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7 Ways to Effectively Use AI in the Computer Science Classroom

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Colorado Convention Center, Mile High Ballroom 3B

Explore and create: Exploratory Creation lab
Preregistration Required
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Presenters

Photo
PD Specialist
CodeHS
David is a computer science engineer and an AI subject matter expert with 20 years of experience in professional software services and entrepreneurship with an additional 15 years in education. Prior to joining CodeHS, as a Professional Development Specialist helping teachers implement CS, David spent time in the classroom in the Chicago area instructing students and teachers in a wide array of computer science and STEM initiatives.

Session description

Discover practical strategies for enhancing academic integrity and exploring differentiated learning approaches tailored to diverse student abilities. Learn how to integrate AI to provide code review and debugging, and collaborative problem-solving. Walk away with actionable insights and resources to enrich your ACS curriculum while promoting integrity and individual growth.

Purpose & objective

Purpose:
The purpose of this presentation is to equip educators with practical skills and strategies for harnessing AI to enhance their teaching methods, foster student growth, and uphold academic integrity in the classroom. Attendees will gain insights into leveraging AI to differentiate assignments, support students in coding and debugging, and maintain academic honesty.

1. Differentiating Assignments with AI:
- Understand the concept of differentiated learning and its importance in catering to diverse student needs.
- Learn how AI tools can analyze students' performance data and suggest tailored assignments.
- Explore real-world examples of AI-powered assignment differentiation.

2. Empowering Students in Coding and Debugging:
- Discover how AI can serve as a coding companion, aiding students in understanding coding concepts and debugging their programs.
- Explore AI-driven coding platforms and tools designed to enhance student learning and independence.
- Gain practical tips on integrating AI into coding instruction effectively.

3. Preserving Academic Integrity with AI:
- Recognize the challenges of academic integrity in the digital age.
- Learn about AI-driven plagiarism detection and prevention tools.
- Explore strategies for educating students on responsible AI use and academic honesty.

4. Hands-On Workshops and Demonstrations:
- Engage in interactive workshops and demonstrations showcasing AI tools and platforms.
- Practice using AI to differentiate assignments, support coding, and ensure academic integrity.
- Receive guidance on integrating AI into existing curriculum and teaching practices.

5. Q&A and Discussion:
- Encourage participant questions and discussions to address specific classroom challenges.
- Foster collaboration and idea sharing among educators on AI integration.
- Provide resources and references for further exploration of AI in education.

By the end of this presentation, participants will have the skills and knowledge to effectively use AI as a powerful tool for differentiated instruction, coding support, and academic integrity preservation in their classrooms. They will leave with practical strategies and resources to enhance their teaching practices and promote student success in the digital age.

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Outline

1. Demo Differentiating Assignments with AI: (15 minutes)
Explore real-world examples of AI-powered assignment differentiation.
Using previous school examples and a live demo.

2. Empowering Students in Coding and Debugging: (15 minutes)
Gain practical tips on integrating AI into coding instruction effectively.
Demo and show real school examples on using AI to improve debugging and code review.

3. Preserving Academic Integrity with AI: (15 minutes)
Explore strategies helping educators use AI and Data Science tools like a box-whisker plat to support academic integrity.

All session will have allow for hands-on session so that participants can learn effective AI prompts

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Supporting research

AI for Educators...Matt Miller

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Session specifications

Topic:
Artificial Intelligence
Grade level:
6-12
Skill level:
Beginner
Audience:
Coaches, Curriculum/district specialists, Teachers
Attendee devices:
Devices useful
Attendee device specification:
Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Participant accounts, software and other materials:
None
Subject area:
Computer science
ISTE Standards:
For Educators:
Leader
  • Advocate for equitable access to educational technology, digital content and learning opportunities to meet the diverse needs of all students.
Citizen
  • Establish a learning culture that promotes curiosity and critical examination of online resources and fosters digital literacy and media fluency.
Designer
  • Use technology to create, adapt and personalize learning experiences that foster independent learning and accommodate learner differences and needs.