Anthony Gray's ID Portfolio

Navigation links: ETAP 623 Fall 2024 | Link to my mini-course front page: Anthony Gray's Mini Course (Front Page)

About Me

Hey there! I'm Anthony, a sixth-grade math and science teacher who loves finding new ways to make learning fun and engaging. Outside of the classroom, I’m all about staying active—I enjoy going to the gym, hitting the slopes on my snowboard, and spending time with my dog. Teaching is a passion for me, and I’m always on the lookout for creative approaches, especially when it comes to using technology to make education more impactful for my students. Looking forward to learning and sharing with you all!

My Topic and Purpose

My mini-course, "Using AI to Transform Your Classroom," is designed to empower educators with practical strategies for implementing AI effectively in K-12 settings. By focusing on hands-on applications, this course will guide participants through identifying and using AI tools to enhance personalized learning, streamline administrative tasks, and engage students through adaptive lessons. I chose this topic because I believe AI has the potential to revolutionize education, and I want to help teachers embrace it confidently as a tool to better support student success.

Scope of Learning Outcomes and Content

This course focuses on developing educators' knowledge, skills, and attitudes to integrate AI into their classrooms effectively. Participants will:

Knowledge: Gain foundational understanding of AI tools and their applications in education.
Skills: Learn how to personalize learning, create AI-driven lesson plans, and streamline administrative tasks.
Attitudes: Address misconceptions and build confidence in viewing AI as a supportive ally for teaching.

By the end of the course, participants will feel empowered to create adaptive lessons and use AI tools to improve student engagement and outcomes.

Needs Assessment

The Educational Problem or Opportunity

AI offers transformative opportunities for personalized, efficient learning environments. However, many educators feel intimidated by AI or lack practical knowledge on how to use it effectively. This mini-course addresses that gap by providing clear, hands-on strategies to use AI confidently in classrooms.

The Learners/Participants

The course targets K-12 educators with varied levels of familiarity with technology. Whether tech-savvy or tech-curious, these teachers seek practical, actionable ways to integrate AI into their teaching.

Analysis of Gaps

Currently, many teachers view AI as too complex or irrelevant, limiting their willingness to experiment with it in the classroom. Ideally, educators would see AI as an accessible, beneficial tool for enhancing teaching and learning. This course bridges that gap by addressing misconceptions and providing accessible, real-world applications.

Existing Efforts

Professional development programs often focus on AI’s theoretical benefits but lack hands-on, classroom-specific strategies. Additionally, they don’t adequately address the fears or misconceptions educators may have about AI.

Intent Statement

This mini-course aims to demystify AI, provide practical experience with classroom applications, and foster confidence in educators to use AI as a transformative tool. Through interactive activities and targeted guidance, participants will leave with the knowledge and skills to integrate AI effectively into their teaching.

Analysis of the Learner and Context

Learner and Context Analysis

Participants

K-12 educators with varying levels of tech experience. Some may have basic familiarity with tools like Google Classroom, while others may have more advanced digital skills.

Learning Setting

The course will be delivered online in a flexible, self-paced format. Each module is designed to be completed in 30-45 minutes, making it accessible for busy schedules.

Time Commitment

Participants can complete the course in 4-6 hours. The self-paced design allows flexibility to progress at their convenience.

Resources Needed

Participants need internet access, a device with a web browser, and basic computer skills. A notepad (digital or physical) is recommended for reflections and activity notes.

Performance-Based Objectives

After completing this mini-course, learners will be able to:

Identify key AI tools and applications relevant to classroom teaching.
Integrate AI technologies to personalize learning experiences and meet diverse student needs.
Develop and implement lesson plans using AI tools to enhance engagement and interactivity.
Critically evaluate AI tools for their effectiveness and appropriateness in an educational setting.
Address common misconceptions about AI in education and advocate for its role as a supportive teaching tool.
Confidently use AI to streamline administrative tasks, allowing for more focus on direct student interaction.
Demonstrate effective use of AI tools by creating a sample lesson that incorporates personalized, adaptive elements

Task and Content Analysis

Objective 1: Identify key AI tools and applications relevant to classroom teaching.

Prerequisites: Familiarity with basic technology used in education.
Activities: Explore and test AI tools like ChatGPT, Edpuzzle, and adaptive learning platforms.

Objective 2: Address common misconceptions about AI in education.

Prerequisites: Awareness of popular myths about AI.
Activities: Role-play debates to debunk myths, group discussions on AI’s supportive potential.

Objective 3: Critically evaluate AI tools for classroom appropriateness.

Prerequisites: Criteria for evaluating educational technology.
Activities: Review and assess AI tools using rubrics; peer discussions on ethical and practical implications.

Objective 4: Integrate AI to personalize learning. (Advanced Objectives

Prerequisites: Understanding of differentiated instruction.
Activities: Practice using AI platforms to create personalized lesson plans.

Objective 5: Develop and implement lesson plans using AI.

Prerequisites: Lesson planning basics.
Activities: Create and share AI-enhanced lesson plans; peer review for feedback.

Objective 6: Streamline administrative tasks with AI.

Prerequisites: Basic proficiency with classroom admin tools.
Activities: Automate grading and attendance using AI; brainstorm further applications.

Objective 7: Demonstrate mastery by creating an adaptive lesson.

Prerequisites: Experience with adaptive learning tools.
Activities: Design and present a personalized lesson using AI; reflect on benefits and challenges.

Curriculum Map

Sample Lesson Plan: Using AI Tools to Create a Personalized and Adaptive Lesson

Lesson Title: Exploring Ecosystems with Adaptive AI Tools

Grade Level: 6th Grade Science

Duration: 60 minutes

Objective: Students will explore the characteristics of ecosystems and analyze how organisms interact within them, using AI tools to receive personalized feedback and adapt learning paths based on their understanding.

Lesson Outline

1. Introduction (10 minutes)

Objective: Introduce the concept of ecosystems and set the stage for personalized learning.
Activities:
- Begin with a class discussion: "What is an ecosystem, and why is it important?"
- Use an AI-powered interactive presentation tool (e.g., Nearpod or Edpuzzle) with embedded questions to assess prior knowledge.
- Real-time data from the AI tool will show areas of strength and gaps in understanding, allowing for dynamic adjustments to the lesson focus.

2. Personalized Learning Activity (30 minutes)

Objective: Use adaptive AI tools to explore ecosystems and analyze interactions.
Activities:
- Step 1: Students log in to an adaptive learning platform (e.g., Knewton or Classkick) tailored for ecosystems.
  - The platform presents interactive content, including videos, quizzes, and simulations, adapting the difficulty level based on student responses.
  - Example: A student struggling with food chains might be presented with simpler content, while a more advanced learner receives challenges on trophic levels and energy pyramids.
- Step 2: Students complete an AI-generated quiz embedded in the platform.
  - Questions are personalized based on each student’s pace and understanding.
  - Example: If a student misses a question about producers and consumers, the tool provides immediate feedback and directs them to additional resources.
- Step 3: Virtual ecosystem simulation.
  - Students use AI tools like PhET Interactive Simulations to build their own ecosystems.
  - AI analyzes their choices (e.g., number of predators vs. prey) and provides feedback on the stability and sustainability of their ecosystem.

3. Collaborative Group Work (15 minutes)

Objective: Share and refine understanding based on AI insights.
Activities:
- Students form small groups to share their simulated ecosystems and discuss feedback received from the AI tool.
- Each group presents one insight about how AI helped them refine their understanding of ecosystems.

4. Reflection and Assessment (5 minutes)

Objective: Reflect on learning and provide evidence of mastery.
Activities:
- Use an AI-powered reflective tool (e.g., Padlet or Flip) for students to write or record short reflections:
  - "What was the most surprising thing you learned about ecosystems today?"
  - "How did the AI tools help you understand the topic better?"
- The teacher reviews AI-collected data (e.g., quiz scores, activity completion rates) to identify areas for future instruction or intervention.

Materials and Technology

Devices with internet access (e.g., laptops or tablets)
AI-powered tools: Edpuzzle, Knewton, Classkick, PhET Interactive Simulations
Projector or screen for collaborative discussions
Headphones (if students need to watch personalized videos)

Assessment

Formative: Real-time feedback from AI tools and peer group discussions.
Summative: Completion of the personalized ecosystem simulation and accuracy on the adaptive quiz.
Reflection: Insights shared on Padlet or Flip about the learning process and the role of AI.

Adaptations for Diverse Learners

Struggling learners: AI adjusts content difficulty and provides step-by-step explanations.
Advanced learners: AI offers enrichment tasks and deeper challenges on ecosystem dynamics.
Students with special needs: AI tools provide text-to-speech, closed captions, and alternative response formats.

Teacher Reflection

After the lesson, the teacher reviews AI analytics to identify patterns in student performance.
Adjust future lessons to target common misconceptions or extend learning for advanced topics.

This lesson plan integrates personalized and adaptive AI elements to enhance student engagement and individualize learning, ensuring that every student progresses at their own pace.

References and Resources

1. Luckin, R. (2017). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.
2. Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60-70.
3. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
4. Cope, B., & Kalantzis, M. (2020). Artificial intelligence for education: Knowledge and skills for learning and society. Routledge.
5. Becker, S., & Cummins, M. (2021). K-12 artificial intelligence literacy: A hands-on guide to empower teachers and students. International Society for Technology in Education (ISTE).