PhD Research: Collaborative AI in Education

Research at RMIT University

Investigating frameworks for AI-AI interaction (multi-agent systems) and AI-Human interaction to solve complex problems in sustainable environments. Application domain: Education Technology (EdTech).

Research Questions

• ▹RQ1: How can AI agents collaborate effectively in multi-agent systems?
• ▹RQ2: What factors influence human trust and acceptance when interacting with AI?
• ▹RQ3: What design is optimal for collaborative AI systems in educational environments?

Methodology

Mixed Methods approach — combining controlled lab experiments (eye tracking, EEG, surveys) with semi-structured qualitative interviews (Thematic Analysis). Preliminary results indicate that AI interface design significantly impacts user trust and collaboration effectiveness.

# PhD Research Framework
institution: RMIT University (Melbourne, VN campus)
domain: Collaborative AI
application: Education Technology (EdTech)
methodology: Mixed Methods
  quantitative:
    - Controlled lab experiments
    - Eye tracking, EEG, surveys
  qualitative:
    - Semi-structured interviews
    - Thematic Analysis
current_phase: "Data collection + analysis (Round 1)"