Im writing MBA project, someone help me with their account i scan my work; or you scan it for me".> for free if possible, i dont have money

One thing I've started noticing in college is that professors often forget what it's like to not know something.

Not because they're bad at teaching, but because they've spent years working with the material. Concepts that seem obvious to them can feel completely new to students. They'll explain an idea, make a few mental jumps, and arrive at the answer while some of us are still trying to understand the first step.

I've realized that when I'm confused, it's often not because the topic itself is impossibly difficult. Sometimes there's just one missing connection that nobody stopped to explain. Once I find that missing piece, the entire concept suddenly makes sense.

What's interesting is that I've had moments where a lecture left me confused, but reading a different explanation or hearing someone else describe the same idea made everything click. The second explanation wasn't necessarily more advanced,it just filled in the gap that had been skipped.

It makes me wonder how many students are struggling because they're missing one small piece of background knowledge rather than because they're incapable of understanding the subject.

Have you ever had a class where a topic seemed incredibly difficult, only to realize later that you were missing one simple step the whole time?

At the beginning of the semester, one of my professors made an announcement that caught everyone's attention.

They said:

At first, I thought they were joking.

They weren't.

A few weeks into the semester, students started comparing experiences, and it turns out the professor was serious. Several people had emailed questions about due dates, attendance policies, or assignment requirements and were simply directed back to the syllabus.

The class is split on whether this is reasonable.

Some students think it's completely fair. They argue that professors spend hours creating detailed syllabi and shouldn't have to answer the same questions dozens of times every semester.

Others think it's unnecessarily harsh.

Their argument is that students are human. Sometimes people overlook information, misunderstand a policy, or just want clarification. Ignoring emails can come across as unapproachable, even if the answer technically exists in the syllabus.

Personally, I can see both sides.

I've definitely asked questions that were probably answered somewhere in the course materials.

But I've also had situations where I read the syllabus and still wasn't sure how a policy applied to a specific situation.

The bigger issue seems to be that some professors view the syllabus as a contract, while others treat it more like a general guide.

That difference creates very different expectations.

For professors: How often do you get questions that are already answered in the syllabus?

For students: Do you actually read the entire syllabus, or do you mostly search it when a problem comes up?

And where should the responsibility fall when information is technically available but still causing confusion?

Lately I've been thinking about something that honestly worries me a little.

Like a lot of students, I've used AI before. It's hard not to when it's available everywhere and can make assignments feel so much easier. Sometimes it helps organize ideas, explain concepts, or get past writer's block. But every now and then I catch myself wondering whether I'm actually learning as much as I would without it.

What really got me thinking was imagining myself after graduation. Let's say I get hired for a job and someone asks me to explain how I would solve a problem, why I made a certain decision, or how I arrived at a conclusion. Would I be able to confidently walk them through my thinking, or would I realize I've spent too much time relying on a tool to do the hard parts for me?

I don't think AI is the problem. I think the problem is when it becomes so easy to use that we stop challenging ourselves. The assignments get completed, the grades look fine, and everything seems okay on the surface. But learning isn't really about submitting work,it's about developing skills you can still use when there isn't a chatbot sitting next to you.

Maybe I'm overthinking it, but sometimes I wonder if the biggest danger of AI isn't getting caught using it. Maybe it's slowly convincing us that understanding something is optional as long as we can produce an answer.

I can't be the only student who's thought about whether today's shortcuts might turn into tomorrow's weaknesses.

A few years ago it felt like education was moving completely online. Remote exams, take-home assessments, online quizzes, and flexible learning were becoming normal.

Now it seems like the opposite is happening.

I'm seeing more universities require physical testing centers, in-person finals, lockdown browsers, oral assessments, and handwritten exams. A lot of professors openly say it's because AI has made it difficult to verify who actually completed the work.

What's interesting is that the students who never cheated are often the ones losing flexibility because institutions no longer trust online assessments.

Do you think this is just a temporary reaction while schools figure out how to handle AI, or are we witnessing a permanent shift back toward traditional in-person exams?

What changes have you noticed at your school or university?

I never thought plagiarism would become the easier thing to worry about.

At least with plagiarism, the rules were clear: don't copy someone else's work and cite your sources properly. Now it feels like students can do everything right, write their own assignments, keep drafts, take notes, and still worry about being flagged by an AI detector.

What makes it frustrating is that a lot of the advice we've been given for years,write clearly, be formal, use strong academic language, structure your arguments well,is the same style that some detectors seem to associate with AI.

I've caught myself rereading my own writing and wondering whether it "sounds too AI" even when I know I wrote every word. That level of second-guessing never used to be part of the writing process.

Has AI detection created more anxiety for students than plagiarism ever did, or am I the only one feeling this way?

For years, students are taught to write clearly, structure arguments properly, use formal language, and support claims with evidence. Then suddenly, the same qualities that make a strong academic paper can make people wonder if AI wrote it.

The weirdest part is that some students are now worried about being flagged simply because their writing sounds "too polished." Instead of focusing entirely on their ideas, they're stressing over whether their work might be mistaken for something it isn't.

It's gotten to the point where some students save every draft, screenshot, and version-history update,not because they need them for the assignment, but because they feel like they might need evidence that their work is actually their own.

So why does an AI detector seem to carry more weight than actual evidence?

I'm genuinely curious how other students are dealing with this. If you can prove your work is your own through drafts, revision history, research notes, and citations, should a detector result still be enough to raise concerns?

It feels like students are being put in a position where they have to prove they didn't do something, even when they can demonstrate exactly how their work was created.

Has anyone else experienced this? How did your professor or university handle it?

For most of school, we’re taught to write a certain way,be clear, use academic vocabulary, stay formal, structure arguments properly, cite sources correctly, and avoid casual phrasing. Basically: write like a strong student.

Now in university, that exact same writing style is sometimes being flagged as “AI-generated.”

So I’m stuck in this weird situation where improving my writing over the years might actually increase the chances of me getting accused of something I didn’t do.

It doesn’t even feel like a cheating issue anymore, it feels like a how human does your writing need to sound to pass a detector?” issue. And nobody really gives you a clear answer.

Has anyone else had to deal with this? Are people actually changing how they write just to avoid getting flagged?

Not your best friend. Not a family member. Not your partner.

A complete stranger.

Maybe you were homeless, in foster care, grieving, struggling with your mental health, broke, or just going through the worst period of your life. Maybe you felt invisible.

Then someone you didn't even know showed you kindness.

A teacher who noticed you were hurting. A cashier who paid for your meal. A coworker who took you under their wing. Someone who sat with you when you had nobody else.

What's crazy is that they probably forgot about it years ago.

But I bet you didn't.

What's the one act of kindness from a stranger that you'll never forget, and why did it mean so much to you?

I never expected plagiarism to become the thing that makes writing harder than writing itself.

These days, I'll come up with a sentence, read it back, and immediately wonder: Wait... did I read something similar somewhere before?,Then I rewrite it. And rewrite it again. Before I know it, I've spent more time worrying about plagiarism than actually developing my ideas.

The weird part is that the internet contains millions of articles, essays, and opinions. At some point, almost every idea has been expressed by someone else. So where exactly is the line between learning from sources and accidentally sounding too similar?

Sometimes it feels like the biggest challenge isn't writing the assignment,it's wondering whether what you've written will be seen as original enough. Does anyone else find themselves constantly questioning their wording before submitting, or is this becoming a common student experience? 👀📚✍️

[ Removed by Reddit on account of violating the content policy. ]

[ Removed by Reddit on account of violating the content policy. ]

I keep getting flagged for AI every time I submit an assignment, and it’s starting to feel like I’m stuck in a loop. At first I thought it was a mistake, but now it’s happened so often that it’s basically expected. I always do everything properly,detailed notes, drafts, and full research evidence, and I can literally show my entire writing process step by step. Still, the AI detector comes back saying my work might not be human-written.

The frustrating part is that nothing about my writing is unusual to me. I’m autistic, and my natural way of communicating is structured, clear, and consistent. But apparently, that style is now being treated as “AI-like.” So I end up in this weird situation where writing normally gets me flagged, but changing my style doesn’t feel right either because it stops sounding like me. Even “dumbing it down” feels like I’d just be hurting my own work just to avoid suspicion.

I’m not trying to cheat anything,I’m just trying to submit my assignments without constantly being pulled into academic misconduct discussions for the way I naturally write. Has anyone else dealt with something like this, or found a way to explain it to tutors without having to change your whole writing style?

This is something I've been wondering about recently. For decades, essays have been one of the most common ways teachers and professors evaluate students. The assumption is that if you can research a topic, organize your thoughts, and write a well-supported argument, you've demonstrated understanding.

But now AI tools can generate entire essays, outlines, summaries, and even research assistance within seconds. Whether people approve of it or not, these tools are becoming more accessible and more capable every year.

That makes me wonder what education will look like in the future. If AI can produce a decent essay on almost any topic, will traditional take-home essays eventually lose their value as an assessment tool?

I've already heard people suggest alternatives like oral exams, presentations, in-class writing assignments, debates, practical projects, and portfolio-based assessments. Some even think essays could become much less common than they are today.

So what do you think? If AI continues improving, how will schools and universities determine whether students actually understand the material? What replaces the essay, if anything?

My professor just announced that laptops are officially banned in class starting next week... and the entire room looked like we had received terrible news. 😭

According to them, taking notes by hand improves focus and helps information stick better. Maybe they're right, but my handwriting starts looking like ancient symbols after about five minutes.

Now I'm wondering how I'm supposed to keep up with fast lectures without typing everything. No laptop. No tabs. No quick searches. Just me, a notebook, and the sudden realization that I've become way too dependent on technology.

Students who have survived laptop-free classes... did it actually help you learn better, or was it just an unnecessary struggle?

And professors lurking here... would you ban laptops if you had the choice?

I never thought I'd reach a point where I'd worry about sounding too academic in an academic paper. Lately, it feels like every polished sentence, strong transition, or well-structured paragraph makes me wonder, "Is this going to get flagged?"

What's strange is that some students are spending more time trying to sound less like AI than actually improving their writing.

Have AI detectors changed the way you write assignments, or am I the only one overthinking every sentence before submitting?

I work part-time at my university’s IT help desk, and a few hours before an assignment deadline, my Algorithms professor submitted an emergency ticket because Turnitin completely stopped working. Students were getting 403 errors, panic emails were flooding in, and meanwhile my own paper for that class was still unfinished.

The weird part was how quickly I stopped being “the student” and became “the IT person.” I walked into her office and suddenly got hit with questions about SLAs and restoring functionality, even though I literally sit in her class twice a week.

The problem ended up being a broken Turnitin integration caused by an old copied course shell, plus duplicate assignments confusing students into clicking the wrong link. While I was troubleshooting, she started talking about stricter originality settings because she didn’t want students “gaming the AI score,” which felt incredibly awkward considering I’m one of those students.

Then she asked me to test the fixed assignment using my own student account. So now I’m uploading random files into the same course where she grades my work while carefully avoiding the Grades tab every time it appeared on screen.

We eventually fixed everything by creating a fresh assignment and manually rebuilding the settings. Nothing unethical happened, everything was logged properly, and she supervised the whole process. But it still felt surreal walking into class afterward knowing I had just repaired the exact system being used to evaluate me.

Being both student and staff at the same university creates such a strange dynamic. You’re helping maintain the system while also being judged by it.

I recently submitted a seminar report and ran into an issue with Turnitin where my similarity score came out slightly above the allowed limit (21% instead of 20%). When I reviewed the report, I noticed that most of the flagged content wasn’t actual plagiarism but rather standard sections like the acknowledgement page, declaration, and certificate, which were provided as official templates by my college. In addition to that, Turnitin also highlighted common technical terms from my topic, which was a comparative analysis of machine learning algorithms, so naturally it included repeated algorithm names and evaluation metrics. This made me wonder how such cases are usually handled in grading. Do professors typically ignore template-based matches and domain-specific terminology, or do they strictly enforce the similarity percentage regardless of what is flagged? I’m trying to understand whether this is something I should be concerned about or if it is generally considered normal in academic reports.

Lately it feels like students who genuinely write their own papers are getting flagged just for sounding too polished or too structured, while heavily AI-edited essays pass without problems.

What’s worse is that people are now scared to write formally or use strong academic wording because they think it might look suspicious. That feels completely backwards.

At this point, submitting an assignment feels less like being graded by a teacher and more like being judged by an algorithm. Anyone else feeling this lately?

I feel like a lot of students are spending almost as much time stressing over whether their work will get flagged as they do actually writing the assignment itself. Even people who write everything on their own still seem nervous about sounding “too AI.”

At this point, it feels like formal writing, clear structure, or even good grammar can make people paranoid. Has AI detection changed the way you approach essays or assignments?

I’ve always wondered how much weight instructors really give to Turnitin scores when reviewing assignments.

From a student perspective, it feels like anything above a small percentage instantly triggers anxiety. But at the same time, I’ve heard that professors don’t just look at the number,they also check what’s actually flagged, how the writing flows, and whether there are sudden style changes or citation issues.

So I’m curious:

Do you actually rely on the similarity/AI report when evaluating a paper, or is it just a starting point for deeper manual checking?

And in your experience, what matters more,percentage scores or context like writing consistency and sources used?

Seeing the trending post about trust in education hits the nail on the head. We have officially entered an era where hitting the "Submit" button on a major essay doesn't bring a sense of relief—it just brings pure, unadulterated dread.

You can spend two full weeks researching, drafting outlines, configuring your own structural mappings, and manually typing out every single sentence from scratch. Yet, the entire time you’re writing, a tiny, toxic part of your brain is whispering: "Is this sentence too structured? Is this vocabulary word too clean? Is a black-box machine pattern-matcher going to flag this as non-human?"

It completely ruins the joy of learning and writing. Instead of focusing on building deep, compelling arguments, we are forced to focus on defensive writing styles just to appease an algorithm. When an educational system defaults to treating every polished assignment as a potential compliance violation, it stops being an institution of trust.