Description
Short Course: Leveraging Generative AI for Collaborative Learning in Education
Course Overview
This course is designed to help educators utilize generative AI tools to foster collaborative learning environments. Participants will explore how AI can facilitate group projects, peer interactions, and collaborative knowledge-building activities, enhancing student engagement and promoting active learning.
It provides educators with the skills to enhance collaborative learning experiences through generative AI, fostering deeper engagement and enabling efficient group work and peer learning in various educational settings.
Course Duration:
3 Days (12 hours total)
Target Audience:
Educators, instructional designers, and academic professionals interested in using AI to enhance collaborative learning.
Day 1: Introduction to Collaborative Learning and Generative AI
Session 1: Understanding Collaborative Learning (2 hours)
- Topics:
- The importance of collaborative learning in education: Benefits and challenges.
- Models of collaborative learning (peer-to-peer, group work, project-based learning).
- Role of technology and AI in enhancing collaborative learning environments.
- Practical Exercise:
- Reviewing case studies where collaborative learning was enhanced by AI tools.
Session 2: Generative AI as a Collaborative Learning Facilitator (2 hours)
- Topics:
- Overview of generative AI tools for collaboration (e.g., ChatGPT, Google AI, Notion AI).
- How AI supports brainstorming, ideation, and group discussions.
- Using AI to generate prompts, questions, and feedback for group activities.
- Practical Exercise:
- Using AI to generate collaborative learning activities and discussion prompts.
Day 2: Facilitating Group Work and Peer Learning with AI Tools
Session 3: AI Tools for Group Projects and Collaborative Work (2 hours)
- Topics:
- How generative AI can assist in group projects by distributing tasks and managing workflow.
- Automating content creation and ideation for group projects using AI.
- AI-supported tools for collaboration (Google Docs, Slack with AI integrations).
- Practical Exercise:
- Setting up a collaborative group project using AI tools to assign roles, generate content, and manage timelines.
Session 4: Enhancing Peer-to-Peer Learning with Generative AI (2 hours)
- Topics:
- How AI can assist peer feedback, review, and collaborative learning cycles.
- AI tools for peer mentoring and shared learning resources.
- Generating personalized feedback for peer interactions using AI.
- Practical Exercise:
- Using AI to facilitate a peer review process for collaborative projects.
Day 3: Building Collaborative Learning Communities and Addressing Challenges
Session 5: Creating AI-Assisted Collaborative Learning Spaces (2 hours)
- Topics:
- Designing virtual learning spaces that promote collaboration using AI tools.
- AI-powered chatbots and virtual assistants to guide collaborative learning activities.
- Managing collaborative projects and communication with AI tools (e.g., Miro, Trello with AI).
- Practical Exercise:
- Creating a virtual collaborative learning space with integrated AI tools for a specific course or project.
Session 6: Ethical Considerations and Best Practices for AI in Collaborative Learning (2 hours)
- Topics:
- Addressing challenges: Over-reliance on AI, data privacy, and student engagement.
- Best practices for ensuring balanced human-AI collaboration.
- Future trends in AI-supported collaborative learning (multimodal AI, real-time collaboration).
- Group Discussion:
- Sharing experiences and strategies for integrating AI in collaborative learning.
Assessment and Certification:
- Final project: Design and implement a collaborative learning activity or project using generative AI tools. The activity should include peer-to-peer interactions, group work, and real-time collaboration.
- Participants will receive a certificate upon successful completion of the course and final project.
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