AI Responsive Instruction

In this assignment, students used a generative AI tool before each guest lecture to learn key concepts, predict the lecture topics, or generate study materials based on the speaker's biography and session description. After the lecture, they reflected on how accurate and helpful the AI's response was.

In this assignment, students reflected on an AI image they created by prompting a free image generation platform of their choice.

In this assignment, students used Gemini to examine how AI-generated knowledge changed based on question framing and analyzed what those differences revealed about power, visibility, and privileged perspectives.

In this assignment, students analyzed the I-35W bridge collapse and developed a structural health monitoring plan. They selected sensing technologies based on background readings and used a generative AI tool to extract structural data for simulation.

In this assignment, students analyzed the Fukushima nuclear disaster using Performance-Based Earthquake Engineering and Resilience Engineering frameworks. They evaluated the causes of failure, compared their analysis with Gemini-generated responses to identify AI hallucinations, and investigated post-Fukushima technological advancements.

In this assignment, students analyzed vertical stress increases beneath a surface load using the Boussinesq method and compared it with alternative analytical approaches identified using a generative AI tool. Rather than using AI to solve the problem, students evaluated different methods and limitations to deepen their understanding and support engineering decision-making.

In this assignment, students completed steel and reinforced concrete girder designs, first solving the problems independently and then revising their work with the support of a generative AI tool. They also evaluated an AI-generated solution and identified errors in its reasoning.

In this assignment, students compared hand calculations with AI-generated solutions for stress transformations using Mohr's Circle. They evaluated AI responses, refined prompts, and examined the importance of prompt design, verification, and engineering judgment when using AI.

In this assignment, students performed seepage analysis beneath a dam using flow nets and compared their work with AI-generated flow nets. They tried different prompts and checked the AI's results.

In this assignment, students developed an outline for their final essay by defining a research question, drafting a thesis, identifying supporting evidence and sources, and using an instructor-designed chatbot to scaffold their brainstorming and outline development.