We're seeking 1EdTech members to collaborate, define the various aspects of AI-generated learning resources, and establish best practices for using them in exchangeable learning resources across applications and organizations.
Contributing Members interested in participating should review the information below and join the AI-Generated Content Task Force community group for details on the February 27 kick-off meeting.
Background
1EdTech members are future-forward thinkers and have proposed the creation of a best practices guide for disclosing AI-generated learning resources. While policies regarding this issue are starting to emerge—such as California enacting legislation focused on the transparency of AI-generated content—our members are eager to take proactive steps in developing a standard way to annotate AI-generated content.
Assessment organizations that follow federal guidelines for summative high-stakes testing, like ETS and WIDA, already focus on the use of AI-generated learning resources and have several thoughts and considerations, including:
- Tracking use and compliance
- Transparency of authorship and ownership
- Ethical and security considerations
- Measuring proficiency rather than content Reflecting multi-state/multi-country standards at once
- Stating the intended reading level of the learning resources
- Integrating multimedia into questions
Summative assessment organizations are not the only organizations that need to consider the implications of these AI concerns; this involves all types of digital learning resources and assessments created by curriculum suppliers, institutional academic teams, teachers, and students.
This new Task Force will define the various aspects of AI-generated learning resources and establish best practices for use in exchangeable learning resources across applications and organizations.
Who Should Get Involved?
Representatives from Contributing Member organizations who are champions for best practices in the standardized notation of AI-generated learning resources. Members will attend bi-weekly meetings, with a commitment of approximately 10 meetings over a 4-month period.
Members should be actively involved in acquiring, creating, or exchanging learning resources generated through new AI applications. They should also be equipped to make recommendations and decisions for their organizations.
Call to Action
The Task Force's first meeting will be on Thursday, February 27, from 11:00 AM to 12:00 PM EST, and subsequent meetings will be scheduled every other week.
1EdTech Contributing Members interested in getting ahead of the curve and developing a standard way to annotate AI-generated content can contact Technical Program Manager Susan Haught for more information or join the new AI-Generated Content Task Force.