Assessment and Testing

One district shares how it uses data, flexible learning pathways and technology to meet students where they are while continuing to challenge them to grow.

AI training for teachers must go beyond prompt writing to address privacy, accuracy, assessment, student use, bias, and professional judgment.

AI in schools can support educators, but decisions involving grades, discipline, services, safety, and opportunity must remain in human hands.

AI detection in schools cannot prove authorship. Schools need fairer ways to protect academic integrity and assess what students understand.

AI rules for schools should leave no student guessing. A practical guide to assignment AI levels, disclosure, privacy, detection and family communication.

Assessment testing is outdated. As colleges move away from test scores, schools must adopt modern methods that reflect real student learning.

Homework in the AI era is being rethought as schools question its role in assessment, equity, and authentic student learning.

Assessment in the AI era is reshaping grading as AI tools challenge how students complete work and demonstrate authentic learning.

AI detection in schools is facing growing skepticism as teachers question its accuracy and shift toward teaching responsible AI use rather than policing it.