8 Surprising Ways Cloud Computing is Changing Education

Published on: 19 October 2020 Last Updated on: 13 September 2024

Higher education may face a fall in the number of students enrolling during and after the pandemic. Many universities in the UAE and worldwide have taken a different approach to education. Most offer online learning, while others offer online and in-person learning.

Most students will not wait for the end of the pandemic to start or continue their studies; they will study online from anywhere in the world. This will create stiff competition among universities because students don’t have to go to colleges closer to their homes; they can finally study in the best universities.

Understanding Cloud Computing

This is the delivery of computing services such as databases, servers, networking, software, storage, intelligence, and analytics over the cloud (the internet). Companies and other institutions don’t have to own data centers or computing resources; they only have to pay for the cloud services they use. This is affordable and effective when applied in higher education.

Most students will prefer higher education institutions that offer excellent digital services to those with a more traditional approach to education. Cloud computing consulting will help the educational institution elevate the existing education system and deliver remote learning.

How Cloud Computing is Changing Higher Education

Cloud computing is not a new trend that universities have to keep up with; remote learning has always been around. This is about utilizing existing resources and technology to provide better and affordable education.

Here are some ways cloud computing is changing higher education.

1. Textbooks are Expensive

University textbooks can be quite expensive, and not all students can afford them, and the cost rises each year. Some students prefer not to buy textbooks because they have other essential expenses to pay. Cloud-based books, on the other hand, are an excellent solution to this issue.

Digital resources are affordable; this allows most students who are not financially stable to access the same educational materials and resources as other learners. This makes it convenient to study at your dream university in Dubai.

2. Enhances Student Experience

One of the reasons why you should study in a reputable university in Dubai is that it will utilize modern technology in all areas. Digital-based learning can review and improve individual student learning processes. It provides an in-depth summary of learning activities, transforms learning processes to accommodate every individual, and assesses students’ wellbeing.

3. Virtual Classes

Cloud-based software makes it possible for higher institutions to organize virtual classrooms for their learners. This reduces most of the infrastructural costs. Teachers can also create courses and resources for students to use remotely. Virtual exams can reduce expenses and save time for both the teachers and students.

4. Accessibility

Cloud computing is very useful because it makes learning easy and readily available for every student regardless of location or time. You can access resources, learning materials, applications, and course contents at any time. You can enroll in a university in Dubai and participate in group discussions and virtual classes. You are no longer limited by time and location. The good thing is that you can access these resources even on your Smartphone.

5. Updated Learning Materials

College textbooks are expensive; this makes some students forego buying them while others use books with obsolete information. Cloud-based learning allows students to access relevant information and resources without much hassle. This makes learning enjoyable and convenient. Students excel in their studies and become productive members of society.

6. No More Expensive Hardware

Cloud-based resources rely on web browsers and can run on any Smartphone and hand-held devices like tablets. Students and higher learning institutions don’t need to own laptops or computers to access resources.

You can use a basic Smartphone to access learning materials. You don’t need to spend much on external storage devices; you can utilize avenues that provide free cloud-based storage. These platforms can safely store your data; higher education institutions that use this system use a VPN for security.

7. Diversity

Cloud computing in higher education gives students many opportunities. This is beneficial for students who feel left out by the traditional education system. Learners can learn remotely or pursue studies abroad. Professionals who have no time for full-time classes can pursue virtual learning to upgrade their skills.

8. Real-Time Feedback

Feedback is crucial in learning because it enables the instructor to see whether students understand the course. Students’ feedback is necessary; they can provide real-time feedback, allowing the institution and professors to make adjustments to cater to their needs. This shows learners that their voice is heard and appreciated, increasing student experience, which leads to smooth learning and better grades.

Cloud computing can be used in various sectors, including higher education. Students and institutions benefit from this technology in many ways; it reduces expenses for both parties and is more convenient than the traditional education system. The goal is to utilize digital services to provide high-quality education to students. Institutions that have already adapted to this technology will continue to improve education for many students.

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10 Cool Technologies on Private Jets

Fly in Style With the Latest High-Tech Features in Private Aircraft Whether for business or pleasure (or a little of both), owning private jets should evoke a sense of comfort and luxury. To add even more convenience, make sure your jet includes all the latest technology to heighten your traveling experience, no matter where you’re going. 1. Satellite internet Business tycoon Warren Buffett summed it up best when he said, “I can buy anything I want, but I can’t buy time.” Because of the fast-paced world we live in, you can’t afford to go anywhere without the ability to stay connected to life on the ground. Having access to a strong, reliable internet signal while in the air is of the utmost importance. Make sure your private jet is equipped with satellite internet and a strong onboard router. With this option, you’ll be able to send and receive signals through a satellite that is orbiting thousands of miles in the sky. How’s that for high-tech? 2. Plane-wide Wi-Fi As we mentioned previously, having a strong onboard router is key. Your router will distribute your internet signal throughout the jet. This way, you and other passengers on board will be able to have full access to email, shared documents, social media, internet search engines, news outlets, and any other website, just like you would in an office or your home. The best part? You’ll have access to all of this and more right at your fingertips regardless of where you are in your private aircraft. If you’re using your jet for business, this is a must. 3. Streaming media The ability to stream your smartphone screen to an onboard TV or media board is especially useful if you’ll be hosting meetings at 30,000 feet. This is also a must if you’re ever going to have children or teenagers traveling with you. The ability to stream movies-on-demand will keep everyone occupied. To limit the amount of Wi-Fi bandwidth you need to use, you can fit your aircraft with an onboard media server with hundreds or thousands of movies and TV shows. 4. Climate control zones One of the worst parts of flying on a commercial airplane is having no control over your comfort. Either overcrowded and warm or dark and freezing, you can never find the perfect temperature commercially. And let’s be real - those little air jets above your head aren’t exactly effective. When flying on a private jet, you have ultimate control over your environment, including the lighting, the temperature, and who you are (or are not) sitting next to. 5. Heated and cooled seating Technology today is allowing you to take control over your own comfort to the next level. Some jets offer heated seats, just like many cars do. You can also create different climate zones depending on what part of your jet you’re sitting in by having separate controls for temperatures and fans in each seating area. 6. Improved lighting Another vast improvement to private jets is the use of LED lights throughout the aircraft, allowing them to be brightened and dimmed to better reflect natural lighting so you always have just the right amount of light for whatever you are doing. With smart tech, you can have the lighting switch on and off automatically based on rules you define. 7. A comfortable bedroom and bathroom Not all traveling is about getting work done, and you should be able to relax while in the air, just the same as you can in your home. Improved technology has allowed private jets to be built with improved bathroom facilities ranging from a standard toilet and sink to a full-size lavatory, including a bathtub, a shower, or even a jacuzzi. Most personal private jets come with a bedroom suite and even the ones that don’t have reclining seats that allow a more comfortable place to take a quick nap on shorter flights. 8. Advanced AI auto-piloting Technology is not only being used to make your trip more comfortable and productive, but it’s also making it safer. Flight technology allows the pilot to switch on autopilot so that the computer can make all the adjustments for weather and turbulence, resulting in not only a quicker flight but a smoother one as well. Technology also makes it almost impossible for inflight collisions, sending aircraft signals to one another. This way, regardless of whether or visibility, the jet will always know what other aircraft are in its flight path and surrounding area. For the passengers, the advanced AI can show more real-time information on the flight. 9. Synthetic vision systems Enhanced navigation systems are making flying to unfamiliar destinations easier by using synthetic vision systems to create a realistic 3D image of your surroundings. Flying is already one of the safest forms of travel there is, and new and improving technology is making it even safer with continuing advancements and inventions. This 3D tech can be incorporated into your in-flight infotainment systems too, so passengers can see up-to-date information on the flight. 10. Gaming systems For the ultimate in entertainment, why not include the latest gaming systems on your flight? PC systems are the most flexible, but game consoles are easier to install and update. Consider wireless peripherals and keeping all cabling hidden from view. Buying a private jet If you are in the market for a private jet and don’t know where to start your search when looking for an aircraft for sale, be sure to find a reputable seller. Using exclusive, accredited private aircraft brokers are a great option for reliability, as well as for finding the perfect jet to fit your budget and lifestyle. No matter where you find the perfect jet, make sure it comes with the technology features that make sense for your flying needs. In today’s high-tech world, there’s no reason flying shouldn’t be just as comfortable and convenient as hanging out in your own home. Read Also: How Drones Help Us in Our Daily Life? Fly With Saudia Airline For A Pleasant Experience Offer Discounts On Flight Tickets Top Tips for Choosing the Best Private Transfers from Madrid Airport Avoid Getting Stuck at the Airport After Arrival

AI’s Role In Combating Climate Change: A Powerful Tool for Environmental Preservation

Climate change is a big problem for our planet right now. The Earth is getting hotter, ice at the poles is melting, and we're seeing more crazy weather happening. We really need to find ways to fix this, and fast. Luckily, AI is stepping up to help out. Let's see how AI is being used to tackle different parts of this tough issue. An AI ML Course can help you learn how to use technology to tackle climate change. With this certification, you'll understand how to apply AI tools to analyze data, predict weather patterns, optimize renewable energy systems, and develop innovative solutions to combat environmental challenges. This knowledge and skill set will enable you to contribute effectively to efforts aimed at addressing climate change and creating a more sustainable future. Let’s continue reading. Understanding The Impact Of Climate Change The weather on Earth is changing a lot because of what people are doing, like burning fossil fuels, cutting down trees, and doing industry stuff. These things let out gases that make the air warm up, which we call the greenhouse effect. These changes are affecting everyone around the world already. It's getting warmer, which makes ice in places like the poles melt, and that raises the level of the sea, which is dangerous for places near the coast. Also, there are more extreme weather events like big storms, long dry periods, and really hot days, which hurt nature, farming, and people. According to the Intergovernmental Panel on Climate Change (IPCC), without urgent action to reduce greenhouse gas emissions, global temperatures could rise by 1.5 to 2 degrees above pre-industrial levels by the end of the century, with catastrophic consequences for the planet. Here are some recent data that present concerning trends regarding environmental changes: Global temperature increase: Over the past century and a quarter, there has been a discernible uptick in the Earth's mean surface temperature, amounting to an approximate increment of 1.2 degrees Celsius. Ice melt observation: Studies indicate a notable decrease in Arctic sea ice, with a reduction rate of approximately 12.85% per decade. This phenomenon has adverse implications for various Arctic fauna, notably polar bears, and their habitats. Sea level elevation: Observational records demonstrate an elevation in global sea levels by around 8 inches throughout the last century. This rise poses significant threats to coastal regions, their populations, and the delicate ecosystems they harbor. Escalation in extreme weather events: There is a discernible increase in the frequency and severity of extreme meteorological occurrences, encompassing hurricanes, droughts, and wildfires, among others. These events bear substantial repercussions on human societies and natural environments alike. How AI Can Make A Difference AI includes different technologies that copy how people think to study data, recognize patterns, and make decisions. Using AI for climate change can bring new ideas in areas like energy, transportation, farming, and watching the environment. Here's how AI can make a difference: 1. Predictive Analytics AI programs can look at lots of information to guess what the weather might do and determine what might happen more accurately. They do this by studying past weather records, pictures from satellites, and other things like that. This helps predict things like storms so people can prepare and try to stop bad things from happening. 2. Renewable Energy Optimization Switching to cleaner energy like solar, wind, and water power is really important to reduce pollution and fight climate change. AI helps a lot in making these types of energy work better and more reliably. For example, AI algorithms can analyze weather patterns and energy demand to optimize the operation of solar and wind farms, ensuring maximum energy production while minimizing costs and environmental impacts. Additionally, AI-powered predictive maintenance can help prevent downtime and extend the lifespan of renewable energy infrastructure. 3. Climate Modeling And Prediction AI can help fight climate change by figuring out the weather. For instance, smart computer programs can look at tons of information from satellites, weather stations, and buoys in the ocean. They use this data to guess what the weather might be like in the future. With these programs, scientists can learn more about why the environment is changing and what might happen next. By using AI to guess what might happen based on past records like temperature changes, rain patterns, sea levels rising, and crazy weather events, people who make decisions can plan better to stop bad things from happening. 4. Precision Agriculture AI-powered agriculture technologies enable farmers to optimize resource usage, minimize environmental impact, and increase crop yields. AI systems can recommend precise planting schedules, optimal irrigation techniques, and personalized fertilizer applications by analyzing soil data, weather patterns, and crop characteristics. This enhances agricultural productivity and reduces water consumption, pesticide use, and greenhouse gas emissions associated with traditional farming practices. 5. Environmental Monitoring AI-based monitoring systems can track environmental indicators, such as air quality, deforestation rates, and wildlife populations, in real-time. By analyzing satellite imagery, sensor data, and social media feeds, these systems can detect environmental threats, illegal activities, and ecosystem changes, allowing authorities to take timely action to protect biodiversity and natural habitats. 6. Climate Adaptation And Resilience AI can also help improve adjustment and resilience to climate change. As the impacts of climate change become more severe, communities must be prepared for and respond to events such as floods, droughts, and heat waves. Tools powered by AI can contribute to better early warning systems for extreme weather conditions, which can enable authorities to evacuate people at risk and allocate resources more efficiently. Furthermore, there are AI-supported tools for assessing risks and planning, which will help in identifying vulnerable areas and developing adaptation strategies for changing environmental situations. 7. Energy Efficiency And Conservation Improving energy efficiency is another vital element of the climate change fight, as it lowers the demand for fossil fuels and the amount of carbon emitted. In such a case, AI technologies would be capable of assisting in uncovering possibilities to save energy for buildings, transportation, and other sectors. An AI system analyzing data about energy consumption, equipment operation data, and environmental surroundings can detect inefficiencies and propose options to reduce energy consumption and waste. These solutions may comprise installing more efficient appliances, screening HVAC systems, or implementing smart heating and lighting solutions. Real-World Applications Of AI To Combat Climate Change Using AI to help fight climate change is already making a big difference in many areas: Capturing Carbon: AI helps industries capture and store carbon dioxide underground, which helps reduce emissions. Smart Energy Systems: AI makes energy distribution smarter by balancing how much energy is produced and used. It also helps use more renewable energy and reduces energy lost during transmission. Money for Climate Projects: AI tools help investors find good ways to invest their money in projects that help the environment. They can also see how their investments affect the climate. Helping in Emergencies: AI-powered drones and robots help out during disasters by finding people, checking how bad things are, and bringing help to places that need it. The Way Forward While AI holds immense potential in the fight against climate change, its effectiveness depends on collaboration among governments, businesses, researchers, and civil society. Key priorities for leveraging AI include: Data accessibility: Promoting open access to environmental data and supporting data-sharing efforts to drive AI research and development. Ethical considerations: Addressing concerns around AI ethics, such as data privacy, algorithmic bias, and possible side effects of the technology, will foster trust and responsibility in artificial intelligence-operated systems. Capacity building: Investing in education, training, and skills development to help enable people and organizations to use AI capabilities for climate purposes. Policy support: Develop policies and regulations that encourage AI technologies, boost and facilitate innovation, and ensure international collaboration on climate issues. Conclusion Climate change is a big problem we face today. We need to act fast worldwide, in our countries, and even in our communities. AI can help us a lot. It gives us tools and technology that can help us understand climate change better. With AI, we can predict and lessen its effects. It can also help us move towards a future that's more sustainable and able to bounce back from challenges. Using AI, we can work on the reasons behind climate change. This helps us protect the health and happiness of people now and in the future. Read Also: From Dreams To Reality: A Comprehensive Beginner’s Guide On How To Buy A Farm A Viable Alternative to Wild Fish: Can Salmon Farming Be Sustainable? Here Are a Few Reasons Why You Should Use Real Estate Farming Postcards to Increase Visibility of Your Business

Process Mining and Data Privacy – Key Points to Remember

The global pandemic of 2020 was challenging for frontline workers, the public, and businesses. Besides a dwindling economy, governments and organizations suffered various setbacks, including exponential data thefts. Security incidents became more costly and harder to contain for the latter due to a drastic operational shift. As per experts, the cost of a data breach reached a record high, shelling $4.24 million per incident on average from affected ventures. As more businesses migrate to the digital world, data security becomes a reason for severe migraine for owners. Keeping the incidents and the present situation in mind, the European Union introduced the General Data Protection Regulation (GDPR) for improved data privacy controls for EU citizens. GDPR requires a thorough evaluation of every software application before its implementation to prevent possible data breaches and loss of customers, employees, and corporate data. Automatically, business process management solutions, like process mining, RPA, automated process discovery, and others, fall under the tight scrutiny of GDPR data privacy guidelines. Process Mining in Business Process Management – A Brief Overview Process mining is an intelligent technology solution enabling owners to build a reliable visual map of business processes elaborating how every task within a process is executed. It captures employee-software system interactions and converts data into event logs. This provides an overview of end-to-end processes. Process mining tools provide task and process insights to evaluate task executions for scaling improvement opportunities. These insights also support informed decision-making pertaining to process efficiencies and complexities. Process mining bridges the gap between traditional model-based processes and data-centric processes for further analysis. There are three basic types of process mining; namely, process discovery to discover a process model capturing the behavior in an event log (collection of events), conformance checking for identifying commonalities and discrepancies between a process model and an event log, and process re-engineering to improve a process model using event logs. In a human-centric process, each event comprises a case identifier, an activity name, a timestamp, and optional attributes such as resources or costs. Usually, a case identifier refers to individuals and includes much personal data. And herein lies the significance of improving data security. The Importance of Data Security in Process Mining Automated process mining relies heavily on enterprise data and captures confidential information about the company or the clients. Data collected during the mining of processes are categorized under the following datasets: Key identifiers: These datasets contain unique information identifying individuals, such as their full names and social security numbers. Quasi-identifiers: These datasets are considered indirect identification of individuals—for example, gender, age, and postal code. Sensitive attributes: Information related to salary, payment, financial statements, and others are private and sensitive for individuals or companies. Insensitive attributes: These datasets contain general or non-risky information not covered by the other features. Given the confidential and sensitive nature of the above-mentioned data, attention to cybersecurity in process mining has gained momentum recently. Also, third parties can offer the latter; therefore, choosing providers with secure products and processes is equally crucial. Any breach in data security can prove costly for the company owners and tarnish customer/client/partner relationships. But the shared responsibility of protecting critical information should rest upon employees. After all, it is said that the usual source of security incidents are current employees and, in certain instances, ex-workers. Respective teams, while handling information, should protect sensitive data at every step of task execution. In order to achieve the same, decisions regarding data transparency and usage should be made aforehand. Most specifically, such decisions involve the type of data used, data extraction methods, data accessibility, data protection, and compliance requirements. On the other hand, process mining can be leveraged to detect silent internal attacks on data. It can quickly identify abnormal behavior in the company’s internal network and indicate apparent security breaches. Therefore, data is integral to process mining, and the security of which should be the core objective of software applications and associated teams. Key Privacy Metrics in Process Mining In order to evaluate the privacy of specific data, owners should decide on particular metrics for measurement. These privacy metrics tally the security level of each data in terms of disclosure and are broadly categorized under the following sub-heads: Bounded knowledge: Data is restricted with specific rules to avoid disclosing confidential information. Need to know: The unnecessary data is eliminated from the system to prevent any breach. This metric controls data access. Protected from disclosure: Data confidentiality is observed during data mining using the classification method. Data quality metrics: These metrics measure the loss of information/benefit, while the complexity criteria validate the efficiency and scalability of different techniques within this scope. Process Mining and Data Capture – Key Points to Consider Since process mining extracts granular data at the process level, care is taken to ensure that any new process doesn’t come into conflict with personal data policies. Owners should also ascertain that software solutions for mining processes comply with the specific data security requirements. Therefore, people involved with the entire system must consider a few data capture points. Access to raw data: The process mining team requires access to corporate data to understand what’s most important for analysis. Here, the company can choose and grant access to specific datasets for further research. Choose the right strategy: Besides mining processes for raw insights, the team also translates the raw data into broad terms and updates it into dashboards. Later on, the respective team can decide what features to focus on. Filter: Occasionally, the company tracks information that doesn’t require further analysis for specific processes. In this case, the data can simply be omitted from the system. Datasets that are sensitive or do not directly impact the business analysis outcome are deleted to maintain the focus only on valid and relevant data. Pseudonymization: Encrypting the information to protect the confidentiality of sensitive information prevents users from correlating them to real data specific, like specific names, addresses, or other PII data. For instance, if the company wishes to maintain secrecy about employees directly involved with process-related tasks can follow this approach. Here, the case identifier’s name is replaced with numbers. Anonymization: This is similar to pseudonymization, where the names are replaced with unique pseudonyms instead of numbers. Hence, unauthorized users cannot identify individuals’ names or confidential information about them from the available data. Conclusion Besides handling data in bulk daily, enterprises using online systems leave behind their digital footprints. These footprints are valuable data captured by process mining to examine how employees execute each process and sub-tasks. Needless to say, mining for such insights is done with the company’s best interests in mind, namely, to optimize operations and resources and derive maximum value. However, such datasets carry sensitive information of various interested parties, any breach of which can prove highly hazardous for all. Therefore, data is the primary source for process miners to carry out their objectives, but the company must ensure the data is handled with care. Hence, data security is a significant factor in process mining. Have A Look :- How to Get Copy of a Divorce Decree 7 Secrets To Make Your Baby Fall Asleep Faster All That You Need To Keep In Mind Before Selling On Facebook

8 Surprising Ways Cloud Computing is Changing Education

Understanding Cloud Computing