Case Studies
Restoring Deep Learning with AI + Human Collaboration
Industry: Higher Education
Program: Human Development
Term: Spring 2025

Faculty at Claremont McKenna Graduate College were facing a growing disconnect between AI adoption and actual learning.
AI responses were often confidently wrong
Tools lacked context, nuance, and empathy
Students were submitting work they didn’t fully understand
Academic integrity risks increased through copy-paste behavior
The combined AI + human model consistently outperformed either approach on its own.
Observed Impact
Students and faculty agreed the hybrid workflow was more effective than AI-only or traditional methods
Real-time collaboration significantly enhanced understanding
Students used Kwieri an average of 1–5 times per project, indicating repeat, intentional use
Expert input helped surface assumptions, correct errors, and add real-world context

Stronger student outcomes across project
Increased instructional reach without increased workload
More time spent guiding thinking instead of policing misuse
“Better student outcomes, while allowing me to help more students in less time.”
Deeper comprehension and retention
Increased confidence engaging with AI responsibly
Better questioning, follow-ups, and reasoning
“Experts compensated for AI’s lack of context, correcting outputs and challenging assumptions.”
Kwieri produced measurable improvements across three critical areas:
Proven use case: Validated product-market fit in higher education
Efficiency gains: Improved outcomes while reducing support costs
Scalable model: Enables personalized learning without faculty overload
First-mover advantage: Positioned Kwieri to lead human-centered AI learning in higher ed
This pilot confirmed that AI alone is not the answer—but AI paired with human insight unlocks better learning at scale.
Additional academic programs
Broader institutional deployments
New learning environments where reasoning, judgment, and context matter

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