Overview of the Day:
My goal for the day is to engage in conversations about what we se in the data, what we can learn from the data specifically related to the research questions I am posing and that we have together posed in the past, and to have a larger conversation about why we think we are seeing these things emerge from our data. Additionally I am interested in how these types of participatory methodologies work in formal classrooms, what they allow for and what they don't, and how they were able to illuminate some aspect of our research questions.
Research Questions:
1. How do young people make sense of their local environments? What are the processes most impacting young people and are these positive, negative, neutral, impacts? How do young people's identities intersect with the meanings they make of these places?
2. What methods were utilized in class to best address these questions? What were the benefits of these methods? What were the limitations of these methods? How might these methods be modified to better understand the experiences young people have in their local environments?
3. What were the impacts (if any) of this course on young people? What were the classroom structures that led to this impact? What readings, films, experiences were most memorable? What changes in thinking took place? What are the lasting impacts of this shared experience?
2. What methods were utilized in class to best address these questions? What were the benefits of these methods? What were the limitations of these methods? How might these methods be modified to better understand the experiences young people have in their local environments?
3. What were the impacts (if any) of this course on young people? What were the classroom structures that led to this impact? What readings, films, experiences were most memorable? What changes in thinking took place? What are the lasting impacts of this shared experience?
Agenda:
9:00-9:30: Breakfast
9:30-10:00: Welcome, Introduction to the day, thank you's. What we hope to accomplish and why? What makes this special and unique in terms of more traditional research projects.
10:00-11:30: Data analysis round 1
11:30-1:00: Data analysis round 2
1:00-2:00: Lunch and confessional style where are you now.
2:00-3:00: Share out of small groups (10 minutes per group for both data sources)
3:00-4:00: Interpretation and group theme activity. What are the main themes in our data? Where do we see these in the data sources? Why do you think these are our themes and how do they answer our research questions?
4:00-5:00: Small group discussion of methodologies and how they addressed the research questions. Share out and wrap-up.
9:30-10:00: Welcome, Introduction to the day, thank you's. What we hope to accomplish and why? What makes this special and unique in terms of more traditional research projects.
10:00-11:30: Data analysis round 1
11:30-1:00: Data analysis round 2
1:00-2:00: Lunch and confessional style where are you now.
2:00-3:00: Share out of small groups (10 minutes per group for both data sources)
3:00-4:00: Interpretation and group theme activity. What are the main themes in our data? Where do we see these in the data sources? Why do you think these are our themes and how do they answer our research questions?
4:00-5:00: Small group discussion of methodologies and how they addressed the research questions. Share out and wrap-up.
The Task:
For each data source you were asked to select three artifacts that spoke to you. This may have been because it resonated with your personal experience or because you think it is an important idea or perhaps it contradicts with your own ways of thinking. In your small group you have an hour and a half to share which artifacts you selected, why you selected it, and what you learned from it (keeping the big research questions in mind). Use the time to talk together about what big ideas you see in the data. Document your thinking on post-it papers and place them on the big chart paper. Take the last few minutes to prepare a short (about five minutes) presentation that you can share with the whole group about what you saw in the data.