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The AI Empowerment in Higher Education workshop series equips faculty, staff, and university leaders with the skills to leverage artificial intelligence (AI) in higher education. Spanning four engaging workshops, this series progresses from AI fundamentals to practical applications using tools like ChatGPT, Google’s Gemini, and Microsoft Copilot. Participants will explore AI’s potential to enhance teaching, research, curriculum development, operations, and administration, with a focus on ethical use and innovative integration. Designed for interactive learning, the series encourages hands-on exploration and strategic implementation of AI, fostering an MSU Denver culture ready for the future of education.
Learning Objectives
Understand the Foundations of Artificial Intelligence
Participants will be able to explain the basic concepts, history, and types of AI, including machine learning, deep learning, and neural networks, and understand their implications in various fields.
Recognize the Ethical Implications of AI
Attendees will gain an understanding of the ethical considerations, data privacy issues, and potential biases associated with the development and application of AI technologies.
Identify and Evaluate AI Applications in Education and Administration
Participants will learn to identify potential AI applications within their specific roles and evaluate the benefits and challenges of implementing such technologies in academic and administrative settings.
Demonstrate Proficiency in Using Generative AI Tools
By the end of the series, attendees will be able to proficiently use generative AI tools, such as ChatGPT, DALL·E, and Microsoft Copilot, for tasks relevant to their roles, including content creation, data analysis, and administrative support.
Apply AI Tools to Enhance Academic and Administrative Tasks
Participants will acquire the skills to integrate AI tools into their daily workflows, enhancing efficiency, creativity, and decision-making in academic and administrative tasks.
Develop Strategies for Implementing AI in Educational Environments
Attendees will learn to develop and implement strategies for integrating AI technologies in teaching, learning, and administrative processes, with an emphasis on ethical use and accessibility.
Foster an AI-Ready Culture Within the Institution
Participants will understand the importance of and strategies for fostering a culture that embraces AI technologies, encouraging continuous learning, experimentation, and adaptation among faculty, staff, and students.
Anticipate and Prepare for Future AI Trends in Higher Education
Attendees will gain insights into emerging AI trends and technologies, preparing them to anticipate future developments and their potential impact on higher education.
Engage in Collaborative Learning and Innovation Using AI
Participants will learn to collaborate using AI tools, fostering innovation in curriculum development, research, student support, and operational efficiency.
Critically Assess AI Tools and Technologies
By the end of the course, participants will be able to critically assess AI tools and technologies, considering their reliability, accuracy, and ethical implications, and make informed decisions about their adoption and use.
Workshop Outlines and Recordings
Access slides here.
Workshop 1 Objective: Familiarize participants with the basics of AI, including its history, key concepts, and the various types of AI technologies. This session sets the foundation for understanding how AI can be applied in educational and administrative contexts.
Outline:
- Introduction to AI: Overview of AI, its history, and evolution.
- Understanding AI Technologies: Introduction to key AI concepts like machine learning, deep learning, neural networks, and natural language processing.
- AI in Everyday Life: Examples of AI applications in daily life to help participants relate to the technology.
- Ethical Considerations: Brief discussion on the ethics of AI, data privacy, and bias.
- Interactive Q&A: Address misconceptions and questions.
Recording available after workshop is completed.
Objective: Dive deeper into generative AI technologies (like GPT, DALL·E) and explore their applications in academia and administration.
Outline:
- Generative AI Deep Dive: Explain generative AI, how it works, and its significance.
- Case Studies: Present case studies of generative AI in education, research, content creation, and more.
- Hands-on Demonstration: Interactive demo of tools like ChatGPT or DALL·E, showing real-time examples relevant to academia.
- Discussion on Potential Applications: Brainstorming session on how generative AI can be used in participants’ specific roles.
- Ethical and Responsible Use: Guidelines for ethical and responsible use of generative AI in educational settings.
Recording available after workshop is completed.
Objective: Provide practical training on using AI tools like ChatGPT, Microsoft Copilot, and other relevant technologies in academic and administrative work.
Outline:
- Tool Overviews: Detailed introduction to each tool, focusing on features relevant to educators and administrators.
- Practical Exercises: Guided exercises where participants use AI tools for tasks like drafting emails, creating content, or analyzing data.
- Integration Strategies: Discuss how to integrate these tools into existing workflows for efficiency and productivity.
- Privacy and Security: Addressing data privacy, security considerations, and best practices when using AI tools.
- Feedback and Discussion: Collect feedback on usability and discuss potential challenges and solutions.
Recording available after workshop is completed.
Objective: Explore advanced applications of AI and emerging trends, empowering participants to envision future uses in their domains.
Outline:
- Advanced AI Technologies: Introduction to more advanced AI technologies and their potential impact on higher education and administration.
- Future Trends in AI: Discussion on emerging AI trends and how they might shape the future of academia.
- Project Ideas: Workshop session to develop project ideas or initiatives that could leverage AI within participants’ areas.
- Building an AI-Ready Culture: Strategies for fostering an environment that encourages the use of AI tools among staff and faculty.
- Wrap-Up and Resources: Summarize the series, provide additional resources for learning, and discuss next steps for implementing AI initiatives.