New Jersey Governor Phil Murphy called for a statewide ban on cellphones in K-12 classrooms during his State of the State address on Tuesday, citing concerns over student distraction and mental health. The Democratic governor, in his final year in office, also proposed full salary payments for state workers using parental leave and expanded full-day pre-K programs across the state.

The cellphone initiative follows similar restrictions in seven other states, including California and Florida. A Pew Research poll showed 68% of U.S. adults support classroom phone bans, with 72% of teachers calling the devices a major distraction. "Mobile devices are fueling a rise in cyberbullying and making it incredibly difficult for our kids to learn," Murphy told state legislators.

Nearly a quarter of Harvard Business School's 2024 M.B.A. graduates remained jobless three months after graduation, highlighting deepening employment challenges at elite U.S. business schools. The unemployment rate for Harvard M.B.A.s rose to 23% from 20% a year earlier, more than double the 10% rate in 2022.

Major employers including McKinsey, Amazon, Google, and Microsoft have scaled back M.B.A. recruitment, with McKinsey cutting its hires at University of Chicago's Booth School to 33 from 71. "We're not immune to the difficulties of the job market," said Kristen Fitzpatrick, who oversees career development at Harvard Business School. "Going to Harvard is not going to be a differentiator. You have to have the skills." Columbia Business School was the only top program to improve its placement rate in 2024. Median starting salaries for employed M.B.A.s remain around $175,000.

An anonymous reader shares a report: Academia is in a credibility crisis. A record-breaking 10,000 scientific papers were retracted in 2023 because of scientific misconduct, and academic journals are overwhelmed by AI-generated images, data, and texts. To understand the roots of this problem, we must look at the role of metrics in evaluating the academic performance of individuals and institutions.

To gauge research quality, we count papers, citations, and calculate impact factors. The higher the scores, the better. Academic performance is often expressed in numbers. Why? Quantification reduces complexity, makes academia manageable, allows easy comparisons among scholars and institutions, and provides administrators with a feeling of grip on reality. Besides, numbers seem objective and fair, which is why we use them to allocate status, tenure, attention, and funding to those who score well on these indicators.

The result of this? Quantity is often valued over quality. In The Quantified Society I coin the term "indicatorism": a blind focus on enhancing indicators in spreadsheets, while losing sight of what really matters. It seems we're sometimes busier with "scoring" and "producing" than with "understanding." As a result, some started gaming the system. The rector of one of the world's oldest universities, for one, set up citation cartels to boost his citation scores, while others reportedly buy(!) bogus citations. Even top-ranked institutions seem to play the indicator game by submitting false data to improve their position on university rankings!

Wikipedia's massive dataset helped researchers identify three styles of curiosity -- "busybody," "hunter," and "dancer" -- based on how users navigate its pages (see: wiki rabbit hole). These curiosity styles reflect broader social trends and highlight curiosity's role in connecting information rather than merely acquiring it. Scientific American reports: In this lexicon, a busybody traces a zigzagging route through many often distantly related topics. A hunter, in contrast, searches with sustained focus, moving among a relatively small number of closely related articles. A dancer links together highly disparate topics to try to synthesize new ideas. "Curiosity actually works by connecting pieces of information, not just acquiring them," says University of Pennsylvania network scientist Dani Bassett, cosenior author on a recent study of these curiosity types in Science Advances. "It's not as if we go through the world and pick up a piece of information and put it in our pockets like a stone. Instead we gather information and connect it to stuff that we already know."

The team tracked more than 482,000 people using Wikipedia's mobile app in 50 countries or territories and 14 languages. The researchers charted these users' paths using "knowledge networks" of connected information, which depict how closely one search topic (a node in the network) is related to another. Beyond just mapping the connections, they linked curiosity styles to location-based indicators of well-being, inequality, and other measures. In countries with higher education levels and greater gender equality, people browsed more like busybodies. In countries with lower scores on these variables, people browsed like hunters. Bassett hypothesizes that "in countries that have more structures of oppression or patriarchal forces, there may be a constraining of knowledge production that pushes people more toward this hyperfocus." The researchers also analyzed topics of interest, ranging from physics to visual arts, for busybodies compared with hunters (graphic). Dancer patterns, more recently confirmed, were excluded. Editor note: This article was published on December 24, 2024, based on a study published in October, 2024.

An anonymous reader quotes a report from The Register: A leading education software maker has admitted its IT environment was compromised in a cyberattack, with students and teachers' personal data -- including some Social Security Numbers and medical info -- stolen. PowerSchool says its cloud-based student information system is used by 18,000 customers around the globe, including the US and Canada, to handle grading, attendance records, and personal information of more than 60 million K-12 students and teachers. On December 28 someone managed to get into its systems and access their contents "using a compromised credential," the California-based biz told its clients in an email seen by Register this week.

[...] "We believe the unauthorized actor extracted two tables within the student information system database," a spokesperson told us. "These tables primarily include contact information with data elements such as name and address information for families and educators. "For a certain subset of the customers, these tables may also include Social Security Number, other personally identifiable information, and limited medical and grade information. "Not all PowerSchool student information system customers were impacted, and we anticipate that only a subset of impacted customers will have notification obligations." While the company has tightened security measures and offered identity protection services to affected individuals, cybersecurity firm Cyble suggests the intrusion "may have been more serious and gone on much longer than has been publicly acknowledged so far," reports The Register. The cybersecurity vendor says the intrusion could have occurred as far back as June 16, 2011, with it ending on January 2 of this year.

"Critical systems and applications such as Oracle Netsuite ERP, HR software UltiPro, Zoom, Slack, Jira, GitLab, and sensitive credentials for platforms like Microsoft login, LogMeIn, Windows AD Azure, and BeyondTrust" may have been compromised, too.

Plaintiffs in Kadrey v. Meta allege that Meta CEO Mark Zuckerberg authorized the team behind the company's Llama AI models to use a dataset of pirated ebooks and articles for training. They further accuse the company of concealing its actions by stripping copyright information and torrenting the data. TechCrunch reports: In newly unredacted documents filed (PDF) with the U.S. District Court for the Northern District of California late Wednesday, plaintiffs in Kadrey v. Meta, who include bestselling authors Sarah Silverman and Ta-Nehisi Coates, recount Meta's testimony from late last year, during which it was revealed that Zuckerberg approved Meta's use of a data set called LibGen for Llama-related training. LibGen, which describes itself as a "links aggregator," provides access to copyrighted works from publishers including Cengage Learning, Macmillan Learning, McGraw Hill, and Pearson Education. LibGen has been sued a number of times, ordered to shut down, and fined tens of millions of dollars for copyright infringement.

According to Meta's testimony, as relayed by plaintiffs' counsel, Zuckerberg cleared the use of LibGen to train at least one of Meta's Llama models despite concerns within Meta's AI exec team and others at the company. The filing quotes Meta employees as referring to LibGen as a "data set we know to be pirated," and flagging that its use "may undermine [Meta's] negotiating position with regulators." The filing also cites a memo to Meta AI decision-makers noting that after "escalation to MZ," Meta's AI team "[was] approved to use LibGen." (MZ, here, is rather obvious shorthand for "Mark Zuckerberg.")

The details seemingly line up with reporting from The New York Times last April, which suggested that Meta cut corners to gather data for its AI. At one point, Meta was hiring contractors in Africa to aggregate summaries of books and considering buying the publisher Simon & Schuster, according to the Times. But the company's execs determined that it would take too long to negotiate licenses and reasoned that fair use was a solid defense. The filing Wednesday contains new accusations, like that Meta might've tried to conceal its alleged infringement by stripping the LibGen data of attribution.

An anonymous reader shares a report: Chinese venture capitalists are hounding failed founders [non-paywalled source], pursuing personal assets and adding the individuals to a national debtor blacklist when they fail to pay up, in moves that are throwing the country's startup funding ecosystem into crisis. The hard-nosed tactics by risk capital providers have been facilitated by clauses known as redemption rights, included in nearly all the financing deals struck during China's boom times.

"My investors verbally promised they wouldn't enforce them, that they had never enforced them before -- and in '17 and '18 that was true -- no one was enforcing them," said Neuroo Education founder Wang Ronghui, who now owes investors millions of dollars after her childcare chain stumbled during the pandemic.

While they are relatively rare in US venture investing, more than 80% of venture and private equity deals in China contain redemption provisions, according to Shanghai-based law firm Lifeng Partners estimates. They typically require companies, and often their founders as well, to buy back investors' shares plus interest if certain targets such as an initial public offering timeline, valuation goals or revenue metrics are not met.

Long-time Slashdot reader theodp writes: In an Op-ed for The Huntington News, fourth year Northeastern University CS student Derek Kaplan argues that real pedagogical merit is what should count when deciding which language to use to teach CS fundamentals (aka 'Fundies'). He makes the case for Northeastern to reconsider its decision to move from Racket to Python and Java later this year in an overhaul of its first-year curriculum.

"Students will get extensive training in Python, which is currently the most requested language by co-op employers," Northeastern explains (some two decades after a Slashdot commenter made the same Hot Languages = Jobs observation in a spirited 2001 debate on Java as a CS introductory language)...

"I have often heard computer science students complain that Fundies 1 teaches Racket instead of a 'useful language' like Python," Kaplan writes. "But the point of Fundies is not to teach Racket — it is to teach program design skills that can be applied using any programming language. Racket is just the tool it uses to do so. A student who does well in Fundies will have no difficulty applying the same skills to Python or any other language. And with how fast the tech industry changes, is it really worth having a course that teaches just Python when tomorrow, some other language might dominate the industry? Our current curriculum focuses on timeless principles rather than fleeting trends."

Also expressing concerns about the selection of suitable languages for novice programming is King's College CS Prof Michael Kölling, who explains, "One of the drivers is the perceived usefulness of the language in a real-world context. Students (and their parents) often have opinions which language is 'better' to learn. In forming these opinions, the definition of 'better' can often be vague and driven by limited insight. One strong aspect commonly cited is the perceived usefulness of a language in the 'real world.' If a language is widely used in industry, it is more likely to be seen as a useful language to learn." Kölling's recommendation? "We need a new language for teaching novices at secondary school and introductory university level," Kölling concludes. "This language should be designed explicitly for teaching [...] Maintenance and adaptation of this language should be driven by pedagogical considerations, not by industry needs."

While noble in intent, one suspects Kaplan and Kölling may be on a quixotic quest in a money wins world, outgunned by the demands, resources, and influence of tech giants like Amazon — the top employer of Northeastern MSCS program grads — who pushed back against NSF advice to deemphasize Java in high school CS and dropped $15 million to have tech-backed nonprofit Code.org develop and push a new Java-based, powered-by-AWS CS curriculum into high schools with the support of a consortium of politicians, educators, and tech companies. Echoing Northeastern, an Amazon press release argued the new Java-based curriculum "best prepares students for the next step in their education and careers."

Venezuela's Supreme Court on Monday fined TikTok $10 million for failing to prevent viral challenges allegedly linked to the deaths of three children. It also ordered the platform to establish a local office to oversee content compliance with national laws. The Associated Press reports: Judge Tania D'Amelio said TikTok had acted in a negligent manner and gave it eight days to pay the fine [...]. The judge did not explain how Venezuela would force TikTok, whose parent company is based in China, to pay the fine. Venezuela has blocked dozens of websites in previous years for not complying with regulations set by its telecommunications commission.

In November, Venezuelan President Nicolas Maduro blamed TikTok for the death of a 12-year-old girl who allegedly died after participating in a TikTok challenge that involved taking tranquilizer pills and not falling asleep. Venezuela's Education Minister Hector Rodriguez also said last month that a 14-year-old died after taking part in a TikTok challenge that involved sniffing substances. And on Nov. 21, Venezuela's attorney general blamed video challenges on TikTok for the death of a third child.

Valerie Warner is 71 years old — and owes $268,000 in student loans.

Roughly 40 years ago she went to law school, but was only able to find work as a legal aid and later work in the public school system, which the Washington Post calls "a rewarding job but one that didn't pay enough to wipe out her loans." Later she earned a masters of education degree: All told, Warner borrowed a total of about $60,000 for her two advanced degrees. The amount seemed reasonable given the career trajectory that both credentials promised, but that path never materialized. Working a series of low-wage jobs, she went in and out of forbearance before ultimately defaulting. The balance ballooned to the current $268,000 total over the years due to collection fees and interest capitalization.
And she's not the only one in debt. "On a dreary December afternoon, a group of senior citizens stood in the rain outside the Education Department pleading for relief from a debt that many fear will burden them for the rest of their lives..." Some sat in rocking chairs, cross-stitching their debt number in a pattern. Others held signs that read, "Time is running out, sunset our debt." Or wore T-shirts saying, "Debt relief before we die...."

[A]ctivists are urging the U.S. Education Department to discharge the student debt of older borrowers who they say are in no position to repay. They say the department could use a little-known federal statute that considers a person's ability to pay within a reasonable time and the inability of the government to collect the debt in full. There are 2.8 million federal student loan borrowers aged 62 and older with a total of $121.5 billion in debt, more than 726,300 of them over the age of 71, according to the Education Department. Older borrowers are one of the fastest-growing segments of the government's student loan portfolio, and their Social Security benefits are subject to garnishment...

The Education Department would only acknowledge receiving a memo from the Debt Collective, the group organizing the campaign, outlining the agency's authority to cancel the debt of older borrowers. The activist organization said it has been meeting with members of Congress, White House committees and Education Department officials about the matter since September. "Many of these folks have been borrowers for 20 or 30 years, with punishingly high interest rates. Their balances and the way they have dragged on for decades is just an indictment of the broken system and the failure of past relief efforts," said Eleni Schirmer, an organizer with the Debt Collective... According to the think tank New America, the number of Americans approaching retirement age with student loan debt has skyrocketed over 500 percent in the last two decades. Some have loans they took out to finance their college educations, while others took out federal Parent Plus loans or co-signed private loans for their children.
The article points out that the U.S. government will garnish up to 15 percent of the Social Security income to recoup student loan debt, even if it means leaving recipients below the poverty line.

But it also includes this quote from Adam Minsky, an attorney who specializes in student debt, about the prospects for federal action that survives challenges in the U.S. court system. "[A]s a practical matter, I don't think that judges and courts that have been hostile to mass debt relief would treat this differently from other programs that have been blocked or struck down."

OpenAI plans to overhaul its corporate structure by converting its for-profit business into a Delaware public benefit corporation, seeking to raise capital from investors who want conventional equity stakes.

The Microsoft-backed AI startup will scrap its unusual hybrid model where a nonprofit controls a capped-profit entity. The restructuring aims to help OpenAI compete with tech giants pouring hundreds of billions into AI development, it said.

Under the plan, OpenAI's nonprofit wing will receive shares in the new public benefit corporation at a valuation set by outside advisers. The nonprofit will pursue charitable work in healthcare and education while the corporation runs OpenAI's main operations.

The startup, which launched ChatGPT in 2022 and claims 300 million weekly users, said its current structure hampers fundraising at the scale needed to advance artificial general intelligence development. The restructured business will maintain OpenAI's mission of ensuring AI benefits humanity as its legal mandate.

theodp writes: In 2012, now-Microsoft President Brad Smith unveiled Microsoft's National Talent Strategy, a two-pronged strategy that called for tech visa restrictions to be loosened to allow tech companies to hire non-U.S. citizens to fill jobs until more American schoolchildren could be made tech-savvy enough to pass hiring standards. Shortly thereafter, tech-backed nonprofit Code.org emerged (led by Smith's next-door neighbor Hadi Partovi with Smith as a founding Board member) with a mission to ensure that U.S. schoolchildren started receiving 'rigorous' computer science education instruction. Around the same time, Mark Zuckerberg's FWD.us PAC launched (with support from Smith, Partovi, and other tech leaders) with a mission to reform tech visa policy to meet tech's need for talent.

Fast forward to 2024, and Newsweek reports the debate over tech immigration policy has been revived, spurred by the recent appointment of Sriram Krishnan as senior policy adviser for AI at the Trump White House. Comments by far-right political activist Laura Loomer on Twitter about Krishnan's call for loosening Green Card restrictions were met with rebuttals from prominent tech leaders who are also serving as members of the Trump transition team. Entrepreneur David Sacks, who Trump has tapped as his cryptocurrency and AI czar, took to social media to clarify that Krishnan advocates for removing country caps on green cards, not eliminating caps entirely, aiming to create a more merit-based system. However, the NY Times reported that Sacks discussed a much broader visa reform proposal with Trump during a June podcast ("What I will do is," Trump told Sacks, "you graduate from a college, I think you should get automatically, as part of your diploma, a green card to be able to stay in this country"). Elon Musk, the recently appointed co-head of Trump's new Dept. of Government Efficiency (DOGE) had Sacks' and Krishnan's backs (not unexpected -- both were close Musk advisors on his Twitter purchase), tweeting out "Makes sense" to his 209 million followers, lamenting that "the number of people who are super talented engineers AND super motivated in the USA is far too low," reposting claims crediting immigrants for 36% of the innovation in the U.S., and taking USCIS to task for failing to immediately recognize his own genius with an Exceptional Ability Green Card (for his long-defunct Zip2 startup).

Vivek Ramaswamy, who Trump has tapped to co-lead DOGE with Musk, agreed and fanned the Twitter flames with a pinned Tweet of his own explaining, "The reason top tech companies often hire foreign-born -- first-generation engineers over "native" Americans isn't because of an innate American IQ deficit (a lazy -- wrong explanation). A key part of it comes down to the c-word: culture." (Colorado Governor Jared Polis also took to Twitter to agree with Musk and Ramaswamy on the need to import 'elite engineers'). And Code.org CEO Partovi joined the Twitter fray, echoing the old we-need-H1B-visas-to-make-US-schoolchildren-CS-savvy argument of Microsoft's 2012 National Talent Strategy. "Did you know 2/3 of H1B visas are for computer scientists?" Partovi wrote in reply to Musk, Loomer, and Sachs. "The H1B program raises $500M/year (from its corporate sponsors) and all that money is funneled into programs at Labor and NSF without focus to grow local CS talent. Let's fund CS education." The NYT also cited Zuckerberg's earlier efforts to influence immigration policy with FWD.us (which also counted Sacks and Musk as early supporters), taking note of Zuck's recent visit to Mar-a-Lago and Meta's $1 million donation to Trump's upcoming inauguration.

So, who is to be believed? Musk, who attributes any tech visa qualms to "a 'fixed pie' fallacy that is at the heart of much wrong-headed economic thinking" and argues that "there is essentially infinite potential for job and company creation ['We should let anyone in the country who is hardworking and honest and will be a contributor to the United States,' Musk has said]"? Or economists who have found that immigration and globalization is not quite the rising-tide-that-raises-all-boats it's been cracked up to be?

Microsoft is warning that Windows 11 installations using USB or CD media created with October or November 2024 security updates may be unable to receive future security patches.

The bug affects version 24H2 installations made between October 8 and November 12, but does not impact systems updated through Windows Update or the Microsoft Update Catalog. Microsoft advised users to rebuild installation media using December 2024 patches while it works on a permanent fix for the issue, which primarily affects business and education environments.

They gave it the old college try, but America's elite universities are facing money problems partly of their own creation. From a report: It might not seem that way compared with the broader world of U.S. higher education. Ivy League institutions and a handful in a similar orbit like Stanford, Duke and the University of Chicago aren't just blessed to have international cachet and their pick of excellent students and professors -- they also have the most money and the richest alumni. By contrast, public and especially smaller private colleges and universities are cutting staff and programs. Many are closing outright.

A school like Harvard, now well into its fourth century, will almost certainly survive for a fifth one. But there are financial problems below the surface that could emerge if the bull market stumbles and especially if some proposed Trump administration policies are enacted. Harvard's $53.2 billion endowment is so huge that the difference between a good and a so-so investment performance translates to sums that would dwarf most colleges' entire nest eggs.

Former Harvard President and former U.S. Treasury Secretary Larry Summers estimated this year that if Harvard had been able to just keep up with other Ivies and "large endowment schools" in the past several years, it would have $20 billion more. For perspective, he says that just $1 billion could fund 100 professorships or permanently cover tuition for 100 students. But even Harvard's peer group isn't doing as well as it could. Veteran investment consultant Richard Ennis wrote this month that high costs and "outdated perceptions of superiority" have stymied Ivy League endowment returns, which could have been worth 20% more since the 2008 financial crisis if invested in a classic stock and bond mix.

An anonymous reader quotes a report from the Boston Globe: Every weekday morning at 8:30, Preston Thorpe makes himself a cup of instant coffee and opens his laptop to find the coding tasks awaiting his seven-person team at Unlocked Labs. Like many remote workers, Thorpe, the nonprofit's principal engineer, works out in the middle of the day and often stays at his computer late into the night. But outside Thorpe's window, there's a soaring chain-link fence topped with coiled barbed wire. And at noon and 4 p.m. every day, a prison guard peers into his room to make sure he's where he's supposed to be at the Mountain View Correctional Facility in Charleston, Maine, where he's serving his 12th year for two drug-related convictions in New Hampshire, including intent to distribute synthetic opioids.

Remote work has spread far and wide since the pandemic spurred a work-from-home revolution of sorts, but perhaps no place more unexpectedly than behind prison walls. Thorpe is one of more than 40 people incarcerated in Maine's state prison system who have landed internships and jobs with outside companies over the past two years -- some of whom work full time from their cells and earn more than the correctional officers who guard them. A handful of other states have also started allowing remote work in recent years, but none have gone as far as Maine, according to the Alliance for Higher Education in Prison, the nonprofit leading the effort.

Unlike incarcerated residents with jobs in the kitchen or woodshop who earn just a few hundred dollars a month, remote workers make fair-market wages, allowing them to pay victim restitution fees and legal costs, provide child support, and contribute to Social Security and other retirement funds. Like inmates in work-release programs who have jobs out in the community, 10 percent of remote workers' wages go to the state to offset the cost of room and board. All Maine DOC residents get re-entry support for housing and job searches before they're released, and remote workers leave with even more: up-to-date resumes, a nest egg -- and the hope that they're less likely to need food or housing assistance, or resort to crime to get by.

An anonymous reader quotes a report from Gizmodo: Once an icon of the 20th century seen as obsolete in the 21st, Encyclopedia Britannica -- now known as just Britannica -- is all in on artificial intelligence, and may soon go public at a valuation of nearly $1 billion, according to the New York Times.

Until 2012 when printing ended, the company's books served as the oldest continuously published, English-language encyclopedias in the world, essentially collecting all the world's knowledge in one place before Google or Wikipedia were a thing. That has helped Britannica pivot into the AI age, where models benefit from access to high-quality, vetted information. More general-purpose models like ChatGPT suffer from hallucinations because they have hoovered up the entire internet, including all the junk and misinformation.

While it still offers an online edition of its encyclopedia, as well as the Merriam-Webster dictionary, Britannica's biggest business today is selling online education software to schools and libraries, the software it hopes to supercharge with AI. That could mean using AI to customize learning plans for individual students. The idea is that students will enjoy learning more when software can help them understand the gaps in their understanding of a topic and stay on it longer. Another education tech company, Brainly, recently announced that answers from its chatbot will link to the exact learning materials (i.e. textbooks) they reference.

Britannica's CEO Jorge Cauz also told the Times about the company's Britannica AI chatbot, which allows users to ask questions about its vast database of encyclopedic knowledge that it collected over two centuries from vetted academics and editors. The company similarly offers chatbot software for customer service use cases. Britannica told the Times it is expecting revenue to double from two years ago, to $100 million.

An anonymous reader shares a report: In preparation for the summer Olympics in 2008, the authorities in Beijing, the host city and China's capital, launched a campaign to teach English to residents likely to come in contact with foreign visitors. Police, transit workers and hotel staff were among those targeted. One aim was to have 80% of taxi drivers achieve a basic level of competency. Today, though, any foreigner visiting Beijing will notice that rather few people are able to speak English well.

The 80% target proved a fantasy: most drivers still speak nothing but Chinese. Even the public-facing staff at the city's main international airport struggle to communicate with foreigners. Immigration officers often resort to computer-translation systems. For much of the 40 years since China began opening up to the world, "English fever" was a common catchphrase. People were eager to learn foreign languages, English most of all. Many hoped the skill would lead to jobs with international firms. Others wanted to do business with foreign companies. Some dreamed of moving abroad. But enthusiasm for learning English has waned in recent years. According to one ranking, by EF Education First, an international language-training firm, China ranks 91st among 116 countries and regions in terms of English proficiency. Just four years ago it ranked 38th out of 100.

One in five adults in developed nations demonstrate primary school-level literacy and numeracy skills, according to an OECD study of 160,000 people across 31 countries released December 10. The decennial Survey of Adult Skills reveals declining literacy rates over the past decade despite rising secondary education completion.

Finland topped rankings across all tested areas -- numeracy, literacy, and problem-solving -- while Japan, Norway and the Netherlands performed above average. The United States showed declining scores, with Chile, Italy, Poland and Portugal reporting high proportions of below-average performers. The study found widening skill gaps between top and bottom performers, with declining scores concentrated among lower-performing adults.

"Envy the lumberjacks, for they perform the happiest, most meaningful work on earth," the Washington Post wrote almost two years ago, after analyzing more than 13,000 journals from the U.S. Bureau of Labor Statistics' time-use survey. (For the first time the surveys asked how workers felt during the day.) And outdoor forestry jobs "look awesome by that metric, dangerous as they often are in the long run," the Post wrote in a recent follow-up. [Alternate URL.]

But is that really the right metric? "Readers kept reminding us that there's more to a fulfilling job than how happy you are while doing it." What about those wanting jobs where they're meaningfully impacting the world? We didn't have a stellar way to measure other feelings about work, but we kept our eye on an often-overlooked federal data provider: AmeriCorps. The independent agency, which CEO Michael D. Smith described to us as "bite-sized" but "punching well above our weight," funds the Civic Engagement and Volunteering Supplement, part of the Census Bureau's Current Population Survey... In 2021 and again in 2023, the researchers behind the CEV asked if you agree or disagree with these four statements:

- I am proud to be working for my employer.
- My main satisfaction in life comes from work.
- My workplace contributes to the community.
- I contribute to the community through my work....


The workers most likely to say they're proud to be working for their employer and that they gain satisfaction from work are — surprise! — the self-employed. The self-employed who are incorporated — a group that often includes small-business owners — are almost twice as likely as private-sector, for-profit workers to strongly profess pride in their employer.

Government and nonprofit workers fall somewhere in the middle on those questions. But they rank at the very top on "My workplace contributes to the community" and "I contribute to the community through my work." Local government workers, who include teachers, take the top spot for strong agreement on both, followed by nonprofit workers. Private-sector, for-profit workers once again lag behind. The jobs that do worse on these measures tend to be in manufacturing or other blue-collar production and extraction jobs, or at the lower-paid end of the service sector. Folks in food services (e.g., bartenders and food prep), janitorial roles and landscaping, and personal services (e.g., barbershops, laundry and hotels) all struggle to find greater meaning in their work. Though some better-paid service jobs also struggle by some measures — think sales, engineering or software development.

On the questions regarding pride in your employer and life satisfaction, we see managers and our old friends in agriculture and forestry take the top spots. But right behind them — and actually in the lead in the other question — lurks the real standout, a set of jobs we'd classify as "care and social services." That includes, most notably, religious workers. Looking a bit deeper at about 100 occupations for which we have detailed data, we see clergy were most likely to strongly agree on every question.
Other observations from the article:

• "As a rule, you feel better about your job as you get older. Presumably, it's some mix of people who love their work delaying retirement, people job-hopping until they find meaningful employment, and people learning to love whatever hand they've been dealt."

• "Most measures of satisfaction also rise with education, often quite sharply. Someone with a graduate degree is twice as likely as a high school dropout to strongly agree their workplace contributes to the community."

• But... "More-educated folks are actually a bit less likely to strongly agree that work is their main satisfaction in life."

A 19-year-old wrongfully accused of using AI told the Guardian's reporter that "to be accused of it because of 'signpost phrases', such as 'in addition to' and 'in contrast', felt very demeaning." And another student "told me they had been pulled into a misconduct hearing — despite having a low score on Turnitin's AI detection tool — after a tutor was convinced the student had used ChatGPT, because some of his points had been structured in a list, which the chatbot has a tendency to do." Dr Mike Perkins, a generative AI researcher at British University Vietnam, believes there are "significant limitations" to AI detection software. "All the research says time and time again that these tools are unreliable," he told me. "And they are very easily tricked." His own investigation found that AI detectors could detect AI text with an accuracy of 39.5%. Following simple evasion techniques — such as minor manipulation to the text — the accuracy dropped to just 22.1%. As Perkins points out, those who do decide to cheat don't simply cut and paste text from ChatGPT, they edit it, or mould it into their own work. There are also AI "humanisers", such as CopyGenius and StealthGPT, the latter which boasts that it can produce undetectable content and claims to have helped half a million students produce nearly 5m papers...

Many academics seem to believe that "you can always tell" if an assignment was written by an AI, that they can pick up on the stylistic traits associated with these tools. Evidence is mounting to suggest they may be overestimating their ability. Researchers at the University of Reading recently conducted a blind test in which ChatGPT-written answers were submitted through the university's own examination system: 94% of the AI submissions went undetected and received higher scores than those submitted by the humans...

Many universities are already adapting their approach to assessment, penning "AI-positive" policies. At Cambridge University, for example, appropriate use of generative AI includes using it for an "overview of new concepts", "as a collaborative coach", or "supporting time management". The university warns against over-reliance on these tools, which could limit a student's ability to develop critical thinking skills. Some lecturers I spoke to said they felt that this sort of approach was helpful, but others said it was capitulating. One conveyed frustration that her university didn't seem to be taking academic misconduct seriously any more; she had received a "whispered warning" that she was no longer to refer cases where AI was suspected to the central disciplinary board.
The Guardian notes one teacher's idea of more one-to-one teaching and live lectures — though he added an obvious flaw: "But that would mean hiring staff, or reducing student numbers." The pressures on his department are such, he says, that even lecturers have admitted using ChatGPT to dash out seminar and tutorial plans. No wonder students are at it, too.
The article points out "More than half of students now use generative AI to help with their assessments, according to a survey by the Higher Education Policy Institute, and about 5% of students admit using it to cheat." This leads to a world where the anti-cheating software Turnitin "has processed more than 130m papers and says it has flagged 3.5m as being 80% AI-written. But it is also not 100% reliable; there have been widely reported cases of false positives and some universities have chosen to opt out. Turnitin says the rate of error is below 1%, but considering the size of the student population, it is no wonder that many have found themselves in the line of fire." There is also evidence that suggests AI detection tools disadvantage certain demographics. One study at Stanford found that a number of AI detectors have a bias towards non-English speakers, flagging their work 61% of the time, as opposed to 5% of native English speakers (Turnitin was not part of this particular study). Last month, Bloomberg Businessweek reported the case of a student with autism spectrum disorder whose work had been falsely flagged by a detection tool as being written by AI. She described being accused of cheating as like a "punch in the gut". Neurodivergent students, as well as those who write using simpler language and syntax, appear to be disproportionately affected by these systems.
Thanks to Slashdot reader Bruce66423 for sharing the article.