| 9:30 AM | Workshops (Included with Conference Registration) |
SESSION CANCELLED: Outside the Chatbot: Hands-On with LLMs for Online Learning Tasks
Tags: Artificial Intelligence
This hands-on workshop explores techniques for harnessing different large language models (LLMs) for various online learning design, instructional, and administrative tasks. Using APIs, participants will directly access these LLMs to see how they can support different processes in online learning. One demonstrated workflow will move from an archived lecture to an invitation to play it on YouTube. They will see how different LLMs have been combined to revise video scripts for online courses. In addition, they will observe how manipulating the system role can help create an advising report based on a syllabus and course attributes. As part of the session, attendees will interact with a Jupyter Notebook to try out leading large language models, including OpenAI's GPT-4 and Cohere's command. Participants will sign up for trial accounts with credit to complete the tasks. While experience with Python or programming is helpful, the notebooks can be followed with minimal experience.
3:00 PM |
Concurrent Session I |
AI an Asset Is: Using the Force of Generative Artificial Intelligence Tools for Innovative Education—Beyond the Cheating Stigma
Tags: Artificial Intelligence; Faculty; Curriculum
This session will present several examples of BYU's AI-powered assignments from online courses in various disciplines, including public health, psychology, world languages, family sciences, and biology. Each assignment requires students to use AI tools to accomplish a specific goal, such as conversing with simulated personas or creating a work that students critique. These assignments enable valuable learning and assessment experiences that are difficult or impossible without AI. In many cases, they also teach students skills that help them to become ethical, intentional, and effective users of AI in their careers. Attendees will explore and brainstorm further possibilities for assignments that harness the power of AI to achieve and assess learning outcomes.
The Future AI Professor: Charting the Course for Next-Gen Higher Education
Tags: Artificial Intelligence; Faculty; Curriculum
In the rapidly evolving landscape of higher education, the integration of Artificial Intelligence (AI) stands as a beacon of transformative change. Concordia University St. Paul is proud to present a visionary roadmap for the future AI Professor, a concept that redefines the educational experience. This session is dedicated to exploring the multifaceted role of AI in shaping the educators of tomorrow and enhancing the learning journey and experience of students. Session presenters will shed light on the use of new technology tools in the areas of AI and machine learning for assessment, program design, student satisfaction, and other domains.
Teaching w/AI: Activities and Prompts you Can Use to Enhance and Engage
Tags: Artificial Intelligence; Instructional Design; Curriculum
The advent of generative artificial intelligence tools allow us to accomplish more and faster, both as students and instructors. Join this session and take away a host of activities and prompts you can use immediately to achieve deeper and engaged learning for your students and save time creating your student experiences.
4:15 PM |
Concurrent Session II |
Exploring the Impact of AI on Connection and Belonging
Tags: Artificial Intelligence; Learners; Instructional Design
In this panel conversation, we’ll discuss the rapidly evolving landscape of Artificial Intelligence (AI) in education, focusing on the dynamic between technological advancements and the impact they have on student connection and belonging. Hear how administrators are thinking about and redefining the student experience with AI. Key concepts covered in this session include the relationships between AI and students, the emerging landscape of EdTech, balancing instant access to knowledge with authentic relationships, and the importance of a sense of belonging. We’ll reference established frameworks in educational technology and psychology, offering personal perspectives in online, blended, and distance education.
Conversations with Colleagues
4:15 PM - 4:45 PM
Artificial Intelligence for CE/T Professionals and Adult Learners
Tags: Artificial Intelligence
Join us as we examine how AI is transforming various industries and job markets, offering insights into the opportunities and challenges it presents for career development. Moreover, we will critically evaluate the ethical concerns and potential risks associated with the development and utilization of AI. As we look to the future, we will explore the current and emerging applications of AI in adult learning principles, providing attendees with valuable insights into leveraging AI to foster critical thinking and problem-solving skills.
- Delaney King, International Accreditors for Continuing Education and Training (IACET)
4:45 PM - 5:15 PM
Developing an Online AI Course for Small Businesses
Tags: Artificial Intelligence; Credentials
This session will discuss the development of a new online course focused on applying AI in small businesses, a collaboration between the AI Lab and the School of Continuing & Professional Studies at Georgia College & State University in the development of a certificate program in AI for Small Businesses. The session presenters will share insights into the collaborative process, instructional design, key topics relevant for small businesses, and student feedback. With a focus on real-world problem solving, students gained practical knowledge on leveraging AI to streamline operations, lower costs, and drive sales. Participants will come away with an understanding of best practices in delivering an online AI course tailored to owners and the employees of small businesses.
- Angela Criscoe, Georgia College & State University
- Ward Risvold, Georgia College & State University
4:15 PM - 4:45 PM
Next is Now: Harnessing the Power of Artificial Intelligence in Higher Education
Tags: Artificial Intelligence
Over the past year, rapid advancements in generative artificial intelligence (AI) are realizing futuristic projections regarding this technology today. In other words, generative AI fundamentally alters how we think about writing and research skills and approach academic integrity (the other AI). This conference explores the imperative of developing a comprehensive AI strategy for universities to embrace artificial intelligence as a transformative force. The presentation will explore ethical considerations and challenges with implementing AI into a University strategy. By integrating artificial intelligence into all facets of a university, from administration, student affairs, and academic affairs, higher education can streamline approaches, enhance governance and decision-making, and foster a culture of intellectual growth and development for students, faculty, and staff. By delving into tangible case studies, encompassing the engagement of over 300 esteemed faculty members, our conference endeavors to impart actionable insights. Attendees will acquire practical strategies for integrating an artificial intelligence policy and strategy at their respective institutions. Feedback from faculty participants has been resoundingly positive, with expressions such as ""Worth tuning in!! I am so inspired now!"" and recognition of the vital importance of preparing students for ethical use of AI in the workplace. This conference promises to be an invaluable platform for higher education professionals seeking to navigate the complexities of AI implementation with informed and strategic approaches. The conference will provide a platform for dialogue among educators, fostering collaboration and knowledge-sharing to propel the higher education sector into a future where AI is seamlessly integrated into the fabric of academic and faculty excellence. Come with us as we dive into the possibilities of AI in higher education. Let's pave the way for a future that is innovative, adaptable, and centered around students." Explore the transformative impact of generative artificial intelligence on higher education in this conference. Gain practical strategies, insights from case studies, and ethical considerations to seamlessly integrate AI into university administration, student affairs, and academic affairs for enhanced governance, decision-making, and intellectual growth.
- Kailyn Helget, Rasmussen University
| 9:30 AM | Concurrent III |
From ZZZs to As: Enhancing Student Success through Generative AI-Guided Learning
Tags: Artificial Intelligence; Curriculum; High-Impact Practices
As a newly emerging, yet rapidly growing technology, Generative AI has significant implications for online course development and student experiences. In this session, we explore how an AI-enabled platform can enhance student success by providing high-impact on-line learning experiences, developing critical key soft skills, and creating efficiencies in how instructors design and evaluate course assignments.
1:45 PM |
Concurrent V |
AI and Humans Are Better Together: The Impact of Professor-AI Interaction on Student Writing
Tags: Artificial Intelligence; Research; Graduate Education
AI-powered tools aim to strike a balance between easing the workload of educators, particularly for tasks that can be automated, and preserving the perception of a genuine interaction between educators and students. In this session, we will share the outcomes of a study conducted in online higher education settings where AI was employed to evaluate the grammar, style, and use of citations of academic essays, while educators focused on assessing content. The research results will center on students' and faculty attitudes toward the AI system and underscore the significance of responsible innovation in this context.
Engagement: A Meaningful Multimodal Approach
Tags: Learners; Artificial Intelligence; Theory to Practice
This session will explore methodologies and technologies facilitating effective learner engagement in online learning environments. Modeling approaches this interactive session will engage educators, technologists, instructional designers, and researchers to discuss and share insights on innovative practices fostering interaction, collaboration, and active learning in online courses. Key topics will include the design of interactive and immersive content, the use of AI and adaptive learning tools, strategies for promoting social presence and community building, and the assessment of engagement in online courses. The session will also explore case studies demonstrating successful implementation of engagement strategies in online educational contexts and professional training. The goal is to share knowledge and the skills to create more inclusive, dynamic, and effective online learning environments, ultimately enhancing the educational experience and learning outcomes.
Leveraging Artificial Intelligence to Create Authentic Learning Experiences: What if AI is the Scaffolding Our Learners Need?
Tags: Artificial Intelligence; Learners; Theory to Practice
This session explores how AI tools can help designers and instructors leverage Kolb's Theory of Experiential Learning to create more authentic and meaningful learning experiences for our students. In doing so, educators can better leverage the time traditionally spent “covering content” to create more authentic learning experiences for learners who ultimately "own" the content as opposed to just reciting it. We identify authentic learning as creating experiences where learners co-create knowledge out of the content in their courses (using their own definitions, images, and understanding) and use it in their daily lives.
SESSION CANCELLED: Empowering the Future: Crafting a Campus-Wide AI Literacy Strategy
Greenway J | Tags: Artificial Intelligence; Faculty; Learners
This session will identify practical ways university leaders can elevate the conversation about generative AI, build gen AI experience and expertise amongst students, faculty, professional staff, and business partners, and position their units to be a key part of this transformational shift. Participants will be invited to share their ideas along with learning about proven strategies.
Revolutionizing Instructional Design: A Deep Dive into GPT-4-Powered Course Development and AI-Enhanced Learning Outcomes
Tags: Artificial Intelligence; Instructional Design; Learners
This session offers a sneak peek at an experimental AI tool that leverages GPT-4 to streamline course development by refining learning outcomes and auto-generating formatted quiz questions aligned to those outcomes, with the goal of promoting quality and efficiency in instructional design. Attendees will gain insights into the tool's functionality and development process, as well as guidelines for structured integration of generative AI into their own instructional design workflows.
| 8:30 AM | Concurrent VII |
AI in the Hands of Students: Not IF… WHEN
Tags: Artificial Intelligence; Learners; Faculty
Auburn Online, a department within the Biggio Center, created student-centered resources that highlight the use of AI for text, coding, or image generation within a course for assignments. The importance of these materials focuses on the understanding that AI is a tool that can enhance learning if students understand the best practices and ethical use of AI. By providing a framework for implementing appropriate use of AI in assignments, it empowers faculty and creates an atmosphere of growth for both faculty and student. The resources created provide faculty with information at their fingertips that they can easily incorporate into their courses and assignments, and it provides students with proper guidance in understanding the use of AI as a tool. This helps eliminate the “cheating” aspect many of us fear.
Using Generative AI to Create Online Courses: The New Imperative for Academic Integrity and Quality
Tags: Artificial Intelligence; Instructional Design; Accessibility and Belonging
Subject Matter Experts (SME) are likely to use Generative Artificial Intelligence (GenAI) tools to create the syllabus, texts, slide decks, scripts, assignments and exams of their online courses - without disclosing the use of GenAI to the institution. In this exploratory session, we share a trailblazing new approach to Online Course Development in which the entirety of the course is first created by Instructional Designers using GenAI, before being reviewed and enhanced by SMEs. This approach provides control over the content created by GenAI and promises significantly shorter production timelines at lower cost. More importantly, it allows SMEs to focus on their personal contributions to the content and opens up opportunities to create more inclusive, comprehensive and market-relevant courses overall. We will share the experiences and learning from our first prototype and engage the audience in an interactive discussion on the future of Online Course Development and Instructional Design with the perspective of creating more inclusive, accessible, comprehensive and market-relevant courses.
10:00 AM |
Concurrent VIII |
Identifying and Activating Student Foundational and Advanced AI Skills
Tags: Artificial Intelligence; Learners; Models & Frameworks
Join us as we delve into the challenges of defining foundational and advanced AI knowledge, skills, and abilities, and learn how our collaborative approach with diverse stakeholders led to the identification of seventeen key skills, forming the basis for the future of AI in our curriculum. We will share the research resources we used as the starting point, the final grouped skills, and how the foundational AI skills framework translated into a framework for advanced program-level skills.
Strategic Guide to Generative AI in Learning and Instructional Design
Tags: Artificial Intelligence; Instructional Design; Curriculum
This session will delve into the transformative potential of Generative Artificial Intelligence (AI) in the realm of learning and instructional design. We will explore practical methodologies, strategic considerations, and hands-on techniques for integrating Generative AI into educational practices. Key concepts covered include the utilization of AI-driven content creation, personalization of learning experiences, and the strategic deployment of Generative AI tools in instructional design.