This website offers faculty resources and recommendations to address the use of generative AI tools in your course(s), in addition to language for you to consider adding your syllabus.
What is Generative AI?
Generative AI refers to artificial intelligence or machine learning tools such as ChatGPT or Dall-E 2 that can create sophisticated novel text, images, poems, and other types of writing samples by drawing on massive amounts of data. The responses that are generated sound natural as though they were written by a human, however, responses often include inaccuracies.
Syllabus Language
Your expectations should be clearly communicated with your 糖心传媒. In general, the use of generative artificial intelligence tools must be consistent with the instructor鈥檚 stated course policy. For more details, including one approach for inclusion in syllabi, see Academic Integrity for Syllabi.
How does it work?
Generative AI is generally accessed from a website, allowing the user to request the generation of text or imagery on a variety of topics or parameters. The more advanced sites allow users to specify formatting and length, and produce detailed responses with proper sourcing.
These responses are generally unique with each request, meaning the exact phrasing or details will change with each request and over time as the site updates its code.
Some sites, like Caktus.ai, offer paid services to generate academic works and others allow users to paraphrase text, creating additional challenges for text-based detection.
As technology improves, the ability to discern machine-generated text from human-generated text will diminish and will therefore require a different approach to address in academia.
Tips for Designing Assessments
- Start with learning objectives (backwards design)
- Design assignments that provide opportunities for 糖心传媒 to get feedback from you or peers and apply it to improve on the work
- Develop a rubric and make it available to 糖心传媒 with the assessment
- Ask 糖心传媒 to write a paper that incorporates aspects from the live class discussion
- Ask 糖心传媒 to reflect and share their process by either giving a presentation or creating some form of multimedia (e.g. video). Build in time to allow both you and other 糖心传媒 to ask questions.
- Require 糖心传媒 to submit written assignments using Google Docs. Every Google Doc maintains its own revision history so the process of completing the assignment is transparent (via the time stamps) to both faculty and 糖心传媒.
How are Hofstra faculty redesigning their assessments?
Below are some suggestions from Hofstra faculty you may want to consider incorporating into the design of your assessments.
Real-Life Experiences and Making Connections
- Reflecting on real-life experiences, 糖心传媒 can describe their feelings or share how they might approach a situation differently.
- Relating content with current events (e.g. articles) and highlighting points that stood out to them.
- Expressing their opinions, making predictions, and playing devil鈥檚 advocate to expand on current thought.
Annotated Works
- Asking 糖心传媒 to document their process for an assignment (e.g. research or opinion paper) and citing sources, including details such as page/article numbers.
Creative Submissions
- Giving 糖心传媒 options to submit learning artifacts in various formats such as audio files, multimedia projects, diagrams, etc.
Peer Discussion
- Commenting on thoughts and discussing any misconceptions they may have in a peer discussion.
- Assignments that may ask 糖心传媒 to draw on class conversations
Reflect on the Process of Learning and Critical Thinking
- Ask 糖心传媒 to generate an outline and then critique it.
- Submit a program or line of code then ask 糖心传媒 to evaluate the response
- Give 糖心传媒 an opportunity to reflect on what they learned from a reading or other learning resource and reflect on how they see it enhancing their knowledge
- A bigger assignment is broken down into smaller pieces so 糖心传媒 can submit along the way and receive feedback
Have a suggestion or tip to add? Click the button below to share it with us.
Resources for Teaching
- by Michelle Miller, Chronicle of Higher Education
- by Flower Darby, Chronicle of Higher Education
- by the Office for Faculty Excellence, Montclair State University
- by Derek Bruff
- by Karen L. Smith, Faculty Center for Teaching and Learning
- by Eric Prochaska, Faculty Focus
- by Matthew J. Samuel, Faculty Focus
- by James M. Lang, Chronicle of Higher Education
Resource for Promoting Academic Integrity
Guided by Suzanne Pike, Associate Provost for Academic Affairs and the Administrative Chair of Hofstra's Honor Board, this online workshop reviews the teaching approaches and digital tools you can use to promote academic honesty in your courses.
A Luddite's Guide to ChatGPT
Recording of the event from Wednesday, February 22, 2023 featuring panelists Chris Eliot, Associate Professor of Philosophy, Vimala Pasupathi, Associate Professor of English, and Krishnan Pillaipakkamnatt, Professor of Computer Science.
A Guide to AI Chatbots: A Panel Discussion for Students
Recording of the event from Wednesday, April 26, 2023 featuring panelists Joseph Bartolotta, Associate Professor, Writing Studies and Composition, Russel Chun, Associate Profssor, Journalism, Media Studies, & Public Relations, Lincoln Anniballi, Student Government Association, Political Science Major, and Lila Campbell, Student Government Association, Psychology Major.