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In one of my teaching documents I claim that good professors motivate, prepare, and support their students to produce good work in their courses. I remain deeply committed to this view. But something has been happening over the past several years that has shaken my faith not only in my ability to teach well but in my perception of reality. I’ve started receiving assignments that feel off. I start reading, ready to comment on student work, and run into words, phrases, and ideas that don’t fit. Sometimes it is a peculiar use of language. Other times a paper references information that was not explored in a course and is not common knowledge.Worse, I’ve received uncannily similar assignments from multiple students. Not only is some of the outside information they use wrong in a similar way, the stock phrasing of basic material is identical. I find myself wondering if it’s more likely that multiple students decided to use a word like “tapestry” in their analysis due to some affinity for the term or if something else is afoot.I have begrudgingly accepted that my students are using artificial intelligence (AI) to write their assignments. A Google search for “what percentage of students are using AI?” suggests that at least half of them use it. It is unlikely that my students are an exception.I’ve had several uncomfortable meetings with students about suspected plagiarism using AI. On occasion they admit their work is AI-generated. Other times they acknowledge outside source usage but deny AI. Often they flatly deny anything, even as they struggle to explain the words they claim to have written.What does a good professor do in this situation? Do they give their students the benefit of the doubt? Do they follow the procedures for suspected plagiarism even as these are based on legal principles which often perpetuate social and racial inequality? Is it their fault they were unable to motivate students to do the work themselves? Was their course poorly planned given that it wasn’t AI-proof?Answering these requires addressing two additional questions: (1) Is plagiarizing using generative AI different from the plagiarism of old, where a student might clandestinely copy from an encyclopedia on a typewriter? and (2) Why is this so bad if AI, as administrators and technocrats often remind us, is here to stay?My class, often the only humanities class a student is taking, nurtures skills of reading, writing, and critical thinking that cannot be duplicated by a computer. One can produce passable work with AI. I’ve accepted that. But one cannot create and recognize good work without developing proper skills.I don’t want the sins of some previous students to dictate the way I treat my current and future students. In fact, I don’t want the ways I’ve been mistreated by friends, family, partners, or anyone else to dictate how I interact with new people. But it would be naïve to assume that others won’t ever act similarly. Still, I don’t want to approach student writing suspiciously because students have used AI in the past. I worry that I over-emphasize that AI is unacceptable. Sadly, this has not prevented me from occasionally experiencing the uncanny feeling that something is off in an assignment.Grading has begun to feel like gaslighting. Kate Abramson in On Gaslighting (Princeton University Press, 2024) characterizes gaslighting as a trusted person aiming to make another incapable of reasoning, perceiving, or reacting in ways that would allow them to form appropriate beliefs, perceptions, and emotions. My experience of grading has fundamentally shaken my confidence in my ability to make good judgments about reality – what my students learned, how they write, and if they would have the audacity to submit work that they didn’t write themselves despite my repeated warnings that it was unacceptable.I’ve gone from hoping that my students put effort into their assignments to merely hoping that they wrote it themselves. I now savor the occasional typo, misspelling, sentence fragment, or odd formatting, things that occur in student writing as they develop their skills.Something can be done. All is not lost. I’ve shifted multiple preplanned assignments from short at-home writing exercises to in-class assignments. For text papers, I require students to submit an annotated primary source reading.We are all teaching in a new reality, one that causes discomfort for many. Good teaching may look different going forward even if it falls short of our ideal. Nonetheless, the principles of good teaching remain the same even as the experience of teaching changes.

I am writing this blog post with my 8-year-old daughter’s voice still ringing in my ears: “Yes—it’s difficult, but it’s fun.” As a student, she said it during a violin lesson after wrestling with a new bow technique. Anyone who has practiced an instrument may know the scene—scales repeated until fingers ache, a teacher correcting the same motion for the tenth time. We often tell our children (and our students as well), “Practice makes perfect,” but the road to perfection is slow, repetitive, and occasionally tedious.My daughter’s shy voice—“difficult, but fun”—captures what philosopher Alasdair MacIntyre calls an internal good: a genuine joy experienced only inside a repetitive practice. External goods certainly loom large in my daughter’s world—a coveted seat in the district orchestra, a résumé line that thrills her parents. For her, slow and repetitive practice is “difficult”: she may desire a “shortcut” to finish practice quickly and play with her friends. And yet, in the middle of that drudgery, she found a deeper joy: the quiet thrill of coaxing one clear note from stubborn strings. Here, (slow) formation, not (fast) efficiency aimed at external validation, is the point.Technologists assure us that artificial intelligence will free us from menial work so we can focus on more meaningful and creative work. When I asked ChatGPT about its educational role, it offered the usual optimism, focusing on efficiency:"AI can be a powerful tool to enhance human productivity and creativity. Rather than replacing us, it can augment our abilities, making work more fulfilling. In this way, AI doesn’t just make life easier—it helps us reimagine what work means and empowers us to spend more time on what truly matters."The pronoun us jumped out at me. AI speaks as though it already shares human aims. But does it grasp what makes learning formative rather than merely efficient?Let us picture a humanities classroom. Reading primary texts—Aristotle’s Nicomachean Ethics, for instance—often feels like violin practice: dense, slow, and sometimes tedious. A student can now upload the text, prompt an AI for a synopsis, and receive an instant outline. Hours saved, concepts clarified, quiz scores boosted—external goods secured.Yet that shortcut bypasses the internal good of reading itself. Lingering over a paragraph is not wasted time; it is the learning. More importantly, as we read, the text also reads us: a paragraph questions an unspoken assumption, an unfamiliar idea enlarges imagination, a story strangely mirrors our own. None of that occurs when we outsource reading to the so-called “efficient” AI.When we reframe reading as a powerful practice of formation, tedium turns into joy. While we move through the words, we are simultaneously moved by them—seen, challenged, and reshaped by voices from centuries ago or a continent away. Out of that slow interaction emerges the joy of reading for its own sake. It becomes an interior reward that resists quick translation into productivity metrics.Such formation extends well beyond the classroom. Someone who once wrestled patiently with Aristotle may later join a neighborhood book club simply for the pleasure of shared discovery. The capacity to be transformed by texts—through a time-consuming, attention-demanding encounter—is a deeply human gift that no algorithm can replicate.On the other hand, from a social ethics perspective, I am concerned about the issue of accessibility to this formative dimension of education. As AI more embeds itself in education, the formative joys of slow learning might risk becoming a privilege. Students juggling multiple jobs or heavy caregiving duties are the ones who would be more tempted to outsource reading to generative AI tools. If engagement is priced in hours only the well-resourced can spare, we reinforce inequities that we, as educators, claim to resist.Although we continue to work on this challenge, it is crucial for us as educators to foreground formation—particularly communal formation—in our pedagogy. Yes, AI can be a powerful tool. And it can help students in many ways. For example, AI may serve as a tutor, offering personalized learning experiences. Nevertheless, we need to re-claim the distinct human gift in the slow, shared process of learning. It is the dimension of education that makes us who we are, as individuals and communities, and that AI simply cannot provide. Yes, it is difficult, but fun!

For many of my students, voicing themselves is not the issue. Mostly, they are terrified of revealing their authentic voice. Although I empathize with them, my role as teacher obligates me to keep them faithful to its discovery, even if their authentic voice is not a fixed thing. Hence, I approach this pastoral work with the understanding that their respective voices are dynamic and ever-changing, not along a linear trajectory, but within the messy cycles of their precious lives. In this way, my role as teacher is to inspire them to discover a self-authenticated speech power that when activated they can proudly hear and see themselves. And yet despite my good efforts, I inevitably have students who have despairingly succumbed to the notion that their voice is not worth hearing. Achingly, such devaluing of self is often the result of a combination of adverse and even abusive social, political, and economic forces that they have encountered over the course of their lives. For other students, the issue is not worthlessness but often anxiety in hearing those facets of their voices that expose their privilege and cultural bubble. To cope with either one of these voice-silencing impulses, students usually opt for a masking scheme that I call, the plagiarized voice. Here, the goal is to disguise their authentic self, with all its flaws, foibles, and flavors, by appropriating other people’s authentic voice. Beyond simply quoting word for word from another author without giving proper credit, which is a dishonest academic practice resulting in dismissal, students assemble a composite voice using a default collection of words and phrases. There is also the habitual deployment of go-to concepts and argumentation that are indiscriminately plugged into their writing. The entire production points clearly to the concealment of their authentic voice. Another giveaway to this masking tactic is when students carelessly employ—whether in their writing assignments or class participation—trendy keywords, particularly the kind that they think would trigger a better grade from me. Knowing that my scholarly voice reveals an ethical commitment to the themes of “postcoloniality,” “migration,” “trauma,” “empire,” “violence,” “colonialism,” and “marginality,” students surmise that by sprinkling their writing with these words enough times a higher grade will magically appear. It is not that these themes are off-limits in students’ writing, for I teach that they are critical to understanding the cultural, social, and political instincts of the writers of the Hebrew Bible. Furthermore, these inscribed instincts belong to the sacred otherness of the biblical text, and hence we should resist colonizing their language and cultural points of view. At issue here, however, is when these themes and concepts do not cross-pollinate with a student’s authentic self in ways that show their close reading, creativity, and courage. Indeed, the lived experience with imperial violence that permeates much of the Hebrew Bible requires attentive and respectful listening, such that the felt pain behind the text is not diluted by sanitized scholarly jargon. If pain and suffering are common to all humans across time and space, then students should be able to hear themselves in the stories and poetry of the Hebrew Bible. Likewise, theorizing on ancient forms of colonization also requires a spectrum of diverse dialogue partners, some with expertise in literary analysis and others who write about imperial violence from first-hand experience. In my view, inviting a mixed range of reading partners (preferably in nonhierarchical fashion) is vital pedagogical practice that allows my students to fine-tune their authentic voice. In other words, the aim is not to harvest a new collection of catchy phrases but to hear oneself in relation to a rich variety of other voices. For example, when students encounter a rape scene in the biblical text—troublingly, there are many to choose from—how do they respond to the expert critics who gloss over this egregious form of violence? Or if students hear from authors who write about their first-hand experience with exile, does their testimony strike a chord in ways that could help students better exegete the biblical text? Notably, teaching future pastors the Hebrew Bible at a Protestant seminary is in many ways about authentic voice, specifically the divine voice. It is this pursuit of authenticity that my students are expecting—and frankly pay—to receive. The divine voice is not something that can be reproduced through Generative AI, for the authenticity of God is revealed through the realms of faith. And in the end, they will be practicing this pursuit each time they take the pulpit. For it is here that their congregants gather, expecting to receive from them an authentic word from God. As a teacher, when I think of this sacred moment, liberating students from the plagiarized voice becomes even more urgent.