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Standards & Guidelines
Note: This introductory video and lesson were created in 2022. Generative AI technology has significantly advanced since then. Please use the concepts introduced here as foundational, but not current.
Lesson Overview
In this lesson, students will create stories of their own with GAN text and art tools. Students will learn to use GAN-based generation tools to generate texts and form them into stories.
Total Lesson Time: 55 min (75 minutes with an extension)
Learning Objectives: Students will be able to . . .
- Develop an original story using GAN-based generation tools to generate text and pictures
- Compare the process of writing a story with a text generator to the traditional writing process to identify strategies and limitations for writing with a text generator
Vocabulary Introduced: neural language processing (NLP), natural language generation (NLG), text generator, corpus, seed text, temperature
Pacing:
- Opening (5 min)
- Introduction to new material, terms, guided practice (15 min)
- Storytelling with GANs Activity (25 min)
- Wrap-up + Exit Ticket (10 min)
Extension Activity: Optional Extension Activity: OpenAI News Articles (20 min)
Planning Guide
Preparation Needed: 15-20 min
Materials:
- Open AI Worksheet & Texts
Prep Needed for Teaching In-Person:
- Print the Open AI Worksheet & Texts
- Print the Exit Ticket
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Resources
Resources for optional Extension Activity #1: OpenAI News Articles (scroll to page 21)
- Teacher Answer Guide to Open AI Text Generation Extension Activity
- Link to OpenAI sample text
Resources for optional Extension Activity #2: GPT (scroll to page 22)
- Link for Teacher Edification: chatGPT Playground (Open AI) *Note: DALL-E is an OpenAI product. OpenAI tools are licensed for users 18 and above. They are for adult use only.
Activity Usage
Copyright held by MIT STEP Lab
License: CC-BY-NC under Creative Commons
These materials are licensed as CC-BY-NC 4.0 International under creative commons. (For more information visit https://creativecommons.org/licenses/by-nc/4.0/). This license allows you to remix, tweak, and build upon these materials non-commercially as long as you include acknowledgement to the creators. Derivative works should include acknowledgement but do not have to be licensed as CC-BY-NC. People interested in using this work for for-profit commercial purposes should reach out to Irene Lee at [email protected] for information as to how to proceed. Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Attribution:
The original "Text Generation" activity was created as part of the "Creativity and AI" curriculum by Daniella DiPaola and Safinah Ali with support from the MIT Media Lab Personal Robots Group. See more at Exploring Generative Models with Middle School Students