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Learn how to pick the best journal or publisher for your article or book, retain rights as an author, create a Google Scholar profile or search alert, use Academic Works
35 events found.
Events
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Over the years, the CUNY IT Conference has invited us to explore the challenges and opportunities presented by technology: from "Good Moves in Hard Times," to "Opening Access," to "Us and It: CUNY in the Age of Generative AI." Along the way, we’ve examined how to connect across systems, collaborate intentionally, and reimagine the way |
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We’ll be celebrating two of our faculty authors. Jennifer Sears will share work from her debut story collection What Mennonite Girls Are Good For, winner of the John Simmons Iowa |
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Speakers: Joseph Franklin, Anna Falvey, and Amelia Gramling from City Tech Writing Center, and Rachel Rodriguez from Washington College Zoom Registration HERE
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Empowering Learners with AI Literacy:How AI can contribute to developing 21st century skills for students; Ethicial implications from a student perspective; importance of teaching prompt engineering. Speakers: Joseph Franklin, Anna Falvey, and Amelia Gramling from City Tech Writing Center, and Rachel Rodriguez from Washington College Zoom Registration HERE
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Join us for the December workshop – Quantitative Research Methods! Professors Ellen Kim, Jen Hoyer, and Benito Mendoza will discuss survey research, data visualization for bibliometric analysis, and research with large language models (LLM’s) Register HERE
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This hands-on workshop introduces educators and instructional designers to Notebook LM, a powerful AI-powered tool for organizing content and generating engaging explainer videos. Participants will learn how to transform complex topics into clear, concise visual narratives using curated sources, structured outlines, and AI-assisted scripting. The session emphasizes pedagogical strategies for storytelling, accessibility, and learner engagement. |
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This talk will discuss an approach to infusing Computational Thinking (CT) and AI concepts into existing lecture activities within non-computer science subject material Professor Douglas Moody will discuss the fundamental building blocks of AI tools (such as Large Language Models), followed by demonstrations of how www.ctforall.net resources can guide incorporation of these building blocks into lecture |
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