Opening the book…
In this unit, we will learn how to formulate research questions that are narrow and focused. Students will choose a topic that interests them, create a research question, and locate credible sources to answer the question. We will learn how to evaluate sources for credibility and reliability and how to integrate sources effectively. We will explore uses of generative artificial intelligence in the writing process. Finally, we will practice giving and receiving constructive peer feedback to improve our writing.
- 1.1: What's Wrong with This Picture?
- This page explores the role of generative AI in academic writing through a narrative about creating a textbook cover that combines myth and technology. It presents three approaches to AI use: Centaurs, who use it as a tool; Cyborgs, who integrate it fully; and Resisters, who are skeptical. The author discusses AI's potential and challenges, offering principles for effective use and a hybrid writing model called "co-intelligence," encouraging readers to reflect on their interactions with AI.
- 1.2: Is the College Essay Dead?
- This page explores the role of generative AI in writing education, noting its ability to produce decent academic essays while raising concerns about cognitive skill development, academic integrity, and the need for thoughtful integration into curricula. It underscores the importance of traditional skills like critical thinking and communication, while also highlighting AI's potential to enhance learning through resources and collaborative tasks.
- 1.3: What Do You Want to Know?
- This page emphasizes the importance of inquiry in academic research, starting with a focused, researchable question grounded in credible evidence. It outlines key characteristics, including clear, objective writing and detailed citation. Techniques for refining research questions include exploring relevant topics and using the "5 W's and H" approach.
- 1.4: Surviving the Textpocalypse
- This page emphasizes the significance of human creativity and writing in the context of AI's limitations and ethical concerns. It explores how AI, including models like ChatGPT, struggles with understanding human emotions and experiences while raising issues like biases, misinformation, and energy consumption. The text warns against relying too heavily on AI for creativity, stressing the importance of independent thought.
- 1.5: How Can I Develop a Research Question?
- This page outlines the process for developing a focused research question for exploratory research and essays. It emphasizes the importance of choosing a topic that is neither too broad nor vague, conducting preliminary searches, and refining the question to meet academic standards. Techniques like mind mapping are suggested for effective topic selection.
- 1.6: Where Did Generative AI Come From? An Exercise in Co-Writing
- This page provides a comprehensive overview of the historical and recent developments in generative artificial intelligence (AI), covering milestones from the 1920s to 2024. Key themes include influential literature and media representations of AI, advancements in technology like AI as a service and Transformer models, and AI's applications across various fields, particularly healthcare.
- 1.7: How Do Large Language Models (LLMs) like ChatGPT Work?
- This page introduces large language models (LLMs) and natural language processing (NLP), distinguishing human writing from machine-generated text. It covers essential processes like tokenization and embedding, along with alignment strategies such as OpenAI's RLHF. The page highlights the complexities and limitations of LLMs, including bias, misinformation, and the phenomenon of "hallucination.
- 1.8: How Do I Get Started with AI Platforms?
- This page explores the emergence and impact of AI-assisted writing tools, specifically generative AI platforms like ChatGPT, Microsoft Copilot, and Google Gemini. It emphasizes their role in transforming education and productivity while underscoring the necessity of responsible usage to maintain academic integrity.
- 1.9: How Do I Prompt AI Chatbots?
- This page covers the essential use of AI tools like chatbots in writing and education, focusing on text-to-text prompting and feedback effectiveness. It underscores the significance of crafting precise prompts for better AI responses while warning of potential biases and inaccuracies.
- 1.10: What Ethical Concerns Exist for Generative AI Tools?
- This page addresses ethical concerns related to generative AI technologies such as ChatGPT. It highlights a letter from scientists advocating for a pause in AI development due to existential threats. Key issues include misinformation, biased data, privacy risks, accountability, job displacement, mental health, and environmental impacts. The page stresses the necessity for ethical guidelines and collaboration in AI deployment, alongside addressing socio-economic inequalities in AI development.
- 1.11: How Do I Acknowledge and Cite Generative AI in Academic Work?
- This page highlights the proper citation and acknowledgment of generative AI tools like ChatGPT in academic work, emphasizing the need to consult instructors and provide a clear framework for including these tools in assignments. It outlines citation guidelines in APA and MLA styles and stresses responsible usage by verifying AI-generated content.
- 1.12: What If I Don't Use Generative AI?
- This page addresses the challenges students encounter with generative AI in academia, highlighting concerns about false accusations against proficient writers. It promotes ethical understanding and encourages students who opt out of AI to engage instructors in discussions about alternative assignments. Strategies for accused students include fostering dialogue, being aware of institutional policies, and keeping digital evidence of their work.
- 1.13: What Types of Sources Should I Use for Academic Research?
- This page emphasizes the significance of high-quality sources in exploratory research, particularly peer-reviewed articles. It distinguishes between primary and secondary sources and discusses tools like Perplexity.ai for reliable research. Critical evaluation of sources is essential, with recommendations to use credible journalism and books while avoiding generative AI tools and Wikipedia.
- 1.14: How Can I Use Sources in My Research?
- This page emphasizes the significance of understanding information needs in research, detailing five key aspects: background learning, answering questions, audience persuasion, context description, and reporting diverse perspectives. It stresses the careful selection of sources—primary, secondary, and tertiary—based on context and audience type. Furthermore, it highlights source categorization (qualitative, quantitative, etc.) and the use of research organizers.
- 1.15: What Is Precision Searching?
- This page emphasizes the importance of precision in research source searches. It outlines a systematic approach that includes identifying main concepts, listing related terms, and forming effective search statements. Techniques such as using quotation marks, wildcard symbols, and Boolean operators are introduced to refine searches. Additionally, it discusses structuring search statements with parentheses for comprehensive results and encourages iterative searching.
- 1.16: How Do I Synthesize Sources for Exploratory Research?
- This page covers the concept of synthesis in writing, emphasizing its significance in college essays and research. It discusses how to organize and combine information from various sources effectively and the role of synthesis in everyday life and workplace reports. Additionally, it provides guidance on exploratory research synthesis and warns against over-reliance on AI tools, stressing the need for responsible use to maintain personal development and academic integrity.
- 1.17: How do I Write an Introductory Paragraph for a Research Paper?
- This page covers the importance of introductory paragraphs in essays, outlining techniques to engage readers, such as hooks, and stresses the need for a structured thesis. It also explores factors influencing mate selection, focusing on cultural values and ancestral influences. Moreover, the page introduces hybrid writing, demonstrating how to blend personal content with generative AI to create captivating hooks, highlighting the balance between engaging style and academic rigor.
- 1.18: How Do I Give and Receive Peer Feedback?
- This page emphasizes the significance of peer review in writing, highlighting its role in providing objective feedback for drafts. It explains how constructive criticism can enhance writers' understanding and lead to better revisions. The ethical use of generative AI tools for feedback is also addressed, noting potential privacy and intellectual property concerns.
- 1.19: How Do I Revise and Edit My Own Work?
- This page presents a structured five-step approach for revising and editing academic papers, emphasizing the importance of unity in thesis, adequate support from sources, logical coherence and cohesion, appropriate academic style, and meticulous attention to grammar and formatting. Following these steps aims to improve clarity and professionalism in writing.
- 1.20: Verification Checklist for AI-Assisted Research
- This page provides a detailed checklist for researchers using AI and large language models in academia. It highlights the need for thorough documentation, prompt engineering, data verification, and output analysis in research. After research, it focuses on quality control, reproducibility, transparency, and ethical considerations.
This page titled 1: Unit One- Exploratory Research was last modified on Wed, 04 Feb 2026 19:13:50 GMT and is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Liza Long via source content that was edited to the style and standards of the LibreTexts platform.
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