By Doug Ward

In a focus group before the pandemic, I heard some heart-wrenching stories from students.

One was from a young, Black woman who felt isolated and lonely. She mostly blamed herself, but the problems went far beyond her. At one point, she said:

Peter Felten explains a family picture he shared at the 2023 Teaching Summit. He uses the picture, which shows his father as a young boy, in his classes as a way to connect with students through family history.

“There’s some small classes that I’m in and like, some of my teachers don’t know my name. I mean, they don’t know my name. And I just, I kind of feel uncomfortable, because it’s like, if there’s some kids gone but I’m in there, I just want them to know I’m here. I don’t know. It’s just the principle that counts me.”

I thought about that young woman as I listed to Peter Felten, the keynote speaker at last week’s Teaching Summit. Felten, a professor of history at Elon University, drew on dozens of interviews he had conducted with students, and connected those to years of research on student success. Again and again, he emphasized the importance of connecting with students and helping students connect with each other. That can be challenging, he said, especially when class sizes are growing. The examples he provided made clear how critical that is, though.

“There’s literally decades and decades of research that says the most important factor in almost any positive student outcome you can think about – learning, retention, graduation rate, well-being, actually things like do they vote after they graduate – the single biggest predictor is the quality of relationships they perceive they have with faculty and peers,” Felten said.

Moving beyond barriers

Felten emphasized that interactions between students and instructors are often brief. It would be impossible for instructors to act as long-term mentors for all their students, but students often need just need reassurance or validation: hearing a greeting from the instructor, having the instructor remember their name, getting meaningful feedback. Quality matters more than quantity, Felten said. The crucial elements are making human connections and helping students feel that they belong.

Creating that interaction isn’t always easy, Felten said. He gave an example of a first-generation student named Oliguria, whose parents had emphasized the importance of independence.

“She said she had so internalized this message from her parents that you have to do college alone, that when she got to college she thought it was cheating to ask questions in class,” Felten said. “That was her word: cheating. It’s cheating to go to the writing center, cheating to go to the tutoring center.”

Instructors need to help students move past those types of beliefs and to see the importance of asking for help, Felten said.

Another challenge is helping students push past impostor syndrome, or doubts about abilities and feelings that someone will say they don’t belong. That is especially prevalent in academia, Felten said. Others around you can seem so poised and so knowledgeable. That can make students feel that they don’t belong in a class, a discipline, or even in college because they have learned to feel that “if you’re struggling, there must be something wrong with you.”

That misconception can make it difficult for students to recover from early stumbles and to appreciate difficulty as an important part of learning.

“I don’t know about your experience,” Felten said. “What I do is hard. But we don’t tell students that, right? They think if it’s hard, there’s something wrong with them.”

Because of that, students hesitate to ask for help and don’t want their instructors to know about their struggles. As one student told Felten, “pride gets in the way of acknowledging that I don’t understand something.”

Small interactions with huge consequences

Getting past that pride can make a huge difference, Felten said. He gave the example of Joshua, a 30-year-old community college student who nearly dropped out because he found calculus especially difficult.

“I suddenly began to have these feelings like, I didn’t belong in this class, that my education, what I was trying to achieve wasn’t possible,” Joshua told Felten. “And my goals were just obscenely further away than I thought they were.”

He spoke to his professor, who told him to go home and read about impostor syndrome. That helped Joshua feel more confident. He sought out a tutor and eventually got an A in the class.

The professor, Felten said, was an adjunct who taught only one semester. Joshua met with him only once, but that meeting had far-reaching effects. Joshua completed his associate’s degree and later graduated from Purdue.

Felten called Joshua’s professor “a mentor of the moment.” That means paying attention to the person right in front of you and being able to give them the right kind of challenge, the right kind of support, the right kind of guidance that they need right then.”

Felten also talked about another student, José, who wanted to become a nurse. José loved life sciences but bristled at a requirement to take a course outside his major. He signed up for a geology class simply because it fit into his schedule, and he vowed to do as little as possible. Ultimately, Felten said, the class ended up being “one of the most powerful classes he had taken.”

José told Felten: “My professor made something as boring as rocks interesting. The passion she had, her subject, was something that she loved.”

José never got to know the professor personally, but the way she conducted the class – interactively and passionately – was transformative, Felten said.

“The most important thing is that this class became a community,” José told Felten. “She made us interact with each other and with the subject. It just came together because of her passion.”

The importance of good feedback

Felten also talked about Nellie, a student who started college just as the pandemic hit. In a writing course, she liked the instructor’s feedback on assignments so much that she later took another class from the same professor, even though she never talked directly to her.

“She would have this little paragraph in the comments saying, you did this super well in your paper. And that little bit of encouragement, even though I’m not face to face with this teacher at all, made a world of difference to me,” Nellie told Felten. “We’ve never met in person or even had a conversation, but she has made a huge positive difference in my education.”

Instructors can easily overlook the impact of something like feedback on written assignments, but Felten said they can be validating. He cited a study from a large Australian university that found that the biggest predictor of undergraduate well-being was the quality of teaching. The authors of the study said students weren’t expecting their instructors to be counselors or therapists or even long-term mentors.

“They’re asking us to do our job well, which is to teach well, to assess clearly and to teach as if learning is an interactive human thing, to connect with each other and with the material,” Felten said.

The importance of community

I’ll go back to the young woman I interviewed a few years ago, and how isolated she felt in her classes and how alone she felt outside classes.

“I think it’s just really interesting,” she said. “I see a lot of different faces every day, but I still feel so isolated. And I know sometimes that’s like my problem. But I do feel like I should know way more people. And I just, I want to know more people.”

Her story was heart-wrenching. She and another student – a white transfer student – talked about getting “vibes” from classmates that pushed them deeper into isolation and made life at the university challenging. Neither had gained a sense of belonging at the university, even though both desperately sought a sense of connection.

In his talk at the Teaching Summit, Felten said the antidote to that was to create community in our classes.

“The most important place for relationships in college is the classroom,” Felten said. “If they don’t happen there, we can’t guarantee they happen for all students.”

He also added later: “If we know that’s true, why don’t we organize our courses, why don’t we organize our curriculum, why don’t we organize our programs, our universities as if that was a central factor in all of the good things that can happen here?”

Why indeed.


Doug Ward is associate director of the Center for Teaching Excellence and an associate professor of journalism and mass communications at the University of Kansas.

By Doug Ward

If you are sitting on the fence, wondering whether to jump into the land of generative AI, take a look at some recent news – and then jump.

  • Three recently released studies say that workers who used generative AI were substantially more productive than those who didn’t. In two of the studies, the quality of work also improved.
  • The consulting company McKinsey said that a third of companies that responded to a recent global survey said they were regularly using generative AI in their operations. Among white-collar professions that McKinsey said would be most affected by generative AI in the coming decade are lawyers and judges, math specialists, teachers, engineers, entertainers and media workers, and business and financial specialists.
  • The textbook publisher Pearson plans to include a chatbot tutor with its Pearson+ platform this fall. A related tool already summarizes videos. The company Chegg is also creating an AI chatbot, according to Yahoo News.
  • New AI-driven education platforms are emerging weekly, all promising to make learning easier. These include: ClaudeScholar (focus on the science that matters), SocratiQ (Take control of your learning), Monic.ai (Your ultimate Learning Copilot), Synthetical (Science, Simplified), Upword (Get your research done 10x faster), Aceflow (The fastest way for students to learn anything), Smartie (Strategic Module Assistant), and Kajabi (Create your course in minutes).

My point in highlighting those is to show how quickly generative AI is spreading. As the educational consultant EAB wrote recently, universities can’t wait until they have a committee-approved strategy. They must act now – even though they don’t have all the answers. The same applies to teaching and learning.

A closer look at the research

Because widespread use of generative AI is so new, research about it is just starting to trickle out. The web consultant Jakob Nielsen said the three AI-related productivity studies I mention above were some of the first that have been done. None of the studies specifically involved colleges and universities, but the productivity gains were highest in the types of activities common to colleges and universities: handling business documents (59% increase in productivity) and coding projects (126% increase).

From “Generative AI and the Future of Work,” McKinsey & Company, 2023

One study, published in Science, found that generative AI reduced the time professionals spent on writing by 40% but also helped workers improve the quality of their writing. The authors suggested that “ChatGPT could entirely replace certain kinds of writers, such as grant writers or marketers, by letting companies directly automate the creation of grant applications and press releases with minimal human oversight.”

In one of two recent McKinsey studies, though, researchers said most companies were in no rush to allow automated use of generative AI. Instead, they are integrating its use into existing work processes. Companies are using chatbots for things like creating drafts of documents, generating hypotheses, and helping experts complete tasks more quickly. McKinsey emphasized that in nearly all cases, an expert oversaw use of generative AI, checking the accuracy of the output.

Nonetheless, by 2030, automation is expected to take over tasks that account for nearly a third of current hours worked, McKinsey said in a separate survey. Jobs most affected will be in office support, customer service, and food service. Workers in those jobs are predominantly women, people of color, and people with less education. However, generative AI is also forcing changes in fields that require a college degree: STEM fields, creative fields, and business and legal professions. People in those fields aren’t likely to lose jobs, McKinsey said, but will instead use AI to supplement what they already do.

“All of this means that automation is about to affect a wider set of work activities involving expertise, interaction with people, and creativity,” McKinsey said in the report.

What does this mean for teaching?

I look at employer reports like this as downstream reminders of what we in education need to help students learn. We still need to emphasize core skills like writing, critical thinking, communication, analytical reasoning, and synthesis, but how we help students gain those skills constantly evolves. In terms of generative AI, that will mean rethinking assignments and working with students on effective ways to use AI tools for learning rather than trying to keep those tools out of classes.

Chart showing which careers will be most affected by AI automation
From “Generative AI and the Future of Work,” McKinsey & Company, 2023

If you aren’t swayed by the direction of businesses, consider what recent graduates say. In a survey released by Cengage, more than half of recent graduates said that the growth of AI had left them feeling unprepared for the job market, and 65% said they wanted to be able to work alongside someone else to learn to use generative AI and other digital platforms. In the same survey, 79% of employers said employees would benefit from learning to use generative AI. (Strangely, 39% of recent graduates said they would rather work with AI or robots than with real people; 24% of employers said the same thing. I have much to say about that, but now isn’t the time.)

Here’s how I interpret all of this: Businesses and industry are quickly integrating generative AI into their work processes. Researchers are finding that generative AI can save time and improve work quality. That will further accelerate business’s integration of AI tools and students’ need to know how to use those tools in nearly any career. Education technology companies are responding by creating a large number of new tools. Many won’t survive, but some will be integrated into existing tools or sold directly to students. If colleges and universities don’t develop their own generative AI tools for teaching and learning, they will have little choice but to adopt vendor tools, which are often specialized and sold through expensive enterprise licenses or through fees paid directly by students.

Clearly, we need to integrate generative AI into our teaching and learning. It’s difficult to know how to do that, though. The CTE website provides some guidance. In general, though, instructors should:

  • Learn how to use generative AI.
  • Help students learn to use AI for learning.
  • Talk with students about appropriate use of AI in classes.
  • Experiment with ways to integrate generative AI into assignments.

Those are broad suggestions. You will find more specifics on the website, but none of us has a perfect formula for how to do this. We need to experiment, share our experiences, and learn from one another along the way. We also need to push for development of university-wide AI tools that are safe and adaptable for learning.

The fence is collapsing. Those who are still sitting have two choices: jump or fall.

AI detection update

OpenAI, the organization behind ChatGPT, has discontinued its artificial intelligence detection tool. In a terse note on its website, OpenAI said that the tool had a “low rate of accuracy” and that the company was “researching more effective provenance techniques for text.”

Meanwhile, Turnitin, the company that makes plagiarism and AI detectors, updated its figures on AI detection. Turnitin said it had evaluated 65 million student papers since April, with 3.3% flagged as having 80% to 100% of content AI-created. That’s down from 3.5% in May. Papers flagged as having 20% or more of content flagged rose slightly, to 10.3%.

I appreciate Turnitin’s willingness to share those results, even though I don’t know what to make of them. As I’ve written previously, AI detectors falsely accuse thousands of students, especially international students, and their results should not be seen as proof of academic misconduct. Turnitin, to its credit, has said as much.

AI detection is difficult, and detectors can be easily fooled. Instead of putting up barriers, we should help students learn to use generative AI ethically.


Doug Ward is the associate director of the Center for Teaching Excellence and an associate professor of journalism and mass communications.

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