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Session Description

Ticketed event: Developing Workshops - $12.95
As AI-infused tools increase in popularity, it is important to understand their impact on engineering classrooms. Join faculty developers in Engineering as we discuss how to create workshops for your stakeholders on how AI tools integrate into instruction and student’s learning experiences. In this workshop we provide guidance for faculty developers on how to introduce AI tools such as ChatGPT and others on the rise. This workshop guides participants on what opportunities exist for developing training on student engagement, integration of AI in instructional practices, and discusses limitations of the most common AI tools. The workshop ends with insights into AI’s diversity, equity, and inclusivity implications and how to train others to work within those parameters.

Format:
The workshop will be covering 3 primary areas. For each of these areas, participants will have individual work time to reflect about areas of development for their stakeholders and small group collaboration time to share their ideas and receive feedback. At the end of the workshop, facilitators will build in opportunities for large group discussion and sharing of best practices.
1. Introduction to AI tools that are on the rise with specific examples on how these tools might be used for educational purposes.
2. Integrating common AI tools into instruction, assessments, and student learning
3. A discussion around AI’s diversity, equity and inclusivity implications and how you can develop a workshop for your stakeholders to think through these implications as they use AI tools in their classrooms.

Schedule of Activities and Content:
1. Introduction to AI Tools in Engineering Education, 25-30 mins (Breakdown: 15 mins intro/presentation; 5 mins individual thinking/reflection; 10 mins for small group discussion)
2. AI tools for instructional use and student engagement activities, 25-35 mins (Breakdown: 15 mins intro/presentation; 10 mins individual thinking/reflection; 10 mins for small group discussion)
3. AI's diversity, equity, and inclusivity implications, 25-35 mins (Breakdown: 15 mins intro/presentation; 10 mins individual thinking/reflection; 10 mins for small group discussion)
4. Conclusion and large group discussion, 10-20 mins (5 mins best practices discussion, 15 mins for large group discussions)

Deliverables:
1. 2-hour workshop, including materials (electronically hosted) that participants can use beyond the workshop
2. A handout containing key resources (links to tools, descriptions, key articles)
3. Examples of activities for immediate application
4. Checklist of best practices

By the end of this workshop, participants will be able to:
1. Explore various upcoming AI tools being used for content development and gain insights on methods to train instructors on the use of these tools.
2. Learn instructional practices on how AI can be used in Engineering Classrooms.
3. Discuss opportunities for student engagement with ChatGPT in the engineering classroom.
4. Gain insights into AI’s diversity, equity and inclusivity implications

This workshop is proposed by members of the Engineering and Computing Education Core (ECEC), at the College of Engineering at the University of Nebraska-Lincoln.

Moderated by

1. Dr. Michelle Soledad

Speakers

1. Ms. Yaoling Wang

   University of Nebraska - Lincoln

   Yaoling Wang is an instructional designer at the Engineering and Computing Education Core within the College of Engineering at the University of Nebraska-Lincoln. She holds a B.S. in Computer Science from Nanjing Normal University, China, and an M.S. in Curriculum and Instruction from Iowa State University. Currently, she is pursuing her doctoral degree in Educational Psychology from the University of Nebraska-Lincoln. Her research interests focus on the relationship between meaning in life and well-being, and its implication for academic experiences and performance.

2. Markeya Peteranetz

   Dr. Peteranetz is the Assistant Director of Assessment & Analytics for the University of Nebraska-Lincoln College of Engineering. She earned her B.S. in psychology from the University of Nebraska at Kearney, and her M.A. and Ph.D. in educational psychology from the University of Nebraska-Lincoln. Her research interests include the impact of instructional practices on student learning and motivation, and sources of within-person variation in motivation and self-regulated learning.

3. Amie Sueann Sommers

   Dr. Sommers is the Senior STEM Education Specialist of the Engineering and
   Computing Education Core for the University of Nebraska-Lincoln, College of Engineering. She earned her B.S. in Wildlife Biology at Kansas State University, her M.S. degree in Biology from Texas Tech University, and her PhD focused on discipline-based education research from the University of Nebraska-Lincoln. Dr. Sommers’ work focuses on supporting teaching excellence in the College of Engineering through professional development opportunities and pre-award support for education-related grant work.

4. Dr. Tareq Daher

   University of Nebraska - Lincoln

   Dr. Daher is the Director of the Engineering and Computing Education Core (ECEC) for the University of Nebraska-Lincoln, College of Engineering. Tareq earned his B.S in Computer Science from Mu’tah University in Jordan. He earned his M.A and Ph.D in Educational Studies with a focus on Instructional Technology at UNL. Dr. Daher collaborates with Engineering faculty to document and research the integration of innovative classroom instructional strategies in Engineering Classrooms, supports educational components of grants, delivers teaching-focused professional development. His work explores the role of implementing online, blended, and flipped models in enhancing instruction and learning in Engineering programs, while bridging quantitative and qualitative methods.

5. Dr. Michelle Soledad

   Virginia Polytechnic Institute and State University