AI-Assisted Editing

Students may use AI to refine and edit their work.

Beneficial for improvements in language or communication style, adapting writing to diverse audiences, or revising code. Students submit original work alongside AI-assisted content. The majority of the grade (e.g., 70%) is based on independent student work, a smaller portion of the grade (e.g., 30%) is based on the AI-assisted portion. Students are required to include references and acknowledge AI use or submit AI-generated portions of the assignment.

Type of Assessment	Example in a Discipline
AI-Assisted Writing Assignments	Business/Media/Communications First draft is original student work: Students create a sales brochure, social media post, storyboard for advertisement, company policy document, public service announcement, short business plan, new product proposal, feasibility report, product review, or content for a webpage. Most of the grade is based on this initial draft. Peer feedback: Students provide peer feedback to each other. Guiding questions: Is there anything that would add value? What changes would make this product more relevant to the reader or end user? How could the document be tailored to a different audience? AI-generated feedback: Students ask AI for editing suggestions to improve the quality of the writing, including organization, accuracy, tone, clarity, and fit for audience. They decide which suggestions to incorporate, then submit both the original draft and the revised, AI-assisted version of their final product. Career Development (any discipline) Students draft a cover letter and resumé to represent key competencies they developed in the program, then ask AI for recommendations on how to make it more concise or how to adapt it to diverse audiences (e.g., hiring committee in industry vs. government vs. non-profit organization).
AI-Assisted Coding	Computer Science/Software Engineering Students write Python code to create a computer-based rock-paper-scissors game and ask ChatGPT to help evaluate and improve the code, look for edge cases, and test how the program could be broken. Students improve the final product based on feedback from Chat GPT, then submit a written reflection on the effectiveness of ChatGPT as a tool for improving code (metaLAB (at) Harvard, 2024).

Type of Assessment

Example in a Discipline

AI-Assisted Writing Assignments

Business/Media/Communications

First draft is original student work: Students create a sales brochure, social media post, storyboard for advertisement, company policy document, public service announcement, short business plan, new product proposal, feasibility report, product review, or content for a webpage. Most of the grade is based on this initial draft.
Peer feedback: Students provide peer feedback to each other. Guiding questions: Is there anything that would add value? What changes would make this product more relevant to the reader or end user? How could the document be tailored to a different audience?
AI-generated feedback: Students ask AI for editing suggestions to improve the quality of the writing, including organization, accuracy, tone, clarity, and fit for audience. They decide which suggestions to incorporate, then submit both the original draft and the revised, AI-assisted version of their final product.

Career Development (any discipline)

Students draft a cover letter and resumé to represent key competencies they developed in the program, then ask AI for recommendations on how to make it more concise or how to adapt it to diverse audiences (e.g., hiring committee in industry vs. government vs. non-profit organization).

AI-Assisted Coding

Computer Science/Software Engineering

Students write Python code to create a computer-based rock-paper-scissors game and ask ChatGPT to help evaluate and improve the code, look for edge cases, and test how the program could be broken.

Students improve the final product based on feedback from Chat GPT, then submit a written reflection on the effectiveness of ChatGPT as a tool for improving code (metaLAB (at) Harvard, 2024).