Tag: Career

  • The Hidden Curriculum of Student Conduct Proceedings

    The Hidden Curriculum of Student Conduct Proceedings

    For first-generation students, the hidden curriculum—the unstated norms, policies and expectations students need to know in higher education—can be a barrier to participating in high-impact practices, leaving them in the dark about how to thrive in college.

    But new research aims to identify the lesser-known policies that disadvantage first-generation students and to make them more accessible. During a panel presentation at NASPA’s Student Success in Higher Education conference in June, Kristin Ridge, associate dean of students and community standards at the University of Rhode Island, discussed her doctoral research on first-generation students and how they interact with the student handbook and conduct spaces on campus.

    What’s the need: First-generation students make up 54 percent of all undergraduates in the U.S., or about 8.2 million students. But only one in four first-generation students graduates with a college degree, compared to nearly 60 percent of continuing-generation students.

    First-generation students are often diverse in their racial and ethnic backgrounds and come with a variety of strengths, which academic Tara Yosso describes as the cultural wealth model. But in some areas, including higher ed’s bureaucratic processes, first-gen students can lack family support and guidance to navigate certain situations, Ridge said. Her personal experience as a first-generation learner and a conduct officer pushed her to research the issue.

    “It really came to a head when I was dealing with two students who had a similar circumstance, and I felt like one had a better grasp of what was going on than the other one, and that was something that didn’t sit right with me,” Ridge said. “I felt like the behavior should be what I am addressing and what the students are learning from, not their previous family of origin or lived experience.”

    Conduct systems are complicated because they require a fluency to navigate the bureaucracy, Ridge said. Student handbooks are often written like legal documents, but the goal of disciplinary proceedings is for students to learn from their behavior. “If a student doesn’t understand the process or the process isn’t accessible to them, there are very real consequences that can interrupt their educational journey,” she added.

    Some states require conduct sanctions to be placed on a student’s transcript or a dean’s report for transfer application. These sanctions can result in debt, stranded credits or underemployment if students are unable to transfer or earn a degree.

    “Sometimes [continuing-generation] students who have parents or supporters can better understand what the implications of a sanction would be,” Ridge says. “Students who don’t have that extra informed support to lean on may unwittingly end up with a sanction that has more long-term impact than they realize.”

    First-generation students may also experience survivor’s or breakaway guilt for having made it to college, which can result in them being less likely to turn to their families for help if they break the student code of conduct or fear they will be expelled for their actions, Ridge said.

    Therefore, colleges and universities should seek to create environments that ensure all students are aware of conduct procedures, the content of the student handbook and how to receive support and advocacy from both the institution and their communities, Ridge said.

    Creating solutions: Some key questions conduct staff members can ask themselves, Ridge said, include:

    • Is the handbook easy to access, or is it hidden behind a login or pass code? If students or their family members or supporters have to navigate additional steps to read the student handbook, it limits transparency and opportunities for support.
    • Is content available in plain English or as an FAQ page? While institutions must outline some expectations in specific language for legal reasons, ensuring all students understand the processes increases transparency. “I like to say I want [students] to learn from the process, not feel like the process happened to them,” Ridge said.
    • Is the handbook available in other languages? Depending on the student population, offering the handbook in additional languages can address equity concerns about which families can support their students. Hispanic-serving institutions, for example, should offer the handbook in Spanish, Ridge said.
    • Who is advocating for students’ rights in conduct conversations? Some institutions offer students a conduct adviser, which Ridge says should be an opt-in rather than opt-out policy.
    • Is conduct addressed early in the student experience? Conduct is not a fun office; “no one’s going to put us on a parade float,” Ridge joked. That’s why it’s vital to ensure that students receive relevant information when they transition into the institution, such as during orientation. “My goal is for them to feel that they are holding accountability for their choices, that they understand and learn from the sanctions or the consequences, but I don’t want them to be stressed about the process,” Ridge said. Partnering with campus offices, such as TRIO or Disability Services, can also ensure all students are aware of conduct staff and the office is seen less as punitive.

    If your student success program has a unique feature or twist, we’d like to know about it. Click here to submit.

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  • Essay on Faculty Engagement and Web Accessibility (opinion)

    Essay on Faculty Engagement and Web Accessibility (opinion)

    Inaccessible PDFs are a stubborn problem. How can we marshal the energy within our institutions to make digital course materials more accessible—one PDF, one class, one instructor at a time?

    Like many public higher education institutions, William & Mary is working to come into compliance with the Web Content Accessibility Guidelines by April 2026. These guidelines aim to ensure digital content is accessible for people who rely on screen readers and require that content be machine-readable.

    Amid a flurry of other broad institutional efforts to comply with the federal deadline, my colleague—coordinator of instruction for libraries Liz Bellamy—and I agreed to lead a series of workshops designed to help instructors improve the accessibility of their digital course materials. We’ve learned a lot along the way that we hope can be instructive to other institutions engaged in this important work.

    What We’ve Tried

    Our first big hurdle wasn’t technical—it was cultural, structural and organizational. At the same time various groups across campus were addressing digital accessibility, William & Mary had just moved our learning management system from Blackboard Learn to Blackboard Ultra, we were beginning the rollout of new campuswide enterprise software for several major institutional areas, the institution achieved R-1 status and everyone had so many questions about generative AI. Put plainly, instructors were overwhelmed, and inaccessible PDFs were only one of many competing priorities vying for their attention.

    To tackle the issue, a group of institutional leaders launched the “Strive for 85” campaign, encouraging instructors to raise their scores in Blackboard Ally, which provides automated feedback to instructors on the accessibility of their course materials, to 85 percent or higher. The idea was simple—make most course content accessible, starting with the most common problem: PDFs that are not machine-readable.

    We kicked things off at our August 2024 “Ready, Set, Teach!” event, offering workshops and consultations. Instructors learned how to find and use their Ally reports, scan and convert PDFs, and apply practical strategies to improve digital content accessibility. In the year that followed, we tried everything we could think of to keep the momentum going and move the needle on our institutional Ally score above the baseline. Despite our best efforts, some approaches fell flat:

    • Let’s try online workshops! Low engagement.
    • What about in-person sessions? Low attendance.
    • But what if we feed them lunch? Low attendance, now with a fridge full of leftovers.
    • OK, what if we reach out to department chairs and ask to speak in their department meetings? It turns out department meeting agendas are already pretty full; response rates were … low (n = 1).

    The truth is, instructors are busy. Accessibility often feels like one more thing on an already full plate. So far, our greatest success stories have come from one-on-one conversations and by identifying departmental champions—instructors who will model and advocate for accessible practices with discipline-specific solutions. (Consider the linguistics professor seeking an accurate 3-D model of the larynx collaborating with a health sciences colleague, who provided access to an interactive model from an online medical textbook—enhancing accessibility for students learning about speech production.)

    But these approaches require time and people power we don’t always have. Despite the challenges we’ve faced with scaling our efforts, when success happens, it can feel a little magical, like the time at the end of one of our highly attended workshops (n = 2) when a previously skeptical instructor reflected, “So, it sounds like accessibility is about more than students with disabilities. This can also help my other students.”

    What We’ve Learned

    Two ingredients seem essential:

    1. Activation energy: Instructors need a compelling reason to act, but they also need a small step to get started; otherwise, the work can feel overwhelming.

    Sometimes this comes in the form of an individual student disclosing their need for accessible content. But often, college students (especially first year or first generation) don’t disclose disabilities or feel empowered to advocate for themselves. For some instructors, seeing their score in Ally is enough of a motivation—they’re high achievers, and they don’t want a “low grade” on anything linked to their name. More often, though, we’ve seen instructors engage in this work because a colleague or department chair tells them they need to. Leveraging positive peer pressure, coupled with quick practical solutions to improve accessibility, seems to be an effective approach.

    1. Point-of-need support: Help must be timely, relevant and easy to access.

    When instructors feel overwhelmed by the mountain of accessibility recommendations in their Ally reports, they are often hesitant to even get started. We’ve found that personal conversations about student engagement and course content or design often provide an opening to talk about accessibility. And once the door is open, instructors are often very receptive to hearing about a few small changes they can make to improve the accessibility of their course content.

    Where Things Stand

    Now for the reality check. So far, our institutional Ally score has been fairly stagnant; we haven’t reached the 85 percent goal we set for ourselves. And even for seasoned educational developers, it can be discouraging to see so little change after so much effort. But new tools offer hope. Ally recently announced planned updates to allow professors to remediate previously inaccessible PDFs directly in Blackboard without having to navigate to another platform. If reliable, this could make remediation more manageable, providing a solution at the point of need and lowering the activation energy required to solve the problem.

    We’re also considering:

    • Focus groups to better understand what motivates instructors to engage in this work.
    • Exploring the effectiveness of pop-up notifications that appear with accessibility tips and reminders when instructors log in to Blackboard to raise awareness and make the most of point-of-need supports.
    • Defining “reasonable measures” for compliance, especially for disciplines with unique content needs (e.g., organic chemistry, modern languages and linguistics).

    Leading With Empathy

    One unintended consequence we’ve seen: Some instructors are choosing to stop uploading digital content altogether. Faced with the complexity of digital accessibility requirements, they’re opting out rather than adapting. Although this could help our institutional compliance score, it’s often a net loss for students and for learning, so we want to find a path forward that doesn’t force instructors to make this kind of choice.

    Accessibility is about equity, but it’s also about empathy. As we move toward 2026, we need to support—not scare—instructors into compliance. Every step we make toward increased accessibility helps our students. Every instructor champion working with their peers to find context-specific solutions helps further our institutional goals. Progress over perfection might be the only sustainable path forward.

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  • The Quick Convo All Writing Teams Should Have (opinion)

    The Quick Convo All Writing Teams Should Have (opinion)

    Scenario 1: You’re part of a cross-disciplinary group of faculty members working on the new general education requirement. By the end of the semester, your group has to produce a report for your institution’s administration. As you start to generate content, one member’s primary contributions focus on editing for style and mechanics, while the other members are focused on coming to an agreement on the content and recommendations.

    Scenario 2: When you’re at the stage of drafting content for a grant, one member of a writing team uses strikethrough to delete a large chunk of text, with no annotation or explanation for the decision. The writing stops as individual participants angrily back channel.

    Scenario 3: A team of colleagues decides to draft a vision statement for their unit on campus. They come to the process assuming that everyone has a shared idea about the vision and mission of their department. But when they each contribute a section to the draft, it becomes clear that they are not, in fact, on the same page about how they imagine the future of their unit’s work.

    In the best case scenarios, we choose people to write with. People whom we trust, who we know will pull their weight and might even be fun to work with. However, many situations are thrust upon us rather than carefully selected. We have to complete a report, write an important email, articulate a new policy, compose and submit a grant proposal, author a shared memo, etc., with a bunch of folks we would likely not have chosen on our own.

    Further, teams of employees tasked with writing are rarely selected because of their ability to write well with others, and many don’t have the language to talk through their preferred composing practices. Across professional writing and within higher education, the inability to work collaboratively on a writing product is the cause of endless strife and inefficiency. How can we learn how to collaborate with people we don’t choose to write with?

    Instead of just jumping into the writing task, we argue for a quick conversation about writing before any team authorship even starts. If time is limited, this conversation doesn’t necessarily need to be more than 15 minutes (though devoting 30 minutes might be more effective) depending on the size of the writing team, but it will save you time—and, likely, frustration—in the long run.

    Drawing from knowledge in our discipline—writing studies—we offer the following strategies for a guided conversation before starting any joint writing project. The quick convo should serve to surface assumptions about each member’s beliefs about writing, articulate the project’s goal and genre, align expectations, and plan the logistics.

    Shouldn’t We Just Use AI for This Kind of Writing?

    As generative AI tools increasingly become integrated into the writing process, or even supplant parts of it, why should people write at all? Especially, why should we write together when people can be so troublesome?

    Because writing is thinking. Certainly, the final writing product matters—a lot—but the reason getting to the product can be so hard is that writing requires critical thinking around project alignment. Asking AI to do the writing skips the hard planning, thinking and drafting work that will make the action/project/product that the writing addresses more successful.

    Further, we do more than just complete a product/document when we write (either alone or together)—we surface shared assumptions, we come together through conversation and we build relationships. A final written product that has a real audience and purpose can be a powerful way to build community, and not just in the sense that it might make writers feel good. An engaged community is important, not just for faculty and staff happiness, but for productivity, for effective project completion and for long-term institutional stability.

    Set the Relational Vibe

    To get the conversation started, talk to each other: Do real introductions in which participants talk about how they write and what works for them. Talk to yourself: Do a personal gut check, acknowledging any feelings/biases about group members, and commit to being aware of how these personal relationships/feelings might influence how you perceive and accept their contributions. Ideas about authorship, ownership and credit, including emotional investments in one’s own words, are all factors in how people approach writing with others.

    Articulate the Project Purpose and Genre

    Get on the same page about what the writing should do (purpose) and what form it should take (genre). Often the initial purpose of a writing project is that you’ve been assigned to a task—students may find it funny that so much faculty and staff writing at the university is essentially homework! Just like our students, we have to go beyond the bare minimum of meeting a requirement to find out why that writing product matters, what it responds to and what we want it to accomplish. To help the group come to agreement about form and writing conventions, find some effective examples of the type of project you’re trying to write and talk through what you like about each one.

    Align Your Approach

    Work to establish a sense of shared authorship—a “we” approach to the work. This is not easy, but it’s important to the success of the product and for the sake of your sanity. Confront style differences and try to come to agreement about not making changes to each other’s writing that don’t necessarily improve the content. There’s always that one person who wants to add “nevertheless” for every transition or write “next” instead of “then”—make peace with not being too picky. Or, agree to let AI come in at the end and talk about the proofreading recommendations from the nonperson writer.

    This raises another question: With people increasingly integrating ChatGPT and its ilk into their processes (and Word/Google documents offering AI-assisted authorship tools), how comfortable is each member of the writing team with integrating AI-generated text into a final product?

    Where will collaboration occur? In person, online? Synchronously or asynchronously? In a Google doc, on Zoom, in the office, in a coffee shop? Technologies and timing both influence process, and writers might have different ideas about how and when to write (ideas that might vary based on the tools that your team is going to use).

    When will collaboration occur? Set deadlines and agree to stick with them. Be transparent about expectations from and for each member.

    How will collaboration occur? In smaller groups/pairs, all together, or completely individually? How will issues be discussed and resolved?

    Finally, Some Recommendations on What Not to Do

    Don’t:

    • Just divvy up the jobs and call it a day. This will often result in a disconnected, confusing and lower-quality final product.
    • Take on everything because you’re the only one who can do it. This is almost never true and is a missed opportunity to build capacity among colleagues. Developing new skills is an investment.
    • Overextend yourself and then resent your colleagues. This is a surefire path to burnout.
    • Sit back and let other folks take over. Don’t be that person.

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  • AI, Irreality and the Liberal Educational Project (opinion)

    AI, Irreality and the Liberal Educational Project (opinion)

    I work at Marquette University. As a Roman Catholic, Jesuit university, we’re called to be an academic community that, as Pope John Paul II wrote, “scrutinize[s] reality with the methods proper to each academic discipline.” That’s a tall order, and I remain in the academy, for all its problems, because I find that job description to be the best one on offer, particularly as we have the honor of practicing this scrutinizing along with ever-renewing groups of students.

    This bedrock assumption of what a university is continues to give me hope for the liberal educational project despite the ongoing neoliberalization of higher education and some administrators’ and educators’ willingness to either look the other way regarding or uncritically celebrate the generative software (commonly referred to as “generative artificial intelligence”) explosion over the last two years.

    In the time since my last essay in Inside Higher Ed, and as Marquette’s director of academic integrity, I’ve had plenty of time to think about this and to observe praxis. In contrast to the earlier essay, which was more philosophical, let’s get more practical here about how access to generative software is impacting higher education and our students and what we might do differently.

    At the academic integrity office, we recently had a case in which a student “found an academic article” by prompting ChatGPT to find one for them. The chat bot obeyed, as mechanisms do, and generated a couple pages of text with a title. This was not from any actual example of academic writing but instead was a statistically probable string of text having no basis in the real world of knowledge and experience. The student made a short summary of that text and submitted it. They were, in the end, not found in violation of Marquette’s honor code, since what they submitted was not plagiarized. It was a complex situation to analyze and interpret, done by thoughtful people who care about the integrity of our academic community: The system works.

    In some ways, though, such activity is more concerning than plagiarism, for, at least when students plagiarize, they tend to know the ways they are contravening social and professional codes of conduct—the formalizations of our principles of working together honestly. In this case, the student didn’t see the difference between a peer-reviewed essay published by an academic journal and a string of probabilistically generated text in a chat bot’s dialogue box. To not see the difference between these two things—or to not care about that difference—is more disconcerting and concerning to me than straightforward breaches of an honor code, however harmful and sad such breaches are.

    I already hear folks saying: “That’s why we need AI literacy!” We do need to educate our students (and our colleagues) on what generative software is and is not. But that’s not enough. Because one also needs to want to understand and, as is central to the Ignatian Pedagogical Paradigm that we draw upon at Marquette, one must understand in context.

    Another case this spring term involved a student whom I had spent several months last fall teaching in a writing course that took “critical AI” as its subject matter. Yet this spring term the student still used a chat bot to “find a quote in a YouTube video” for an assignment and then commented briefly on that quote. The problem was that the quote used in the assignment does not appear in the selected video. It was a simulacrum of a quote; it was a string of probabilistically generated text, which is all generative software can produce. It did not accurately reflect reality, and the student did not cite the chat bot they’d copied and pasted from, so they were found in violation of the honor code.

    Another student last term in the Critical AI class prompted Microsoft Copilot to give them quotations from an essay, which it mechanically and probabilistically did. They proceeded to base their three-page argument on these quotations, none of which said anything like what the author in question actually said (not even the same topic); their argument was based in irreality. We cannot scrutinize reality together if we cannot see reality. And many of our students (and colleagues) are, at least at times, not seeing reality right now. They’re seeing probabilistic text as “good enough” as, or conflated with, reality.

    Let me point more precisely to the problem I’m trying to put my finger on. The student who had a chat bot “find” a quote from a video sent an email to me, which I take to be completely in earnest and much of which I appreciated. They ended the email by letting me know that they still think that “AI” is a really powerful and helpful tool, especially as it “continues to improve.” The cognitive dissonance between the situation and the student’s assertion took me aback.

    Again: the problem with the “We just need AI literacy” argument. People tend not to learn what they do not want to learn. If our students (and people generally) do not particularly want to do work, and they have been conditioned by the use of computing and their society’s habits to see computing as an intrinsic good, “AI” must be a powerful and helpful tool. It must be able to do all the things that all the rich and powerful people say it does. It must not need discipline or critical acumen to employ, because it will “supercharge” your productivity or give you “10x efficiency” (whatever that actually means). And if that’s the case, all these educators telling you not to offload your cognition must be behind the curve, or reactionaries. At the moment, we can teach at least some people all about “AI literacy” and it will not matter, because such knowledge refuses to jibe with the mythology concerning digital technology so pervasive in our society right now.

    If we still believe in the value of humanistic, liberal education, we cannot be quiet about these larger social systems and problems that shape our pupils, our selves and our institutions. We cannot be quiet about these limits of vision and questioning. Because not only do universities exist for the scrutinizing of reality with the various methods of the disciplines as noted at the outset of this essay, but liberal education also assumes a view of the human person that does not see education as instrumental but as formative.

    The long tradition of liberal education, for all its complicity in social stratification down the centuries, assumes that our highest calling is not to make money, to live in comfort, to be entertained. (All three are all right in their place, though we must be aware of how our moneymaking, comfort and entertainment derive from the exploitation of the most vulnerable humans and the other creatures with whom we share the earth, and how they impact our own spiritual health.)

    We are called to growth and wisdom, to caring for the common good of the societies in which we live—which at this juncture certainly involves caring for our common home, the Earth, and the other creatures living with us on it. As Antiqua et nova, the note released from the Vatican’s Dicastery for Culture and Education earlier this year (cited commendingly by secular ed-tech critics like Audrey Watters) reiterates, education plays its role in this by contributing “to the person’s holistic formation in its various aspects (intellectual, cultural, spiritual, etc.) … in keeping with the nature and dignity of the human person.”

    These objectives of education are not being served by students using generative software to satisfy their instructors’ prompts. And no amount of “literacy” is going to ameliorate the situation on its own. People have to want to change, or to see through the neoliberal, machine-obsessed myth, for literacy to matter.

    I do believe that the students I’ve referred to are generally striving for the good as they know how. On a practical level, I am confident they’ll go on to lead modestly successful lives as our society defines that term with regard to material well-being. I assume their motivation is not to cause harm or dupe their instructors; they’re taking part in “hustle” culture, “doing school” and possibly overwhelmed by all their commitments. Even if all this is indeed the case, liberal education calls us to more, and it’s the role of instructors and administrators to invite our students into that larger vision again and again.

    If we refuse to give up on humanistic, liberal education, then what do we do? The answer is becoming clearer by the day, with plenty of folks all over the internet weighing in, though it is one many of us do not really want to hear. Because at least one major part of the answer is that we need to make an education genuinely oriented toward our students. A human-scale education, not an industrial-scale education (let’s recall over and over that computers are industrial technology). The grand irony of the generative software moment for education in neoliberal, late-capitalist society is that it is revealing so many of the limits we’ve been putting on education in the first place.

    If we can’t “AI literacy” our educational problems away, we have to change our pedagogy. We have to change the ways we interact with our students inside the classroom and out: to cultivate personal relationships with them whenever possible, to model the intellectual life as something that is indeed lived out with the whole person in a many-partied dialogue stretching over millennia, decidedly not as the mere ability to move information around. This is not a time for dismay or defeat but an incitement to do the experimenting, questioning, joyful intellectual work many of us have likely wanted to do all along but have not had a reason to go off script for.

    This probably means getting creative. Part of getting creative in our day probably means de-computing (as Dan McQuillan at the University of London labels it). To de-compute is to ask ourselves—given our ambient maximalist computing habits of the last couple decades—what is of value in this situation? What is important here? And then: Does a computer add value to this that it is not detracting from in some other way? Computers may help educators collect assignments neatly and read them clearly, but if that convenience is outweighed by constantly having to wonder if a student has simply copied and pasted or patch-written text with generative software, is the value of the convenience worth the problems?

    Likewise, getting creative in our day probably means looking at the forms of our assessments. If the highly structured student essay makes it easier for instructors to assess because of its regularity and predictability, yet that very regularity and predictability make it a form that chat bots can produce fairly readily, well: 1) the value for assessing may not be worth the problems of teeing up chat bot–ifiable assignments and 2) maybe that wasn’t the best form for inviting genuinely insightful and exciting intellectual engagement with our disciplines’ materials in the first place.

    I’ve experimented with research journals rather than papers, with oral exams as structured conversations, with essays that focus intently on one detail of a text and do not need introductions and conclusions and that privilege the student’s own voice, and other in-person, handmade, leaving-the-classroom kinds of assessments over the last academic year. Not everything succeeded the way I wanted, but it was a lively, interactive year. A convivial year. A year in which mostly I did not have to worry about whether students were automating their educations.

    We have a chance as educators to rethink everything in light of what we want for our societies and for our students; let’s not miss it because it’s hard to redesign assignments and courses. (And it is hard.) Let’s experiment, for our own sakes and for our students’ sakes. Let’s experiment for the sakes of our institutions that, though they are often scoffed at in our popular discourse, I hope we believe in as vibrant communities in which we have the immense privilege of scrutinizing reality together.

    Jacob Riyeff is a teaching associate professor and director of academic integrity at Marquette University.

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  • N.C. Gov. Vetoes Bills Targeting ‘DEI,’ ‘Divisive Concepts’

    N.C. Gov. Vetoes Bills Targeting ‘DEI,’ ‘Divisive Concepts’

    North Carolina’s Democratic governor has vetoed two bills the Republican-led General Assembly passed targeting what lawmakers dubbed “diversity, equity and inclusion”; “discriminatory practices”; and “divisive concepts” in public higher education.

    Senate Bill 558 would have banned institutions from having offices “promoting discriminatory practices or divisive concepts” or focused on DEI. The bill defined “discriminatory practices” as “treating an individual differently [based on their protected federal law classification] solely to advantage or disadvantage that individual as compared to other individuals or groups.”

    SB 558’s list of restricted divisive concepts mirrored the lists that Republicans have inserted into laws in other states, including the idea that “a meritocracy is inherently racist or sexist” or that “the rule of law does not exist.” The legislation would have prohibited colleges and universities from endorsing these concepts.

    The bill would have also banned institutions from establishing processes “for reporting or investigating offensive or unwanted speech that is protected by the First Amendment, including satire or speech labeled as microaggression.”

    In his veto message Thursday, Gov. Josh Stein wrote, “Diversity is our strength. We should not whitewash history, police dorm room conversations, or ban books. Rather than fearing differing viewpoints and cracking down on free speech, we should ensure our students learn from diverse perspectives and form their own opinions.”

    Stein also vetoed House Bill 171, which would have broadly banned DEI from state government. It defined DEI in multiple ways, including the promotion of “differential treatment of or providing special benefits to individuals on the basis of race, sex, color, ethnicity, nationality, country of origin, or sexual orientation.”

    “House Bill 171 is riddled with vague definitions yet imposes extreme penalties for unknowable violations,” Stein wrote in his HB 171 veto message. NC Newsline reported that lawmakers might still override the vetoes.

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  • On the Sensibility of Cognitive Outsourcing (opinion)

    On the Sensibility of Cognitive Outsourcing (opinion)

    I am deeply worried about my vacuuming skills. I’ve always enjoyed vacuuming, especially with the vacuum cleaner I use. It has a clear dustbin, and there’s something cathartic about running it over the carpet in the upstairs hallway and seeing all the dust and debris it collects. I’m worried, however, because I keep outsourcing my downstairs vacuuming to the robot vacuum cleaner my wife and I bought a while back. With three kids and three dogs in the house, our family room sees a lot of foot traffic, and I save a lot of time by letting the robot clean up. What am I losing by relying on my robot vacuum to keep my house clean?

    Not much, of course, and I’m not actually worried about losing my vacuuming skills. Vacuuming the family room isn’t a task that means much to me, and I’m happy to let the robot handle it. Doing so frees up my time for other tasks, preferably bird-watching out the kitchen window, but more often doing the dishes, a chore for which I don’t have a robot to help me. It’s entirely reasonable for me to offload a task I don’t care much about to the machines when the machines are right there waiting to do the work for me.

    That was my response to a new high-profile study from a MIT Media Lab team led by Nataliya Kosmyna. Their preprint, “Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Task,” details their experiment. The team enlisted 54 adult participants to write short essays using SAT prompts over multiple sessions. A third of the participants were given access to ChatGPT to help with their essay writing, a third had access to any website they could reach through a Google search engine but were prohibited from using ChatGPT or other large language models and a third had no outside aids (the “brain-only” group). The researchers not only scored the quality of the participants’ essays, but they also used electroencephalography to record participants’ brain activity during these writing tasks.

    The MIT team found that “brain connectivity systematically scaled down with the amount of external support.” While the brain-only group “exhibited the strongest, widest‑ranging [neural] networks,” AI assistance in the experiment “elicited the weakest overall coupling.” Moreover, the ChatGPT users were increasingly less engaged in the writing process over the multiple sessions, often just copying and pasting from the AI chat bot by the end of the experiment. They also had a harder time quoting anything from the essay they had just submitted compared to the brain-only group.

    This study has inspired some dramatic headlines: “ChatGPT May Be Eroding Critical Thinking Skills” and “Study: Using AI Could Cost You Brainpower” and “Your Reliance on ChatGPT Might Be Really Bad for Your Brain.” Savvy news readers will key into the qualifiers in those headlines (“may,” “could,” “might”) instead of the scarier words, and the authors of the study have made an effort to prevent journalists and commentators from overplaying their results. From the study’s FAQ: “Is it safe to say that LLMs are, in essence, making us ‘dumber’? No!” As is usually the case in the AI-and-learning discourse, we need to slow our roll and look beyond the hyperbole to see what this new study does and doesn’t actually say.

    I should state now for the record that I am not a neuroscientist. I can’t weigh in with any authority on the EEG analysis in this study, although others with expertise in this area have done so and have expressed concerns about the authors’ interpretation of EEG data. I do, however, know a thing or two about teaching and learning in higher education, having spent my career at university centers for teaching and learning helping faculty and other instructors across the disciplines explore and adopt evidence-based teaching practices. And it’s the teaching-and-learning context in the MIT study that caught my eye.

    Consider the task that participants in this study, all students or staff at Boston-area universities, were given. They were presented with three SAT essay prompts and asked to select one. They were then given 20 minutes to write an essay in response to their chosen prompt, while wearing an EEG helmet of some kind. Each subject participated in a session like this three times over the course of a few months. Should we be surprised that the participants who had access to ChatGPT increasingly outsourced their writing to the AI chat bot? And that, in doing so, they were less and less engaged in the writing process?

    I think the takeaway from this study is that if you give adults an entirely inauthentic task and access to ChatGPT, they’ll let the robot do the work and save their energy for something else. It’s a reasonable and perhaps cognitively efficient thing to do. Just like I let my robot vacuum cleaner tidy up my family room while I do the dishes or look for an eastern wood pewee in my backyard.

    Sure, writing an SAT essay is a cognitively complex task, and it is perhaps an important skill for a certain cohort of high school students. But what this study shows is what generative AI has been showing higher ed since ChatGPT launched in 2022: When we ask students to do things that are neither interesting nor relevant to their personal or professional lives, they look for shortcuts.

    John Warner, an Inside Higher Ed contributor and author of More Than Words: How to Think About Writing in the Age of AI (Basic Books), wrote about this notion in his very first post about ChatGPT in December 2022. He noted concerns that ChatGPT would lead to the end of high school English, and then asked, “What does it say about what we ask students to do in school that we assume they will do whatever they can to avoid it?”

    What’s surprising to me about the new MIT study is that we are more than two years into the ChatGPT era and we’re still trying to assess the impact of generative AI on learning by studying how people respond to boring essay assignments. Why not explore how students use AI during more authentic learning tasks? Like law students drafting contracts and client memos or composition students designing multimodal projects or communications students attempting impossible persuasive tasks? We know that more authentic assignments motivate deeper engagement and learning, so why not turn students loose on those assignments and then see what impact AI use might have?

    There’s another, more subtle issue with the discourse around generative AI in learning that we can see in this study. In the “Limitations and Future Work” section of the preprint, the authors write, “We did not divide our essay writing task into subtasks like idea generation, writing, and so on.” Writing an essay is a more complicated cognitive process than vacuuming my family room, but critiques of the use of AI in writing are often focused on outsourcing the entire writing process to a chat bot. That seems to be what the participants did in this study, and it is perhaps a natural use of AI when given an uninteresting task.

    However, when a task is interesting and relevant, we’re not likely to hand it off entirely to ChatGPT. Savvy AI users might get a little AI help with parts of the task, like generating examples or imagining different audiences or tightening our prose. AI can’t do all the things that a trained human editor can, but, as writing instructor (and human editor) Heidi Nobles has argued, AI can be a useful substitute when a human editor isn’t readily available. It’s a stretch to say that my robot vacuum cleaner and I collaborate to keep the house tidy, but it’s reasonable to think that someone invested in a complex activity like writing might use generative AI as what Ethan Mollick calls a “co-intelligence.”

    If we’re going to better understand generative AI’s impact on learning, something that will be critical for higher education to do to keep its teaching mission relevant, we have to look at the best uses of AI and the best kinds of learning activities. That research is happening, thankfully, but we shouldn’t expect simple answers. After all, learning is more complicated than vacuuming.

    Derek Bruff is associate director of the Center for Teaching Excellence at the University of Virginia.

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  • The ART of Professionalism (opinion)

    The ART of Professionalism (opinion)

    A career is much like a work of art: We select an area to study—a medium, of sorts—in which to pursue an interest or a desire. We start by obtaining foundational knowledge before creating something that contributes to the greater society. Some may benefit from what is produced; others may not. Some will appreciate the output; others will not gain much, if anything, from what is constructed. At the center of the result is the artist themselves. Others along the way lend their own expertise, time and insights toward the outcome. However, it is the unique skills, perspectives, knowledge, choices and behaviors of the artist that determine what is created.

    We are all artists in the making. We have a profession in which we have chosen to engage. As graduate students or postdoctoral scholars, we gain the foundations needed for our chosen discipline. During our time training in higher education, we focus on acquiring technical skills and techniques to contribute to sustaining and expanding our fields of study. We set upon the path to becoming experts through trial and error, discovery and disappointments, gains and losses.

    Like with a work of art, we may start from a place of uncertainty: What can appear to be confounding fragments of a greater idea can coalesce in ways that surprise and satisfy us. We pull together parts and pieces to make something whole or even construct something unique. Yet while we are engaged in this creative and intellectual process, we must also work within defined boundaries. Expectations and ethical standards guide our professional conduct. Understanding these nuances is essential to forming a professional identity.

    Each profession carries its own expectations for behavior, decision-making and accountability. Cambridge defines “professionalism” as “the qualities connected with trained and skilled people.” We can have strong technical skills and deep knowledge in our particular disciplines; however, these alone do not guarantee our level of professionalism when we are actually in the workforce interfacing with supervisors, colleagues, team members and clients.

    While having the foundational skills and understanding may guarantee some success within a career, it is actually the capacity for acquiring and applying what I’ve termed “human-centered competencies” that ensures a greater degree of career fulfillment. Human-centered competencies consist of behaviors that involve a deeper sense of self-awareness. Recognizing and managing our behaviors, and understanding how they may impact those interacting with us, helps us relate to others in ways that forge effective communication, efficacious decision-making, constructive conflict resolution and fruitful work endeavors.

    With this in mind, let’s explore the ART of professionalism through some simple reflective exercises. Think about the questions presented here as intended to encourage an honest reflection on the art we are creating within our own spheres of influence.

    Attitude

    Our attitude is an outward reflection of what we are thinking and how we are feeling. Our attitude toward an assignment, toward a co-worker, toward ourselves or toward life itself is exemplified through our behaviors. Are we respectful and kind to others? Do we smile at who we see in the mirror or constantly chastise ourselves for what we have done (or not done)? Do we tend to jump to negative conclusions regarding those with whom we interact? Do we shake hands, look people in the eye and smile? Or are we downcast, avoidant and possibly even surly? How do we appear? Are we dressed for the part—one in which we want to be respected and taken seriously—or do we look like we would rather be on the couch bingeing on Netflix and eating potato chips?

    Our attitude says a lot about ourselves, and sometimes we do not even have to open our mouths to reveal it. Our internal dialogue can have an impact on our external behaviors, so we need to be aware of our attitude. We can improve it, if needed. We can start by examining how we carry ourselves, as our posture and physical appearance convey nonverbal messages. How we show up is also important to consider. Are we prepared for meetings? Do we speak up with confidence? Do we actively listen to others and appreciate their contributions?

    Our attitude reflects our frame of mind, and we illustrate who we are through our attitude. We also should keep in mind that each of us represents more than ourselves; we reflect the values and credibility of our professional communities.

    Responsibility

    Within the work environment we all have duties, projects or assignments that we manage. Responsibility involves taking ownership of our decisions, our actions and our outcomes. Work involves interdependence; it is rare that we can achieve a goal all on our own. Even artists need people who help them develop their skills, manufacture their tools, market their work and provide venues to exhibit their talent. Within the workplace, we will need others and others will need us.

    Responsibility, therefore, is a crucial competency to have as a professional. Exhibiting responsibility involves both dependability and accountability. Being dependable is a choice, and this can involve time management, setting boundaries and fulfilling obligations; we show up on time and we follow through with what we say we are going to do. Accountability means that we acknowledge when things have not worked out as planned, we recognize our contributions to successes and we face the consequences of our decisions and actions, whether positive or negative. Instead of evaluating situations as win or lose, we can choose to look at outcomes as win or learn. Whether we experience a victory or suffer a defeat, we can always learn from the process. In essence, responsibility is about us doing our part so that we contribute, in a mindful way, to the success and well-being of our colleagues and co-workers.

    Trust

    Trust is by far the most important component of professionalism. Trust looks different in a professional atmosphere than it does in personal life. Trust involves being genuine with others. We want to be able to count on others and to believe that they are being honest with us. The same expectations for honesty should hold when it comes to our own behavior.

    Trust involves being reliable, striving to meet expectations, fulfilling obligations, avoiding gossip and feeling secure in the knowledge that harm will not be done or betrayal will not occur. As professionals, it is imperative that we are trustworthy, as this is a fundamental component of human interactions. Being competent at trust involves building goodwill, being cooperative, displaying integrity, adhering to our values, engaging in sincere interactions and forming strong alliances. Without trust, bonds are broken, relationships are destroyed and organizations fail. We need to examine our words and our actions to evaluate how trustworthy we may seem to others. Being empathetic, reliable and ethical will serve us well as we pursue our passion and contribute our talents to the well-being of those with whom we work, as well as those who benefit from what our teams and organizations produce.

    Conclusion: Building a Body of Work

    As professionals, we are not just building careers; we are creating something much more enduring: a body of work, a reputation, a legacy. The skills we acquire in our chosen disciplines are only part of the equation. Equally important are the attitudes we embody, the responsibilities we accept and the trust we build. It takes time, reflection and endurance to create a great work of art; the same is true for our careers. The process may be unpredictable, but the core elements—our values, our character and our professionalism—will determine how our work is received and remembered.

    So ask yourself: What kind of professional artist do you want to be? What are you creating through your everyday choices? How will your ART— attitude, responsibility and trust—shape your path forward?

    Rhonda Sutton is dean of professional development at North Carolina State University’s Graduate School. She oversees a team that provides programming focused on career readiness, communication skills and teaching for graduate students and postdoctoral scholars. She also facilitates professional development initiatives on leadership, mentoring and wellness. Rhonda is a member of the Graduate Career Consortium, an organization providing an international voice for graduate-level career and professional development leaders.

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  • ‘Big, Beautiful Bill’ Means Big Changes for Higher Ed

    ‘Big, Beautiful Bill’ Means Big Changes for Higher Ed

    Following a flyover by a B-2 bomber, President Donald Trump signed a sweeping policy bill into law Friday, celebrating the Fourth of July and commending congressional Republicans for meeting his self-imposed deadline.

    The legislation, which narrowly passed the House on Thursday, promises to significantly change how colleges operate. Higher education groups and advocates warned that the bill will hurt low-income families while proponents praised the changes as necessary reforms.

    Much of the debate over the bill dubbed the One Big Beautiful Bill Act centered on the nearly $1 trillion in cuts to Medicaid, as well as changes to the tax code that will benefit the very rich. But the 870-page piece of legislation also overhauls higher education policy to cap some student loans, eliminate the Grad PLUS program and use students’ earnings to hold colleges accountable. Taken together, higher education experts say, the legislation would transform the sector, hurt universities’ finances and hinder college access.

    But the legislation doesn’t include some of the proposals that most worried college leaders, such as cuts to the Pell Grant program and a 21 percent endowment tax rate. Wealthy private colleges will still face a higher tax rate on their endowments, up to 8 percent. (The current rate is 1.4 percent.)

    Some higher ed lobbyists commended Republicans for backing off some of the deeper cuts, but they are worried about a number of changes in the bill.

    Eliminating Grad PLUS loans could mean fewer students attend graduate school, which would be a hit to universities’ bottom lines, especially at institutions that rely heavily on graduate programs for tuition revenue. Similarly, capping Parent PLUS loans at $65,000 per student could hurt Black and Latino families, who disproportionately use the loans. The legislation also consolidates repayment plans, giving future borrowers two options. Consumer protection advocates worry the bill will exacerbate the student debt crisis and drive students to private loans.

    The student loan changes take effect July 2026.

    Catch Up on Our Coverage of the Bill

    Lawmakers also agreed to expand the Pell Grant to short-term job-training programs, achieving a long-sought goal for community colleges and other groups. In a last-minute change, the expansion excludes unaccredited providers.

    “While somewhat improved over its original version, [the bill] contains a mix of new taxes and spending cuts that will force even more difficult decisions on chief business officers and further strain revenue that helps make college affordable for students and families,” said Kara Freeman, president of the National Association of College and University Business Officers. “The long-term implications of this legislation for higher education and American innovation are likely to be profound.”

    Over all, the One Big Beautiful Bill Act will add about $3.3 trillion to the national debt over the next 10 years, according to the Congressional Budget Office. Republicans said they had hoped to curb spending and address the growing deficit with the legislation, and some conservatives balked at the price tag. Still, pressure from the president to deliver a legislative victory won out, even as some lawmakers waffled for hours over whether to support the bill. Politico reported that Trump called lawmakers and met with them in person to make his case.

    Republicans lawmakers and Trump administration officials praised the legislation, saying it would lower the cost of college and boost accountability. One of the major changes ties colleges’ access to federal student loans to students’ earnings. Programs that fail to show their graduates earn more than an adult with only a high school diploma could be cut off from loans. One rough analysis found that fewer than half of two-year degree programs would pass the earnings test, but community colleges are less reliant on loans.

    “Overall, the Senate’s ‘do no harm’ proposal would strengthen the higher education system,” wrote Preston Cooper, a senior fellow at the conservative American Enterprise Institute, who conducted the analysis. “But the current political environment presents a once-in-a-generation chance to fix the broken federal role in higher education. Lawmakers shouldn’t miss the opportunity to go further.”

    Another analysis from the Postsecondary Education and Economics Research Center at American University found that programs that would fail the earnings test enroll about 1 percent of students. But the test wouldn’t apply to certificate programs, where one in five students are pursuing a credential that doesn’t provide the necessary earnings boost, according to the PEER Center. Other experts have argued that the accountability plan should’ve taken into account the cost of programs and students’ debt loads.

    Colleges generally preferred the earnings-based accountability plan, which is similar to the Biden administration’s gainful-employment rule, though lobbyists had wanted lawmakers to make some changes. House Republicans had planned to make institutions pay an annual penalty based on students’ unpaid loans, which could’ve cost colleges billions.

    Jason Altmire, president of Career Education Colleges and Universities, the national trade association representing for-profit institutions, congratulated Congress in a statement Thursday for passing the “monumental legislation.”

    He praised the short-term Pell expansion as well as the “no tax on tips” policy, among other provisions. But he’s concerned about parts of the new accountability framework, though “we strongly support the fact that the measure applies equally to all schools in all sectors of higher education, a longtime CECU priority.”

    Altmire and CECU oppose the loan caps and eliminating Grad PLUS loans. “These cuts will negatively impact students and limit access for those who are most in need,” he said in the statement. “These provisions are ill-advised and we hope Congress will revisit them in the future. Overall, we are grateful that our voice was heard and so many of our longtime priorities were included in the final bill. We look forward to working with Congress to make improvements through future legislation.”

    Charles Welch, president of the American Association of State Colleges and Universities, said in a statement that the cuts to Medicaid and other programs will hurt regional public universities, which are typically “the first victim of tightened budgets.”

    “Never has the federal government divested itself of financial responsibility to such an extent, imperiling previously stretched state and local budgets as they seek to cover newly obligated burdens,” Welch said.

    Welch added that colleges in the association must put their “profound disappointment in the reconciliation bill aside” to focus on the appropriations process, which will kick into high gear this month. The appropriations bills in Congress set the spending limits and direct agencies how to dole out federal dollars. The Trump administration has proposed deep cuts to the Education Department’s budget, including zeroing out college-access programs like TRIO.

    “The American Association of State Colleges and Universities urges Congress to reassert its constitutionally endowed authority over government expenditures, eliminating executive overreach and fully funding the programs, grants, and institutions that serve our nation’s postsecondary students,” Welch said.

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  • Scientists Took Support “For Granted” Before Trump

    Scientists Took Support “For Granted” Before Trump

    Devastating cuts to U.S. science under Donald Trump’s presidency have been made possible by a pervasive complacency that scientific achievements will always be celebrated, a leading American Nobel Prize winner has said.

    Frances Arnold, who won the Nobel Prize in Chemistry in 2018 for her work on engineering enzymes, told an audience of young scientists in Germany that the “utter chaos” in U.S. politics of recent months, which has seen billions of dollars removed from scientific research, might be viewed in terms of a wider failure to communicate the value of scientific discovery.

    “Never take for granted that scientific achievement is celebrated—we took it for granted, and for far too long, and we are paying the price,” Arnold told the June 29 opening ceremony of the Lindau Nobel Laureate Meeting, an annual conference that brings together Nobel laureates and early-career researchers.

    “Instead of viewing science as the foundation of prosperity, as an investment in the future, it is being portrayed as a burden on taxpayers,” said Arnold, professor of chemical engineering at the California Institute of Technology.

    The Trump administration has so far canceled at least $10 billion in federal grants on the grounds that they contravene its anti-DEI agenda, but further unprecedented cuts are in the pipeline; under Trump’s so-called Big Beautiful Bill, the National Science Foundation’s budget will be cut by 57 percent, by $5 billion, while the National Institutes of Health will see its support slashed by 40 percent, or $18 billion.

    In an address given on behalf of 35 Nobelists attending the conference on the Swiss–Austrian border, Arnold said that this “concerted attack on the universities will drive many brilliant young scientists to Europe and other places,” adding, “I hope you will make the best use of this opportunity and give them a home.”

    On the need for more effective communication of science’s benefits, Arnold, who chaired former U.S. president Joe Biden’s presidential council on science and technology for four years, said she hoped other nations would “learn the lesson that we are learning the hard way—that it is so important to convey the joy of science, the joy of discovery and the benefits to our friends and neighbors outside the academic laboratory.”

    “They pay the bills but do not necessarily understand the benefits [of science]—it is up to us to explain that better.”

    Arnold’s comments about the likely U.S. brain drain were also picked up by Germany’s science minister, Dorothee Bar, who told the conference that her government would make funds available in its high-tech strategy, due to be launched shortly, to attract international researchers.

    “We are launching the One Thousand Minds Plus scheme to attract minds from across the world, including from the U.S.,” she said on the plans to divert some of the $589 billion technology and infrastructure stimulus plan toward recruiting global talent.

    Appealing directly to disaffected U.S. researchers, Bar said, “You are always welcome here in Germany.”

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  • USF Ditches Search Firm That Helped U of Florida Pick Ono

    USF Ditches Search Firm That Helped U of Florida Pick Ono

    Bryan Bedder/Stringer/Getty Images

    The University of South Florida has dropped SP&A Executive Search as the firm leading its presidential search, The Tampa Bay Times reported Tuesday. The move comes after the Florida Board of Governors rejected the candidate that SP&A had helped the University of Florida pick for its top job: former University of Michigan president Santa Ono, whom the UF board unanimously approved.

    Ono’s rejection came after conservatives mounted a campaign opposing him, citing his past support of diversity, equity and inclusion and his alleged failure to protect Jewish students.

    After that failed hire, Rick Scott, a Republican U.S. senator representing Florida, blamed SP&A, telling Jewish Insider that the firm didn’t sufficiently vet Ono.

    SP&A describes itself on its website as a “boutique woman- and minority-owned executive search firm.” Scott Yenor—a Boise State University political science professor who resigned from the University of West Florida’s Board of Trustees in April after implying that only straight white men should be in political leadership—highlighted that description in an essay he co-wrote, titled “How did a leftist almost become president of the University of Florida?”

    “We can only speculate about how the deck was stacked,” Yenor and Steven DeRose, a UF alum and business executive, wrote. “SP&A colluded with campus stakeholders, especially faculty, when they were retained. Together, they developed the criteria necessary to hire a Santa Ono.”

    They also pointed out that SP&A was leading the USF search. SP&A didn’t respond to Inside Higher Ed’s requests for comment Wednesday.

    USF didn’t provide an interview or answer written questions. In a June 20 statement, USF trustee and presidential search committee chair Mike Griffin said the university was now using the international firm Korn Ferry.

    “We value the expertise of our initial search consultant and thank them for their engagement,” Griffin wrote.

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