Abstract
Artificial intelligence (AI) is becoming a regular part of classrooms, offering new ways to enhance learning. Yet, many AI tools still focus on delivering content, which can limit student engagement. The Human-AI Team Learning (HATL) model encourages a different direction, where students interact with AI as a collaborative partner. This model helps future educators design learning experiences that promote curiosity, critical thinking, and creativity. The HATL model is built on five key principles that make human-AI teamwork meaningful. First, aligned learning goals ensure that AI supports what students want to achieve, keeping learning purposeful. Second, context-aware interaction means AI can respond to students based on where they are in their learning journey. Third, adaptability allows AI to adjust as students grow and their needs evolve. Fourth, reflection and guidance, led by educators, help students think critically about AI suggestions, encouraging ethical and thoughtful decision-making. Finally, support for student autonomy empowers learners to take charge, using AI to explore, solve problems, and make informed choices. This process transforms how students engage with technology. Learning becomes a collaborative process where students actively shape their experience, develop critical skills, and prepare for a world where working alongside AI is increasingly common.
Presenters
Hang YuanAssistant Professor, Art and Design, University of Southern Indiana, Indiana, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
HUMAN AI TEAM LEARNING, STUDENT ENGAGEMENT, CRITICAL THINKING, EDUCATIONAL TECHNOLOGY
