Working with ChatGPT: Annotated Bibliography Student Guide [Strategies]
Working with ChatGPT: Annotated Bibliography Student Guide [Strategies]
10-15 minute read
Mary Landry
What You Will Learn in This Section
By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the annotated bibliography writing process to
- explore, evaluate, and refine a research question
- brainstorm and determine effective search components and keywords
- decipher complex ideas within academic articles
Additionally, you will critically reflect on ChatGPT’s place within the citation practices of an annotated bibliography. Specifically, you will consider why and how ChatGPT should be cited according to both MLA and APA.
What key terms should I know within artificial intelligence (AI) discourse?
Artificial Intelligence (AI)
Artificial Intelligence, often referred to as AI, encompasses computational systems created to imitate human behaviors and cognitive processes. In essence, computer scientists strive to design AI that can augment or replicate specific human cognitive functions, such as problem solving, experiential learning, pattern recognition, and decision making.
Generative AI (GenAI)
Generative AI is a branch of artificial intelligence trained on vast datasets (text, images, audio, code, etc.) in order to generate contextually relevant outputs. ChatGPT is a well-known formation of GenAI designed to generate human-like language in response to a prompt; in fact, the “G” in ChatGPT stands for “generative” to reflect this nature. However, GenAI covers a great variety of generators, such as image generators like Midjourney and DALL-E 2, or voice generators like Eleven Labs. Amid these various formations, ChatGPT belongs to a specific subcategory of GenAI called Large Language Models.
Large Language Models (LLMs)
Large Language Models are a specific subset of GenAI designed to process and generate human language. These models, trained on extensive textual data, can understand, generate, and manipulate text in ways that resemble human communication. LLMs include popular chatbots like OpenAI’s ChatGPT, Microsoft’s Bing, Google’s Bard, and more.
What should I know about annotated bibliographies before I begin this tutorial?
A Brief Overview
In the world of academic research, an annotated bibliography serves as a valuable tool for summarizing, evaluating, and organizing sources related to a specific topic or research question. More specifically, an annotated bibliography can help you move beyond simply logging a list of sources to actively engaging with research through concise annotations. Conventionally, these annotations include a summary of the source, an evaluation of its credibility and rhetorical merits, and a reflection on its usefulness for organizing your research. Through the process of critically engaging other authors’ work on your topic, you will begin to understand how their research impacts your own. This process includes