University of Kwazulu-Natal

Northeastern University Library Teaching Ai Literacy In The Research

Bonisiwe Shabane
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northeastern university library teaching ai literacy in the research

Research and Instruction Librarians can address generative AI in the context of information literacy as is relevant to your course and/or assignments to help prepare students to work with the ongoing evolution of GenAI... Librarians focus their learning objectives on skills, such as prompt generation and evaluation, that are transferable across Northeastern-licensed research databases and tools. For more information about AI tools available through the Northeastern University Library, please see the Northeastern University Library's Artificial Intelligence page. Planning a workshop or instruction session begins with reaching out to your subject librarian. Here are some other considerations: Session development and scheduling can take anywhere from 2 to 12 weeks, depending on the discipline, session scope, and semester timing.

Discuss your students’ existing skills or knowledge in your classroom, your course learning objectives, and/or assignments. Access library support for your teaching and learning. In-depth research help from your subject librarian or specialist Learn more by contacting your subject librarian. Library Instruction Coordinator Tel: (617) 373-3316 Northeastern University Library (NUL) stands at the forefront of digital transformation in teaching, learning, research, and scholarly communication.

NUL envisions a future where artificial intelligence serves as a catalyst for intellectual discovery, enhancing scholarly pursuits while deeply rooted in core library values of accessibility, equity, and critical inquiry, and truth-seeking. Through strategic external partnerships and interdisciplinary collaborations, NUL is pioneering AI integrations across numerous domains: Scite-AI: An AI-powered research platform that analyzes and provides citation context for scientific papers. Scite is built on a database of 1.2 billion citations from 200 million full-text peer-reviewed articles.* Scopus AI: Enter a natural language query and receive results from the largest multidisciplinary abstract and citation database including graphical representations showing connections among keywords, pointers to influential papers, and suggested related queries to... The Information: provides in-depth, breaking news articles about the global technology industry– including the areas of artificial intelligence, venture capital, crypto, start-ups, private equity in the technology space.

Enter your @northeastern.edu email address to link your Northeastern credentials. The Library provides access to numerous journals focused on Artificial Intelligence, including: The amount of information coming out about AI uses, is occurring as fast as the changes that are happening. Here are some that have come to our attention that we felt could be of interest to you. We have no doubt that there is so much more. If you have suggestions, please share and we will be happy to add them here for others to see.

AI tools can provide great assistance and potentially speed up the process. However, like all the other options available for literature searching there must be an understanding about the tool, what it has access to and how it might yield incorrect or irrelevant results. The articles below discuss some of the current challenges. Library databases and many other resources are adding AI features. The function varies. Some provide research assistance, others create a summary of the content displayed, similar to Google or other search engines.

Below are two resources that have specific research functions that are licensed through the library. The library licenses Scite.ai in the spring of 2024. It's resources are heavily STEM related. One key feature is the analysis of articles/publications that have cited a particular work. The results will show supporting or refuting the original article. Scite Assistant interfaces with a ChatGPT feature to help answer questions related to the included content.

Promoting an informed society around the uses and consequences of artificial intelligence. We study the intersection of media and AI. The AI Literacy Lab at Northeastern University, affiliated with both the School of Journalism & Media Innovation and the Internet Democracy Initiative, is a project focusing on media and public knowledge relating to artificial... Our goal is to foster a well-informed global society that can grapple with the promise, pitfalls, and consequences of emerging technology. If you’re a technologist in search of mission-driven projects, a journalist looking for guidance about AI, or a global citizen interested in using technology to enhance communication and democracy, please reach out — we... The 2024 Computation + Journalism Symposium at Northeastern University

Northeastern University’s College of Professional Studies is breaking new ground in artificial intelligence research through its LEARN Lab, where faculty and students are exploring innovative ways to integrate AI into teaching, learning, and qualitative... Led by Allison Ruda, associate dean of use-Inspired research & development and Chris Unger, teaching professor in the Graduate School of Education, the LEARN Lab has created a collaborative space for the CPS community... “This is an extension of use-inspired research,” explains Ruda. “We’re looking at what’s happening in the world around us and testing whether AI can help us address or solve these challenges.” The lab’s recent work includes a newly published hands-on guide for using AI responsibly in qualitative research. The guide emerged from 22 doctoral students’ cumulative reflections after engaging with AI tools throughout the course.

The lab was also involved in the recent AI Literacy initiative at CPS. Rather than relying on traditional survey tools like Qualtrics, researchers conducted voice-based, AI-powered interviews to assess AI literacy across the college. The approach yielded rich data and enabled the team to develop detailed personas representing different levels of AI understanding. It also sparked a new question: could AI assist in analyzing the large volumes of qualitative data generated? The Lab assembled an interdisciplinary team of faculty from Analytics, NU Global, and Education, along with an EI/AI graduate student, to evaluate how different data preparation methods influence the effectiveness of human-AI collaboration during... The Lab assembled an interdisciplinary team of faculty from Analytics, NU Global, and Education, along with an EI/AI graduate student, to evaluate how different data preparation methods influence the effectiveness of human-AI collaboration during...

The lab is also exploring AI’s potential as a “thought partner” or “critical friend” in teaching and learning design processes, moving beyond simple efficiency gains. Faculty members and doctoral students are designing AI-based coaches to assist teachers in a K-12 STEM school transitioning to competency-based approaches and to advise workplace learning intermediaries on redesigning their job placement and matching... We are studying how the story of AI is communicated through news and social media, as well as how public opinion is being shaped. We are analyzing knowledge levels as well as worries, concerns, and expectations. We will continue to field surveys and polls, in partnership with a variety of stakeholders. We are also implementing curricula and planning to partner with newsrooms and civic groups to do both trainings and workshops, as well as build networks that can provide support and capacity around emerging AI...

The use of AI to facilitate news media work, particularly around open source investigations (OSI), is also an area of interest and activity. Enter your email address to be the first to find out about news and programming from the AI Literacy Lab. This form is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Northeastern believes in the power of AI-human collaboration. We’re notonly using AI to advance groundbreaking research, but also to help develop frameworks, policies, and practices for deploying AI responsibly. Robotics, Control, and Dynamical Systems

Scalable Systems andHigh Performance Computing Scalable Systems andHigh Performance Computing Advancing artificial intelligence means applying the latest research to real-world challenges. Our teams of AI pioneers, leading data scientists, and renowned faculty work together at our institutes to help meet the world’s most crucial needs with AI. Standards for the Use of Generative AI in Teaching (opens in new tab) Policy on the Use of Artificial Intelligence Systems (opens in new tab)

Standards for the Use of Generative AI in Research (opens in new tab) Standards for the Use of Generative AI in Administrative Work (opens in new tab) AI at Northeastern: A Student Guide (opens in new tab)

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