Multi-role GenAgents
The GENIUS Center researchers and developers have developed and deployed six multi-role GenAgents in STEM classes to help create engaging and personalized learning experiences, driving educational innovation at scale.
Explore and Partner With GENIUS
We continue improving these technologies and developing new capabilities based on the feedback from teachers and students who are using them in teaching and learning.
We are also looking for opportunities to expand their applications to more classes in various disciplines.
Interested in partnering with us to integrate these technologies into your classroom, feel free to contact us
Inquiry Agent
Data Analysis and Interpretation in STEM+C learning are fundamental pillars that bridge the gap between abstract theoretical knowledge and tangible empirical evidence.
InquiryAgent supports students to engage in authentic scientific inquiry for data analysis through training Machine learning models. It features:
Key Features:
- Providing just-in-time prompts to guide the inquiry process.
- Generating adaptive feedback to scaffold students’ scientific inquiry
- Responding to conceptual questions to strengthen students’ understanding of core science and machine learning concepts.
Click here for resources related to LabAgent.
EngageAgent
Asking Questions and Defining Problems stands at the core of SEPs and is pivotal in stimulating intellectual curiosity and critical thinking among students.
EngageAgent is a multi-agent tool to generate engaging materials based on cognitive engagement strategies.
Click here for resources related to EngageAgent.
ArguAgent
Engaging students in Argumentation from Evidence cultivates essential skills in reasoning, evidence-based analysis, and persuasive communication. One way to facilitate argumentation is to engage students in problem-solving tasks in small groups.
ArguAgent supports and monitors students in scientific argumentation using the claim-evidence-reasoning framework. ArguAgent is a collaborative learning buddy to facilitate small-group scientific argumentation to deepen understanding of science concepts and engage in collaborative dialogue with peers.
ArguAgent collaborates with teachers to monitor argumentation dynamics for real-time intervention.
Click here for resources related to ArguAgent.
ModelAgent
Developing and Using Models is an essential science and engineering practice that empowers students to represent complex systems and explain phenomena in a visualized manner.
ModelAgent supports students to engage in constructing scientific models and evidence-based explanations.
Click here for resources related to ModelAgent.
PedagogyAgent
Computational thinking and modeling is essential to promote students’ STEM+C learning.
PedagogyAgent is a knowledgeable, collaborative peer agent to enhance students’ computational thinking and coding activities. It works alongside students as they design, build, and debug computational models through contextual awareness.
Click here for resources related to PedagogyAgent.
LabAgent
Engaging students in Planning and Carrying Out Investigations serves as a critical mechanism for verifying assumptions and fostering a deeper understanding of scientific knowledge.
LabAgent is an intelligent AI tutor that provides context-aware, real-time, and adaptive guidance to help students use integrated simulations to generate investigable questions and hypotheses, design experiments, and collect and analyze data for scientific investigations.
Click here for resources related to LabAgent.
