AI Teacher Assistant: Empowering Educators with AI
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AI Teacher Assistant: Empowering Educators with AI

College/UniversityOther5 days
5.0 (1 rating)
This project challenges college/university students to responsibly design and implement an AI Teacher Assistant to enhance teaching practices. Students explore the ethical implications of AI in education and develop a functional AI assistant prototype tailored to automate specific teacher tasks. The project culminates in a mock trial and evaluation report to assess the AI assistant's effectiveness and usability, providing recommendations for improvement and a deeper understanding of AI's role in education.
AI Teacher AssistantEthical AI in EducationAI Prototype DesignDesign ThinkingAI EvaluationTeacher WorkloadPersonalized Learning
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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we responsibly design and implement an AI Teacher Assistant to enhance teaching practices while addressing ethical considerations and limitations?

Essential Questions

Supporting questions that break down major concepts.
  • How can AI be used to automate administrative tasks for teachers?
  • What are the ethical considerations of using AI in education?
  • How can AI personalize learning experiences for students?
  • What are the limitations of using AI as a teacher assistant?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:
  • Understand AI's role in education.
  • Explore ethical implications of AI in teaching.
  • Develop an AI assistant prototype.
  • Evaluate AI's impact on teachers' daily tasks.

Entry Events

Events that will be used to introduce the project to students

Design Thinking for Teachers: Building AI Solutions That Matter

Challenge students to a design thinking workshop where they interview local teachers about their biggest pain points and time-consuming tasks. Using these insights, students prototype AI assistant solutions tailored to specific teacher needs. They then present their prototypes to the teachers for feedback, iterating on their designs based on real-world input.
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Portfolio Activities

Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.
Activity 1

AI in Education: A Landscape Analysis

Students will research and write a report on the current applications of AI in education. This activity introduces them to the various ways AI is already being used and sets the stage for identifying potential areas for improvement or innovation.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Research existing AI tools and applications used in education.
2. Summarize the functions and benefits of each tool.
3. Compile the findings into a comprehensive report.

Final Product

What students will submit as the final product of the activityA detailed report summarizing AI's current applications in education, including examples and potential benefits.

Alignment

How this activity aligns with the learning objectives & standardsAddresses the learning goal: Understand AI's role in education.
Activity 2

The Ethics of AI Teaching: A Debate

Students will participate in a debate on the ethical considerations surrounding the use of AI in education. This activity challenges them to think critically about issues like data privacy, bias, and the impact on human interaction.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Research ethical considerations related to AI in education (e.g., bias, privacy).
2. Prepare arguments for and against the use of AI in education.
3. Participate in a structured debate and reflect on the discussion.

Final Product

What students will submit as the final product of the activityA written reflection summarizing the debate, including key arguments and personal insights on the ethical implications of AI in education.

Alignment

How this activity aligns with the learning objectives & standardsAddresses the learning goal: Explore ethical implications of AI in teaching.
Activity 3

AI Assistant Design Challenge: Prototype Creation

Students will design and build a basic AI assistant prototype tailored to a specific teacher need identified during the entry event. This hands-on activity allows them to apply their knowledge of AI and design thinking to create a practical solution.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Choose a teacher task to automate based on needs identified in the entry event.
2. Design the AI assistant's functionality and user interface.
3. Build a basic prototype using available AI tools and platforms.
4. Present the prototype and its benefits to the class.

Final Product

What students will submit as the final product of the activityA functional AI assistant prototype that automates a specific teacher task, along with a presentation explaining its features and benefits.

Alignment

How this activity aligns with the learning objectives & standardsAddresses the learning goal: Develop an AI assistant prototype.
Activity 4

AI Assistant Mock Trial: Effectiveness Evaluation

Students will conduct a mock trial of their AI assistant prototype. In the trial, students will act as teachers and use the AI assistant, then provide feedback on its effectiveness and usability.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Conduct a mock trial of the AI assistant with students acting as teachers.
2. Collect feedback on the assistant's effectiveness and usability.
3. Analyze the feedback and write an evaluation report with recommendations.

Final Product

What students will submit as the final product of the activityA comprehensive evaluation report that analyzes the AI assistant's effectiveness and usability, including feedback from the mock trial and recommendations for improvement.

Alignment

How this activity aligns with the learning objectives & standardsAddresses the learning goal: Evaluate AI's impact on teachers' daily tasks.
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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

AI Teacher Assistant Rubric

Category 1

AI in Education Landscape Analysis

This category assesses the student's ability to research, summarize, and report on the current applications of AI in education.
Criterion 1

Research Depth

Depth of research into existing AI tools and applications in education

Exemplary
4 Points

Demonstrates comprehensive research, covering a wide range of AI tools and applications with detailed examples.

Proficient
3 Points

Demonstrates thorough research, covering a variety of AI tools and applications with relevant examples.

Developing
2 Points

Shows emerging research, covering some AI tools and applications with limited examples.

Beginning
1 Points

Shows initial research, covering few AI tools and applications with minimal examples.

Criterion 2

Clarity & Organization

Clarity and organization of the report summarizing AI tools and applications

Exemplary
4 Points

Report is exceptionally clear, well-organized, and easy to understand, with logical flow and compelling structure.

Proficient
3 Points

Report is clear, well-organized, and easy to understand, with a logical flow and clear structure.

Developing
2 Points

Report shows emerging clarity and organization, with some logical flow and structure.

Beginning
1 Points

Report lacks clarity and organization, with minimal logical flow and structure.

Criterion 3

Comprehensiveness

Comprehensiveness of the report, including examples and potential benefits of AI in education

Exemplary
4 Points

Report is highly comprehensive, providing extensive examples and insightful analysis of the potential benefits of AI in education.

Proficient
3 Points

Report is comprehensive, providing clear examples and analysis of the potential benefits of AI in education.

Developing
2 Points

Report shows emerging comprehensiveness, providing some examples and a basic analysis of the potential benefits of AI in education.

Beginning
1 Points

Report lacks comprehensiveness, providing few examples and minimal analysis of the potential benefits of AI in education.

Category 2

Ethics of AI Teaching Debate

This category assesses the student's ability to research, argue, and reflect on the ethical considerations surrounding the use of AI in education.
Criterion 1

Ethical Research

Thoroughness of research into ethical considerations related to AI in education (e.g., bias, privacy)

Exemplary
4 Points

Demonstrates comprehensive research into a wide range of ethical considerations, including detailed analysis of bias and privacy.

Proficient
3 Points

Demonstrates thorough research into various ethical considerations, including clear analysis of bias and privacy.

Developing
2 Points

Shows emerging research into some ethical considerations, including basic analysis of bias and privacy.

Beginning
1 Points

Shows initial research into few ethical considerations, with minimal analysis of bias and privacy.

Criterion 2

Argument Quality

Quality of arguments presented for and against the use of AI in education

Exemplary
4 Points

Presents exceptionally well-reasoned and persuasive arguments for and against the use of AI in education, demonstrating deep critical thinking.

Proficient
3 Points

Presents well-reasoned and persuasive arguments for and against the use of AI in education, demonstrating effective critical thinking.

Developing
2 Points

Presents emerging arguments for and against the use of AI in education, demonstrating basic critical thinking.

Beginning
1 Points

Presents weak arguments for and against the use of AI in education, demonstrating minimal critical thinking.

Criterion 3

Reflection Depth

Depth of reflection on the debate, including key arguments and personal insights

Exemplary
4 Points

Provides a highly insightful and comprehensive reflection on the debate, demonstrating deep understanding of key arguments and personal insights.

Proficient
3 Points

Provides a clear and thorough reflection on the debate, demonstrating clear understanding of key arguments and personal insights.

Developing
2 Points

Provides an emerging reflection on the debate, demonstrating some understanding of key arguments and personal insights.

Beginning
1 Points

Provides a minimal reflection on the debate, demonstrating limited understanding of key arguments and personal insights.

Category 3

AI Assistant Design Challenge

This category assesses the student's ability to design and build an AI assistant prototype tailored to a specific teacher need.
Criterion 1

Task Relevance

Relevance of the chosen teacher task to automate, based on needs identified in the entry event

Exemplary
4 Points

Chooses a highly relevant teacher task that directly addresses significant needs identified in the entry event, demonstrating exceptional insight.

Proficient
3 Points

Chooses a relevant teacher task that addresses clear needs identified in the entry event, demonstrating thorough understanding.

Developing
2 Points

Chooses a somewhat relevant teacher task that addresses some needs identified in the entry event, demonstrating basic understanding.

Beginning
1 Points

Chooses a teacher task that is not very relevant to the needs identified in the entry event, demonstrating limited understanding.

Criterion 2

Design Quality

Quality of the AI assistant's functionality and user interface design

Exemplary
4 Points

Designs highly innovative and user-friendly functionality and user interface, demonstrating exceptional creativity and design skills.

Proficient
3 Points

Designs functional and user-friendly functionality and user interface, demonstrating clear creativity and design skills.

Developing
2 Points

Designs basic functionality and user interface, demonstrating some creativity and design skills.

Beginning
1 Points

Designs minimal functionality and user interface, demonstrating limited creativity and design skills.

Criterion 3

Prototype Effectiveness

Effectiveness of the AI assistant prototype in automating the chosen teacher task

Exemplary
4 Points

Creates a highly effective AI assistant prototype that significantly automates the chosen teacher task, demonstrating advanced AI skills.

Proficient
3 Points

Creates an effective AI assistant prototype that clearly automates the chosen teacher task, demonstrating thorough AI skills.

Developing
2 Points

Creates a basic AI assistant prototype that somewhat automates the chosen teacher task, demonstrating some AI skills.

Beginning
1 Points

Creates a minimal AI assistant prototype that minimally automates the chosen teacher task, demonstrating limited AI skills.

Criterion 4

Presentation Quality

Clarity and persuasiveness of the presentation explaining the prototype's features and benefits

Exemplary
4 Points

Delivers a highly clear and persuasive presentation, effectively communicating the prototype's features and benefits with exceptional clarity.

Proficient
3 Points

Delivers a clear and persuasive presentation, effectively communicating the prototype's features and benefits with clear articulation.

Developing
2 Points

Delivers a somewhat clear presentation, communicating the prototype's features and benefits with some articulation.

Beginning
1 Points

Delivers a minimal presentation, communicating the prototype's features and benefits with limited articulation.

Category 4

AI Assistant Mock Trial

This category assesses the student's ability to conduct a mock trial, collect feedback, and evaluate the AI assistant's effectiveness and usability.
Criterion 1

Mock Trial Thoroughness

Thoroughness of the mock trial with students acting as teachers

Exemplary
4 Points

Conducts a highly thorough mock trial, engaging students effectively and gathering extensive feedback on the AI assistant.

Proficient
3 Points

Conducts a thorough mock trial, engaging students and gathering clear feedback on the AI assistant.

Developing
2 Points

Conducts a basic mock trial, engaging some students and gathering some feedback on the AI assistant.

Beginning
1 Points

Conducts a minimal mock trial, engaging few students and gathering limited feedback on the AI assistant.

Criterion 2

Feedback Analysis

Quality of the analysis of feedback collected during the mock trial

Exemplary
4 Points

Provides a highly insightful and comprehensive analysis of the feedback, identifying key areas for improvement and offering innovative solutions.

Proficient
3 Points

Provides a clear and thorough analysis of the feedback, identifying key areas for improvement and offering practical solutions.

Developing
2 Points

Provides a basic analysis of the feedback, identifying some areas for improvement and offering basic solutions.

Beginning
1 Points

Provides a minimal analysis of the feedback, identifying limited areas for improvement and offering minimal solutions.

Criterion 3

Report Effectiveness

Effectiveness of the evaluation report, including recommendations for improvement

Exemplary
4 Points

Writes a highly effective evaluation report with insightful and actionable recommendations for improving the AI assistant's effectiveness and usability.

Proficient
3 Points

Writes an effective evaluation report with clear and practical recommendations for improving the AI assistant's effectiveness and usability.

Developing
2 Points

Writes a basic evaluation report with some recommendations for improving the AI assistant's effectiveness and usability.

Beginning
1 Points

Writes a minimal evaluation report with limited recommendations for improving the AI assistant's effectiveness and usability.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning
Question 1

How has your understanding of AI's role in education evolved throughout this project?

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Question 2

To what extent do you believe AI can genuinely assist teachers in their daily tasks, and what are the limitations?

Scale
Required
Question 3

What was the most challenging aspect of designing and evaluating your AI assistant prototype, and how did you overcome it?

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Question 4

In what specific ways could the AI assistant prototypes developed in this project be improved to better meet the needs of teachers?

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Required
Question 5

Which of the following skills did you develop or strengthen through this project?

Multiple choice
Required
Options
Research and analysis
Ethical reasoning
Design thinking
Prototyping
Evaluation and feedback
Collaboration