts (to address different learning styles)
  • Generate diverse learning materials (summaries, explanations, examples, to supplement existing material, illustrations, …)
  • Generate transcripts and captions for lectures and videos
  • Translate course materials into different languages (e.g. DK to EN or the other way round)
  • Creative storytelling Generative AI could help in multimedia content creation or creating manuscripts or even render a complete podcast based on course material
  • Assist in the creation of interdisciplinary curricula or development of new teaching methods

Tutoring and Support

  • Provide virtual teaching assistants to answer student questions, give instant explanations, provide an overview of complex topics and provide support outside of class time
  • Help students to use LLM models to not just find an immediate answer to an assignment, but to provide feedback on students own (perhaps failed) attempts and get hints on what could be done differently

(Administrative) Efficiency

  • Summarize student course feedback to provide e.g. an unbiased(?) thematic analysis
  • Assist in creating course syllabi, lesson plans, and other materials
  • Using Generative AI to assist evaluation and feedback on student assignments may fall under the High Risk category of the EU AI Act, and need to adhere to specific requirements

Research Assistance

  • Assist in the analysis and visualization of large datasets to identify patterns and trends
  • Help to generate different drafts of academic writing (ideation, rewriting, giving critique, restructuring …)
  • Help educators identify and summarize emerging trends
  • Use Generative AI tools (like Scite_ and silvi.ai) to assist in literature reviews
  • Consider generating and formulating hypotheses; Generative AI can perhaps suggest potential research questions or patterns based on existing data

Note: This list has used multiple Generative AI tools in the ideation process.