This assignment, by Sara Large, is from the TextGenEd January 2024 Continuing Experiments collection in the WAC Clearinghouse Repository.
The abstract from the site explains:
This assignment asks students to engage with a large language model (LLM) such as ChatGPT 3.5 as part of their writing process to develop specific, accurate, and professional resume bullet points. After brainstorming work or community service experiences, students develop a list of tasks completed in these positions, along with the skills they would like to highlight for each task. Next, they ask ChatGPT to create bullet points for them based on this input, refine the input to tweak the responses, and revise the output to match their unique voice and skill set. Finally, students reflect on their experience using the LLM and revising its output. This assignment requires students to practice using generative AI as a tool to co-construct job application materials.
Key Features of This Assignment
- Resume Tailoring Techniques
- Students learn how to tailor their resume bullet points to specific job descriptions, enhancing their ability to create targeted and impactful resumes for different career opportunities.
- Peer Review Process
- After creating their resume bullet points, students participate in a peer review process, allowing them to receive constructive feedback and improve their work collaboratively.
- Focus on Action-Oriented Language
- Students are guided to create resume bullet points that emphasize action-oriented language, which helps in clearly conveying their achievements and skills to potential employers.
Find the full version of this resource at the WAC Clearinghouse.