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An IU team received a large award to help advance artificial intelligence to improve people’s lives.

The Institute conducts research on AI-driven narrative-centered learning environments with embodied conversational agents and powerful multimodal sensing capabilities to create deeply engaging collaborative story-based learning experiences. The Institute’s AI-driven learning environments build on its advances in core AI on natural language processing, computer vision, and machine learning.

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Featured Projects  View All »

PrimaryAI: Integrating Artificial Intelligence into Upper Elementary Science with Immersive Problem-Based Learning

PrimaryAI will enable students to collaboratively learn about artificial intelligence by using age-appropriate AI tools to solve ecology problems in science adventures as they engage in argument from evidence, analyze and interpret data, develop models, and construct explanations.

Net.Create: Using Network Analysis to Support Digital Humanities in Large History Classrooms

Net.Create supports the collaborative generation of data as a method of interpreting evidence from multiple historical texts and then using network analysis to understand the complexity of historical interactions.

Generalized Embodied Modeling to support Science through Technology Enhanced Play (GEM-STEP)

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

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