AI-assisted homework requires redesign, not just policing
Claim
If out-of-class work will often involve AI, schools need to redesign instruction and assessment instead of only trying to police student use.
Stance
Supported by the source article as a practical implication of AI access.
Evidence
-
The Long Game: Why AI Implementation Is a 3–5 Year Rebuild argues that work sent outside of class should be assumed to involve AI assistance.
-
The article says the answer is not more restrictions alone but redesign of assignments, in-class AI use, homework expectations, and assessment structures.
-
Potkalitsky argues that many teachers no longer know what students know and that assessment must change accordingly.
-
They’re Not Necessarily Trying To… supports this claim through its discussion of relevant to assessment redesign, student AI use policies, faculty development, and pedagogy because it shifts the frame from detection and prohibition toward purpose, process, modeled AI workflows, and relational teaching.
-
AI-Proofing Your Classroom — Sort Of supports this claim through its discussion of high relevance for classroom instructors seeking alternatives to surveillance, bans, punitive academic-integrity policies, and low-value discussion-board work.
-
Could ChatGPT Do This Overnight If…? supports this claim through its discussion of highly relevant for assignment design, AI policy implementation, assessment redesign, visible-process pedagogy, authentic learning, project-based learning, and teacher professional development.
-
The AI Revolution Looks Like Homework supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
-
If We’re Going to Adapt to the Age of AI, We Need to Chip Away at Transactional Education supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
-
How Teens Use and View AI supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
-
Pretexting in Medias Res supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
-
Separate AI Literacy and Assessment Integrity supports this claim by arguing that assessment-integrity responses should focus on evaluation redesign rather than only folding cheating concerns into AI literacy instruction.
Practical implication
Schools should redesign assignments, classroom routines, and assessment systems instead of relying mainly on rules, rubrics, or detection-style policing of student AI use.