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FEW questions, many answers: using machine learning to assess how students connect food-energy-water (FEW) concepts

Education

FEW questions, many answers: using machine learning to assess how students connect food-energy-water (FEW) concepts

E. A. Royse, A. D. Manzanares, et al.

Unlock the potential of machine learning in education! This innovative research examined how machine learning can assess students' understanding of the complex Food-Energy-Water Nexus, revealing impressive accuracy in identifying key concepts in their responses. Conducted by a diverse group of scholars, the findings highlight the strengths of students' knowledge about water usage but also unveil challenges in grasping trade-offs.

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