We have long touted the discussion board as a way to build community in virtual classrooms: Pose a question in a thread. Two points for a post, one point for a response. These perfunctory interactions are at most an assessment of knowledge, but hardly ever the critical analysis that leads to productive conversation.
And now, with a quick copy and paste to an LLM, students can post and respond with even less effort.
In this post, I’ll give you give ways to implement human authentication to mitigate discussion posts becoming conversations between AI. Then, I'll address some general pedagogical considerations for online discussions.
1. Only Replies
The instructor initiates the discussion with an opening post. Students can only reply to the previous response, simulating a natural conversation. Each reply should conclude with a question or statement that encourages further dialogue.
Optional: Award points based on the engagement generated by each student's post.
Human Aspect: This approach makes it challenging to simply copy and paste responses. Students must carefully consider how their replies will stimulate ongoing discussion.
In our recent lecture on social stratification, we discussed the concept of social mobility. Consider the factors that influence upward social mobility in contemporary society. What role does higher education play in this process? You may only reply to subsequent replies. Try to end each reply with a question or a statement that others can respond to.
2. Source Search
The instructor provides a specific topic from class, and students must find a relevant source that meets given criteria.
Optional: Students can include a quote from their source and explain its connection to the topic.
Human Aspect: While AI tools can find sources, they often struggle with relevancy, accurate quotations, and may even hallucinate information.
Find a peer-reviewed article published in the last two years that discusses the impact of climate change on Michigan's freshwater ecosystems. Your post should include the article's title, authors, publication, and a brief summary of the findings. How do these findings relate to our recent field trip to the Red Cedar River?
3. Multimedia
Students post video or audio files in discussion threads instead of written responses.
Optional: Have students experiment with MSU supported tools like Flip, Mediaspace, or Camtasia.
Human Aspect: This format allows students to present their natural selves, showcasing personality and communication skills that are difficult for AI to replicate.
Create a one minute video response to today’s lecture, or post an audio response to another student’s video.
4. Learning Reflections
Students reflect on their progression through a concept or discuss aspects of the course they find challenging.
Human Aspect: These personal reflections on the learning process are unique to each student's experience and difficult for AI to authentically generate.
As we conclude our unit on stereochemistry, reflect on your learning journey. Discuss concepts you initially struggled with, moments of clarity, and areas where you still have questions. How has your understanding of molecular structure and its importance in organic reactions evolved?
5. AI Critique
The instructor posts an example provided by an LLM and asks students to critique the information.
Optional: Students use AI to critique AI-generated content, and then reflect on the patterns they observe.
Human Aspect: This exercise encourages students to analyze how generated text compares to their own work or the course material in general, fostering conversation about AI's capabilities and limitations.
“All news outlets should transition to fully AI-generated content. AI can produce articles faster and more efficiently than human journalists, covering a wider range of events without bias. This change would allow for 24/7 news coverage while significantly reducing operational costs.”
Analyze the above AI-generated statement about AI in journalism. Identify any biases, oversimplifications, or logical flaws. Then, use an AI tool of your choice to generate a critique of this statement. Compare your analysis with the AI-generated critique. What patterns or differences do you notice?
Why are We Using Discussion Posts Anyway?
At MSU, discussion forums on D2L Brightspace allow students to post and reply. This is an asynchronous discussion; an online bulletin board that simulates the same level of conversation as a Reddit post. But without a clear objective to link the activity, discussion posts just end up being public knowledge checks. Which begs the question, why not just have students submit an assignment?
It is an intimate thing to share our work, and students are more likely to turn to AI if their work is reviewed publicly. Consider then, that discussion posts do not build community, but a classroom community can use discussions to achieve collaboration-based objectives. Some examples of collaboration objectives include:
Practice giving and receiving constructive feedback.
Engage in peer-to-peer learning by responding to classmates' ideas.
Develop interpersonal communication skills through.
Don’t ditch the discussion posts, just align them with a goal that will help students develop skills to engage with others.
How do you run discussions in your class? Comment below or drop me a line at freyesar@msu.edu.
Freyesaur out.
