Hello all, this is Prof C coming to you from the beautiful UNLV campus in Las Vegas, University of Nevada. Today, I want to discuss the use of generative AI in education, specifically its application in class work this fall.
As we all know, the campus is currently quiet, but in a few weeks, it will come alive as students and faculty return. Before we dive into the topic, let’s briefly recap what happened in the previous semesters when generative AI tools like ChatGPT became widely known. Faculty members were shocked by the capabilities of these tools, and students were thrilled to have a powerful tool to assist them with assignments.
During the summer break, universities and departments have developed guidelines to define the ethical and responsible use of generative AI in the classroom. For instance, at UNLV, instructors are encouraged to integrate generative AI thoughtfully into their teaching practices, assessments, and class discussions. The goal is to foster an environment that promotes the ethical use of this technology.
Another institution has added a policy that explicitly states that unauthorized use of artificially generated content, including the use of AI tools, is considered academic dishonesty. This policy aims to ensure that students do not misuse generative AI in quizzes, tests, or other assessments without permission from the instructor.
However, the challenge lies in determining the boundaries of academic dishonesty. For example, commonly available tools like spelling or grammar checking software are generally accepted, but where do we draw the line? Tools like Lex.Page or Microsoft’s Co-Pilot, which complete paragraphs or suggest anticipated words, blur the line between human and AI-generated content.
Moreover, AI detection tools, which are meant to identify AI-generated content, have proven to be unreliable. Recent incidents, such as the case at Texas A&M, where an entire class was falsely accused of using generative AI, highlight the limitations of these tools.
To navigate this complex landscape, I have some tips for both faculty and students. Students should consult their syllabus and clarify any uncertainties with their professors. When using generative AI, students should only ask questions they already know the answer to, as AI can sometimes generate inaccurate information. It is also advisable for students to document their writing process using tools like Google Docs to demonstrate their progress over time.
Faculty members should avoid relying solely on AI detection tools and instead consider alternative approaches, such as requiring students to submit their work in stages or using platforms that allow for transparent observation of the writing process. It is crucial for faculty to stay informed about AI developments and allocate time for learning about AI themselves.
Lastly, both faculty and students should exercise caution when using AI to communicate sensitive or high-stakes information. It is better to use personal words of sympathy rather than relying on AI-generated content.
In conclusion, the use of generative AI in education presents both opportunities and challenges. By establishing clear guidelines, fostering dialogue between instructors and students, and staying informed about AI advancements, we can ensure the responsible and effective integration of generative AI in the classroom.
Thank you for watching, and I’ll see you soon!
