Learning Object
Ready-made Canvas Module that explores one way of introducing students to the research process, providing them with the opportunity to practice planning and executing their research. Note: the last video will not show up because it is specific and accessible only to my institution. But it's just a 5-min library orientation video. Feel free to use/substitute a similar type of video that covers your library! Approx. Completion Time: ~45 min Help with importing objects from Canvas Commons: https://ittraining.iu.edu/help/import-from-canvas-commons/index.html
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This activity involves using Generative AI platforms, such as ChatGPT, Claude, Gemini, and Pi.ai, to assist in brainstorming and refining research questions. Students will experiment with different prompts, and engage in a conversational approach with the AI to get the best, most useful results.This activity is intended to provide students with an introduction to effective GenAI prompt construction and does not explore the ethical issues of using this technology. Estimated Time: ~1 hour, give/take 15 minThis activity is structured into three main sections:Narrowing a Topic:Experiment with different prompts to see which ones work best for narrowing down a research topic.Record the effective prompts and note whether a single interaction (single-shot) or multiple interactions (few-shot) were needed.List additional topic suggestions provided by the AI and evaluate their relevance.Refining Your Research Question:Test various prompts to refine a research question.Identify the most effective prompts and determine if a single-shot or few-shot approach was more beneficial.Document other research questions suggested by the AI and assess their usefulness.Generating Keywords/Phrases for Library Database Searches:Use prompts to generate keywords and phrases for searching in library databases.Note which prompts were most effective and whether a single-shot or few-shot approach was used.List additional keywords or phrases suggested by the AI and consider their applicability.
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CC Attribution-NonCommercial License CC-BY-NC
This is an outline of the session "AI Literacy at Lunchtime: Research Tools," part of the TTUL's AI Literacy workshop series. This is a discussion based series that allows for critical examination of AI tools, generative tools, and their applications in research.Session is meant to be approximately one hour. Our sessions are conducted in hybrid form (online through Zoom and in-person). These tools can offer ways to simplify workflows, look for connections between papers and researchers, and offer different perspectives that we might not usually see with regards to traditional literature searches of academic databases. Learning Objectives:Differentiate which tools are considered AI tools for literature reviews Evaluate tools such as Research Rabbit, Connected Papers and Rayyan. Utilize tools like Semantic Scholar
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CC Attribution-NonCommercial License CC-BY-NC
Texas Tech University Library’s AI Literacy workshop series developed weekly for spring 2024. Included here are materials related to part 1. This resource can be used as a general starting point for introducing and understanding the technology. Additionally, the workshop utilizes Padlet to facilitate discussion for active learning in a hybrid setting. Sessions can be held online, in-person, or hybrid. These sessions are also for broad appeal, and included faculty, staff, graduate students, and undergraduate students in attendance.Learning objectives for this session included:Understand what generative AI is.Understand the background of generative AI in higher education.Understand the biases and other problems inherent in AI systems.This resource drew on many different aspects within the ACRL Framework.Included in the documentation is an outline with discussion questions and slides.
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CC Attribution-NonCommercial License CC-BY-NC
The Hidden Layer Workshop introduces key generative AI (genAI) concepts through a privacy lens. Participants probe the possibilities and limitations of genAI while considering implications for intellectual privacy, intellectual property, data sovereignty, and human agency. An original PROMPT Design Framework and worksheet guide participants through the iterative process of prompting generative AI to optimize output by specifying Persona, Requirements, Organization, Medium, Purpose, and Tone. In the centerpiece activity, participants engage in a hidden layer simulation to develop a conceptual understanding of the algorithms in the neural networks underlying LLMs and their implications for machine bias and AI hallucination. Drawing on Richards’s theory of intellectual privacy (2015) and the movement for data sovereignty, and introducing an original framework for the ethical evaluation of AI, Hidden Layer prepares participants to be critical users of genAI and synthetic media.The workshop is designed for a 60-minute session, but can be extended to fill the time available.Includes workshop guide, presentation slides, learning activities, and assessment instrument.
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CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA
Graphic organizer that takes students through the 5 W's (Who What Where When Why). Includes prompt questions.
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CC Attribution-NonCommercial License CC-BY-NC
FAQ, Discussions in the Higher Ed Community, Writing Assignments, Assessment, AI in the Classroom, Plagiarism & Academic Integrity, AI Detectors, Sample Syllabus Policies, Ethical Considerations...and more
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CC Attribution-NonCommercial License CC-BY-NC
Tips and Advice on using ChatGPT effectively and ethically (English & Spanish)
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CC Attribution-NonCommercial License CC-BY-NC
A group of four librarians from varied disciplinary backgrounds came together to examine issues of artificial intelligence and large language models. We are of the opinion that Pandora's box has been opened. Students will use ChatGPT, so it is important that we engage our students to promote a deeper learning and awareness of this technology and its limitations. As a result, we participated in a semester-long ChatGPT workshop sponsored by our institution's writing center. We explored various aspects of generative pre-trained transformers (GPTs), particularly where it intersects with information literacy, visual literacy, digital literacy, and privacy literacy. We created learning activities closely tied to learning outcomes derived from the Association of College and Research Libraries’ (ACRL) Information Literacy Framework and ACRL's Framework for Visual Literacy in Higher Education. Each centers on a frame and contains an overview of the information or visual literacy issue as it relates to ChatGPT or AI tools. We designed each with customizations appropriate for the different approaches taken in humanities, social sciences, and science courses.
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CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA
A visual representation of the publishing process and how access is provided that includes what free labor is contributed to the process and how publishing companies make astronomical profits from freely given materials
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CC Attribution-NonCommercial-ShareAlike License CC-BY-NC-SA
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