Cheaters Gotta Cheat
Someone just asked me to cheat on a tutoring platform. I’ve reported them.
Photo by Inês Ferreira on UnsplashYep, cheaters gotta cheat. Don’t you know? Here’s what happened. Someone posted a job offer for tutoring. I responded to the offer. A few hours later, I got a message that said:
😩
How is this tutoring? This is not teaching someone how to solve math problems. This is asking me to answer exam questions for some kid. This is not what I do. I’m not a cheater! Note that this request was made in contravention of the stated academic honesty policy of the platform. The gall!
I guess they looked at my profile, saw that I was green on this platform, and decided that I’d easily play into their games. Haha. As if. I may be green on the platform, but I’m not green at life. I did have a teaching stint in a college some years back, and I reported two cheaters in my classes then. I can do it again.
I really don’t see what’s in it for me. If I were to accept this charade, I’d be getting two hours of pay, and maybe some repeat business, in two hour chunks or so. However, when I teach someone how to solve problems, I do spend more than two hours per exam with them. So, right off the bat, this is a shitty proposition.
In addition, and more importantly, if someone has no qualms asking a tutor to cheat in this way, they’ve proved themselves to be a dirtbag. Do I want to do business with dirtbags? Nope. Getting them to pay for my services might be hard. They might also leave me a shitty review for reasons that have nothing to do with tutoring. In my experience, dirtbags are unstable.
Finally, taking timed tests is not what I want to do with my time. Yes, I can do it, no, I do not want to do it.
I reported them to the tutoring platform. The platform responded that they are taking care of it.
#AcademicHonesty #AutisticWriters #cheating #tutoring #YourAutisticLife
https://www.yourautisticlife.com/2024/08/01/cheaters-gotta-cheat/
AI Plagiarism Considerations Part 1: AI Plagiarism Detectors https://aiedusimplified.substack.com/p/ai-plagiarism-considerations-part
Perfectly-timed - I was just having a conversation with an instructor about these "tools".
#AI #Plagiarism #Detection #Ethics #AcademicHonesty #AcademicIntegrity
Got introspective while mowing the lawn today, and machines can be great but the #ai boom is so skewed. As a demo, I still love this 2016 paper by Ribeirio, Singh, and Guesterin.
https://arxiv.org/abs/1602.04938
If that doesn't work, I just get a decision tree out and have a large group time themselves in a robust session of 20 questions... it's the counting tasks we should be handing off to the machines, not the rest of it. #artificialintelligence #machinelearning #computing #academichonesty #honestai
Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model. Such understanding also provides insights into the model, which can be used to transform an untrustworthy model or prediction into a trustworthy one. In this work, we propose LIME, a novel explanation technique that explains the predictions of any classifier in an interpretable and faithful manner, by learning an interpretable model locally around the prediction. We also propose a method to explain models by presenting representative individual predictions and their explanations in a non-redundant way, framing the task as a submodular optimization problem. We demonstrate the flexibility of these methods by explaining different models for text (e.g. random forests) and image classification (e.g. neural networks). We show the utility of explanations via novel experiments, both simulated and with human subjects, on various scenarios that require trust: deciding if one should trust a prediction, choosing between models, improving an untrustworthy classifier, and identifying why a classifier should not be trusted.
Here's a remix of popular classic segments that focus on the evolving nature of academic integrity and how to manage in our #anatomy & #physiology courses.
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#AcademicIntegrity #Plagiarism #Cheating #AcademicHonesty https://t.co/6YttKHcFgX https://theapprofessor.org/podcast-episode-146.html?utm_source=dlvr.it&utm_medium=mastodon
Here's a remix of popular classic segments that focus on the evolving nature of academic integrity and how to manage in our #anatomy & #physiology courses. . https://t.co/Hbh0tgXyEz . #AcademicIntegrity #Plagiarism #Cheating #AcademicHonesty
@wissmobb Hi! the #OnlineLearning #OnlineTeaching #AcademicHonesty #AcademicIntegrity webinar went great! I love talking about this stuff!!
You can view the recording here: https://sunycpd.eventsair.com/sot when it gets posted (it's not there yet).
In the mean time, here are the links to information and resources i shared. https://docs.google.com/document/d/1FHmPkBLcB_nAhgH_3G2TWfW1D_9XIwHbNfCX48Tbt8I/edit?usp=sharing
I will be leading a #free & #open webinar on Strategies to Support Online #AcademicIntegrity - November 10, 2022. 12-1PM ET.
#Cheating is a #pedagogical issue, not a technological one. This session will provide strategies, tools, & resources to assist #OnlineFaculty & #IDs better understand how to support online #AcademicHonesty & online faculty/learner success. #OnlineTeaching #OnlineLearning #InstructionalDesign
#StudentSuccess
#EdToot
Registration (free) required: https://sunycpd.eventsair.com/sot/