Article
Comment
Education
Leading
5 min read

Why I teach over my students’ heads

Successful teaching is a work of empathy that stretches the mind.
A blackboard covered in chalk writing and highlights.
James's chalkboard.

I’ve been teaching college students for almost 30 years now. As much as I grumble during grading season, it is a pretty incredible way to make a living. I remain grateful. 

I am not the most creative pedagogue. My preference is still chalk, but I can live with a whiteboard (multiple colors of chalk or markers are a must). Over the course of 100 minutes, various worlds emerge that I couldn’t have anticipated before I walked into class that morning. (I take photos of what emerges so I can remember how to examine the students later.) I think there is something important about students seeing ideas—and their connections—unfold in “real time,” so to speak.  

I’ve never created a PowerPoint slide for a class. I put few things on Moodle, and only because my university requires it. I’ve heard people who use “clickers” in class and I have no idea what they mean. I find myself skeptical whenever administrators talk about “high impact” teaching practices (listening to lectures produced the likes of Hegel and Hannah Arendt; what have our bright shiny pedagogical tricks produced?). I am old and curmudgeonly about such “progress.”  

But I care deeply about teaching and learning. I still get butterflies before every single class. I think (hope!) that’s because I have a sense of what’s at stake in this vocation.  

I am probably most myself in a classroom. As much as I love research, and imagine myself a writer, the exploratory work of teaching is a crucial laboratory for both. I love making ideas come alive for students—especially when students are awakened by such reflection and grappling with challenging texts. You see the gears grinding. You see the brow furrowing. Every once in a while, you sense the reticence and resistance to an insight that unsettles prior biases or assumptions; but the resistance is a sign of getting it. And then you see the light dawn. I’m a sucker for that spectacle.  

This is how the hunger sets in. If you can invite a student to care about the questions, to grasp their import, and experience the unique joy of joining the conversation that is philosophy. 

Successful teaching is, fundamentally, a work of empathy. As a teacher, you have to try to remember your way back into not knowing what you now take for granted. You have to re-enter a student’s puzzlement, or even apathy, to try to catalyze questions and curiosity. Because I teach philosophy, my aim is nothing less than existential engagement. I’m not trying to teach them how to write code or design a bridge; I’m trying to get them to envision a different way to live. But, for me, it’s impossible to separate the philosophical project from the history of philosophy: to do philosophy is to join the long conversation that is the history of philosophy. So we are always wresting with challenging, unfamiliar texts that arrive from other times that might as well be other planets for students in the twenty-first century.  

So successful teaching requires a beginner’s mindset on the part of the teacher, a charitable capacity to remember what ignorance (in the technical sense) feels like. To do so without condescension is absolutely crucial if teaching is going to be an art of invitation rather than an act of alienation. (The latter, I fear, is more common than we might guess.) 

Such empathy means meeting students where they are. But successful teaching is also about stretching students’ minds and imaginations into new territory and unfamiliar habits of mind. This is where I find myself especially skeptical of pedagogical developments that, to my eyes, run the risk of infantilizing college students. (I remember a workshop in which a “pedagogical expert” explained that the short attention span of students required changing the PowerPoint slide every 8 seconds. This does not sound like a recipe for making students more human, I confess.) 

That’s why I am unapologetic about trying to teach over my students’ heads. I don’t mean, of course, that I’m satisfied with spouting lectures that elude their comprehension. That would violate the fundamental rule of empathy. But such empathy—meeting students where they are—is not mutually exclusive with also inviting them into intellectual worlds and conversations where they won’t comprehend everything.  

This is how the hunger sets in. If you can invite a student to care about the questions, to grasp their import, and experience the unique joy of joining the conversation that is philosophy, then part of the thrill, I think, is being admitted into a world where you don’t “get” everything.  

This gambit—every once in a while, talking about ideas and thinkers as if students should know them—is, I maintain, still an act of empathy.

When I’m teaching, I think of this in a couple of ways. At the same time that I am trying to make core ideas and concepts accessible and understandable, I don’t regret talking about attendant ideas and concepts that will, to this point, still elude students. For the sharpest students, this registers as something to learn, something to be curious about. Or sometimes when we’re focused on, say, Pascal or Hegel, I’ll plant little verbal footnotes—tiny digressions about how Hannah Arendt engaged their work in the 20th century, or how O.K. Bouwsma’s reading of Anselm is akin to something we’re talking about. The vast majority of students won’t be familiar with either, but it’s another indicator of how big and rich and complicated the intellectual cosmos of philosophy is. For some of these students (not all, certainly), this becomes tantalizing: they want to become the kind of people for whom a vast constellation of ideas and thinkers are as familiar and present as their friends and cousins. This becomes a hunger to belong to such a world, to join such a conversation.  

This gambit—every once in a while, talking about ideas and thinkers as if students should know them—is, I maintain, still an act of empathy. To both meet students where they are and, at the same time, teach “over their heads,” is an invitation to stretch into new terrain and thereby swell the soul into the fullness for which it was made. The things that skitter just over their heads won’t be on the exam, of course; but I’m hoping they’ll chase some of them for a lifetime to come. 

  

This article was originally published on James K A Smith’s Substack Quid Amo.

Article
AI
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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