University of the Basque Country University of the Basque Country

Breadcrumb

Irakasleak/Ikertzaileak

Teachers and researchers

AI in Teaching and Research: Basic Guidelines

Generative Artificial Intelligence can be helpful in a variety of teaching-related tasks, such as preparing learning materials, organizing activities or generating additional explanations. These tools can make daily work more efficient and flexible, provided that human oversight is ensured and ethical, legal and academic principles are respected. Below are general guidelines for appropriate use and the main practices that should be avoided.

Nested Applications

Instruction

AI for Teaching

✅Useful use in the following situations

  • Designing and structuring courses, modules and learning sequences.
  • Creating presentations, explanatory texts, examples and summaries.
  • Adapting materials for students with diverse learning needs.
  • Reviewing and improving the clarity, coherence and style of texts.
  • Producing multimedia materials (videos, podcasts, images…).
  • Developing tutorials, step-by-step guides and practical learning activities.
  • Assisting in the search, organisation and synthesis of bibliographic sources.
  • Providing helpful translations for non-confidential texts.
  • Suggesting assessment ideas or questions based on course materials (always verified by the instructor).

 

❌ Practices to avoid

  • Entering students’ personal data or confidential information into AI tools.
  • Using AI-generated content without reviewing or verifying it first.
  • Delegating assessment processes or grade determination to AI systems.
  • Presenting AI-generated materials as one’s own without acknowledging their use.
  • Replacing activities that promote critical thinking or active learning with automatically generated tasks.

Research

AI for Research

✅Useful use in the following situations

  • Literature search and synthesis: organising, filtering and summarising sources.
  • Generating hypotheses and research questions, based on existing literature.
  • Supporting research design: methodological proposals or structuring experiments.
  • Data processing tasks: extraction, organisation, simulations or preliminary analyses.
  • Drafting scientific texts: creating initial drafts or helping with structure and clarity.
  • Identifying new ideas and research gaps within a field.
  • Producing outreach materials: summaries, explanatory texts, infographics.
  • Providing translation support for non-confidential texts.

 

❌ Practices to avoid

 

  • Entering personal data, sensitive information or student-related data into AI tools.
  • Uploading confidential documents (thesis drafts, anonymised manuscript submissions, project proposals…).
  • Using AI-generated content in publications or presentations without verification.
  • Engaging in uses that may blur authorship, such as failing to acknowledge AI assistance.
  • Delegating statistical analysis or interpretation of results to AI systems without human oversight.
  • Using AI in ways that could jeopardise the academic integrity of the research process.