This chatbot, developed on Playlab, creates end-of-unit projects aligned to Common Core standards. The user must share which standards or concepts they would like students to apply for the project.
Using Playlab, This teacher-created chatbot generates article analysis questions (AAQs) for the AP Psychology exam. The user selects the unit and topic and the tool generates an AAQ.
This rubric was modified from one provided by the Class Companion library. AI-powered Class Companion used this rubric to provide feedback and scores to students on their writing.
This video provides an overview of setting up a workspace on Playlab and utilizing the platform to create chatbots.
This document, delivered as a part of a professional learning opportunity for teachers, provides instruction on creating AI bots to support teaching and learning practices.
K-12 school and system leaders can survey their stakeholders (i.e., students, educators, or even other members of their wider school community, including families) to better understand the conditions at play that might support or hinder effective usage of AI in classrooms. These sample questions come from Denver Public Schools, which implemented these surveys with their educators and students at both the elementary and secondary levels.
This handbook, created by Denver Public Schools, combines best practices and stakeholder feedback to provide their district community guidance around the responsible and ethical use of AI.
Student-facing conference log designed by the Eliot School to support student processing of AI-generated feedback.
Sixth-grade student work sample demonstrating the application of AI-generated feedback.
Sixth-grade student work sample demonstrating the application of AI-generated feedback.
