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A Student's Guide to Artificial Intelligence: AI and Education

This guide provides a resource for students on the presence and use of AI in higher education.

AI and Education

The ideas listed below are provided for your awareness. They represent examples of AI use cases that students might encounter, but the library and the university are not endorsing their use. Every tool has strengths, weaknesses, and risks—including issues of accuracy, privacy, and cost. This list is meant to help you explore the current AI landscape with a critical eye.

As always, be sure you:

  • Understand your course and program’s rules about AI use.

  • Protect your personal and academic data.

  • Double-check anything an AI tool produces for accuracy and reliability.

 

Some uses:

Discovery

  • Power search engines
  • Better searching in library databases
  • Find related literature
  • Provide article-level "insights"

Brainstorming

  • Generate research questions
  • Suggest synonyms or related terms
  • Propose lecture outline ideas

Transformation

  • Summarize long texts
  • Translate into another language (e.g., DeepL)
  • Reword highly technical material to make it easier to understand

Analysis

  • Review a document and give feedback
  • Analyze a syllabus and suggest improvements
  • Examine a dataset and highlight insights

Synthesis

  • Help with literature reviews
  • Identify patterns across multiple documents

Creation

  • Create quizzes from a source text
  • Generate tables or graphs
  • Build a reading list