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Data Science and AI Academy

AI for Students @ NC State

Guidance for students regarding the responsible use of Artificial Intelligence (AI) tools and solutions. 

Learning About AI

As students explore university-approved AI tools and solutions, they should:

  • Know which tools are available and which tools are not.
Approved and Rejected AI Tools
  • Experiment extensively with AI tools to learn and solve problems while keeping NC State academic policies and procedures in mind.
  • Focus on familiar subjects to better understand AI’s strengths and weaknesses.
  • Explore diverse models and their customizations to find the best fit for each task.

Learning with AI

As a Search Tool

AI chatbots can provide quick overviews of many topics, and even Google now prioritizes AI-generated summaries. However, rely on them with caution:

  • Limited Data: Many scholarly sources and current academic journals are missing from their datasets.
  • Lack of True Understanding: They cannot critically evaluate information or distinguish reliable sources.
  • Hallucination Risk: Be aware of their tendency to invent information.

For Summarization

  • Summaries as a Starting Point: Summaries (like abstracts) can aid prioritization and initial comprehension.
  • Prioritize Active Learning: Writing your notes significantly improves long-term understanding.
  • Retrieval Practice: Use AI to generate quizzes, not just summaries. Retrieval practice boosts retention better than passive review.

For Studying

  • Interactive Quizzing: Utilize LLMs to create practice questions for active learning and retrieval practice.
  • Supplementary, Not Primary: Employ LLMs as a study aid, not a replacement for core materials and reliable sources.
  • Active Engagement: Use LLMs to spark discussion and debate, not just passively accept summaries.

For Writing and Problem-Solving

  • Course Policy Restrictions: Using AI for assignments may be heavily restricted by course policies.
  • Focus on Skill Development: Direct problem-solving and writing are crucial for skill development.
  • Feedback is Key: Receiving and responding to questions improves writing more effectively than direct editing.
  • Deep Knowledge First: Most courses emphasize developing a strong foundation before advanced tool use.

Using AI in Your Courses

  • Policies Vary: AI usage policies differ between instructors, courses, and assignments.
  • Supporting Learning: These policies aim to help you master fundamental and advanced skills within your field.
  • Clarify with the Instructor: Unsure about AI usage? Ask your instructor!

Learn More About AI Tools

Whether you want to explore the fundamentals, applications, or ethics of AI, you can find courses on LinkedIn Learning that challenge and inform you. Develop your skills in programming, data analysis, machine learning, computer vision, natural language processing, and more.

LinkedIn Learning: AI

External University Resources