Online Exam Proctoring with AI – Tackling Cheating in the Digital Classroom

John nervously adjusts his webcam as he prepares to take a final exam from his bedroom. It’s a familiar scene in today’s online classes: a student alone in a room, yet not really alone. On the other side of the screen, an unseen proctor (or perhaps an AI) watches his every move. John wonders if his environment is okay, if looking away to think might trigger an alarm, or if someone else in class has found a clever way to cheat the system. This scenario captures the growing concern around remote tests. When exams move online, what is a proctored exam online and how can it ensure everyone plays by the rules? The challenge is keeping tests fair and secure when the classroom is virtual – a problem affecting students, teachers, and institutions worldwide.

The Challenge: Fair Exams in a Remote World (The Pain)

In traditional classrooms, a proctor walking the aisles deters would-be cheaters. But in an online course, that physical oversight disappears, opening the door to new forms of dishonesty. Online exam cheating has evolved from whispered answers and passed notes into sophisticated digital schemes. Students might search answers on a second device, consult friends via chat, or even hire “experts” to take exams for them. This undermines academic integrity and frustrates honest learners. A recent study found 64% of students admit to some form of cheating in online exams, versus 43% in in-person settings. That means the risk of unfair play is higher when tests are remote, eroding trust in online education.

This problem doesn’t just hurt students’ grades – it strikes at the credibility of online programs. Who is affected? Virtually everyone involved in remote learning. Students who study hard feel cheated if others gain an advantage dishonestly. Educators and universities worry that if they can’t ensure exam integrity, their courses’ value will plummet. Parents and employers start doubting if an “A” in an online class means what it should. The surge in online classes (from university lectures to professional certifications) makes this issue more common than ever. For example, during the pandemic, many colleges caught students Googling answers or sharing screens during tests – something that simply wasn’t an option in a proctored classroom. The result? Distrust and anxiety. Everyone from high schoolers to corporate trainees can recognize the sinking feeling: “Is this test really fair?” Yes, online learning offers flexibility, but without proper safeguards, it can feel like the Wild West of cheating.

It’s no surprise that remote proctored exams have emerged as a solution. If you’re new to this concept, what is a proctored online exam exactly? In simple terms, it’s a test taken on your computer while being supervised remotely – either by a human invigilator via webcam or by AI-driven software designed to spot cheating. In other words, a remote online proctored exam means you take the exam from home, but “digital eyes” are watching your screen, face, and even audio to ensure you follow the rules. Early online exam platforms struggled to recreate the fairness of the classroom; many failed to create a cheating-free environment. That’s why robust proctoring – using technology and live monitoring – is now essential in online assessments. The goal is to halt cheating before it happens and maintain a level playing field. But implementing this brings its own challenges and emotions for those involved.

(By now, you might be wondering: are proctored exams required in all online classes? The short answer is not always – it depends on the stakes of the exam. Minor quizzes or low-stakes tests might go unproctored, but important midterms, finals, or certification exams are often proctored to uphold integrity. Schools and institutions decide when the extra oversight is worth it.)

The Human Impact: Stress, Anxiety, and Frustration (Emotion)

For students like John, the introduction of online proctoring is a double-edged sword. On one hand, he wants a fair exam. On the other, being watched by a webcam can be stressful and even invasive. Many test-takers feel a knot in their stomach knowing that every eye movement, every stray glance could be flagged as “suspicious” by an AI system. How does this problem impact daily life? Imagine sitting for a crucial exam while worrying not just about the questions, but whether your dog barking or your little sister wandering into the room might get you disqualified. It’s happened – students have been interrupted by family or noises and later feared they’d be accused of cheating by the monitoring software. A false cheating accusation can be devastating for a student’s academic career and confidence. The mere possibility creates a cloud of anxiety: “Will the AI know I’m just stretching, not trying to check notes?”

Privacy is another emotional trigger. Students and parents often express that having to scan one’s room with a webcam or being filmed in one’s personal space feels uncomfortably intrusive. They worry about where that footage goes and who reviews it. In 2025, exam-takers became more vocal than ever about these concerns – demanding that proctoring tools collect only the data needed and not turn their home into a surveillance zone. The fear of being unfairly watched or judged by an algorithm can be as big a stressor as the exam itself.

Meanwhile, educators face frustration of their own. No teacher wants to play detective, but they also hate seeing rampant cheating. It’s disheartening to suspect that the top score on an unproctored online test might belong not to the hardest-working student, but the cleverest cheater. Some professors have reported spending hours reviewing suspicious video flags or dealing with academic misconduct cases – time they’d rather spend teaching. And consider the honest students: if institutions ignore this problem, hardworking learners lose opportunities. Scholarships, awards, or admissions can be snagged by those who cheated on exams, an infuriating outcome for those who played by the rules. Overall, what people lose by ignoring the problem is trust – trust in online education, trust between teachers and students, and students’ trust in themselves. No one wants to constantly look over their shoulder (literally or figuratively) during an exam. We all crave a testing experience that feels secure yet respectful.

Why Action Is Needed Now (Urgency)

This issue isn’t some distant worry – it’s urgent today. The world of education and work has irrevocably shifted online, and there’s no going back. Even after the height of the pandemic, remote learning and testing have become a permanent part of how we educate and certify people. With that boom comes a parallel rise in cheating techniques. Would-be cheaters are getting craftier by the day, leveraging technology in startling ways. What started as simple Google searches during exams has escalated to organized networks selling answers and AI tools generating exam responses in real time. It’s essentially an arms race: as cheating methods become more sophisticated, so must the defenses. Consider that some students now use virtual machines or remote desktop hacks to conceal their activities, or discreet earbuds to get fed answers. This isn’t a problem that colleges or companies can afford to tackle “someday.” If we don’t act now, the integrity of online qualifications will continue to erode.

Timing is critical because technology is changing fast. For instance, the rise of generative AI (like AI writing bots) introduced new ways to cheat on written assignments – catching educators off guard. While not all fears materialized (cheating rates didn’t skyrocket overnight), the perception of cheating risk has grown. Surveys show students themselves expect more cheating in coming years with advanced tech readily available, and teachers have grown more distrustful of unmonitored work. This creates an environment of suspicion that hurts learning. If institutions delay improving their proctoring measures, they risk losing student confidence and public credibility. Imagine an employer hesitating to hire graduates from a program known for lax exam security – that’s a real competitive disadvantage in academia today.

There’s also an urgency from a fairness and mental health perspective. Students are currently caught between tougher policies and smarter cheats. Some universities have reacted by imposing strict proctoring and AI surveillance, which, without refinement, can produce false positives and unnecessary stress. It’s imperative now to implement solutions that are both effective and fair – before bad experiences sour students on online exams altogether. The trends are clear: in 2025, many institutions learned that proctoring must be done in a transparent, privacy-conscious way, or students push back. The good news is that the proctoring industry itself is evolving rapidly to meet these demands, with 2026 poised to bring better AI tools, hybrid human-AI systems, and privacy-first practices. This means the best time to strengthen online exam security is right now, leveraging the latest innovations. Waiting only widens the gap between increasingly clever cheating and outdated defenses. In short, we can’t afford to wait – the longer we delay shoring up exam integrity, the harder it will be to catch up and the more students will lose faith in the system.

Solutions: How AI Proctoring Works and Ways to Ensure Honest Exams

The urgent question becomes: How do we solve this? Fortunately, modern technology offers a promising answer in the form of AI-powered online proctoring. But technology alone isn’t a magic wand – it works best combined with smart strategies and human judgment. Let’s break down the practical solutions:

1. Embrace AI (with a Human Touch) in Proctoring:

Online proctoring systems today often use artificial intelligence to monitor exams at scale. How does an online proctor exam work with AI? Picture software that, through your webcam and microphone, automatically watches for anything unusual: another person in the room, you leaving your seat, books or phones in view, or even changes in your screen content. Advanced AI can track eye movements, detect multiple faces in the camera, listen for background voices, and log any attempt to open forbidden websites. For example, if you keep gazing away from the screen frequently, the AI may flag it as suspicious (an orange alert) for review. If someone else appears next to you or a phone screen flashes, that’s a red flag. The idea is to mimic what a vigilant human proctor would notice, but through algorithms that never get tired. AI proctoring verifies your identity (often with face recognition) and then monitors your behavior and environment in real-time, alerting if something seems off.

Importantly, the best practice emerging is a hybrid approach – AI plus human oversight. Why? While AI is excellent at scaling (one system can watch thousands of feeds at once) and catching obvious patterns, it isn’t foolproof at understanding context. A human invigilator or reviewer can analyze the AI’s flags and decide if there was real cheating or just an innocent stretch or technical glitch. In 2025, many organizations realized “AI alone cannot reliably interpret context or intent” and moved toward hybrid models: AI handles the heavy lifting of detection, humans provide the fairness and nuance in judgments. As one expert put it, human-backed AI wins on accuracy, equity, and trust. This means the solution isn’t replacing human proctors with AI, but letting AI filter out 90% of the noise so that human proctors can focus on the tricky 10% of cases that truly need their attention. Many institutions now use this hybrid proctoring as the dominant model, combining “the scalability and consistency of AI with the contextual judgment of human proctors”. It greatly reduces false alarms (one industry study noted that having humans review AI flags cut false positives by 85%) while still catching almost all real cheating.

2. Create a Secure and User-Friendly Exam Environment: Technology works best when paired with smart exam design. Schools and testing organizations are now layering multiple defenses to make cheating extremely difficult. This includes using “lockdown browsers” that prevent opening new tabs or apps during the exam, requiring ID verification (showing a student ID or driver’s license to the camera), and even doing a 360° room pan with the webcam before the test starts to ensure no notes or unallowed devices are around. Such steps ensure that when the exam begins, the playing field is truly level. At the same time, it’s crucial to keep the process user-friendly. Clear instructions and a quick equipment check go a long way. Proctoring solutions have improved to be less intrusive: for instance, some now integrate directly into the learning platform so students don’t have to install heavy software (meeting the demand for “no downloads” and low-stress verification). As institutions adopt proctoring, they’re learning to choose flexible settings based on exam stakes – perhaps using strict live monitoring for a final exam, but a lighter automated review for a weekly quiz. This balanced approach stops cheating without making students feel like they’re in a high-security prison for every test.

3. Educate and Prepare Students and Staff: A solution isn’t just about the tools, but also the people. Schools should openly communicate why proctoring is being used – emphasizing it’s there to protect honest students, not to assume everyone is guilty. Training is key: before a high-stakes exam, give students a practice run with the proctoring system. This way they can test their camera, microphone, and learn what to expect when taking an online proctored exam. (Many institutions now require a dummy test or equipment check 1-2 days before, and they report far fewer technical issues on the real exam day as a result.) Educators and proctors also need training to interpret AI alerts correctly and not overreact to every minor flag. Having clear policies and an appeals process helps – students should know they can explain if an alert was a false alarm (for example, if what the AI flagged was merely them talking to themselves or an unavoidable noise). Building this transparency and fairness into the system humanizes the proctoring process, so it doesn’t feel like “Big Brother” watching.

4. Modern Tools and Strategies to Catch Cheating: Aside from AI monitoring, new strategies are emerging to outsmart cheaters. Some are technical, like preventing the use of virtual machines or blocking shortcut keys that could be used to sneak a look at notes. Others are exam design choices: for instance, randomizing question orders and using large question banks so no two students have the same test, or designing questions that are harder to cheat on (application of knowledge rather than rote facts). The idea is to reduce the opportunities for dishonesty. One creative tactic is timing: giving a tight time limit so students don’t have time to look up many answers – though this must be balanced to not hurt those who work methodically. In short, institutions are pairing smart exam design with proctoring technology to cover all bases. It’s much harder to cheat when the system is watching and the test itself leaves little room for shortcuts.

Now, let’s make it concrete. For students, here’s how to take an online proctored exam successfully: prepare and follow best practices so the experience goes smoothly:

• Set up your space: Choose a quiet, well-lit room where you won’t be interrupted. Inform family or roommates that you’ll be in an exam. Clear your desk of any non-permitted materials – the camera may scan your workspace, and you don’t want sticky notes or books in view that could look like cheat sheets.
• Test your tech: Ensure your computer, webcam, and microphone are working properly ahead of time. A stable internet connection is a must. If the platform offers a system check or practice exam, do it. Nothing is worse than scrambling with a software download or a broken mic at the last minute.
• ID and login early: Be ready to verify your identity (have your photo ID handy). Log in to the exam platform 10-15 minutes early to complete any ID checks or room scans calmly. This also gives you a cushion to resolve technical hiccups with support if needed.
• Follow instructions and stay in frame: Once the online proctored exam starts, pay close attention to the rules. For example, if the exam is recorded, avoid looking around the room excessively – frequent glances away from the screen can trigger the AI’s suspicion, because it might interpret that as trying to consult something hidden. Instead, keep your focus on the test. If you need to stretch or adjust your seating, do it briefly and return to neutral. Always assume the camera and microphone are recording (even if it’s AI reviewing, assume a person will see anything flagged).
• Don’t panic, communicate: If something occurs – say your screen freezes, or an unavoidable distraction happens – don’t panic or try to secretly fix it in a way that looks sketchy. Use the platform’s chat or call the proctor to report the issue. For example, if your neighbor starts drilling noisily, inform the proctor so there’s a record that the noise wasn’t an attempt to cheat. Open communication can save you if an incident is later questioned.

By following these steps, taking a proctored exam online will feel less daunting. Remember, the proctors (human or AI) are not there to intimidate you; they’re there to ensure everyone gets a fair shot.

Benefits of AI-Driven Proctoring: A Fair Playing Field and Peace of Mind

Implementing online exam proctoring with AI isn’t just about catching cheaters – it fundamentally improves the quality and credibility of education. Here are some key benefits and positive outcomes once these solutions are in place:

• Restored Trust and Fairness: When students know that cheating is being actively prevented, they can breathe easier and focus on doing their best. An AI proctoring system helps ensure every test is completed by the right person, without cheating, which means honest students aren’t at a disadvantage. The playing field levels out. This boost in fairness can improve student morale and confidence in online programs. Instructors, too, regain trust that exam results truly reflect student learning. Over time, a culture of academic integrity takes hold – everyone knows that dishonesty will likely be caught, so fewer even attempt it. It’s a virtuous cycle that benefits all sincere learners.
• Wider Access to Education, Without Sacrificing Integrity: One wonderful thing about online exams is that they enable people to take tests from anywhere in the world. Proctoring makes this scalable. Universities can admit talented students globally into online programs, and those students can complete their degrees from home thanks to secure online exams. Professional certification bodies can offer remote testing to far-flung candidates. This convenience and flexibility can exist without watering down standards. In the past, an organization might hesitate to offer an online exam for fear of cheating, or require costly in-person test centers. AI proctoring removes those barriers. It saves time and money: no one has to travel to a testing site, schedule proctors for every small exam, or print paper tests. Institutions save on logistics, and students save on commuting – all while maintaining exam integrity.
• Scalability and Efficiency: AI proctoring shines in scalability. A single AI-based proctoring service can monitor hundreds or thousands of exam takers simultaneously, something impossible with purely human proctors. For large online courses or nationwide exams, this is a game-changer. It also means exams can be offered on-demand or more frequently, since monitoring isn’t a bottleneck. And consider the grading and review process: instead of relying on suspicion or hearsay, instructors get clear evidence of misconduct (like video clips of a violation) from the proctoring system. This makes handling academic dishonesty more objective and efficient. Meanwhile, honest students get their results faster when there are fewer incidents to investigate.
• Improved Exam Design and Student Skills: Interestingly, knowing that proctoring is in place often pushes educators to design better assessments and even motivates students to study harder. If a student knows they can’t cheat easily, they’re more likely to prepare adequately. And teachers, freed from some cheating concerns, can explore more rigorous question types (like open-ended problems) that truly test understanding. Some proctoring tools even provide anonymized analytics – for example, showing if many students struggled with a question without cheating involved – which can help improve teaching and support where needed. In essence, securing exams can lead to improvements in the overall learning and evaluation process.
• Protection of Academic and Professional Reputation: Finally, the outcomes extend beyond the classroom. Degrees and certifications earned honestly retain their market value. Employers and academic committees viewing an online degree or test score will have greater confidence that it means something. For institutions, this is priceless – their reputation for upholding standards remains intact. In a broader sense, society benefits when credentials are trustworthy. A nursing license earned via an online exam, for instance, is only valuable if we’re sure the nurse actually knew the material and didn’t cheat through. Robust proctoring ensures that those who pass the exam deserve to pass. The long-term benefit is a generation of professionals who truly mastered their qualifications.

Of course, no system is perfect, but the direction is encouraging. In fact, the industry is continuously refining proctoring to address earlier criticisms. Today’s best AI proctoring solutions focus on minimal invasiveness and high accuracy – for example, newer systems prioritize flagging only truly suspicious behavior rather than “everything” to avoid overwhelming instructors with trivial alerts. And with most providers now embracing a privacy-by-design approach, students can feel more at ease knowing their data isn’t being misused. When done thoughtfully, online proctoring creates a win-win: integrity is upheld without derailing the convenience and innovation of online learning.

Human vs AI Proctoring: Finding the Right Balance

A common question that arises in this discussion is the role of humans versus algorithms in exam monitoring – essentially, Human vs AI proctoring. Each has its strengths, and understanding them helps in choosing the right approach (or mix).

Human proctoring (even when done remotely via video call) excels in judgment and personal touch. A trained human proctor can notice if a student is genuinely anxious versus acting suspicious, can give a warning or clarification in real time (“please adjust your camera,” “no headphones allowed, please remove them”), and can adapt to unusual situations. Humans can apply discretion – for example, recognizing that a sudden noise was beyond the student’s control – and thereby avoid penalizing an innocent test-taker. However, humans have limitations. They get tired and might miss subtle cheating cues, especially if one proctor is monitoring, say, 20 camera feeds at once. Fatigue or bias can creep in; a proctor might unconsciously overlook someone they assume is trustworthy or be stricter with others, and some clever cheats might still evade a distracted human eye. There’s also the issue of scale and cost: hiring enough proctors to watch thousands of students around the clock is expensive and sometimes impractical (time zones alone pose a challenge).

On the other side, AI proctoring is incredibly scalable and consistent. An AI doesn’t care if 1000 students are taking an exam or 10 – it can monitor them all with the same vigilance. It’s available 24/7, doesn’t need breaks, and can be more cost-effective for large volumes. AI is great at catching pattern-based cheating: it will never hesitate to flag if your eyes flick to the same corner every 30 seconds (possibly checking notes), and it can do things like instantly verify that the person in the webcam is the same as the ID photo using facial recognition – tasks that are tedious for humans but trivial for machines. AI also treats everyone equally (in theory); it has no favorites or prejudices, and it won’t get bored and start slacking. However, AI can be overly rigid or sensitive, leading to false alerts – e.g., it might flag a curtain moving behind you as “another person present” when it was just the wind, or it might not grasp that a student looking off-screen is just thinking deeply, not cheating. There are also concerns about algorithmic bias: some face recognition algorithms in the past struggled with certain skin tones or lighting, which could unfairly flag people due to technical limitations. And AI cannot truly understand context or intent; it only knows what it’s programmed to consider irregular.

So, which is better? The emerging consensus is that it’s not an either/or choice – it’s about using each for what it does best. As discussed, a hybrid approach often yields the best results. AI serves as the tireless sentry, watching everyone and everything, and then humans step in to review AI’s “findings” and make informed decisions. This approach harnesses AI’s efficiency and the human ability to interpret nuance. In fact, research indicates that such a hybrid model can reach higher accuracy and lower false-positive rates than either method alone. For example, one guide notes that AI-only detection might catch around 90-95% of issues but also throw some false alarms, whereas human-only monitoring might catch fewer total issues (maybe 75-85%) due to attention limits. Combine them, and you can get 95%+ detection accuracy with under 5% false positives. In practical terms, AI might flag something and a human proctor reviews the footage to confirm if it was really cheating – providing a double layer that’s both thorough and fair.

That said, context matters. For a small class or a super high-stakes exam (like a medical licensing test), having live human proctors for the entire session might be worth the personal assurance it provides. Conversely, for a massive open online course with thousands of students in different time zones, AI-led proctoring with human review of flagged incidents is far more feasible. Many institutions are now smartly choosing proctoring methods based on exam type and risk: AI for routine tests, human for special cases, and hybrid for most important assessments. The key is that human vs AI proctoring is not a competition, but a collaboration.

Real-World Examples and Use Cases

To ground this discussion, let’s look at a couple of real-world use cases of online proctoring with AI:

• University Exams: During the COVID-driven shift to remote learning, universities like Example State University rolled out AI-based proctoring for thousands of students. They found that while AI caught many cheating attempts, it also flagged some innocent behaviors. So they adjusted their approach: AI would generate alerts, but a team of academic integrity officers reviewed the footage before any student was accused, ensuring fairness. Over time, cheating cases dropped, and honest students reported feeling more at ease knowing a robust system was in place (and that they wouldn’t be punished for a false alarm without human review). This hybrid approach mirrored the industry trend where roughly 69% of institutions now use AI + human review as their proctoring standard, combining the best of both worlds.
• Certification and Professional Tests: It’s not just colleges. Certification bodies and professional exams have embraced remote proctoring too. For instance, the Duolingo English Test – a popular language proficiency exam – uses fully automated AI proctoring to verify identity and monitor test-takers, allowing people worldwide to certify their English from home. The AI flags any suspicious behavior, and human proctors later review the test sessions. Similarly, in corporate recruitment testing, companies use AI proctoring to screen candidates fairly. One tech firm reported that after introducing AI proctored tests for hiring, they saw a higher correlation between test performance and on-job skills – likely because the results became more reliable when cheating was curbed. These cases show how remote proctored exams enable wider participation (global access, 24/7 testing) without sacrificing integrity. In fact, industries from finance to IT are increasingly requiring that certification exams be taken under online proctoring. The scope of use is expanding: a recent market report noted that while schools and universities still account for over half of proctoring demand, the fastest growth is in enterprise and professional sectors (compliance training, certifications, etc.) that need secure testing for their employees and members. This expansion underlines that remote proctoring with AI is proving effective across different fields.
• Addressing Privacy Concerns: A noteworthy example in the evolution of proctoring is how providers responded to student privacy concerns. Some colleges faced backlash from students who felt an always-on camera was too invasive. In response, proctoring companies introduced features like “record-and-review” modes (where AI records the session for later checking instead of a live person watching you the whole time), and strict data policies where exam footage is stored briefly and only accessed if a potential incident needs review. One university implemented an Honor Code alongside proctoring – students had to agree to an integrity pledge, and the proctoring AI was set to a moderate sensitivity (to avoid over-flagging). This combination actually improved student buy-in; knowing that privacy was respected and that they were trusted to a degree, students reported less stress while cheating incidents still went down. It’s a good example of tailoring the solution to human feelings as well as technical needs.

Each use case teaches an important lesson: success lies in balancing rigor with respect. The technology is powerful, but how you use it – transparently, with clear rules, and with human common sense in the loop – determines whether people accept it. Done right, even skeptics come to appreciate that AI proctoring is like a seatbelt: a bit uncomfortable at first, but ultimately there to protect everyone.

Conclusion: Upholding Integrity in the Age of AI – Our Next Steps

Online education and remote exams are here to stay, and with them comes the responsibility to uphold academic honesty in new ways. Online exam proctoring with AI has emerged as the digital watchdog of the remote classroom, tackling the age-old issue of cheating with cutting-edge tools. We’ve seen how blending AI efficiency with human empathy can address the main problem: ensuring a fair exam for all. By understanding what a proctored online exam means and how these systems work, students and educators can approach remote tests with more confidence and less fear. The anxiety and distrust that once surrounded online exams can give way to a sense of security – knowing that while you’re focusing on the test, an intelligent safety net is focusing on keeping the test honest.

The journey isn’t over, but the path is clear. Institutions must continue refining their proctoring practices, prioritizing privacy and student experience alongside security. Students, for their part, should prepare and embrace these tools as part of modern learning. The end result? Degrees, certifications, and grades that truly mean what they’re supposed to, regardless of whether they were earned in a lecture hall or a living room.

In summary, the integrity of online exams is a challenge we can absolutely meet. With AI and thoughtful strategies, we can detect misconduct that a single human might miss, while avoiding the heavy-handedness of an all-seeing algorithm by itself. The outcome is an online learning environment where honest work is rewarded, and cheating behaviors are caught before they can do harm. It’s about striking that perfect balance – and we’re closer than ever.

Now is the time to act. Whether you’re a university administrator or a student gearing up for remote exams, don’t wait until the problem gets out of hand. Start exploring and implementing robust proctoring solutions today, and educate everyone involved about the process. The sooner we fortify our online exams, the sooner we can all stop worrying about “who might be looking at Google under the desk” and instead focus on what truly matters: learning. In the rapidly evolving world of digital education, maintaining trust is critical – and with the right approach to proctoring, we can ensure that an online exam is just as trustworthy as its on-campus counterpart. Secure your exams now, and keep the value of your education protected – before the gap between cheating and catching up becomes bigger tomorrow.