Session Details

Alex Fronduto

Join us for an interactive *Prompt-a-Thon* where you will explore the fundamentals of prompt engineering to maximize the potential of Generative AI tools. Whether you are a beginner or have some experience, this hands-on session will guide you through crafting effective prompts to generate creative content, solve problems, and enhance productivity. Participate in real-time exercises, collaborate with peers, and leave with practical skills to apply Gen AI in your projects and workflows. Perfect for anyone eager to harness AI’s capabilities with precision and creativity! (TL) [4, 10, 11]

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Lin Zhou

This presentation will explore the key insights from a completed workshop series titled “Embracing Generative AI in Higher Education.” Focused on teacher education, this series equipped educators with essential AI literacy, practical strategies for integrating AI into teaching, and addressed the ethical considerations surrounding AI in education. Participants will engage in an interactive discussion, sharing their experiences and collaboratively exploring solutions to the challenges of incorporating AI into pedagogical practices. The session will emphasize the role of generative AI in transforming both teaching and learning. (TL) [1, 4, 8, 11]

Cristine McMartin-Miller, Ilka Kostka, Rachel Toncelli

Drawing from research and our extensive experiences teaching multilingual learners, this interactive panel will allow participants to exchange strategies for responding to multilingual students’ AI use. We will begin by exploring the nuanced reasons that multilingual learners might utilize Gen AI in their assignments (e.g., seeking language support, wanting to impress professors, or lacking familiarity with a genre). We will then provide a series of common scenarios that faculty may encounter (e.g., addressing inappropriate AI use in a class assignment, addressing students’ complaints of other students’ use of AI). With audience participation, we will explore ways of addressing them. (TL) [1, 7, 8, 9, 10, 11, 12]

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Yvonne Leung, Behnaz Merikhi, Yuen Shek

This workshop empowers educators with knowledge and practical tools to effectively use generative AI in teaching and mentoring students. First, participants will explore AI tools for interview preparation and experience their effectiveness for practicing both behavioral and technical interviews. Then, we will demonstrate how to build a generative AI tool that provides personalized feedback on resumes. Finally, we will discuss some implications of intellectual property law and AI legislations with engaging short case scenarios. Educators will understand how to safely and effectively integrate generative AI into a classroom to improve student career readiness. (WD) [1, 6, 10]

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David Fields, Henri Hammond-Paul, Alayna Schwarzer, Dhruv Kamalesh Kumar, Diane Grant

We have developed a program called Ai for Impact which has both undergraduate and graduate co-op students, earning course credit while working full-time for 6 mos. developing generative AI tools to solve public problems with government and non-profit partners. We call it a product-based course and have most recently completed projects with 5 different agencies for Governor Healey and will be adding on California and New Jersey in January. Our panel will include students and faculty (https://burnes.northeastern.edu/ai-for-impact-coop/). (WD) [4, 6, 8, 9, 10, 11]

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Uwe Hohgrawe, Allison Ruda

AI Engagement Workshop AI and skill-based learning are key initiatives of CPS: 1. Immersing Artificial Intelligence in everything we do & 2. Customer and student focus integration of skill-based real-world learning in everything we do. As part of these Key Initiatives an Engagement Workshop with Faculty/Part-Time Faculty is planned: The basic themes of the workshop: 1. What’s new in AI/ML across our Faculty workplaces? 2.What real-world skills/needs are met; what skills/needs are unmet? 3. How can Northeastern/CPS prepare students, and the learning workers with the required real-world skills to be successful? 4. How can we work together to support Northeastern/CPS to get there? (WD) [4, 6]

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Patty G Hayward, Lucy Bunning, Wallace Lages

Higher education and workplaces have expressed an increased need and priority for intercultural training to facilitate collaboration in a global workforce(World Economic Forum, 2023). This presentation proposes an intercultural experience exploration using a generative AI (Gen AI) tool. This approach takes advantage of the inherent bias in these models to create customized case studies which are relatable for rich learner discussions. Presenters will discuss the supporting theory and provide examples on how educators can best use LLMs to support inclusive learning environments. The Presenters offer both a tested Gen AI case study template for learning activities and a LEAP (Launch, Experiment, Assess, and Ponder) workshop format available for execution. (TL) [1-10]

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Les Stein, Teresa Goode, Nancy Pawlyshyn, Sriram Rajagopalan

In a roundtable format, our focus will be on exploring operational and logistical issues related to AI that faculty must manage in delivering instruction. Further, we will address the leadership imperative for faculty to pave the way for students grappling with ethical issues and workplace demands for AI fluency. Our inquiry will be guided by the following question: What leadership role do faculty have in the changing academic landscape created by AI? (TL) [1, 2, 3, 5, 8, 9, 11]

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Mamta Saxena, Susan Gracia

This interactive session explores the critical role of data literacy as a foundation for comprehensive AI literacy in higher education. Participants will engage in discussions on how data literacy empowers faculty to understand, utilize, and critically evaluate AI applications across various domains and navigate occupational shifts in faculty work with agility and adaptability. The session will cover the broad spectrum of AI applications in education, including ethical considerations. Presenters will share university resources for enhancing data literacy skills, equipping faculty to integrate AI competently and responsibly in their work.  (WD) [4, 6-12]

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Jim Holst

Communicating with students through email, announcements, or Canvas can be daunting due to the sheer number of students and the posts which are generated. As professors, it’s crucial to ensure our communication is effective in tone, grammar, and spelling. Additionally, there’s a constant need to reference academic sources to foster a debate-like atmosphere in the online classroom. This hands-on demonstration will show you how to achieve these elements of online interaction using free AI tools available to you today. (TL) [4, 6, 10]

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Joe McNabb, Kelly Conn, Joan Giblin, Dan Serig, Chris Unger

In the Graduate School of Education, integrating Gen AI into doctoral and master’s programs is an emerging imperative. Embedding responsible Gen AI usage and ensuring that our students are equipped with both technical knowledge and ethical understanding involves revising curricula and adopting innovative teaching methods to address fairness, transparency, accountability, and privacy. Today’s panel will discuss our efforts and challenges with this initiative focusing on curriculum design and the readiness of our stakeholders (faculty member and students) for Gen AI integration. (TL) [10]

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1. Integrating Multimodal Projects to Strengthen Community Engagement in Courses
Veronika Maliborska

This presentation summarizes a multimodal project designed to deepen students’ engagement with local clubs, organizations, and communities while building digital literacy and AI prompt-writing skills. Through this project, students analyze secondary sources, explore campus and community organizations, investigate a community of interest, design interview questions, conduct interviews, and tailor their writing for various audiences. The project includes both a research component, where students submit a research paper, and a multimodal component, allowing them to choose from digital genres introduced in the course. Using a multimodal project fosters a dynamic exploration of community, preparing students to become informed global citizens. (TL) [1, 2, 4, 10]

2. Enhancing Cross-Cultural Project Management: The Role and Challenges of AI in Effective Communication
Sanaz Ghazi, Shannon Alpert

Artificial intelligence (AI) significantly enhances cross-cultural communication in project management by overcoming language barriers, facilitating real-time translation, and fostering personalized interactions. AI chatbots provide multilingual support, cultural sensitivity, and accurate responses, creating inclusive communication experiences within project teams. Key AI applications in cross-cultural project management include intelligent collection, production, delivery, and management of communication content, improving the authenticity and effectiveness of project interactions. AI-driven tools analyze cultural data to provide deeper insights, enabling project managers to tailor communication strategies to diverse team members. However, challenges such as biases, privacy concerns, and ethical issues must be addressed to maximize AI’s benefits. With careful implementation, AI can bridge cultural gaps, promoting global collaboration and project success.   (TL) [4, 10]

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Andrew Kinley

What happens in analytics when we embrace AI first? Can students think deeper, ask better questions, and produce insightful answers, or do they risk becoming mere conduits of information? Over six weeks in our introductory course, I explored how AI influences student engagement and inquiry. In this lecture, I will share insights on fostering critical thinking, the challenges of evaluating student understanding when AI is a tool, and strategies to ensure mastery of essential inquiry skills. (TL) [1, 2, 4, 5, 10]

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Chris Cook, Corliss Thompson

After a 15-minute PPT presentation, participants will be asked to explore how they are building their network strategically using AI tools and how they are doing so in aligned ways to support College initiatives. We will discuss a few case studies from the GSE during the 23-24 school year, and how partnership work requires direct engagement, while also leveraging AI tools. (PD) [1, 6-9]

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Francesca Grippa, Chris Unger, Allison Ruda

Chris Unger and Allison Ruda will showcase their research using Large Language Models (LLMs) to enhance experiential learning and deliver personalized coaching to learners wherever their learning journeys take them. We will share tools to spark imagination for how these approaches can accelerate skill development and enable experiential learning for your students and invite you to engage with us in use-inspired research and development to enable experience-driven, work-integrated learning.

(TL) [All]

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Vladimir Shapiro

Students in diverse academic programs often have varying prior knowledge levels, from a bachelor’s degree to completing only a few community college courses. This disparity poses challenges in applying uniform performance assessment criteria, which could discourage students with weaker backgrounds. Drawing inspiration from AI/ML training methods, particularly gradient boosting and neural networks, the proposal introduces an adaptive approach where students with weaker backgrounds can progressively improve through targeted feedback and boosted grades in the areas they trail the most. The goal is to help these students close the gap with their stronger peers, given their motivation and ability. [TL] (1-5)

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