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Spring AI in Teaching Symposium

AI in Teaching Symposium Spring

The third AI in Teaching Symposium is scheduled to run Friday, April 25, 2025. The symposium showcases practical AI implementations by DePaul faculty and staff. These demonstrations feature easily adaptable teaching strategies across disciplines. Browse previous symposium recordings and resources here.

  • Friday, April 25, 2025 | 1:00-3:00 PM
  • Format: Flex (Zoom and DePaul Center - room TBA)

CALL FOR PRESENTERS
Share your AI teaching innovations at the Spring Symposium! We're seeking 5 faculty presenters for our third AI in Teaching Symposium.

  • Presentation Requirements:
  • 10-minute demonstration of an AI teaching practice
  • 5-minute Q&A session
  • Supplementary written materials
  • In-person presentation at DePaul Center
  • High-quality recording for our resource library

Selected presenters will receive a $500 honorarium.

Proposal Deadline: Monday, February 3, 2025, at 11:59 PM

Ready to participate? Register for the symposium or submit your proposal.
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Tech Tuesdays for 2025

tech-tuesdays-2025

Three Tech Tuesdays that focus on AI (Artificial Intelligence) have been scheduled for the start of 2025:

1: Course Design and Creating Course Content with Generative AI

  • Date: Tuesday January 28.
  • Time: 12:00 - 1:00 PM.
  • Location: Flex (Zoom and DePaul Center TBA).

2: AI Plagiarism: Detection, Mitigation, and Course Policies
  • Date: Tuesday February 25.
  • Time: 12:00 - 1:00 PM.
  • Location: Flex (Zoom and DePaul Center TBA).

3: Generative AI Imagery and Video: Tools and Techniques for the Classroom and Beyond
  • Date: Tuesday April 29.
  • Time: 12:00 - 1:00 PM.
  • Location: Flex (Zoom and DePaul Center TBA).

More information about the sessions can be found on the Technology Tuesdays page, along with the option to register.

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Microsoft Copilot with Enterprise Data Protection

In September, 2024, Microsoft started retiring Copilot With Commercial Data Protection and replacing this service with the new Microsoft Copilot with Enterprise Data Protection. This has changed the additional protections that were highlighted on this page.

For up-to-date information, please refer to Microsoft’s documentation.
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AI in Teaching Symposium – Call for Proposals

AI in Teaching Symposium October 2024

The DePaul AI Institute is embarking on a series of signature events and collaborative resources that strategically and pragmatically integrate artificial intelligence into academic activities that promote student learning and enhance critical thinking skills. The AI in Teaching Symposiums are opportunities for DePaul faculty and staff to share and see how their colleagues have successfully utilized an AI activity or assignment into their teaching. Quick, simple, direct demonstrations that can be easily adopted in other courses at the university.

We are soliciting proposals from interested faculty members who would like to develop a brief presentation (along with accompanying resources) and present to the university community at the second AI in Teaching Symposium. The deadline for submission is Monday, September 23.

For the second symposium, up to 4 faculty members will be selected to present. The Symposium will be held on Friday, October 18, from 1-3 PM at the DePaul Center.

Here are the guidelines for the presentations:

  1. No more than ten minutes to present on an AI assignment, practice, or concept that can be implemented in other courses taught at DePaul.
  2. No more than five minutes for Q&A.
  3. Written resources (overview, recommendations, links, etc.) must accompany each presentation. These will be shared on the web.
  4. Presenting live from the DePaul Center during the Symposium.
  5. A high-quality recording of your presentation to be shared on a library of instructional AI use cases on the Institute’s Web site (the recording can be completed after the symposium but prior to the end of the fall quarter.

Presenters will be awarded a $500 honorarium.

The Symposium will be offered in a Flex format. The sessions will be recorded, but the recording will be only shared with DePaul faculty and staff in a password protected streamed format. The high-quality recordings of the presentations for the use case library will be recorded in the Driehaus College of Business’ video studio on the 8th floor of the DePaul Center. The time commitment for this effort would be a 15-minute Zoom call prior to recording, and then 45 minutes on the day of recording. Your assets and recording would then be publicly shared to the web.

The deadline to apply is 5PM Monday September 23. You can apply here.

You can register for the event here. Please note: The event is for DePaul faculty and staff only.

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Tech Tuesdays Guest Presentation: Beyond Prompting - There is more to AI than ChatGPT

Guest-Presentation

Larry Dribin will be guest presenting at Tech Tuesdays:

Beyond Prompting - There is more to AI than ChatGPT

On November 30, 2022, OpenAI, a small Artificial Intelligence company publicly released a new application, ChatGPT. Two months later, ChatGPT had over 100 million users making it the fastest growing application. ChatGPT is a new type of application called a Large Language Model (LLM) that uses Artificial Intelligence (AI) to provide human like solutions to a wide variety of problems. Today, numerous companies provide similar LLMs.

AI and LLMs can be excellent tools to help you, and your students during the learning journey. However, these tools can also provide incorrect information, fake references and hallucinations that sound quite believable. Thousands of companies are providing a wide range of AI and LLM solutions and have generated tremendous hype about what these models can do, with little concern about what they can’t do or the harm they can cause.

In today’s Tech Tuesday talk, Dr. Larry Dribin will take us on a journey to explore AI and specifically LLMs, provide an overview of how they work, and discuss some of the interesting solutions that AI researchers are creating beyond prompting.

AI is much more than LLMs and knowing a little about how AI works should enable you, as educators, to provide your students with a better understanding of the capabilities and limitations of Artificial Intelligence and Large Language Models. This knowledge should also enable you, as researchers, to open new areas of research to explore and improve the human condition.

Bio:

Dr. Larry Dribin has been an adjunct instructor in DePaul’s College of Computers & Digital Media (CDM) since 1981. He has taught courses in Data Analysis, Software Engineering and Measurement, Agile and Object-Oriented Development, Software Processes and Cloud Computing. This past year, he has been researching Large Language Models, how they work and how we might regulate them. Spring Quarter, 2024, he co-taught with Marco Chou, DePaul’s first course on Generative AI, IT390 Introduction to Generative Artificial Intelligence.

While teaching part-time, Larry also worked full time. He has had a diversified career in consulting, management, sales, and software development. He has worked in a variety of industries for large Fortune 500 companies and small startups. Larry has assisted clients implement new technologies, turn around failing projects and helped them comply with a variety of regulations. Larry was a Director in Cap Gemini Ernst & Young’s IT Excellence Practice (ITX) before starting his own consulting company, the Pearl Street Group.

Larry holds a Ph.D. in Industrial-Organizational Psychology from Illinois Tech (IIT – Illinois Institute of Technology), an MBA in Marketing from Loyola University, and a BS in Industrial Engineering from Illinois Tech.

  • Date: Tuesday September 24
  • Time: 12:00 - 1:00 p.m.
  • Location: TBA (Loop) and Zoom (Flex Event)

You can register here.

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