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LLMs usually cannot do a good job of explaining how a particular passage from a longer text illuminates the whole of that longer text. Moreover, ChatGPT’s outputs on comparison and contrast are often superficial. Typically the system breaks down a task of logical comparison into bite-size pieces, conveys shallow information about each of those pieces, and then formulaically “compares” and “contrasts” in a noticeably superficial or repetitive way. 

In-class writing, whether digital or handwritten, may have downsides for students with anxiety and disabilities

ChatGPT can produce outputs that take the form of  “brainstorms,” outlines, and drafts. It can also provide commentary in the style of peer review or self-analysis. Nonetheless, students would need to coordinate multiple submissions of automated work in order to complete this type of assignment with a text generator.  

No one should present auto-generated writing as their own on the expectation that this deception is undiscoverable. 

LLMs often mimic the harmful prejudices, misconceptions, and biases found in data scraped from the internet

Show students examples of inaccuracy, bias, logical, and stylistic problems in automated outputs. We can build students’ cognitive abilities by modeling and encouraging this kind of critique. Given that social media and the internet are full of bogus accounts using synthetic text, alerting students to the intrinsic problems of such writing could be beneficial. (See the “ChatGPT/LLM Errors Tracker,” maintained by Gary Marcus and Ernest Davis.)

Since ChatGPT is good at grammar and syntax but suffers from formulaic, derivative, or inaccurate content, it seems like a poor foundation for building students’ skills and may circumvent their independent thinking.

Good journalism on language models is surprisingly hard to find since the technology is so new and the hype is ubiquitous. Here are a few reliable short pieces.     “ChatGPT Advice Academics Can Use Now” edited by Susan Dagostino, Inside Higher Ed, January 12, 2023  “University students recruit AI to write essays for them. Now what?” by Katyanna Quach, The Register, December 27, 2022  “How to spot AI-generated text” by Melissa Heikkilä, MIT Technology Review, December 19, 2022  The Road to AI We Can Trust, Substack by Gary Marcus, a cognitive scientist and AI researcher who writes frequently and lucidly about the topic. See also Gary Marcus and Ernest Davis, “GPT-3, Bloviator: OpenAI’s Language Generator Has No Idea What It’s Talking About” (2020).

“On the Dangers of Stochastic Parrots” by Emily M. Bender, Timnit Gebru, et al, FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, March 2021. Association for Computing Machinery, doi: 10.1145/3442188. A blog post summarizing and discussing the above essay derived from a Critical AI @ Rutgers workshop on the essay: summarizes key arguments, reprises discussion, and includes links to video-recorded presentations by digital humanist Katherine Bode (ANU) and computer scientist and NLP researcher Matthew Stone (Rutgers).

It's not so much a rise of evil as a rise of nonsense. It's a mass incompetence, as opposed to Skynet from the Terminator movies. That's what this type of AI turns into.

What's happened here is that translators haven't been made obsolete. What's happened instead is that the structure through which we receive the efforts of real people in order to make translations happen has been optimized, but those people are still needed.

In order to create this illusion of a freestanding autonomous artificial intelligent creature, we have to ignore the contributions from all the people whose data we're grabbing in order to make it work. That has a negative economic consequence.

If you talk to translators, they're facing a predicament, which is very similar to some of the other early victim populations, due to the particular way we digitize things. It's similar to what's happened with recording musicians, or investigative journalists—which is the one that bothers me the most—or photographers. What they're seeing is a severe decline in how much they're paid, what opportunities they have, their long-term prospects.

because of the mythology about AI, the services are presented as though they are these mystical, magical personas. IBM makes a dramatic case that they've created this entity that they call different things at different times—Deep Blue and so forth. The consumer tech companies, we tend to put a face in front of them, like a Cortana or a Siri

If you talk about AI as a set of techniques, as a field of study in mathematics or engineering, it brings benefits. If we talk about AI as a mythology of creating a post-human species, it creates a series of problems that I've just gone over, which include acceptance of bad user interfaces, where you can't tell if you're being manipulated or not, and everything is ambiguous. It creates incompetence, because you don't know whether recommendations are coming from anything real or just self-fulfilling prophecies from a manipulative system that spun off on its own, and economic negativity, because you're gradually pulling formal economic benefits away from the people who supply the data that makes the scheme work.

This idea that some lab somewhere is making these autonomous algorithms that can take over the world is a way of avoiding the profoundly uncomfortable political problem, which is that if there's some actuator that can do harm, we have to figure out some way that people don't do harm with it. There are about to be a whole bunch of those. And that'll involve some kind of new societal structure that isn't perfect anarchy. Nobody in the tech world wants to face that, so we lose ourselves in these fantasies of AI. But if you could somehow prevent AI from ever happening, it would have nothing to do with the actual problem that we fear, and that's the sad thing, the difficult thing we have to face.

To reject your own ignorance just casts you into a silly state where you're a lesser scientist. I don't see that so much in the neuroscience field, but it comes from the computer world so much, and the computer world is so influential because it has so much money and influence that it does start to bleed over into all kinds of other things.

This generation, the first not to have known life before the internet, has acquired a battery of skills in navigating digital environments, but it isn’t clear how well those skills line up with the ones traditionally accredited by universities.

From the perspective of students raised in a digital culture, the anti-plagiarism taboo no doubt seems to be just one more academic hang-up, a weird injunction to take perfectly adequate information, break it into pieces and refashion it. Students who pay for essays know what they are doing; others seem conscientious yet intimidated by secondary texts: presumably they won’t be able to improve on them, so why bother trying? For some years now, it’s been noticeable how many students arrive at university feeling that every interaction is a test they might fail. They are anxious. Writing seems fraught with risk, a highly complicated task that can be executed correctly or not.

Many students may like the flexibility recorded lectures give them, but the conversion of lectures into yet more digital ‘content’ further destabilises traditional conceptions of learning and writing

the evaluation forms which are now such a standard feature of campus life suggest that many students set a lot of store by the enthusiasm and care that are features of a good live lecture

the drift of universities towards a platform model, which makes it possible for students to pick up learning materials as and when it suits them. Until now, academics have resisted the push for ‘lecture capture’. It causes in-person attendance at lectures to fall dramatically, and it makes many lecturers feel like mediocre television presenters. Unions fear that extracting and storing teaching for posterity threatens lecturers’ job security and weakens the power of strikes. Thanks to Covid, this may already have happened.

In the utopia sold by the EdTech industry (the companies that provide platforms and software for online learning), pupils are guided and assessed continuously. When one task is completed correctly, the next begins, as in a computer game; meanwhile the platform providers are scraping and analysing data from the actions of millions of children. In this behaviourist set-up, teachers become more like coaches: they assist and motivate individual ‘learners’, but are no longer so important to the provision of education. And since it is no longer the sole responsibility of teachers or schools to deliver the curriculum, it becomes more centralised – the latest front in a forty-year battle to wrest control from the hands of teachers and local authorities.

an injunction against creative interpretation and writing, a deprivation that working-class children will feel at least as deeply as anyone else.

There may be very good reasons for delivering online teaching in segments, punctuated by tasks and feedback, but as Yandell observes, other ways of reading and writing are marginalised in the process. Without wishing to romanticise the lonely reader (or, for that matter, the lonely writer), something is lost when alternating periods of passivity and activity are compressed into interactivity, until eventually education becomes a continuous cybernetic loop of information and feedback. How many keystrokes or mouse-clicks before a student is told they’ve gone wrong? How many words does it take to make a mistake?

This vision of language as code may already have been a significant feature of the curriculum, but it appears to have been exacerbated by the switch to online teaching. In a journal article from August 2020, ‘Learning under Lockdown: English Teaching in the Time of Covid-19’, John Yandell notes that online classes create wholly closed worlds, where context and intertextuality disappear in favour of constant instruction. In these online environments, readingis informed not by prior reading experiences but by the toolkit that the teacher has provided, and ... is presented as occurring along a tramline of linear development. Different readings are reducible to better or worse readings: the more closely the student’s reading approximates to the already finalised teacher’s reading, the better it is. That, it would appear, is what reading with precision looks like.

Constant interaction across an interface may be a good basis for forms of learning that involve information-processing and problem-solving, where there is a right and a wrong answer. The cognitive skills that can be trained in this way are the ones computers themselves excel at: pattern recognition and computation. The worry, for anyone who cares about the humanities in particular, is about the oversimplifications required to conduct other forms of education in these ways.

Blanket surveillance replaces the need for formal assessment.

Confirming Adorno’s worst fears of the ‘primacy of practical reason’, reading is no longer dissociable from the execution of tasks. And, crucially, the ‘goals’ to be achieved through the ability to read, the ‘potential’ and ‘participation’ to be realised, are economic in nature.

since 2019, with the Treasury increasingly unhappy about the amount of student debt still sitting on the government’s balance sheet and the government resorting to ‘culture war’ at every opportunity, there has been an effort to single out degree programmes that represent ‘poor value for money’, measured in terms of graduate earnings. (For reasons best known to itself, the usually independent Institute for Fiscal Studies has been leading the way in finding correlations between degree programmes and future earnings.) Many of these programmes are in the arts and humanities, and are now habitually referred to by Tory politicians and their supporters in the media as ‘low-value degrees’.

studying the humanities may become a luxury reserved for those who can fall back on the cultural and financial advantages of their class position. (This effect has already been noticed among young people going into acting, where the results are more visible to the public than they are in academia or heritage organisations.)

given the changing class composition of the UK over the past thirty years, it’s not clear that contemporary elites have any more sympathy for the humanities than the Conservative Party does. A friend of mine recently attended an open day at a well-known London private school, and noticed that while there was a long queue to speak to the maths and science teachers, nobody was waiting to speak to the English teacher. When she asked what was going on, she was told: ‘I’m afraid parents here are very ambitious.’ Parents at such schools, where fees have tripled in real terms since the early 1980s, tend to work in financial and business services themselves, and spend their own days profitably manipulating and analysing numbers on screens. When it comes to the transmission of elite status from one generation to the next, Shakespeare or Plato no longer has the same cachet as economics or physics.

Leaving aside the strategic political use of terms such as ‘woke’ and ‘cancel culture’, it would be hard to deny that we live in an age of heightened anxiety over the words we use, in particular the labels we apply to people. This has benefits: it can help to bring discriminatory practices to light, potentially leading to institutional reform. It can also lead to fruitless, distracting public arguments, such as the one that rumbled on for weeks over Angela Rayner’s description of Conservatives as ‘scum’. More and more, words are dredged up, edited or rearranged for the purpose of harming someone. Isolated words have acquired a weightiness in contemporary politics and public argument, while on digital media snippets of text circulate without context, as if the meaning of a single sentence were perfectly contained within it, walled off from the surrounding text. The exemplary textual form in this regard is the newspaper headline or corporate slogan: a carefully curated series of words, designed to cut through the blizzard of competing information.

Visit any actual school or university today (as opposed to the imaginary ones described in the Daily Mail or the speeches of Conservative ministers) and you will find highly disciplined, hierarchical institutions, focused on metrics, performance evaluations, ‘behaviour’ and quantifiable ‘learning outcomes’.

If young people today worry about using the ‘wrong’ words, it isn’t because of the persistence of the leftist cultural power of forty years ago, but – on the contrary – because of the barrage of initiatives and technologies dedicated to reversing that power. The ideology of measurable literacy, combined with a digital net that has captured social and educational life, leaves young people ill at ease with the language they use and fearful of what might happen should they trip up.

It has become clear, as we witness the advance of Panopto, Class Dojo and the rest of the EdTech industry, that one of the great things about an old-fashioned classroom is the facilitation of unrecorded, unaudited speech, and of uninterrupted reading and writing.

What works best, Kitchen says, is to keep direct instruction—things like brief video lectures and readings—in asynchronous form, using checks for understanding like embedded questions or exit slips.  You can then use synchronous meetings for more interactive, engaging work. “If we want students showing up, if we want them to know that this is worth their time,” Kitchen explains, “it really needs to be something active and engaging for them. Any time they can work with the material, categorize it, organize it, share further thoughts on it, have a discussion, all of those are great things to do in small groups.” 

The Jigsaw method, where students form expert groups on a particular chunk of content, then teach that content to other students. Discussion strategies adapted for virtual settingsUsing best practices for cooperative learning Visible Thinking routinesGamestorming and other business related protocols adapted for education, where students take on the role of customers/stakeholders

What really holds leverage for the students? What has endurance? What knowledge is essential?What knowledge and skills do students need to have before they move to the next grade level or the next class?What practices can be emphasized that transfer across many content areas?  Skills like analyzing, constructing arguments, building a strong knowledge base through texts, and speaking can all be taught through many different subjects. What tools can serve multiple purposes? Teaching students to use something like Padlet gives them opportunities to use audio, drawing, writing, and video. Non-digital tools can also work: Students can use things they find around the house, like toilet paper rolls, to fulfill other assignments, and then submit their work with a photo.

Online instruction is not conducive to covering large amounts of content, so you have to choose wisely, teaching the most important things at a slower pace.

Provide instructions in a consistent location and at a consistent time. This advice was already given for parents, but it’s worth repeating here through the lens of instructional design: Set up lessons so that students know where to find instructions every time. Make instructions explicit. Read and re-read to make sure these are as clear as possible. Make dogfooding your lessons a regular practice to root out problem areas.Offer multimodal instructions. If possible, provide both written and video instructions for assignments, so students can choose the format that works best for them. You might also offer a synchronous weekly or daily meeting; what’s great about doing these online is that even if you teach several sections of the same class per day, students are no longer restricted to class times and can attend whatever meeting works best for them.

put the emphasis on formative feedback as students work through assignments and tasks, rather than simply grading them at the end. 

In online learning, Kitchen says, “There are so many ways that students can cheat, so if we’re giving them just the traditional quiz or test, it’s really easy for them to be able to just look up that information.” A great solution to this problem is to have students create things.

For assessment, use a detailed rubric that highlights the learning goals the end product will demonstrate. A single-point rubric works well for this.To help students discover tools to work with, this list of tools is organized by the type of product each one creates. Another great source of ideas is the Teacher’s Guide to Tech.When developing the assignment, rather than focusing on the end product, start by getting clear on what you want students to DO with that product.

Clear and consistent communicationCreating explicit and consistent rituals and routinesUsing research-based instructional strategiesDetermining whether to use digital or non-digital tools for an assignment A focus on authentic learning, where authentic products are created and students have voice and choice in assignments

Social isolation contributes to mental health problems. Social isolation contributes to domestic violence.

Do not require synchronous work. Students should not need to show up at a specific time for anything. REFUSE to do any synchronous work.

Do not record lectures unless you need to. (This is fundamentally different from designing an online course, where recorded information is, I think, really important.) They will be a low priority for students, and they take up a lot of resources on your end and on theirs. You have already built a rapport with them, and they don’t need to hear your voice to remember that.

Do record lectures if you need to. When information cannot be learned otherwise, include a lecture. Your university already some kind of tech to record lectures. DO NOT simply record in PowerPoint as the audio quality is low. While many people recommend lectures of only 5 minutes, I find that my students really do listen to longer lectures. Still, remember that your students will be frequently interrupted in their listening, so a good rule is 1 concept per lecture. So, rather than a lecture on ALL of, say, gender inequality in your Intro to Soc course, deliver 5 minutes on pay inequity (or 15 minutes or 20 minutes, if that’s what you need) and then a separate lecture on #MeToo and yet another on domestic violence. Closed caption them using the video recording software your university provides. Note that YouTube also generates closed captions [edited to add: they are not ADA compliant, though]. If you don’t have to include images, skip the video recording and do a podcast instead.

Editing is a waste of your time right now.

Listen for them asking for help. They may be anxious. They may be tired. Many students are returning to their parents’ home where they may not be welcome. Others will be at home with partners who are violent. School has been a safe place for them, and now it’s not available to them. Your class may matter to them a lot when they are able to focus on it, but it may not matter much now, in contrast to all the other things they have to deal with. Don’t let that hurt your feelings, and don’t hold it against them in future semesters or when they come back to ask for a letter of recommendation.

Allow every exam or quiz to be taken at least twice, and tell students that this means that if there is a tech problem on the first attempt, the second attempt is their chance to correct it. This will save you from the work of resetting tests or quizzes when the internet fails or some other tech problem happens. And since it can be very hard to discern when such failures are really failures or students trying to win a second attempt at a quiz or test, you avoid having to deal with cheaters.

Do NOT require students to use online proctoring or force them to have themselves recorded during exams or quizzes. This is a fundamental violation of their privacy, and they did NOT sign up for that when they enrolled in your course.

Circumvent the need for proctoring by making every exam open-notes, open-book, and open-internet. The best way to avoid them taking tests together or sharing answers is to use a large test bank.

Remind them of due dates. It might feel like handholding, but be honest: Don’t you appreciate the text reminder from your dentist that you have an appointment tomorrow? Your LMS has an announcement system that allows you to write an announcement now and post it later.

Make everything self-grading if you can (yes, multiple choice and T/F on quizzes and tests) or low-stakes (completed/not completed).

Don’t do too much. Right now, your students don’t need it. They need time to do the other things they need to do.

Make all work due on the same day and time for the rest of the semester. I recommend Sunday night at 11:59 pm.

This advice is very different from that which I would share if you were designing an online course. I hope it’s helpful, and for those of you moving your courses online, I hope it helps you understand the labor that is required in building an online course a bit better.

When Dapier talks with other teen librarians about the issue of school surveillance, “we’re very alarmed,” he said. “It sort of trains the next generation that [surveillance] is normal, that it’s not an issue. What is the next generation’s Mark Zuckerberg going to think is normal?

“It’s the school as panopticon, and the sweeping searchlight beams into homes, now, and to me, that’s just disastrous to intellectual risk-taking and creativity.”

“They’re so unclear that I’ve just decided to cut off the research completely, to not do any of it.”

“They are all mandatory, and the accounts have been created before we’ve even been consulted,” he said. Parents are given almost no information about how their children’s data is being used, or the business models of the companies involved. Any time his kids complete school work through a digital platform, they are generating huge amounts of very personal, and potentially very valuable, data. The platforms know what time his kids do their homework, and whether it’s done early or at the last minute. They know what kinds of mistakes his kids make on math problems.

Felix, now 12, said he is frustrated that the school “doesn’t really [educate] students on what is OK and what is not OK. They don’t make it clear when they are tracking you, or not, or what platforms they track you on. “They don’t really give you a list of things not to do,” he said. “Once you’re in trouble, they act like you knew.”

As of 2018, at least 60 American school districts had also spent more than $1m on separate monitoring technology to track what their students were saying on public social media accounts, an amount that spiked sharply in the wake of the 2018 Parkland school shooting, according to the Brennan Center for Justice, a progressive advocacy group that compiled and analyzed school contracts with a subset of surveillance companies.

Many parents also said that they wanted more transparency and more parental control over surveillance. A few years ago, Ben, a tech professional from Maryland, got a call from his son’s principal to set up an urgent meeting. His son, then about nine or 10-years old, had opened up a school Google document and typed “I want to kill myself.” It was not until he and his son were in a serious meeting with school officials that Ben found out what happened: his son had typed the words on purpose, curious about what would happen. “The smile on his face gave away that he was testing boundaries, and not considering harming himself,” Ben said. (He asked that his last name and his son’s school district not be published, to preserve his son’s privacy.) The incident was resolved easily, he said, in part because Ben’s family already had close relationships with the school administrators.

there is still no independent evaluation of whether this kind of surveillance technology actually works to reduce violence and suicide.

Certain groups of students could easily be targeted by the monitoring more intensely than others, she said. Would Muslim students face additional surveillance? What about black students? Her daughter, who is 11, loves hip-hop music. “Maybe some of that language could be misconstrued, by the wrong ears or the wrong eyes, as potentially violent or threatening,” she said.

The Parent Coalition for Student Privacy was founded in 2014, in the wake of parental outrage over the attempt to create a standardized national database that would track hundreds of data points about public school students, from their names and social security numbers to their attendance, academic performance, and disciplinary and behavior records, and share the data with education tech companies. The effort, which had been funded by the Gates Foundation, collapsed in 2014 after fierce opposition from parents and privacy activists.

“More and more parents are organizing against the onslaught of ed tech and the loss of privacy that it entails. But at the same time, there’s so much money and power and political influence behind these groups,”

some privacy experts – and students – said they are concerned that surveillance at school might actually be undermining students’ wellbeing

“I do think the constant screen surveillance has affected our anxiety levels and our levels of depression.” “It’s over-guarding kids,” she said. “You need to let them make mistakes, you know? That’s kind of how we learn.”

existing efforts "focus on the interpretive responsibilities of the individual,"

"if bad actors intentionally dump disinformation online with an aim to distract and overwhelm, is it possible to safeguard against media manipulation?"

A 2012 meta-analysis by academic researchers found that media literacy efforts could help boost students' critical awareness of messaging, bias, and representation in the media they consumed. There have been small studies suggesting that media-literacy efforts can change students' behaviors—for example, by making them less likely to seek out violent media for their own consumption. And more recently, a pair of researchers found that media-literacy training was more important than prior political knowledge when it comes to adopting a critical stance to partisan media content.

the roles of institutions, technology companies, and governments

Generally these papers are just pumped-up versions of the five-paragraph essay, with filler added. Thesis-driven, argumentative, like the newspaper editorials the genre is based on, this "researched writing" promises to solve big questions with little effort: "Reproductive rights resolved in five pages!"

Actual writing related to research is modest, qualified, and hesitant

our actual model involves elaborately respectful conversation, demonstrating sensitivity to the most nuanced claims of previous researchers

Academic, legal, medical, and business writing has easily understandable conventions. We responsibly survey the existing literature, formally or informally creating an annotated bibliography. We write a review of the literature, identifying a "blank" spot ignored by other scholars, or a "bright" spot where we see conflicting evidence. We describe the nature of our research in terms of a contribution to the blank or bright spot in that conversation. We conclude by pointing to further questions.

Millions of pieces of research writing that aren’t essays usefully circulate in the profession through any number of sharing technologies, including presentations and posters; grant and experiment proposals; curated, arranged, translated, or visualized data; knowledgeable dialogue in online media with working professionals; independent journalism, arts reviews, and Wikipedia entries; documentary pitches, scripts and storyboards; and informative websites.

real researchers don’t write a word unless they have something to contribute. We should teach our students to do the same

DLA is explic­itly res­i­den­tial and dia­log­i­cal

Not so much a replace­ment as a sup­ple­ment to dig­i­tal human­i­ties, DLA broad­ens the scope and relo­cates the cen­ter of grav­ity of what I have referred to as the dig­i­tal human­i­ties sit­u­a­tion, the recur­ring, play­ful encounter of human­ists with tech­nol­ogy.  Instead of focus­ing on what may bet­ter be described as the com­pu­ta­tional human­i­ties (a use­ful term recently pro­posed by Lev Manovich), the dig­i­tal lib­eral arts seeks to locate dig­i­tal media squarely within the frame of the lib­eral arts, broadly con­ceived as a cur­ricu­lum, not a dis­ci­pline or even set of dis­ci­plines, and as a dis­tinc­tive mode of edu­ca­tional expe­ri­ence, not a set of received the­o­ret­i­cal con­cerns. It is a fram­ing par­tic­u­larly suited to lib­eral arts col­leges — America’s great con­tri­bu­tion to higher learn­ing — but also to uni­ver­si­ties, such as UVa, whose souls are in the lib­eral arts as well.

the idea of Coursera-style MOOCs being part of the DLA is a non-starter, although dis­trib­uted and medi­ated forms of edu­ca­tion can, and I think must, become part of the lib­eral arts experience

DLA is as con­cerned with ped­a­gogy as it is with research

focus­ing on the real use of dig­i­tal col­lec­tions (for exam­ple) as much as on their cre­ation and publication

Something that's not purely digital but also that the efficiency of the face-to-face time is much greater

Can we transform this credentialing process? And in fact the ideal would be to separate out the idea of proving your knowledge from the way you acquire that knowledge

Employers have decided that having the breadth of knowledge that's associated with a four-year degree is often something they want to see in the people they give that job to. So instead of testing for that different profession, they'll be testing that you have that broader exposure

that failing student is a disaster for everyone

What is it that we need to do to strengthen this fundamental part of our country that both in a broad sort of economic level and an individual-rights level is the key enabler. And it's amazing how little effort's been put into this. Of saying, OK, why are some teachers at any different level way better than others? You've got universities in this country with a 7-percent completion rate. Why is it that they don't come under pressure to change what they're doing to come up with a better way of doing things?

We bet on the change agents within the universities. And so, various universities come to us and say, We have some ideas about completion rates, here are some things we want to try out, it's actually budget that holds us back from being able to do that. People come to us and say, We want to try a hybrid course where some piece is online, some piece is not, and we're aiming this at the students that are in the most need, not just the most elite. So that's who we're giving grants to, people who are trying out new things in universities. Now the idea that if you have a few universities that figure out how to do things well. how do you spread these best practices, that's a tough challenge. It's not the quite same way as in the private sector that if somebody's doing something better, the price signals force that to be adopted broadly. Here, things move very slowly even if they are an improvement.

Q. Some of what you've been talking about is getting people to completion by weeding out extraneous courses. There's a concern by some that that might create pressure to make universities into a kind of job-training area without the citizenship focus of that broad liberal-arts degree.

it is important to distinguish when people are taking extra courses that broaden them as a citizen and that would be considered a plus, versus they're just marking time because they're being held up because the capacity doesn't exist in the system to let them do what they want to do. As you go through the student survey data, it's mostly the latter. But I'm the biggest believer in taking a lot of different things. And hopefully, if these courses are appealing enough, we can get people even after they've finished a college degree to want to go online and take these courses.

Other countries are sending more kids to college. They're getting higher completion rates. They've moved ahead of us

There's nothing that was more important to me in terms of the kind of opportunity I had personally. I went to a great high school. I went to a great university. I only went three years, but it doesn't matter; it was still extremely valuable to me to be in that environment. And I had fantastic professors throughout that whole thing. And so, if every kid could have that kind of education, we'd achieve a lot of goals both at the individual and country level

One of the strengths of higher ed is the variety. But the variety has also meant that if somebody is doing something particularly well, it's hard to map that across a lot of different institutions. There aren't very many good metrics. At least in high schools we can talk about dropout rates. Completion rate was really opaque, and not talked about a lot. The quality-measure things are equally different. We don't have a gold standard like SAT scores or No Child Left Behind up at the collegiate level. And of course, kids are more dispersed in terms of what their career goals are at that point. So it's got some things that make it particularly challenging, but it has a lot in common, and I'd say it's equally important to get it right

Jarvis never broaches such subtleties. His is a simple world:

why not consider the possibility that the incumbents may be using the same tools, Jarvis’s revered technologies, to tell us what to think, and far more effectively than before? Internet shelf space may be infinite, but human attention is not. Cheap self-publishing marginally improves one’s chances of being heard, but nothing about this new decentralized public sphere suggests that old power structures—provided they are smart and willing to survive—will not be able to use it to their benefit

Jarvis 1.0 was all about celebrating Google, but Jarvis 2.0 has new friends in Facebook and Twitter. (An Internet intellectual always keeps up.) Jarvis 1.0 wrote that “Google’s moral of universal empowerment is the sometimes-forgotten ideal of democracy,” and argued that the company “provides the infrastructure for a culture of choice,” while its “algorithms and its business model work because Google trusts us.” Jarvis 2.0 claims that “by sharing publicly, we people challenge Google’s machines and reclaim our authority on the internet from algorithms.”

Jarvis has another reference point, another sacred telos: the equally grand and equally inexorable march of the Internet, which in his view is a technology that generates its own norms, its own laws, its own people. (He likes to speak of “us, people of the Net.”) For the Technology Man, the Internet is the glue that holds our globalized world together and the divine numen that fills it with meaning. If you thought that ethnocentrism was bad, brace yourself for Internet-centrism

Why worry about the growing dominance of such digitalism? The reason should be obvious. As Internet-driven explanations crowd out everything else, our entire vocabulary is being re-defined. Collaboration is re-interpreted through the prism of Wikipedia; communication, through the prism of social networking; democratic participation, through the prism of crowd-sourcing; cosmopolitanism, through the prism of reading the blogs of exotic “others”; political upheaval, through the prism of the so-called Twitter revolutions. Even the persecution of dissidents is now seen as an extension of online censorship (rather than the other way around). A recent headline on the blog of the Harvard-based Herdictproject—it tracks Internet censorship worldwide—announces that, in Mexico and Morocco, “Online Censorship Goes Offline.” Were activists and dissidents never harassed before Twitter and Facebook?

Most Internet intellectuals simply choose a random point in the distant past—the honor almost invariably goes to the invention of the printing press—and proceed to draw a straight line from Gutenberg to Zuckerberg, as if the Counter-Reformation, the Thirty Years’ War, the Reign of Terror, two world wars—and everything else—never happened.

even their iPad is of interest to them only as a “platform”—another buzzword of the incurious—and not as an artifact that is assembled in dubious conditions somewhere in East Asian workshops so as to produce cultic devotion in its more fortunate owners. This lack of elementary intellectual curiosity is the defining feature of the Internet intellectual. History, after all, is about details, but no Internet intellectual wants to be accused of thinking small. And so they think big—sloppily, ignorantly, pretentiously, and without the slightest appreciation of the difference between critical thought and market propaganda.