Activating Engagement and Cognition with Student-Generated Historical Images and Artifacts
Course Subject: | Sociology of Boston |
Student Level: | First-year |
Number of Students: | 20 students per class, 2 sections |
Developed by: | Balazs Szelenyi, International Programs, College of Professional Studies |
What Students Did
Students used generative AI to create images of fictional historical characters and their artifacts in the classroom exercise. Following the creation of these images, they critically analyzed the output produced by the AI.
In a recent classroom activity, students employed DALL-E, a generative AI tool, to visualize the topic of Irish Immigration to Boston in the 1850s. Dall-E produced an image depicted a young immigrant girl in the 1850s, seated at a pier with the Custom House clock tower in the background. We used this as a teaching moment to highlight that the clock tower hadn’t been built at that time. This exercise served as a practical introduction to media literacy, emphasizing the importance of critically assessing and understanding historical contexts in images.
Learning Goals and Purpose
We were building content knowledge related to the topic, which during that portion of the class was Irish immigration, but also the capacity for critical consumption of media. Digital media literacy skills combined with lessons on prompt engineering skills are important, and they will be even more important as images and videos are increasingly being generated with AI.
Assessment
These assignments are usually done in class. Images, artifacts, and reflections are uploaded to Canvas as part of their participation grade.
By creating this visual discussion I had to slow down the class, but the cognition level rose. It’s really important to know that when you are creating these images, you are checking the student’s ability to spot the mistakes.
Faculty Reflections
I wanted to have a student-centered pedagogy where students were engaged in the materials. It created a personalized learning experience because students were involved in the creation of the letters, the images, etc. Students’ prompt engineering skills noticeably improved. Some students took it to a level where they were creating 5-6 minute videos. I started to lecture less, and the students started to produce more, and then we had conversations around the products that they were producing. This is really working for me right now.
Step-by-Step Student Instructions
Module: Immigration
Step 1 | Develop background knowledge: Students are assigned background readings on Irish immigration and watch a documentary from the Irish in America series. |
Step 2 | In two groups, work with a given character to do the following:
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Step 3 | Project the character images and their artifacts on screen in class, drawing on their background knowledge from readings and video to discuss the following questions: What is accurate? What is a hallucination? How do you know? |
Step 4 | Complete follow-on exercise using Chat-GPT to generate a play about the experience of Irish immigrant Mill Girls in Lowell, Massachusetts. |
Step 5 | Complete written assignment: Drawing on their background work and in-class experience, students wrote and submitted essays about immigration to Boston in the mid 1800s. |
Module: Gentrification
Step 1 | Develop background knowledge: Read excerpts from People’s History of Boston by Jim Vrabel |
Step 2 | Use DALL-E 3 to generate images of slums and slum lords in the South End |
Step 3 | Projected on screen, do a close reading of the images that were generated, for example asking “what do you see?” and “who’s in the windows?” |
Download PDF version of this assignment
Related Materials
- Instructor Blog Post 1 on authentic activities
- Instructor Blog Post 2 on visual activities
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