AI Prof

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  Starting Prompt of the AI Prof

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  AI Prof Feedback on one of the Assignments given

Use Case Title:

Using AI to give students feedback on their Assignments to better work on it and get better grades and understanding of the learning outcomes

Description:

A prompt that can train ChatGPT to provide students, especially at the university level, with instant, detailed feedback on their assignments. By leveraging the capabilities of ChatGPT, AI Prof acts as an AI professor, guiding students to better understand and apply the learning outcomes of their courses. This tool aims to bridge the feedback gap, ensuring students not only achieve better grades but also gain a deeper understanding of their educational goals.

Tutorial for Use and Best Practices:

1. Start by clearly defining your assignment's grading rubric and learning outcomes. "For Minerva, it's #HCs and the learning outcomes of each class that the target assignment will be covering"
2. Open the "AI Prof" chat on ChatGPT and input the following prompt: "Hey, I want you to act as a [university professor], I've completed an assignment and would like feedback based on specific grading criteria, learning outcomes, and APA formatting. Here are the details: [Insert Grading Rubric and Learning Outcomes]. Here are my assignment instructions: [insert Assignment instructions]. Here's my assignment: [Insert Assignment Content]."
3. Review the feedback provided by AI Prof and make necessary revisions to your assignment.
4. Always cross-check the feedback with actual course materials to ensure alignment. For best results, ensure your grading rubric and learning outcomes are detailed and specific.

Impacts on Learning:

"AI Prof" enhances the feedback process, ensuring students receive immediate and detailed insights into their work. It helps students understand where they went wrong and how to improve, leading to better grades and a deeper understanding of the subject matter.

Limitations and Ethical Considerations:

While "AI Prof" is a powerful tool, it's essential to understand its limitations. The feedback is as good as the grading rubric and learning outcomes provided. There's a potential risk of the AI not capturing the nuances of certain subjective topics. Biases might emerge if the grading criteria are skewed or if the AI model has inherent biases from its training data. To ensure the validity of AI-generated results, it's crucial to:

1. Regularly update the model with diverse course and learning outcomes data.
2. Cross-check AI feedback with the professor's feedback periodically and give the AI tool the input you got again to train it on the flaws that weren't within the grading rubric you gave to the tool in the beginning.

Link to Video Tutorial (Optional):

https://chat.openai.com/share/b8a9d538-0a41-4649-ae0b-7455671febe2

"AI Prof" emerged from a personal experience of receiving unsatisfactory grades on my first assignment at Minerva University, I realized the need for immediate, detailed feedback on assignments. The challenge was to ensure that the feedback was not just generic but tailored to the specific grading rubric "in my situation was #HCs" and the learning outcomes of the class and assignment. Using ChatGPT, I built "AI Prof" to act as a professor, providing students with comprehensive feedback based on the grading criteria they provide. The journey was filled with challenges, especially in ensuring the AI understands and applies the grading rubric accurately. However, the end result is a tool that can revolutionize the way students receive feedback and understand their mistakes.

Built With

• chatgpt
• promptengineering