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AI Literacy for Students

A student guide to AI literacy that will help you gain foundational knowledge of AI concepts, apply generative AI knowledge appropriately in an educational setting, and enable you to think critically about generative AI systems and tools

AI Research Assistants

For a detailed look at how to find and evaluate resources using AI tools, as well as how to cite AI tools see the Researching with AI Guide.

Abstract visualization of interconnected data points representing research

AI Tools for Scholarly Research

For scholarly research-oriented tasks like:

  • Finding scholarly articles
  • Synthesizing information from scholarly articles
  • Summarizing a specific scholarly article
  • Asking questions about a particular scholarly article

Start by searching library databases and Google Scholar. Their coverage is more comprehensive than the tools below.

Then try these generative AI tools:

Research Rabbit

A free online citation-based literature mapping tool that helps you visualize connections between research works, discover similar papers, and identify other researchers in your field, optimizing your time searching for references.

Link: https://www.researchrabbit.ai/

Databases: Semantic Scholar, and other databases. Claims access to 100's of millions of academic papers

Elicit

An AI research assistant that automates parts of the literature review workflow by finding relevant papers, summarizing key takeaways, and extracting specific information into easy-to-use tables.

Link: https://elicit.com/

Databases: Semantic Scholar database.

Consensus

An AI-powered academic search engine that synthesizes findings from scholarly literature to answer research questions, providing a "Consensus Meter" to illustrate the collective agreement among studies.

Link: https://consensus.app/

Databases: OpenAlex and Semantic Scholar databases

Scite.ai

A smart citation index that provides "citations in context," showing whether an article offers supporting or contrasting evidence for a claim, helping you validate research claims.

Connected Papers

This tool visually maps relationships between academic papers by analyzing co-citations and shared references, generating an interactive graph to help you discover influential works and uncover new research paths.

Link: https://www.connectedpapers.com/

Databases: Semantic Scholar database.

Semantic Scholar

A free, AI-powered scientific literature search engine that provides brief summaries ('TLDR's) of the main objectives and results of papers, and serves as an underlying data source for many other AI tools.

Link: https://www.semanticscholar.org/

Databases: PubMed, arXiv, Springer Nature, Taylor&Francis, Wiley, ACM, IEEE, Unpaywall, and more

How These Tools Work

You can use these tools to find additional sources that may not have appeared through keyword searching. They use semantic search, which aims to give you relevant results by interpreting the meaning of your search (instead of just showing results that match the words you enter). They also include generative AI features, like responding to natural language prompts, summarizing, outlining, etc.

Note: While these tools may have free versions, most have usage limits without a subscription.

This page was adapted from Which AI Tool for Your Task? by University of Arizona Libraries, which is licensed under CC BY 4.0.

Deep Research tools are AI research assistants that plan and perform research and create a cited report for you based on your query and directions. They are available through ChatGPT, Google Gemini, Perplexity and others.

What a Deep Research Tool Does

  • Breaks the job into steps. It plans the research process first.
  • Reads widely by visiting a lot of pages
  • Creates a report based on the format you require. You will also get all of the links to help you with verification.
  • Can use your files. Add PDFs or docs and it will weave them in.
When to use it

Complex questions, policy scans, product comparisons, or anything that needs more than a quick fact.

Heads-up: Treat the report as a draft with citations. Verify all facts and data as if you are staking your reputation on it.

Use Cases (quick picks)

Teaching & Course Prep
  • Build a reading pack with key terms, dates, and short summaries—links included.
  • Make comparison charts (methods, pros/cons) students can verify.
  • Draft activities and discussion prompts—then spot‑check before assigning.
Policy & Compliance
  • Pull together rules, standards, and regulator guidance with jurisdiction notes.
  • Highlight effective dates, exceptions, and “watch‑outs” in a one‑pager.
Market & Competitive Checks
  • Scan features, pricing, and customer signals across credible sources.
  • Create spec matrices you can defend in a meeting.
Travel & Purchasing
  • Build itineraries or shortlists with warranty, repairability, and total cost in view.
  • Double‑check prices/availability at the cited source—sites change fast.

Caveats (and how to stay smart)

While Deep Research tools are powerful and can give good results, there are some things to think about when using them. Remember that all AI tools can make stuff up; also remember to find the appropriate balance of “weightlifting” and “forklifting” for your work.

Verification Gap: Even good tools can be confidently wrong. Fix: Verify facts, check dates, check quotes, and confirm statistics.

Competence Gap: If it does everything for you, you aren't really learning much. Fix: Only use when you need to get a fast result and don't need to practice the research process.

Confidence Gap: Outsourcing all the thinking can chip away at your confidence. Fix: Make sure you get in your manual reps too. Read the most relevant sources, not just the final report.

Your Turn: Take Deep Research for a Spin

Choose one of the following complex questions (or one of your own):

  • "What are the main arguments for and against using nuclear energy to combat climate change, including sources from the last two years?"
  • "Compare the key features, target audience, and limitations of the top three project management tools: Asana, Trello, and Monday.com."

Run your chosen question through a deep research tool (like Perplexity, or the free modes in Gemini/ChatGPT). Then, use the six-step workflow from this guide to verify the claims and create a one-paragraph summary. How did the raw output differ from your final, verified summary?

Tools at a Glance

ChatGPT — Deep research (OpenAI)

  • How to use: In ChatGPT, pick Deep research or run it inside Projects.
  • Plans: Plus/Team/Enterprise/Edu: about 25 uses/month; Pro: ~250; Free: ~5 via a lightweight version. (Varies by region/workspace.)
 

Gemini — Deep Research (Google)

  • How to use: Select Deep Research in Gemini. Works on desktop and mobile.
  • Plans: “Try at no cost” (limits). Higher limits/features with Google AI Pro/Ultra plans.
 

Perplexity — Deep Research

  • How to use: In Perplexity, choose Deep Research when asking complex questions.
  • Plans: Free and Pro tiers; limits vary by plan.

Also worth noting

  • Microsoft Copilot — “Think Deeper” mode and Copilot Search add longer‑form, grounded answers with citations.
  • Anthropic Claude — Web Search and a Citations API for developer‑built research flows.
  • Grok (xAI) — Real‑time X + web search with citations; available via X Premium+ / SuperGrok tiers and API.
Key Takeaway

Deep Research tools are powerful starting points, not finishing lines. They generate a comprehensive first draft, complete with sources. Your role is to be the critical thinker: to verify, question, synthesize, and ultimately, own the final result.

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