The latest crisis in education: many university degrees may now be obtained by fraud
Here's a moral conundrum. Would you cheat in an exam by getting outside help if no-one knew you were doing it? No? Well, would you cheat in an exam if you were nearly sure that everyone else was cheating and, by being honest, you'd put yourself at a disadvantage?
That's a tougher ask. And if the difference between a stellar result and a middling one might have an effect on your career, wouldn't that be the point when you'd think: to hell with it?
If your answer is no to all the above, I salute you. But you're probably outnumbered by the rest.
This isn't an abstract question. It's the position that many universities, including the top ones, are putting their students in. Two academic assessment experts, Philip Newton and Michael Draper, at Swansea university used Freedom of Information requests to find out if, five years since Covid, universities were still using online remote exams.
And the thing about remote exams is that no one knows if you get your brainy room-mate or your mother or your old teacher to help you do the work. Of the 119 universities that responded, 78 per cent used this model. That's nearly 100 institutions. What's more, they included almost all the elite Russell Group universities, apart from Imperial College. Birmingham didn't respond. So…that's 22 out of 24.
To make matters worse, three quarters of them did not use any invigilation service; only ten said they used remote supervision of candidates for all online exams. Not surprisingly, the academics observed in their report that 'widespread' lack of invigilation should raise concerns about the validity of these examinations as an assessment format and the quality assurance of degrees relying on them. They noted too that ChatGPT made it worse.
I'd go further. The results based on remote exams aren't worth having. Employers shouldn't take them seriously. Universities are issuing degrees based on results that they know are probably obtained by fraud.
Worse, students have a perverse incentive to cheat. As Prof Newton put it: 'Students are forced to choose – do they cheat, or risk getting lower marks than peers who did cheat, with consequences for employability?'
Any exam that isn't based on supervised work, preferably pen and paper at a desk in an exam hall, under the nose of an alert invigilator, is useless; unless it's an oral exam where the candidate can be questioned.
Anything else isn't worth having. The same goes for any kind of coursework, unless it's art, craft or technology which is essentially practical. To put it another way, any examination that allows the candidates' parents, friends or helpers to contribute is an incentive to cheat.
It's not just university degrees that are affected by remote working. My daughter is doing English A level and an eighth of her marks are awarded for an essay done outside school. 'Lots of people's parents are helping them', she observed. I bet they are.
The middle-class parents especially will make sure that their child's university place isn't compromised by sub-par coursework. I can see the point of an extended essay, but what's wrong with doing it on school premises?
This is serious. The integrity of British degrees is being blatantly compromised by universities and it's time the minister responsible for higher education, Jacqui Smith, issued a statement on what's being done about it.
If universities can't be bothered to conduct fair examinations, then they shouldn't be in business.
As Prof. Newton told me: 'the simple solution to this is for the Office for Students and/or the Quality Assurance Agency to make a statement that these sorts of exams are not valid under the terms of registration/accreditation. Universities would cease to use them immediately.' So, Jacqui Smith…what's stopping you?
Broaden your horizons with award-winning British journalism. Try The Telegraph free for 1 month with unlimited access to our award-winning website, exclusive app, money-saving offers and more.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
an hour ago
- Forbes
Doing The Work With Frontier Models: I'll Talk To AI
Artificial Intelligence processor unit. Powerful Quantum AI component on PCB motherboard with data ... More transfers. Within the industry, where people talk about the specifics of how LLMs work, they often use the term 'frontier models.' But if you're not connected to this business, you probably don't really know what that means. You can intuitively apply the word 'frontier' to know that these are the biggest and best new systems that companies are pushing. Another way to describe frontier models is as 'cutting-edge' AI systems that are broad in purpose, and overall frameworks for improving AI capabilities. When asked, ChatGPT gives us three criteria – massive data sets, compute resources, and sophisticated architectures. Here are some key characteristics of frontier models to help you flush out your vision of how these models work: First, there is multimodality, where frontier models are likely to support non-text inputs and outputs – things like image, video or audio. Otherwise, they can see and hear – not just read and write. Another major characteristic is zero-shot learning, where the system is more capable with less prompting. And then there's that agent-like behavior that has people talking about the era of 'agentic AI.' If you want to play 'name that model' and get specific about what companies are moving this research forward, you could say that GPT 4o from OpenAI represents one such frontier model, with multi-modality and real-time inference. Or you could tout the capabilities of Gemini 1.5, which is also multimodal, with decent context. And you can point to any number of other examples of companies doing this kind of research well…but also: what about digging into the build of these systems? At a recent panel at Imagination in Action, a team of experts analyzed what it takes to work in this part of the AI space and create these frontier models The panel moderator, Peter Grabowski, introduced two related concepts for frontier models – quality versus sufficiency, and multimodality. 'We've seen a lot of work in text models,' he said. 'We've seen a lot of work on image models. We've seen some work in video, or images, but you can easily imagine, this is just the start of what's to come.' Douwe Kiela, CEO of Contextual AI, pointed out that frontier models need a lot of resources, noting that 'AI is a very resource-intensive endeavor.' 'I see the cost versus quality as the frontier, and the models that actually just need to be trained on specific data, but actually the robustness of the model is there,' said Lisa Dolan, managing director of Link Ventures (I am also affiliated with Link.) 'I think there's still a lot of headroom for growth on the performance side of things,' said Vedant Agrawal, VP of Premji Invest. Agrawal also talked about the value of using non-proprietary base models. 'We can take base models that other people have trained, and then make them a lot better,' he said. 'So we're really focused on all the all the components that make up these systems, and how do we (work with) them within their little categories?' The panel also discussed benchmarking as a way to measure these frontier systems. 'Benchmarking is an interesting question, because it is single-handedly the best thing and the worst thing in the world of research,' he said. 'I think it's a good thing because everyone knows the goal posts and what they're trying to work towards, and it's a bad thing because you can easily game the system.' How does that 'gaming the system' work? Agrawal suggested that it can be hard to really use benchmarks in a concrete way. 'For someone who's not deep in the research field, it's very hard to look at a benchmarking table and say, 'Okay, you scored 99.4 versus someone else scored 99.2,'' he said. 'It's very hard to contextualize what that .2% difference really means in the real world.' 'We look at the benchmarks, because we kind of have to report on them, but there's massive benchmark fatigue, so nobody even believes it,' Dolan said. Later, there was some talk about 10x systems, and some approaches to collecting and using data: · Identifying contractual business data · Using synthetic data · Teams of annotators When asked about the future of these systems, the panel return these three concepts: · AI agents · Cross-disciplinary techniques · Non-transformer architectures Watch the video to get the rest of the panel's remarks about frontier builds. What Frontier Interfaces Will Look Like Here's a neat little addition – interested in how we will interact with these frontier models in 10 years' time, I put the question to ChatGPT. Here's some of what I got: 'You won't 'open' an app—they'll exist as ubiquitous background agents, responding to voice, gaze, emotion, or task cues … your AI knows you're in a meeting, it reads your emotional state, hears what's being said, and prepares a summary + next actions—before you ask.' That combines two aspects, the mode, and the feel of what new systems are likely to be like. This goes back to the personal approach where we start seeing these models more as colleagues and conversational partners, and less as something that stares at you from a computer screen. In other words, the days of PC-DOS command line systems are over. Windows changed the computer interface from a single-line monochrome system, to something vibrant with colorful windows, reframing, and a tool-based desktop approach. Frontier models are going to do even more for our sense of interface progression. And that's going to be big. Stay tuned.


Time Business News
6 hours ago
- Time Business News
Hiring: Content Writers for BitStocky.com (Crypto & Finance Niche)
Location: Remote Position: Freelance / Part-Time / Internship Experience: Freshers & Experienced Writers Welcome Pay: Based on quality & experience (per word/article basis) About Us: is a growing platform focused on cryptocurrency, blockchain, Bitcoin, Ethereum, and financial education. We provide news, analysis, predictions, and how-to guides in simple and engaging language. What We're Looking For: We are hiring content writers who are passionate about: Cryptocurrency & Web3 Stock market & personal finance Writing SEO-optimized, plagiarism-free, and original content Responsibilities: Write long-form articles (1000–2000+ words) and short news posts Use simple language and human tone Research accurate data from trusted sources Follow given SEO guidelines (we'll teach you if needed) Requirements: Good English writing skills Basic knowledge of Bitcoin, Ethereum, or finance (preferred) Ability to meet deadlines No AI or copy-paste content (we check for 100% originality) Perks: Internship Certificate (for students) Flexible timing Your name as author on Long-term earning opportunity for quality writers How to Apply: Send the following to bitstockynews@ Name & short bio 1–2 writing samples (preferably on crypto/finance topics) Your availability per week Or apply directly at Let's build the future of financial content together! TIME BUSINESS NEWS


Tom's Guide
6 hours ago
- Tom's Guide
ChatGPT Projects just got smarter — here's how to use the new tools
OpenAI's new ChatGPT Projects feature just got a huge upgrade, and it's a game-changer for anyone using ChatGPT to manage complex workstreams. Whether you're planning a major event or project, a busy professional or just trying to keep your thoughts organized, Projects gives you a centralized hub where your chats, files and instructions can all live in one focused workspace.I have found it extremely helpful for keeping Custom GPT instructions in one place in case there is another ChatGPT outage. I also use it to keep all my favorite prompts in one place. Here's everything you need to know to get started, including how to create a Project, what it can (and can't) do, and why it just might become your favorite new productivity tool. ChatGPT Projects are like folders for your chats. Each 'Project' lets you: This makes Projects ideal for larger tasks that require ongoing iteration, deeper context or collaboration. I'm currently using it for all the polished images and edits for my current middle grade novel – it's a breeze having everything in one place. To create a new Project: In the left-hand sidebar, click New Project Get instant access to breaking news, the hottest reviews, great deals and helpful tips. Give it a clear, goal-oriented name (e.g., 'College Applications,' 'Business Ideas' or 'Novel Outline') Upload any relevant files and add custom instructions to guide ChatGPT's behavior. This is a great time to use the '3-word-rule' (e.g., 'Act like a UX expert giving me design advice') Instructions you add here will only apply inside this Project — not to your general ChatGPT usage elsewhere. You can drag and drop existing chats into a project or use the menu next to any chat to select Move to project or Create new project. Once a chat is inside a project, it will take on that project's custom instructions and can reference any files you've uploaded. This creates a seamless thread of context that helps ChatGPT deliver smarter, more consistent responses. To remove a chat from a project, just drag it out or choose Remove from the chat's something worth considering: although there is a separate Image Library, I like to use Projects to keep the images together for a specific project. That way everything stays organized and in one place. Projects support a wide range of tools, making them a one-stop shop for research, planning, and execution. Even better? Only the individual chat is shared — not your entire project or its files/ Projects you can: Each user can create unlimited Projects (with up to 20 files each, subject to subscription rate limits). If you're done with a Project, you can delete it by clicking the three-dot menu next to the Project name. This will permanently erase all chats, files and custom instructions inside. It's a good idea to delete unnecessary chats and files to ensure you never run out of space. Once deleted, the content is purged within 30 days — so be sure to back up anything important. If you have memory enabled on your ChatGPT account, Projects can reference past chats and uploaded files to provide more relevant, consistent answers. This is especially useful for long-term or multi-phase work, like writing a novel or managing a product launch. Note: To enable full memory functionality in Projects, make sure both Saved Memories and Reference Chat History are turned on in your settings. Use the Search chats bar to quickly pull up any conversation across your Projects. You can remove files, merge documents, or break your work into multiple Projects if you hit your file limit. For Pro, Team, Enterprise, and Edu users, ChatGPT does not use project data to train its models. If you're a free user or on a personal Plus/Pro plan, training can happen only if you've opted into model improvement. For enterprise-level users, Projects inherit all your workspace's existing settings — including encryption, audit logs, feature availability and data residency. Admins can't yet disable Projects entirely, but they maintain full control over retention windows and tool access. Whether you're managing a solo side hustle or leading a team initiative, ChatGPT Projects make it easier to keep everything aligned and all in one place. The feature's mix of organization, chat tools and deep memory integration turns ChatGPT into something so much more than a chatbot. It becomes your creative, analytical, always-on partner. It's completely changed the way I work and stay organized.