AI for Good: Community Challenge Hackathon

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AI for Good: Community Challenge Hackathon

Grade 12Other8 days

The "AI for Good: Community Challenge Hackathon" is a project-based learning experience for 12th-grade students, focusing on designing AI solutions to address local community challenges while enhancing social well-being and considering ethical implications. Students engage in activities such as empathy mapping, data gathering and analysis, ethical discussions, and design sprints, fostering innovation and stakeholder collaboration. The project emphasizes understanding community needs, developing inclusive AI prototypes, and addressing ethical concerns, culminating in student reflections on their learning journey and AI's impact potential.

AICommunityEthical ConsiderationsInnovationEmpathy MappingStakeholder CollaborationPrototyping

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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we design and implement AI solutions that not only address specific challenges in our local community but also enhance social well-being, consider ethical implications, and ensure inclusivity?

Essential Questions

Supporting questions that break down major concepts.

What are the potential benefits of applying AI to address local community challenges?
How can AI contribute to social good and enhance community well-being?
What are the ethical considerations when developing AI solutions for real-world problems?
In what ways can AI impact the local economy and job market?
How can we ensure the AI solutions we develop are inclusive and accessible to all members of the community?
What steps are involved in designing and implementing an effective AI solution for a community issue?
How do different stakeholders (e.g., community members, developers, businesses) influence the success of AI initiatives?
What role does data play in developing AI solutions, and how can we address data privacy concerns?
How do we measure the success and impact of AI solutions in the community?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:

Understand the potential of AI to address local community challenges and enhance social well-being.
Identify and analyze ethical implications and considerations when developing AI solutions.
Develop and design innovative AI solutions that are inclusive, accessible, and address specific community needs.
Collaborate effectively with diverse stakeholders to ensure the success of AI initiatives.
Apply a structured design process to create, test, and refine AI solutions for real-world applications.

Next Generation Science Standards

ETS1.A

Primary

Defining and Delimiting Engineering Problems - Define a problem to be solved by developing a new or improved object, tool, process, or system and includes criteria and constraints.Reason: The project emphasizes designing AI solutions for community challenges which aligns with defining and delimiting engineering problems.

HS-ETS1-1

Primary

Analyze a major global challenge to specify qualitative and quantitative criteria and constraints for solutions that account for societal needs and wants.Reason: The project involves analyzing community issues, which can be considered a global challenge, to design AI solutions that meet societal needs.

HS-ETS1-2

Primary

Design a solution to a complex real-world problem by breaking it down into smaller, more manageable problems that can be solved through engineering.Reason: Students need to design AI solutions by breaking down community issues into manageable problems.

Common Core Standards

CCSS.ELA-LITERACY.CCRA.W.8

Secondary

Gather relevant information from multiple authoritative print and digital sources, assess the strengths and limitations of each source, and integrate the information while avoiding plagiarism.Reason: Researching community issues and AI solutions requires gathering and assessing information from various sources.

CCSS.ELA-LITERACY.CCRA.SL.1

Secondary

Prepare for and participate effectively in a range of conversations and collaborations with diverse partners, building on others' ideas and expressing their own clearly and persuasively.Reason: The project requires collaboration and discussions to create effective AI solutions.

International Society for Technology in Education

ISTE.4a

Primary

Innovative Designer - Students know and use a deliberate design process for generating ideas, testing theories, creating innovative artifacts or solving authentic problems.Reason: The hackathon involves using a design process for creating innovative AI solutions to solve real-world problems.

ISTE.2d

Secondary

Digital Citizen - Students manage their personal data to maintain digital privacy and security and are aware of data-collection technology used to track their navigation online.Reason: Students must consider data privacy and ethical implications during the project.

Entry Events

Events that will be used to introduce the project to students

AI Escape Room Challenge

Engage students with an AI-themed escape room where each puzzle represents a local challenge solved by AI technology. As they break each code, students unveil information about AI's potential, sparking curiosity and thought about creative solutions to local issues.

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Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.

Activity 1

AI Empathy Mapping

Students will create empathy maps to understand the local community issues better. This activity helps students to step into the shoes of community members affected by these challenges and identify their needs. This understanding is essential for designing human-centered AI solutions.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Introduce the concept of empathy mapping and its importance in human-centered design.

2. Ask students to select a local community issue they are interested in addressing.

3. Guide students through building an empathy map, focusing on what community members might be thinking, feeling, seeing, doing, and hearing.

4. Have students reflect on how these insights could guide the development of AI solutions.

Final Product

What students will submit as the final product of the activityAn empathy map illustrating community members' perspectives, needs, and challenges related to a local issue.

Alignment

How this activity aligns with the learning objectives & standardsAligns with ETS1.A (Defining and Delimiting Engineering Problems) by promoting an understanding of the problem from the community's perspective.

Activity 2

Data Gathering & Analysis Workshop

Students will learn how to gather and analyze data relevant to their chosen community issue. Understanding data is crucial for creating effective AI models that address specific challenges.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Review the types of data needed for their project and why it is essential.

2. Identify potential data sources and evaluate their reliability and relevance.

3. Collect data from various sources such as surveys, interviews, and digital platforms.

4. Analyze the gathered data to find patterns or insights that could inform their AI solution.

Final Product

What students will submit as the final product of the activityA comprehensive report analyzing data relevant to the chosen community issue.

Alignment

How this activity aligns with the learning objectives & standardsAligns with CCSS.ELA-LITERACY.CCRA.W.8 by focusing on gathering and assessing information from multiple sources.

Activity 3

Ethical AI Considerations Roundtable

Students will participate in a roundtable discussion to explore the ethical implications of AI solutions. This activity encourages them to consider the broader impact of their projects, including inclusivity and privacy concerns.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Facilitate a discussion on ethical concerns associated with AI, such as bias, privacy, and access.

2. Invite students to present potential ethical issues related to their AI solutions.

3. Encourage debate and discussion on how these ethical considerations can be addressed.

4. Guide students in documenting strategies to mitigate ethical impacts.

Final Product

What students will submit as the final product of the activityA set of documented strategies and guidelines to address ethical concerns in their AI project.

Alignment

How this activity aligns with the learning objectives & standardsAligns with ISTE.2d (Digital Citizen) by promoting awareness and management of ethical considerations in AI development.

Activity 4

AI Solution Design Sprint

In this activity, students will rapidly prototype their AI solutions to local community issues. This hands-on session encourages innovation and iterative design.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Introduce students to the concept of design sprints and set expectations.

2. Divide students into small teams and allocate them specific roles.

3. Guide teams through brainstorming and sketching initial AI solution concepts.

4. Facilitate rapid prototyping sessions where students create functional AI solution mock-ups.

Final Product

What students will submit as the final product of the activityA prototype mock-up of an AI solution tailored to a local community issue.

Alignment

How this activity aligns with the learning objectives & standardsAligns with ISTE.4a (Innovative Designer) as it involves using a deliberate design process to innovate solutions.

Activity 5

Stakeholder Collaboration Clinic

This activity focuses on teaching students how to effectively collaborate with community stakeholders, ensuring their AI solutions meet real needs and encourage community participation.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Explain the importance of stakeholder collaboration in successful project implementation.

2. Identify potential stakeholders who could contribute valuable insights or support the project.

3. Draft communication plans to engage with stakeholders effectively.

4. Conduct mock interviews or discussions with stakeholders to refine feedback processes.

Final Product

What students will submit as the final product of the activityA detailed collaboration plan involving key community stakeholders.

Alignment

How this activity aligns with the learning objectives & standardsAligns with CCSS.ELA-LITERACY.CCRA.SL.1 by encouraging effective participation in conversations with diverse partners.

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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

AI for Good Hackathon Rubric

Category 1

Understanding of Community Needs

Assesses the depth of understanding of the local community issues through empathy mapping and problem definition.

Criterion 1

Empathy Mapping

Evaluates the ability to create a comprehensive empathy map that captures the perspectives of community members affected by local issues.

Exemplary

4 Points

The empathy map provides a highly detailed and insightful understanding of community members' perspectives, needs, and challenges. Shows exceptional empathy and consideration.

Proficient

3 Points

The empathy map offers a thorough understanding of the community perspectives and needs. Demonstrates solid empathy but room for more insight.

Developing

2 Points

The empathy map shows basic understanding with limited perspectives. Demonstrates superficial empathy and understanding.

Beginning

1 Points

The empathy map is incomplete and lacks crucial insights into community perspectives and needs. Shows minimal empathy.

Criterion 2

Problem Definition

Measures the clarity in defining the community issue and identifying core needs for AI solution development.

Exemplary

4 Points

Defines the problem with precision, clearly articulating both the core issues and potential impact of AI solutions.

Proficient

3 Points

Defines the problem clearly, capturing main issues and potential AI impact, though with less detail or depth.

Developing

2 Points

Describes the problem in basic terms with some understanding of need for AI solutions.

Beginning

1 Points

Struggles to define the problem, fails to identify core issues adequately.

Category 2

Data Gathering & Analysis

Evaluates the ability to gather, assess, and analyze data relevant for AI solution development.

Criterion 1

Data Collection

Assesses the skills in identifying and collecting relevant data from multiple sources.

Exemplary

4 Points

Effectively identifies and collects comprehensive data from diverse, relevant sources. Shows sophisticated data collection skills.

Proficient

3 Points

Collects adequate data from multiple sources with general relevance. Demonstrates good data collection skills.

Developing

2 Points

Collects limited data with relevance from few sources. Basic data collection skills evident.

Beginning

1 Points

Fails to collect necessary data, lacking relevance and depth from trustworthy sources.

Criterion 2

Data Analysis

Measures the capability to analyze data, identifying patterns to inform AI solutions.

Exemplary

4 Points

Conducts thorough data analysis, uncovering meaningful patterns and insights that directly inform effective AI solution development.

Proficient

3 Points

Performs adequate data analysis, identifying some patterns and insights for AI solution consideration.

Developing

2 Points

Offers basic data analysis with limited pattern recognition to guide AI solution development.

Beginning

1 Points

Demonstrates rudimentary analysis without identifying useful insights or patterns.

Category 3

Ethical Considerations

Evaluates the awareness and integration of ethical concerns in AI solutions.

Criterion 1

Ethical Awareness

Assesses the recognition and documentation of ethical issues related to AI solutions, with strategies for mitigation.

Exemplary

4 Points

Shows in-depth awareness of ethical issues with well-documented strategies for effective mitigation and inclusivity.

Proficient

3 Points

Demonstrates good awareness of ethical issues with strategies documented, but with room for further development.

Developing

2 Points

Acknowledges some ethical concerns with limited documentation of strategies.

Beginning

1 Points

Lacks awareness of critical ethical issues with poorly documented or missing strategies.

Category 4

Innovative Design

Focuses on the originality and effectiveness of AI solution design and prototyping.

Criterion 1

Solution Design and Prototype

Evaluates the creativity and functionality of AI solution prototypes, considering design process and innovation.

Exemplary

4 Points

Designs a highly creative, functional prototype demonstrating exceptional innovation and application of design processes.

Proficient

3 Points

Develops a functional prototype with some innovative aspects, proficient use of design processes.

Developing

2 Points

Creates a basic prototype with limited creative elements and functional aspects.

Beginning

1 Points

Prototype lacks originality and functionality, demonstrating minimal design process application.

Category 5

Collaboration and Communication

Measures the effectiveness of stakeholder engagement and collaborative efforts in the project.

Criterion 1

Stakeholder Collaboration

Assesses ability to engage and collaborate with stakeholders effectively throughout the project.

Exemplary

4 Points

Excellent engagement and collaboration with stakeholders, actively integrating feedback and insights throughout the project.

Proficient

3 Points

Good stakeholder engagement and collaboration with some integration of feedback.

Developing

2 Points

Basic stakeholder engagement with limited feedback integration.

Beginning

1 Points

Minimal engagement with stakeholders, lacking feedback and collaboration.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning

Question 1

How has your understanding of AI's potential to address local community challenges evolved through this project?

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Required

Question 2

On a scale from 1 to 5, how effective do you think your AI solution will be in addressing the community issue it targets?

Scale

Required

Question 3

What ethical considerations did you find most challenging to address in your AI solution?

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Required

Question 4

Which aspect of designing your AI solution did you find most rewarding and why?

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Required

Question 5

How confident are you in the data you gathered during your project to support your AI solution?

Scale

Required

Question 6

What is one key insight you gained from collaborating with stakeholders during this project?

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Required

Question 7

Reflect on the role you played in your team and how it contributed to the final AI solution.

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Required

Question 8

What additional resources or support would have enhanced your AI project experience?

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Optional