Generative AI

  • Academic Integrity,  Assessment and Evaluation,  Generative AI

    Determining Levels of Acceptable GenAI Use

    Many instructors are contemplating what level of GenAI (e.g., ChatGPT) use is acceptable for students when completing their assessments.  Instructors who have tried the tools have seen how well they can generate text in response to a prompt or request. It concerns them that they will not be able to tell when a student has completed an assessment with or without this kind of assistance and the validity of assessment will become uncertain. If you’re new to GenAI, read these posts: Need to learn more about ChatGPT New! USask Enterprise GenAI New module added to academic integrity tutorial   Students are gaining more experience with these tools and looking for…

  • Generative AI

    New! USask’s Enterprise GenAI

    USask’s very own Generative AI solution for faculty and administrative staff goes live this week! The Microsoft AI tool — currently named “Bing Chat” but being rebranded as “Copilot” — utilises GPT4 and Dall-E 3, the most up-to-date version of the text and image generating models developed by OpenAI. Some significant features to note of our enterprise license, especially in comparison to ChatGPT: Users are each permitted 200 independent chats per day, with 30 exchanges per chat. In addition to text conversations, you can prompt the chat directly to generate images and even drop images into the chat field with queries! For the best experience, use either Microsoft Edge or…

  • Academic Integrity,  Assessment and Evaluation,  Generative AI

    Identifying Plagiarism

    Preventing academic misconduct is always better than policing it. But, sometimes you notice a problem and wonder if the work you are marking was really created by or fully authored by the student who submitted it. It is your responsibility, according to the academic misconduct regulations to follow up judiciously with your concerns. Educator judgment It is important to keep an educator’s mindset. As the instructor, you are the most likely to be able to identify academic misconduct. This is because you are most closely connected to: the student and the course, the purpose of the assessment, and the instructions given to students about acceptable and unacceptable processes. It is…

  • Academic Integrity,  Assessment and Evaluation,  Generative AI

    Identifying ChatGPT Text-based Plagiarism

    General plagiarism identification advice applies to ChatGPT text-based plagiarism, too. Read this post for more on possible plagiarism flags. You may have heard about detection tools but they are not reliable, recommended or approved for use. Read this post for more on current limits of these tools. Read this article about how ChatGPT can be prompted to beat the detection tools Read this post for more on how our academic misconduct regulations may apply. ChatGPT is less about accuracy and more about generating responses indistinguishable, linguistically, to what humans would produce.  This means much of what ChatGPT produces seems like work we would attribute to our students.  There are some…

  • Academic Integrity,  Assessment and Evaluation,  Generative AI

    How to Talk with Students About Suspected Academic Misconduct

    Faculty and instructors follow up with suspected academic misconduct and when we do, we show we care about students and their learning the validity of the assessment the fairness of grades for all students in the course. When we don’t follow up, there are risks for students. If students are not made aware of their errors that constitute academic misconduct, they may make the same errors again. If students are aware of their academic misconduct, but there are no consequences, they may risk it again. If other students see that academic misconduct goes unaddressed, they can lose confidence in the fairness of the assessments.   Talking to an individual student…

  • Generative AI,  Instructional / Course Design

    Generating Learning Outcomes with Generative AI

    However essential we know learning outcomes to be for orienting students, articulating them can be an arduous process. Where does one even begin? Thankfully, this is one area where Generative AI’s capabilities really deliver. Using a text-producing AI tool such as SMARTIE’s Course Structure Assistant, insert as many details about your course and the desired output as possible. Here is a sample prompt that you might submit to AI to produce course-level learning outcomes: Please create 6 learning outcomes that consider the following parameters. This is a university course at the [ordinal] year level of a [discipline] program. The course title is: “[Course title]”. The description is: “[Custom course description]”.…

  • Academic Integrity,  Assessment and Evaluation,  Generative AI

    ChatGPT Detection Tools – neither approved nor recommended at USask

    Within weeks of the release of ChatGPT, generative artificial intelligence (GenAI) detectors were claiming to be able to identify the text it produces. However, a growing body of research has found that these detection tools are not effective. Even the company that created ChatGPT (OpenAI) abandoned their detector in July 2023 due to its low rate of accuracy. Consequently, such tools are neither approved nor recommended for use at the University of Saskatchewan. Here is what recent research has demonstrated about the lack of efficacy of these tools: 1.) They are unreliable – False positives can lead to false accusations False positives occur when a detector concludes that text was…

  • Assessment and Evaluation,  Generative AI

    Getting AI to make questions for you

    You know you should make your class active. Asking students regular, low stakes questions about the key concepts, skills, and process you are teaching is essential. In a  50 minute lesson, it is great to do that 5 times.  You shouldn’t grade any of the questions, and you should asks students to talk with with each other about each one.  Even when you know it is important, it can be hard to do. Who actually has time? We wind up avoiding doing making active components because we are already spending so much time making slides of our content and creating assessment we then spend even more time marking. The good…

  • Academic Integrity,  Educational Technology,  Generative AI

    New Module on GenAI added to Academic Integrity Tutorial

    The Academic Integrity Tutorial has a new addition entitled Understanding Generative AI which focusses on the ethical and responsible use of generative artificial intelligence (GenAI) in university.  ChatGPT is one tool among thousands that fall under the GenAI category. This means there are now 4 modules that each take about 45 minutes to complete (a total of about 3 hours for most students). Module 1 – Understanding Academic Integrity Module 2 – Understanding Generative AI Module 3 – Developing Skills that Prevent Academic Misconduct Module 4 – Understanding Your Rights and Responsibilities   The open version of the tutorial as always, is available on the Library’s website. Each end-of-module quiz…

  • Assessment and Evaluation,  Educational Technology,  Generative AI

    Prompting Generative AI to help you plan for your class quickly

    Having a good teaching assistant (TA) can be so important. While anyone needs clear direction to grade an essay with the same criteria you use, it is incredibly helpful to have someone help carry the teaching load. Turns out that Generative AI (like Chat GPT) doesn’t just force you to redesign your assessments for academic integrity reasons – with good prompting it can even help you do that redesign. It just needs the clear direction and oversight you give a TA. Learning to prompt can save you time Prompting AI is the process of giving clear parameters for what you want. When you start chatting with an AI you are…