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Team Formation

Individual vs Team Participation​

Individual Sessions​

  • Focus: Personal skill development and learning analysis
  • Benefits: Detailed individual performance tracking
  • Assessment: Complete personal coding behavior analysis
  • Ideal for: Self-paced learners and skill assessment

Team Collaboration​

  • Format: 2-3 person teams for collaborative challenges
  • Focus: Communication and knowledge sharing patterns
  • Benefits: Real-world collaboration experience
  • Assessment: Team dynamics and collective problem-solving

Team Composition Strategies​

Skill-Based Pairing​

  • Mixed Experience: Combine different skill levels
  • Complementary Skills: Pair frontend with backend developers
  • Learning Goals: Match students with similar objectives

AI Tool Preference Groups​

  • Tool Specialists: Group users of specific AI assistants
  • Exploration Teams: Mixed tool usage for comparison
  • Learning Partnerships: Experienced with novice AI users

Collaboration Guidelines​

Communication Protocols​

  • Screen Sharing: Transparent problem-solving process
  • Voice Discussion: Clear explanation of thought processes
  • Code Review: Peer evaluation and learning
  • Documentation: Shared understanding and knowledge transfer

Role Distribution​

  • Driver/Navigator: Rotate coding and guidance roles
  • Research Specialist: Focus on documentation and AI querying
  • Quality Assurance: Testing and validation responsibility
  • Integration Lead: Coordinate component combination

Research Participation​

Data Collection​

  • Individual Tracking: Personal coding patterns and AI usage
  • Team Dynamics: Collaboration and communication analysis
  • Knowledge Sharing: How teams transfer and build knowledge
  • Problem-Solving: Collective approach and decision-making
  • Anonymous Analysis: No personal identification in research
  • Voluntary Participation: Opt-out available at any time
  • Data Transparency: Full explanation of collected information
  • Results Sharing: Access to findings and conclusions

Formation Process​

Self-Selection​

  • Open Choice: Students choose their own teammates
  • Compatibility Matching: Skill and schedule alignment
  • Goal Coordination: Shared learning objectives

Facilitated Matching​

  • Skill Balancing: Instructor-guided team composition
  • Experience Distribution: Mixed ability levels
  • Diversity Promotion: Various backgrounds and perspectives

Random Assignment​

  • Research Control: Eliminate selection bias
  • Skill Development: Work with unfamiliar teammates
  • Real-World Simulation: Professional team dynamics

Success Strategies​

Effective Collaboration​

  • Clear Communication: Express ideas and questions openly
  • Active Listening: Understand and build on teammate contributions
  • Constructive Feedback: Support learning and improvement
  • Shared Responsibility: Equal participation and accountability

AI Tool Integration​

  • Tool Sharing: Demonstrate and teach AI techniques
  • Critical Evaluation: Collectively assess AI suggestions
  • Knowledge Synthesis: Combine AI assistance with team expertise
  • Learning Documentation: Record effective strategies and patterns

Ready to form your team? Explore the challenge overview