QuizBot Quest: AI Feedback Friends!

Design for Mastery Kit

NEW

All grades Project 4 weeks

QuizBot Quest: AI Feedback Friends!

Shawn R

3B-AP-09

3B-AP-08

2-AP-15

Self Directed Learning

Academic Mindset

+ 1 more

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Purpose

The purpose of this project is to engage students in designing AI agents that act as diagnostic partners, fostering critical thinking and problem-solving skills. Through hands-on creation and peer collaboration, students will explore the ethical and technical dimensions of AI, enhancing their understanding of its role in learning environments. By integrating real-world feedback mechanisms and community involvement, students will develop AI solutions that are responsive to user needs, promoting a deeper sense of identity and belonging within their learning community.

Learning goals

Students will design AI agents that effectively identify and respond to user needs, enhancing their understanding of AI's role in learning environments. They will explore key components and ethical considerations in AI development, ensuring personalized and constructive feedback mechanisms. Through collaboration with the Boys and Girls Club of Newport County, students will refine their AI agents, fostering critical thinking and problem-solving skills. By reflecting on peer feedback and participating in the AI Expo Day, students will deepen their self-directed learning and academic mindset, gaining insights into AI's impact on user engagement and community needs.

Standards

[Computer Science Teachers Association] 3B-AP-09 - Implement an artificial intelligence algorithm to play a game against a human opponent or solve a problem.
[Computer Science Teachers Association] 3B-AP-08 - Describe how artificial intelligence drives many software and physical systems.
[Computer Science Teachers Association] 2-AP-15 - Seek and incorporate feedback from team members and users to refine a solution that meets user needs.

Competencies

Self Directed Learning - Students use teacher and peer feedback and self-reflection to monitor and direct their own learning while building self knowledge both in and out of the classroom.
Academic Mindset - Students establish a sense of place, identity, and belonging to increase self-efficacy while engaging in critical reflection and action.
Critical Thinking & Problem Solving - Students consider a variety of innovative approaches to address and understand complex questions that are authentic and important to their communities.

Products

Students will create AI agents designed to engage in meaningful dialogue and provide personalized feedback, tailored to the needs of users in a learning environment. Throughout the project, students will develop prototypes of these AI agents, iteratively refining them based on peer and teacher feedback. By the end of the project, students will have a fully functional AI agent that addresses user needs, which they will present at the AI Expo Day. Additionally, students will produce written reflections and peer assessments, documenting their learning process and insights gained from the project.

Launch

Kick off the project with a dynamic 'Feedback Frenzy' event where students dive into interactive stations exploring various feedback mechanisms. Each station will feature a simple AI simulation that prompts students to test and analyze different types of feedback, sparking curiosity about how AI can tailor responses to enhance learning. This hands-on exploration sets the stage for students to envision and design their own AI agents, igniting excitement and laying the groundwork for deeper inquiry and creativity.

Exhibition

Students will present their AI agents at an 'AI Expo Day,' engaging peers, teachers, and community partners from the Boys and Girls Club of Newport County. Each student will demonstrate how their AI addresses specific user needs and enhances problem-solving skills, inviting feedback and discussion. This event provides a platform for students to articulate their design process, reflect on their learning journey, and showcase the impact of their AI on critical thinking and user engagement.

Plan

Week 1	Day 1	Day 2	Day 3	Day 4	Day 5
Activities	Project Launch: Feedback Frenzy Kickoff - Students participate in interactive stations to explore various feedback mechanisms, sparking curiosity about AI's role in personalized feedback (45 min)	Introduction to AI Concepts - Students engage in a hands-on activity to understand basic AI principles and discuss real-world examples of AI-driven systems (20 min) Exploring AI in Learning Environments - Students brainstorm how AI can be used in educational settings to provide feedback and facilitate learning (25 min)	Design Thinking Workshop - Students collaborate to identify user needs and begin sketching initial ideas for their AI agents (30 min) Ethical Considerations in AI - Students explore ethical questions and discuss the impact of AI on privacy and user interaction (15 min)	AI Components Exploration - Students learn about key components needed to build AI agents, using simple coding exercises to reinforce concepts (25 min) Peer Feedback Session - Students share their initial AI agent ideas with peers, receiving feedback to refine their concepts (20 min)	Refining AI Agent Designs - Students incorporate peer feedback to enhance their AI agent prototypes, focusing on user engagement strategies (20 min) Reflection and Goal Setting - Students reflect on their learning progress and set goals for their AI agent development in the coming weeks (25 min)
Deliverables	1. A collaborative AI design sketch and initial dialogue script that outlines the planned interactions between the AI agent and users.
Preparation	1. Gather materials for the 'Feedback Frenzy' event, including interactive station setups with simple AI simulations. 2. Prepare resources on AI ethics, including articles or videos that are age-appropriate and accessible for students to understand the implications of AI use. 3. Create or source unplugged activities that illustrate basic AI concepts using everyday objects or scenarios, suitable for the grade levels involved. 4. Provide templates or tools for students to use during their brainstorming and workshop sessions for sketching and scripting their AI agent ideas. 5. Develop a peer review framework or rubric to guide students in providing and receiving constructive feedback during the feedback session.

Week 2	Day 6	Day 7	Day 8	Day 9	Day 10
Activities	Exploring AI Feedback Mechanisms - Students experiment with different types of feedback provided by existing AI systems and discuss their effectiveness (25 min) Identifying User Needs - Students conduct a survey to gather insights on user preferences and needs for AI feedback (20 min)	AI Agent Prototype Development - Students begin coding a basic version of their AI agent using block-based programming tools (30 min) Peer Collaboration Session - Students share their prototypes and gather peer feedback to refine their AI's functionality (15 min)	Integrating Ethical Considerations - Students explore ethical implications of AI feedback and incorporate ethical guidelines into their agent designs (25 min) User-Centric Design Workshop - Students revise their AI prototypes based on user needs and ethical considerations discussed (20 min)	Testing AI Agent Responses - Students test their AI agents with sample questions to evaluate the feedback quality and user engagement (30 min) Reflection and Adjustment - Students reflect on the testing outcomes, adjusting their AI design to improve response accuracy and relevance (15 min)	Building Personalized Feedback Features - Students enhance their AI agents with personalized feedback mechanisms tailored to specific user profiles (25 min) Peer Review and Goal Setting - Students conduct peer reviews of each other's AI agents and set goals for further development in Week 3 (20 min)
Deliverables	1. Completed dialogue framework outlining questions and feedback mechanisms for AI agents 2. Initial coded prototype of AI agent with basic interaction logic 3. Written reflection documenting feedback received and changes made to AI design
Preparation	1. Prepare a presentation on ethical considerations in AI for guided discussion 2. Provide students with tools and resources for drafting dialogue frameworks (e.g., templates and examples) 3. Set up coding platforms suitable for students' grade levels (e.g., Scratch for younger students, Python for older students) 4. Create peer feedback forms to facilitate constructive review sessions 5. Ensure access to computers and internet connectivity for coding activities

Week 3	Day 11	Day 12	Day 13	Day 14	Day 15
Activities	Advanced AI Coding Session - Students enhance their AI agents by integrating complex algorithms that improve question-asking and feedback capabilities (30 min) Peer Feedback Exchange - Students pair up to test each other's AI agents, providing insights on user engagement and response quality (15 min)	User Experience Design Workshop - Students refine the user interface of their AI agents to ensure accessibility and ease of use (25 min) Incorporating User Feedback - Students analyze feedback collected from peers and make necessary adjustments to their AI designs (20 min)	AI Ethics Deep Dive - Students explore case studies on AI ethics, discussing how to address bias and ensure fair interactions in their agents (25 min) Ethical Implementation Session - Students apply ethical considerations to their AI agents, revising features to align with responsible AI use (20 min)	Interactive Testing and Evaluation - Students conduct a thorough testing session with diverse user scenarios to evaluate AI performance (30 min) Reflection and Strategy Adjustment - Students reflect on evaluation outcomes and plan strategic improvements to maximize AI effectiveness (15 min)	Final Prototype Development - Students put the finishing touches on their AI agents, ensuring alignment with user needs and ethical standards (25 min) Peer Review and Feedback - Students participate in a peer review session, providing constructive feedback on each other's final prototypes (20 min)
Deliverables	1. Refined AI Agent Prototypes 2. Written Reflection and Self-Assessment
Preparation	1. Prepare peer assessment rubrics for the peer review session 2. Gather resources and materials for the ethical consideration workshop, including case studies and discussion prompts 3. Set up a digital platform or physical space for students to showcase their AI agents during peer review 4. Ensure access to devices and software needed for AI development and testing

Week 4	Day 16	Day 17	Day 18	Day 19	Day 20
Activities	Final Touches on AI Agents - Students finalize their AI agents, ensuring alignment with user needs, ethical standards, and feedback mechanisms (30 min) Rehearsal for AI Expo Day - Students practice presenting their AI agents, articulating their design process and how their creations address user needs (15 min)	Peer Review Session - Students participate in a peer review session to evaluate AI agents using a rubric focused on user engagement and ethical considerations (25 min) Reflection and Adjustment - Students reflect on peer feedback and make any final adjustments to their AI agents (20 min)	Exhibition Preparation - Students prepare presentation materials and practice their pitch for the AI Expo Day, focusing on clear communication of their AI's impact (25 min) Feedback Integration - Students incorporate any last-minute feedback from teachers or peers to ensure their AI agents meet all project criteria (20 min)	AI Expo Day - Students present their AI agents to peers, teachers, and community partners from the Boys and Girls Club, showcasing how their solutions meet user needs (35 min) Expo Reflection - Students reflect on the feedback received during AI Expo Day and discuss how the experience has influenced their understanding of AI and its applications (10 min)	Project Reflection and Self-Assessment - Students write reflections on their learning journey, evaluating their growth in critical thinking, self-directed learning, and academic mindset (25 min) Celebration and Sharing - Students share their reflections and celebrate their accomplishments with peers and teachers, fostering a sense of community and achievement (20 min)
Deliverables	1. Completed AI agent ready for presentation at the 'AI Expo Day.' 2. Peer assessment rubric filled out with evaluations and feedback for classmates. 3. Written reflection documenting insights and growth from the project experience.
Preparation	1. Ensure access to presentation materials, such as computers, projectors, and display boards for the 'AI Expo Day.' 2. Provide guidelines and templates for the peer assessment rubric and written reflection. 3. Coordinate with community partners from the Boys and Girls Club of Newport County to attend the 'AI Expo Day.' 4. Set up a venue for the 'AI Expo Day' with necessary seating and presentation equipment. 5. Organize rehearsal sessions for student presentations, offering feedback to enhance clarity and engagement.