�鶹��ý

Expand

AI can generate varied examples, scenarios, case studies, questions, activities

Students need and prefer varied examples, scenarios and case studies when learning new and complex information. Generating these things in order to expand on topics covered in class is one of the best use cases for LLM chatbots, particularly because it is possible to seek endless variations to accomplish class objectives. 

Example prompt: “Write three detailed scenarios that help demonstrate the accommodating style of conflict management. Each scenario should be 1-2 paragraphs long, written at a university level. Then, write 5 critical thinking questions related to the scenarios that focus on contrasting the accommodating style of conflict management with the other styles.”

  Back to top

Explain

AI can generate targeted explanations, descriptions, comparisons, summaries, instructions

Students generally learn best in contexts they already know, which makes providing targeted, varied explanations and comparisons especially effective. Generating focused summaries and explanations to help process long and/or difficult information is something �鶹��ýs probably already use AI to do and can be leveraged to include a larger variety of input.

Example prompt: “Explain the kinetic theory of gases in a way that a non-scientist could understand. Frame it as a comparison to something most university �鶹��ýs are familiar with in their daily lives. Also add a series of instructions for how to demonstrate the kinetic theory of gases in a simple science experiment.”

  Back to top

Iterate

AI can modify context, style, voice, format, structure

Diversity of information and examples is helpful for �鶹��ýs, especially in discovering nuance, sparking new ideas and increasing engagement. On the more creative end of the AI spectrum, LLMs can take one set of text and transform it contextually, stylistically or structurally. This might look like explaining something in the voice of a certain person, turning a book into a song or vice versa, or visualizing data sets in multiple ways.

Example prompt: “Write a summary of Plato’s Republic in the form of a Stephen Colbert monologue and also in the style of an Ezra Klein essay.”

  Back to top

Assess

AI can provide feedback, error correction, assessments and answers

Beyond its ability to support instructors and �鶹��ýs in content generation, LLMs can also be used to review content. This application of AI allows for feedback, error identification and assessment. On the more technical end, AIs can help identify errors in code (as well as generate new code) to help build new programs. At the same time, AIs can offer feedback on writing samples, make and grade assessment questions or offer suggestions and improvements on ways to teach and learn specific concepts for specific learner levels. Like any tool, it isn’t perfect, but it can be used to help �鶹��ýs and instructors consider potential issues.

Example prompt: “Proofread the following text for spelling and grammatical errors. Provide a corrected version and list the corrections that were made. Offer suggestions to make it more engaging.” [upload text]

  Back to top

Practice

AI can engage in practice rounds to enhance �鶹��ý performances

LLMs can be used to develop repetitive practice scenarios as �鶹��ýs work to become competent in a variety of fields, including language acquisition, mathematics proficiency, and quick recall. For instance, ChatGPT-4o, which is free as of May 2024, comes with advanced audio, video, and text interaction capabilities, allowing users to converse with the LLM in a variety of languages, to get immediate audio descriptions of visuals (e.g., “What is the Spanish word for this object”?), and to translate real time conversations between two speakers using different languages.

Example prompt: “Act as a translator for me so that I can practice my French lesson. When I say something to you in French, please say it back to me in English. That way, I can see if I am creating meaningful sentences in French.” [upload text]