How I changed teaching after AI managed to do all my homework assignments

I need to analyze this Hacker News discussion about AI's impact on education and identify the 4 most prevalent themes in the opinions expressed.

Let me go through the discussion and identify recurring themes:

1. The fundamental problem with AI in education: Many commenters discuss how AI makes it impossible to assess real learning because students can use AI to complete assignments without understanding the material. This ties into concerns about cheating and the devaluation of education.

2. Solutions involving oral exams/interviews: Several commenters suggest oral exams as a solution since they're harder to cheat on with AI (though some note they don't scale well, while others argue they do scale or suggest using AI to help administer them).

3. Critique of homework and assignments: Many commenters argue that homework has become meaningless in the age of AI since students just use LLMs to complete it, and discuss alternatives like making homework optional, ungraded, or changing how it's assessed.

4. Debate about scaling and practicality: There's significant discussion about whether proposed solutions (like oral exams, flipped classrooms, etc.) can actually scale to large class sizes, with examples from different educational systems (particularly German universities).

5. Philosophical debate about the purpose of education: Some commenters discuss whether education should be about learning or just credentialing, and whether forcing students to learn is necessary or counterproductive.

6. Alternative assessment methods: Suggestions include frequent low-stakes quizzes, project-based learning, open-book exams with specific constraints, and other innovative approaches.

Let me look for the most prevalent themes by counting how many times different ideas appear:

Theme 1: AI makes traditional assessment (especially homework) ineffective - Multiple commenters mention this: a57721, nfrankel, prophessorthread, viccis, etc. - Example: "I've tried to explain to my students that it's in their interest to think about home assignments on their own, but the majority will obviously use gen AI, and it's such a waste of time to check and grade LLM output." (a57721) - Example: "bambax: There is indeed no point in grading home assignments anymore..."

Theme 2: Oral exams/interviews as a solution - Many commenters discuss this: N_Lens, leoedin, Propelloni, naveen99, CrimsonRain, universa1, etc. - Example: "I was surprised the first time a colleague asked me to do an oral exam. I thought it was a burden on people with poor social interaction skills. It went surprisingly well: you could see in a couple of minutes if the student had integrated the concepts of the course, even if they were shy." (nfrankel) - Example: "Oral exams don't scale at the beginning with hundreds of students per course, agreed. So make them in-person written exams..." (Propelloni) - Example: "They do scale if the examiner is an LLM." (naveen99)

Theme 3: Scalability concerns and practical implementation - Significant discussion about whether solutions can work in large classes: BeetleB, Propelloni, lostlogin, etc. - Example: "Oral exams don't scale at the beginning with hundreds of students per course, agreed." (Propelloni) - Example: "2 hours is a lot! In my universities, classes were either 50 minutes, or 70 minutes." (BeetleB) - Example: "The country of Argentina, despite its crippling debt, is able to provide free university education where the majority of classes for most majors are graded with an oral exam." (lukehandcool)

Theme 4: The purpose of education and motivation - Philosophical discussion about why students are in university: isityettime, Asooka, andrewflnr, Barrin92, etc. - Example: "I was thinking that one of the great ironies of artificial intelligence is that it will make good teaching even more labour intensive. Those kids that can afford the one to one tuition required to push past our natural inclination to be lazy will learn things, while everyone else will succumb to outsourcing all their thinking." (leoedin) - Example: "It's reaching levels where most uni diplomas don't matter any longer. The only thing that will then matter is your network. That's the end of social mobility." (tgv) - Example: "Maybe the Germans were right? One in-person test, preferably an interview, at the end of the semester should be enough to motivate the smarter part of the bunch to make sure they understand the issues at hand. The rest is chaff anyway." (Propelloni)

Let me verify these are indeed the most prevalent by checking frequency:

Theme 1 (AI breaking homework/assessment): Appears in comments from a57721, nfrankel, prophessorthread, viccis, bambax, pks016, armchairhacker, etc. - very frequent

Theme 2 (Oral exams as solution): N_Lens, leoedin, Propelloni, naveen99, CrimsonRain, universa1, lostlogin, etc. - very frequent

Theme 3 (Scalability concerns): BeetleB, Propelloni, lostlogin, lukehandcool, universa1, etc. - frequently discussed

Theme 4 (Purpose/motivation of education): leoedin, isityettime, Asooka, andrewflnr, Barrin92, Propelloni ("chaff" comment), etc. - appears throughout

Other potential themes: - Flipped classroom discussion: helsinkiandrew, raphman, officehero, foresterre, cheesecakegood, etc. - appears but maybe not as dominant as the four I identified - Alternative assessment methods: frequent low-stakes quizzes, project-based work - mentioned but not as central as oral exams - Ethical considerations: viccis, chemodax, etc. - present but less frequent

Let me double-check if flipped classroom might be more prevalent than one of my themes:

Flipped classroom mentions: - helsinkiandrew: "Isn't the answer the 'flipped classroom'..." - raphman: Discussion about pros/cons - officehero: Personal experience - foresterre: Experience with it - cheesecakegood: Critique of flipped classroom - pks016: Colleague's experience - tha_hnrain: Suggestion - garg: Reference to Khan Academy - officehero: Wikipedia links - sfink: Alternative idea

This is actually quite prevalent. Let me reconsider my four themes.

Looking again, I see:

1. AI making traditional assessment obsolete (especially homework) - very strong
2. Oral exams/interviews as solution - very strong
3. Scalability/practicality concerns - strong
4. Flipped classroom model - strong
5. Purpose/motivation of education - strong but maybe slightly less than flipped classroom?

Actually, looking at the volume, flipped classroom discussion seems very substantial. Let me count approximate mentions:

AI breaking assessment: ~15+ comments Oral exams: ~12+ comments Scalability: ~10+ comments Flipped classroom: ~8+ comments Purpose/motivation: ~7+ comments

But I need to be precise about the 4 most prevalent.

Let me try a different approach - what are the main solution-oriented discussions?

• Oral exams (with scaling debates)
• Flipped classroom
• Making homework optional/ungraded
• Frequent low-stakes assessments
• Project-based learning

And the main problem discussions: - AI breaking homework - Student motivation - Scalability issues - Ethical concerns

Given the instruction to find the 4 most prevalent themes of opinions expressed, I think:

1. The ineffectiveness of traditional homework/assignments in the AI era
2. Oral examinations as a potential solution (with debate about scalability)
3. The flipped classroom model as an approach
4. Concerns about scalability and practical implementation of solutions

But scalability is often tied to specific solutions (oral exams, flipped classroom), so maybe it's better as a cross-cutting concern.

Looking at the discussion again, I notice that many comments are responses to specific solutions proposed, debating their scalability.

Let me try to identify themes that stand alone:

Theme 1: AI has made traditional assessment methods (particularly graded homework) obsolete or counterproductive - Supported by: a57721, nfrankel, prophessorthread, viccis, bambax, pks016, armchairhacker, etc. - Key quotes: * "I've tried to explain to my students that it's in their interest to think about home assignments on their own, but the majority will obviously use gen AI, and it's such a waste of time to check and grade LLM output." (a57721) * "There is indeed no point in grading home assignments anymore" (bambax) * "it's such a waste of time to check and grade LLM output" (a57721)

Theme 2: Oral examinations/interviews are proposed as a solution that AI cannot easily circumvent - Supported by: nfrankel, Propelloni, naveen99, CrimsonRain, universa1, leoedin, N_Lens, etc. - Key quotes: * "I was surprised the first time a colleague asked me to do an oral exam. I thought it was a burden on people with poor social interaction skills. It went surprisingly well: you could see in a couple of minutes if the student had integrated the concepts of the course, even if they were shy." (nfrankel) * "They do scale if the examiner is an LLM." (naveen99) * "Oral exams don't scale at the beginning with hundreds of students per course, agreed." (Propelloni) [showing the debate]

Theme 3: The flipped classroom model is discussed as an alternative approach - Supported by: helsinkiandrew, raphman, officehero, foresterre, cheesecakegood, tha_hnrain, garg, etc. - Key quotes: * "Isn't the answer the 'flipped classroom' - students are assigned reading/studying to do before a class and the class becomes more interactive..." (helsinkiandrew) * "flipped classroom works great in some contexts but is no panacea and requires setting clear expectations." (raphman) * "Flipped classrooms are like, the quintessential siren song for teachers." (cheesecakegood)

Theme 4: Fundamental questions about the purpose of education and student motivation in the AI age - Supported by: leoedin, isityettime, Asooka, andrewflnr, Barrin92, Propelloni ("chaff"), tgv, etc. - Key quotes: * "I was thinking that one of the great ironies of artificial intelligence is that it will make good teaching even more labour intensive. Those kids that can afford the one to one tuition required to push past our natural inclination to be lazy will learn things, while everyone else will succumb to outsourcing all their thinking." (leoedin) * "It's reaching levels where most uni diplomas don't matter any longer. The only thing that will then matter is your network. That's the end of social mobility." (tgv) * "Maybe the Germans were right? One in-person test, preferably an interview, at the end of the semester should be enough to motivate the smarter part of the bunch to make sure they understand the issues at hand. The rest is chaff anyway." (Propelloni)

These four themes seem to capture the bulk of the discussion. Let me verify if any other theme appears more frequently:

• Project-based learning: mentioned by thow88737363667, mtrx, etc. but less frequent
• Frequent low-stakes quizzes: mentioned by armchairhacker, plorkyeran, professorthread, etc. - this is actually quite common
• Ethical considerations: viccis, chemodax, etc. - present but not as dominant

Actually, frequent low-stakes assessments might be more prevalent than flipped classroom in some parts. Let me check:

Low-stakes assessments mentions: - plorkyeran: "all pre-LLM research into what results in students actually learning the material... has landed pretty solidly on the side of frequent, low-stakes exams" - professorthread: "pairing the homework due date with an in-class quiz on the problem set material" - armchairhacker: "I'd recommend many small quizzes." - armchairhacker: "Give a short quiz at the start of the class with one or two problems directly from the homework." - isityettime: "I took some classes like this and they were great."

This is definitely a significant theme. But is it more prevalent than flipped classroom?

Looking at the text, flipped classroom gets its own extended discussion thread, while low-stakes assessments are mentioned in passing by several people.

Similarly, the oral exam discussion is very extensive.

Let me try to quantify by scanning for keywords:

"oral exam" or "oral examination": ~8 mentions "flipped classroom": ~6 mentions "low-stakes" or "frequent quiz": ~5 mentions "homework" (in context of being pointless): ~10+ mentions "scale" or "scalable": ~7+ mentions

But the homework point is really part of Theme 1.

I think my initial four themes are correct, but let me refine Theme 4 to be more specific.

Actually, looking at the discussion, there's a strong thread about whether solutions can scale to large class sizes, which cuts across multiple proposed solutions (oral exams, flipped classroom, etc.).

So perhaps:

1. AI has rendered traditional homework assessment ineffective
2. Oral examinations are proposed as a AI-resistant assessment method
3. The flipped classroom model is debated as a teaching approach
4. Scalability concerns are central to evaluating any proposed solution

This seems accurate based on the discussion.

Let me confirm with direct quotes for each:

Theme 1: AI breaking homework/assessment - a57721: "I've tried to explain to my students that it's in their interest to think about home assignments on their own, but the majority will obviously use gen AI, and it's such a waste of time to check and grade LLM output." - bambax: "There is indeed no point in grading home assignments anymore" - prophessorthread: "I can sus out legit attempts typically by handwriting. No erasing and fast writing means it was copied." (implying AI use is detectable but still problematic to grade)

Theme 2: Oral exams as solution - nfrankel: "I was surprised the first time a colleague asked me to do an oral exam. I thought it was a burden on people with poor social interaction skills. It went surprisingly well: you could see in a couple of minutes if the student had integrated the concepts of the course, even if they were shy." - naveen99: "They do scale if the examiner is an LLM." - universa1: "Usually you know after a few minutes if it's going to be a fail, and then otherwise you only need to figure out where on the passing scale the student ends up."

Theme 3: Flipped classroom model - helsinkiandrew: "Isn't the answer the 'flipped classroom' - students are assigned reading/studying to do before a class and the class becomes more interactive, answering questions/discussing topics/solving problems etc depending on subject." - raphman: "flipped classroom works great in some contexts but is no panacea and requires setting clear expectations." - cheesecakegood: "Flipped classrooms are like, the quintessential siren song for teachers. EVERY teacher dreams of a day when they can focus on what they're best at (teaching deep topics, getting 'aha' moments, making connections, asking questions, and so on) and do less of what they dislike."

Theme 4: Scalability concerns - Propelloni: "Oral exams don't scale at the beginning with hundreds of students per course, agreed." - BeetleB: "2 hours is a lot! In my universities, classes were either 50 minutes, or 70 minutes. I could handle 50 minute ones just fine, but would often have trouble with challenging courses that had 70 minutes." - lostlogin (in response to naveen99): "The article gives examples of LLMs being wrong. An AI grading of an AI submission would presumably give a good mark, to a wrong answer." (scalability with quality concerns)

Actually, for Theme 4, I might reframe it as "debate about student motivation and the purpose of education" since that came up very frequently and is distinct from the scalability of specific solutions.

Let me check which has more mentions:

Scalability mentions: - Propelloni (oral exams don't scale) - BeetleB (class length issues) - lostlogin (multiple times about faculty time/costs) - universa1 (actually argues oral exams DO scale better than expected) - lukehandcool (Argentina example showing it DOES scale) - Propelloni later: "Maybe the Germans were right? One in-person test..."

Purpose/motivation mentions: - leoedin: "Those kids that can afford the one to one tuition... will learn things, while everyone else will succumb to outsourcing all their thinking." - isityettime: Discussion about whether grades should reflect diligence vs mastery - Asooka: "We have entitled crybabies voting for Hitler 2.0 because they can't stomach the uncomfortable feeling..." - andrewflnr: "by the time someone goes to university it's not the instructor's job to fix them." - Barrin92: "You can grade exercises as information to the students as to how well they're doing, but simply have an exam at the end of the course." - Propelloni: "The rest is chaff anyway. Don't optimize for chaff." - tgv: "It's reaching levels where most uni diplomas don't matter any longer. The only thing that will then matter is your network."

Both seem quite prevalent. But the scalability discussion is often tied to evaluating specific solutions (like oral exams), while the purpose/motivation discussion is more fundamental.

Given the instruction to present 4 themes concisely, and based on the overall flow of the discussion, I believe these are the 4 most prevalent:

1. AI has made traditional homework assessment ineffective/wasteful
2. Oral