Everyone knows generative artificial intelligence (AI) such as ChatGPT has extensive and varied potential uses in higher education. But how does this apply to your own academic and instructional work? Following on from our previous guide “An introduction to prompting generative AI like ChatGPT for teaching and learning”, here are 25 examples of prompts to show how generative AI could be used within curriculum development, teaching and assessment.
Where we refer to specific pieces of work or materials, such as “this essay”, “this learning resource” or “this image” and so on, we used content created by ChatGPT itself in order to generate example responses – but the wording is designed to enable you to input your own materials as wanted.
1. Mark student essays: Function as an Australian university academic, teaching assessment to pre-service teachers and mark this essay. Identify and provide solutions for grammatical and syntax errors. Output can be found here.
2. Develop a rubric: Develop a marking rubric for an oral presentation for an introduction to tort law. Include criteria for each section. Include weighted percentages and what proficiency is needed at the pass, credit, distinction and high distinction. Output can be found here.
3. Develop multiple choice questions based on an article: Function as a teacher and write me 10 multiple choice questions relating to this learning resource from this week. Make some questions more difficult than others. Include one with the response being “none of the above” and another “all of the above”. Ensure it is written with higher-order thinking in mind. Output can be found here.
4. Develop a curriculum: As a teacher, write me a complete curriculum for first-year marketing. Examine, if possible, other marketing curricula. Outline the main learning outcomes for each week. Develop a 12-week syllabus. Ensure one week covers ethics and sustainability. Output can be found here.
5. Generating short-form (short answer) quiz questions and test questions: Can you generate quizzes and test questions on digital learning design? Include simple, medium and tough questions. Ensure these are not multiple-choice questions. One answer is correct. Provide tailored solutions for each answer. Output can be found here.
6. Generating discussion prompts: Can you generate discussion prompts for group work on futures trading using bots? Include the advantages and disadvantages of leveraged futures trading for students. Include 10 reflective exercises for the class. Output can be found here.
7. Assist with weekly creative and critical reflective questions: Can you assist me in developing a set of reflective questions on international human resource management? Include weekly readings, reflections and in-class exercises to develop these. Set weekly support and dot points in creative and critical reflection and how to write in the first person. Output can be found here.
8. Generating case studies: Design four different real-world case studies on supply and demand for my first-year microeconomics class. Include answers to the supply and demand problem. Include a lesson plan associated with the case studies for an online class. Include case studies that students can connect to in their real life. Outline learning outcomes for the class and place them in front of each case study. Output can be found here.
9. Providing review material for exams or supplementary exams: Generate alternative exam questions for this supplementary exam on quantitative methods based on these initial questions. Make the questions similar in complexity and cognitive load. Use different numbers. Output can be found here.
10. Creating video lessons: Act as a learning designer and walk me through the steps I need to create an effective and engaging lecture video. Now act as a first-year teacher in nursing and help me develop a 2-minute video on drug calculations. Use synonyms or acronyms that students can remember. Develop it for a lightboard instruction. Output can be found here.
11. Explaining visual aids: Can you write Alt Text for this image? Be precise and describe the key elements and relationships. Explain the story or narrative depicted in the image. Keep the word count to 100 words.Output can be found here.
12. Assisting with lesson planning: Assist me in creating five lesson plans for art history. Include scenario-based learning. Include one case study. Include one in-class group work experience for each lesson. Pitch for a second-year university audience. Output can be found here.
13. Develop synchronous polling: Can you develop five synchronous polling questions to test students’ comprehension of the subject prompt added above? Now place the output in code that can be added to Zoom or Teams. Make the questions relatively easy and use the learning outcomes from last week to start the class. Output can be found here. (Note: you can copy and paste the code into your announcements.)
14. 100 Applications: Not including this list of 99 applications, now make an additional 100 applications of generative AI for teaching and learning. Output can be found here.
15. Making better decisions: Using a decision tree matrix and a cost-benefit analysis provides a hypothetical example of how generative AI can help teachers make better decisions. Output can be found here.
16. Spark a debate: Can you respond to the following question/issues/topic on first-year student needs from culturally and linguistically diverse backgrounds and affirmative action? Be critical and provide answers “for” and “against”. Ensure to include supporting examples for class debate. Output can be found here.
17. Creating exemplars for assessment tasks: Offer suggestions that can function as an exemplar on how to write an effective introduction in an essay. Also, how to do an effective abstract. Output can be found here.
18. Assessment ideas using ChatGPT for students: Develop 10 assessment ideas whereby students need to use ChatGPT in their assessment to make more critical academic decisions, with a mix of formative and summative assessment ideas. Output can be found here.
19. Developing an alternative lesson plan: Develop an alternative lesson plan on this artificial intelligencefor a particularly gifted student. Include time needed for each activity. Output can be found here.
20. Providing YouTube summaries: Use this YouTube transcript of a previous teacher and summarise their video into 10 bullet points. Now use this data to help me develop my presentation. Outline things overlooked or underestimated in the transcript. Output can be found here.
21. Plan notes for a tutorial: Act as a university teacher. Make notes for an online class teaching first-year biomedical engineering. Ensure to include the key details from the lecture. Output can be found here.
22. Offering personalised feedback: Can you provide personalised feedback on this student-written discussion post? Examine for clarity, references, link to this textbook (insert reference to the specific textbook or other sources here) and word count. Provide a score out of 10. Output can be found here.
23. Generating code snippets: How do I make an HTTP request in JavaScript? Answer as if you are teaching first-year programming and offer examples, solutions, issues and common mistakes. Output can be found here.
24. Providing explanations: Provide the 10 most common misconceptions and explanations of Carl Jung’s work in psychology and how it differs from Sigmund Freud’s, include a Q&A list of prompts for my first-year unit in educational psychology to evaluate their knowledge after class on the topic above. Output can be found here.
25. Developing ice-breaker team-building exercises: Act as if it is the first day of class and use some proven and effective rapport-building exercises for students to build a sense of community. Develop a series of questions for online students to engage in the class at the same time as I am delivering the class in a physical classroom. Output can be found here.
In our next resource in this five-part series, we will share 25 uses of generative AI that can assist your administrative duties within the university. Please note that prompts and various applications of AI output should adhere to the fundamental values of the International Centre for Academic Integrity: honesty, trust, fairness, respect, responsibility and courage.
Seb Dianati is an academic lead for digital learning initiatives, and Suman Laudari is a digital learning designer, both at Charles Darwin University.
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