Teaching With AI: A Practical Guide to a New Era of Human Learning by José Antonio Bowen and C. Edward Watson

Existing AIs can already be adapted as student feedback and support assistants. The teacher’s job is to make sure that students know how to use AI to help with their learning. To get feedback they can ask: find errors, paraphrase, give counterarguments, and is this clearly stated. There are lots more prompts here covering every subject. AI can compliment teacher feedback as teachers have limited time compared to AI. AI is also less likely to be biased.
AI is an equally patient tutor. Studies show that with AI, students learn more in less time with a higher level of engagement and motivation. This one-to-one teacher/student ratio allows for the proper pace and it recognizes when students are struggling. AI should lead students to answers rather than just supplying them. Most platforms have a special version to support learning. For teamwork, an AI team member can also take the role of team coach.

The best new assignments will develop both critical thinking and AI literacy skills. The motivational power of purpose (I care), self-efficacy (I can), and agency (I matter) can help us build assignments that human students will want to do. Good assignments also provide clarity about what is to be done, how, when, with whom, and for whom (audience). Students also need to know what good looks like. Samples of excellent work and the rubric that deems then as excellent are important.
Reevaluate which skills are essential with AI and articulate why. Be sure to give AI your assignments and analyze the results. You can ask students to do the same thing and improve the results. A detailed checklist can guide students on how the pieces fit together. Building AI feedback into assignments can increase motivation, learning, and agency. Be sure to avoid busy work.

Your goal is to help students do what AI can’t. Thanks to AI they have a new need to develop editing skills. The value of writing is rarely apparent to students. We want them to use AI to do things they could not do alone and to exceed the capabilities they had before. A key ingredient is to have students do some work without AI in class.
The rest of this chapter provides ideas for lessons that require students to start the work before they bring in AI as their assistant. For example, AIs can’t write a student’s personal story or journal. Students can ask multiple bots the same thing and compare the answers for things like bias. The act of writing a prompt is still writing and you should encourage students to write longer prompts. Ask AI to produce bad, average, and good responses. Students need to recognize good from bad. They can produce better writing by using feedback, editing, and iteration. Have AI redo student work. They can also have AI rewrite their work for multiple audiences and in multiple styles.

This chapter is filled with assignment ideas. Be sure to consider your old assignments with an eye towards real would connections. Look to raise your standards with assignments that neither students or AI can do as well alone. What follows are some of the formats to consider.
Presentations offer an opportunity. Be sure to use minimal text. Have students record their presentation and get AI feedback. Projects are also ripe for AI collaboration. Creating graphic novels with AI Comic Factory might be motivating. Creating and editing images or videos can be interesting. Also try text adventures or video games. There are many collaboration ideas here. You should use AI to tutor students prior to an exam. Each student can get a customized review plan. Finally, ask AI to predict things like the performance of companies or product ratings.