Suggesting class discussion prompts

Discussion topics can be difficult to come up with, especially ones that are aligned to students’ interests.

The prompt below generates discussion prompts for class. Change the topics and concepts to your needs.

Come up with 5 examples of discussion prompts to get university students thinking about key concerns that might affect a new humanitarian engineering project. Base these prompts on the following topics which they are interested in:
- Social media
- Climate change
- Part-time work

Here is an example of ChatGPT output (using the GPT-4 model).

1. Social Media and Community Engagement:
   • How can social media platforms be effectively utilized to engage with communities and stakeholders in a humanitarian engineering project? What are the potential risks and ethical considerations associated with using these platforms?
2. Climate Change and Sustainable Design:
   • In what ways should a new humanitarian engineering project be designed to address and mitigate the impacts of climate change? What specific design principles and technologies can be employed to ensure sustainability and resilience?
3. Part-time Work and Team Dynamics:
   • Considering the potential for students and professionals involved in the project to be working part-time, how might this affect the project’s timeline and team dynamics? How can the project be structured to accommodate and optimize the contributions of part-time team members?
4. Climate Change, Vulnerable Populations, and Equity:
   • How can a humanitarian engineering project prioritize assistance to populations that are most vulnerable to the impacts of climate change? What strategies can be employed to ensure that the project’s benefits are equitably distributed among various socio-economic groups?
5. Social Media for Project Monitoring and Feedback:
   • How can social media be leveraged as a tool for ongoing monitoring and feedback during the implementation of a humanitarian engineering project? What protocols should be in place to ensure data privacy and security, and how can misinformation or biases be managed?