"Instead of separating AI literacy and data literacy, we see data literacy as a key precursor to AI literacy." -Cora Wigger

Data Literacy as a Precursor to AI Literacy 

As the new school year begins and our weeks are filled with slide edits, planning meetings, and the smell of new notebooks, one theme is dominating the preparation: Artificial Intelligence. I am not an AI expert. I have no tips…

Digital illustration of woman looking at map with robot grid. text reads: "Relying on generative AI information could have bad physical and social ramifications for community-based learning.”

AI Hallucinations Matter for More Than Academic Integrity 

I had to chuckle over this quote in a May New York Times article: “Though they are useful in some situations—like writing term papers, summarizing office documents and generating computer code—their mistakes can cause problems.” I think many of my fellow academics would see…

Two field researchers reviewing data with quote: "Our definition and framework start with the existence of data itself—the ability to identify data as data.”

Defining Data and Data Literacy, Step 1 

When I, along with my CEL Scholar colleague Dr. Cora Wigger, describe our CEL project about data literacy and data justice to colleagues, we’re confronted with the same problem: every academic in every discipline defines “data” differently. As a historian…

Hand pointint at blue light screen that says automation with quote text "as humans delegate tasks to machines, it might be a source of more ethical lapses...”

Generative AI and Professional Ethics 

I am a professor of journalism, and it’s a challenging time to make the case for why journalism still matters. I give my students a couple of reasons: first is the ability to access and make sense of a variety…

Glowing blue pen hovering above notebook. White quote text: "As educators, we need to be re-examining the borders between “learn” and “do” and how we might scaffold both in the age of generative AI.”

Blue Books and In-Class Writing Are Not a Panacea 

In comments sections and replies in both educator spaces and mass media articles, it’s common to see exhortations to simply return to an earlier time where students demonstrated knowledge in class. I myself recall needing to remember to stop by…

Orange brain with AI network and quote text: "...preliminary data suggested that initially relying on LLM help early on affected later performance, even if the LLM use stopped for the later task. That’s a powerful finding.”

When it Comes to AI in Education, Timing May Matter 

I’ve participated in several professional education opportunities this summer related to AI as a tool for higher education, and one of my biggest takeaways is that there is little agreement among faculty.   Even in a tiny academic unit of fewer…

Students can struggle to understand that who collects, who reports, and who disseminates information can all be different. These are questions students must learn to ask of their data, and answering those questions is a skill they must spend time practicing.”

Learning Your Data: Teaching with Data Biographies 

“It’s not ethical to use a dataset without spending time getting a very good understanding of what the data means.”  Heather Kraus When I started teaching an applied statistics class for undergraduates, I resolved to give my students as much…

"Instead of saying ‘it’s biased,’ we want students to be able to explain how something is biased, how we can learn from it, and how to use that knowledge to take steps to keep improving upon our understandings of the world.”

Data Literacy in Engaged Learning: Understanding Bias

Over my career as a student and professor, I (Amanda) have come to learn, with the help of my colleague Dr. Cora Wigger that understanding bias in research is essential to understanding causes and perpetuation of racism. In my first…

This flaw in simulations can create misrepresent cultural dynamics, portraying groups based on leaked bias instead of reality.” with young woman and older German man talking through cup phone.

AI and Learning About Cultures 

  Several of the high-impact practices in higher education require learners to practice stepping out of their cultural comfort zone. For instance, a co-op or internship can require adapting to the culture of a workplace. Undergraduate research means learning to…