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rachel levin

DePaul Sued Over Online Proctoring Tool - 0 views

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    Quote from Robert Gibson in a listserv: "If you do a quick google search for how to cheat online proctoring you will find a ton of sophisticated ways to cheat any proctoring system. These methods aren't hard to execute. No matter what draconic rules proctoring softwares require, students determined to cheat WILL find a way around them. In my view, online proctoring does not prevent cheating. It only increases test anxiety in honest students. The best way to curb cheating on exams is to 1) design better assessments (not exams), 2) create open-ended questions that are hard to cheat (because they are complex), or 3) create exams that are so difficult that collaboration is required." Additionally, Robert mentioned that, in a recent webinar, Paul Leblanc said (roughly, not verbatim) that cheating occurs because we don't measure learning, we measure grading.
Natalie Hebshie

7 Ways to Assess Students Online and Minimize Cheating - 1 views

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    7 Ways to Assess Students Online and Minimize Cheating
jenn stevens

Education Is On The Frontlines Of The AI Culture Wars - 0 views

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    I don't think people with existing skills will ever adopt generative AI as part of their daily practice. Instead, I think we're going to see lines drawn in the sand. After all, the folks who have those skills worked to establish them, often spending years honing such skills and going into debt to establish mastery in their fields. I fully expect to see many people bias generative AI as a form of cheating. Early testing shows that those with underdeveloped or emerging skills rather than those who have mastered skills are the most likely to benefit from adopting generative AI in their jobs. This suggests that such adoption could benefit those unprepared, unmotivated, and struggling students the most. It also suggests that their higher-performing peers will see the least amount of help from adopting generative AI. What's lost in this is we want as many students as possible to develop mastery in skills for their studies and their future careers, not use generative AI as a crutch to help them pass. ... I said this last year and think it rings truer today-the mark of future mobility will not be having access to a college education. Rather, it will be if you could afford to go to an institution where a human being taught you or if you had to attend one where you learned from an algorithm.
jenn stevens

Apparently I am a robot - 2 views

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    via Elena
jenn stevens

Do teachers spot AI? Evaluating the detectability of AI-generated texts among student e... - 0 views

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    Ugh.
jenn stevens

AI Is Unavoidable, Not Inevitable - by Marc Watkins - 0 views

  • I think generative AI is unavoidable, not inevitable
  • engaging AI doesn’t mean adopting it
  • Every one of us is already so entwined with dozens of mega-corporations that we support daily through use with all the things that we find necessary to function in our very busy, very online lives, that resisting even one of those is a daunting task. The amount of energy, time, focus, and potential loss of access means we’re all unlikely to resist or look for legitimate alternatives to any of the tools or services I’ve mentioned above.
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  • How do we move from recognizing our technological dependence to making meaningful choices about new technologies like AI? The answer isn't found in moral outrage alone.
  • Our inability to disconnect from technology and make critical, informed decisions is the problem I’d like us to explore, not simply generative AI.
  • We should all advise people to be cautious and skeptical about generative technology because we know very little about how it will impact our lives, not base our objections on value-based judgments about the ethics of using one form of technology v. another in a vast sea of already deeply unethical innovations we all consume daily.
  • Namely generating text doesn’t use much energy compared to streaming an episode of Netflix.
  • Data centers as a whole only use up around 1% to 2% of total energy demand. Most of that isn’t from AI. It comes from a mix of social media, data processing, and cryptocurrency.
  • The screen you are reading this on, like the smartphone in your pocket, wasn’t ethically sourced or sustainably made. The labor used to mine those resources and assemble the final product was invisible and exploitative—like so much of the economic forces that fuel our reality.
  • Our students deserve spaces where such inquiry is welcome and not boiler plated away behind pro-AI adoption initiatives or anti-AI policies within our institutions or our courses.
  • Most importantly, we all deserve some grace here. Dealing with generative AI in education isn’t something any of us asked for. It isn’t normal.
  • Engaging AI in education requires far more resources and time than anyone wants to admit. It also calls for a level of nuance we’re not going to find on our social media feeds. I don’t know enough about generative tools and you likely don’t either to make the important decisions necessary to chart the best path forward for myself or my students with the AI we have today, let alone the AI that is on the near horizon.
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