My little sister's use of ChatGPT for homework is heartbreaking
An anecdote about an 11‑year‑old using ChatGPT to complete all her homework sparks broader concern over how large language models may undermine genuine learning rather than just speed it up. Commenters debate whether this is fundamentally a parenting and school-design problem, comparing LLMs to past shifts like calculators and the internet, and questioning the value of traditional homework in a world where answers are instantly available. Many argue that education will need to pivot toward in-class assessment, project-based work, and explicitly teaching students how to use AI as a learning aid rather than a shortcut.
Homework, flipped classrooms, and in‑class work
- Many argue that traditional homework is now pointless if LLMs can do it; suggest moving most or all graded work into the classroom on paper or locked devices.
- Flipped classroom ideas (lectures at home, practice in class) are debated: some find them effective and more equitable; others say video engagement is poor and many students won’t watch.
- Several expect a long‑term shift toward heavy weighting of in‑class exams, essays, and oral work, with homework mainly for practice, not grading.
LLMs, cheating, and institutional response
- Widespread AI use for homework is seen as a continuation of longstanding cheating (copying from classmates, WhatsApp, Encarta, parents).
- Some say if “everyone cheats” it becomes the school/university’s problem; institutions have strong incentives not to confront it and “you can’t fail them all.”
- Others see this as an existential threat to assessment: if AI output is indistinguishable from student work, the assignment design is broken.
Parents, home environment, and childhood
- A recurring theme: where are the parents? Many blame disengaged or overwhelmed caregivers who outsource both learning and screen use.
- Counterpoint: many parents lack time, education, or tech understanding to supervise AI use; dual‑income and stressed households are common.
- There is concern about very young kids with unsupervised internet/phone access and age‑inappropriate content; some see this as a broader tech/attention crisis.
Calculators, past panics, and what counts as “learning”
- Frequent comparison to calculators, slide rules, and Google: tools once seen as “cheating” became standard.
- Dissenters argue calculators offload arithmetic, but LLMs offload understanding, composition, and problem setup, not just mechanics.
- Debate over whether education should focus less on rote skills and more on analysis, problem‑solving, and tool‑use literacy.
AI as tool vs crutch
- Many distinguish “using AI to check, explain, or critique your own work” (seen as beneficial) from “having AI do the work to copy verbatim” (seen as self‑sabotage).
- Some parents/teachers already use LLMs as tutors, graders, or feedback givers, sometimes via prompts that explicitly forbid direct answers.
- Others worry LLMs encourage intellectual laziness, erode basic skills, and train students to trust authoritative‑sounding nonsense.
Broader societal and equity concerns
- Thread notes existing functional illiteracy rates and fears LLMs could mask or worsen them, though some hope AI and screen readers might also help.
- Several argue the real issue is structural: grades as competition for scarce slots, social mobility tied to credentials, and homework used to push responsibility onto families.
- Some see AI as another disruptive “force multiplier” that will reward two groups: those who wield it aggressively (“the quick”) and those with deep understanding to direct it (“the deep”).