8 Surprising Ways Cloud Computing is Changing Education

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

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.

Read also:

Content Rally wrapped around an online publication where you can publish your own intellectuals. It is a publishing platform designed to make great stories by content creators. This is your era, your place to be online. So come forward share your views, thoughts and ideas via Content Rally.

View all posts

Leave a Reply

Your email address will not be published. Required fields are marked *

Related

type c cable

What is Type C Cable, and Is It Worth Buying

Nowadays, type-c cable can be seen in the newest phones, laptops, and tablets. The cable was first published in 2014, but the technology became handy only in 2017-18, and it replaced the older standards of USB very quickly. According to some reports, type c cable also offers new audio standards as a potential replacement for a 3.5 mm audio plug. The type C cable looks almost the same as a micro USB connector from a distance, but it is slightly thicker and more oval in shape. The thicker design brings its best feature which is unflappability. Until now, the standard cable for us was the type of cable. We have even moved from USB 1 to USB 2 then USB 3 devices, but the USB connectors stayed the same. Fortunately, with the help of technology, we get type C cable that is much more powerful and easier to use than the old cables. Difference between type C cable and the old USB cable: The primary difference between the old USB port and the type C cable is the reversible connector feature. Both ends have a connector of the same size so that you can plug it in any way you want. The one end of the Old ones are bigger and rectangular shape connectors that we use two plugs in two game consoles, desktops, and giant-screened laptops, and the other end was used to connect to small devices like phones. These two ends of the same cable are called type A and type B. Advantages of type C cable: It is compatible with USB 3.1 specifications, which makes it much more efficient in data encoding, and hence, it can transfer data at a speed of 10Gbps. Type C cables are commonly used for charging portable devices. And with this type of cable, charging is much faster than the old ways. In many ways, type C is much better than micro USB. For instance, type C can be used for both input and output power, where micro USB can only input power. Generally, type C uses 18 watts to charge phones and a maximum of 100 watts to charge laptops. The type C cable can indeed perform faster than the others, and along with that, it is also the strongest one. This is why, for most people, type C cable is much more reliable. Why should you use a type C cable?  Type C cable sets a new standard for USB connectors. It can carry a significantly high level of power and can be used to charge almost every device, and devices can be charged much faster. Along with that, type C cable also offers you a high transfer speed that can transfer 4K videos. The most amazing part about the type C cable is its size. The cable is almost half in width and one-third in the height of a standard USB cable, making it even more user-friendly. Read Also: Headphones vs Earbuds: How to Choose for the Best Music Experience Google Getting into Phones – And It’s Changing The Mobile Internet Everything You Need To Know About Mobile Solar Generators Reduce Your Exposure to Radiation When Using Your Mobile Phone Practical Guide to Install Cabling in Your New House

READ MOREDetails
Construction Technology

3 New Age Engineering & Construction Technology

As technology continues to improve, we could expect that it would continue to transform the construction industry for the better. There will be remarkable improvements in terms of safety, efficiency, mobility, collaboration, and many more. The new age of engineering and construction technology would make way to more significant innovations, and to support that, here are the 3 modern age engineering and construction technology to look forward to. 1. Mobile Solutions for Onsite Execution: More often than not, some of the most significant problems in the construction industry take place onsite. This leads to the development of different mobile solutions that could integrate workflows, improve productivity and safety, and best of all, ensure the attributes in the field. There are also innovative tools that focus on field productivity, and it provides numerous capabilities that allow real-time tracking of crew deployment, project staffing management, onsite productivity, and monitor worker level strictly. One great example of this would be the active tools that are capable of tracking the working hours every time the members are onsite, and this was made possible because the data being analyzed with wearable GPS devices, construction signs, and the like that allows construction workers to input information regarding their activities, working hours, location, and many more. Aside from that, there are also technologies that allow construction workers in the field, or anywhere else to have remote access to the central unit and be able to evaluate crucial project information in real time. This could lead to higher productivity, and it would also eliminate irrelevant data handling. There are also various work applications that allow companies to pull off project staffing among workers. With onsite execution, it also leads to an improvement in terms of safety. The solution includes various tools that allow real-time reporting and tracking of safety concerns and incidents through workers putting in data onto mobile devices, such as tablets, smartphones, and the like. This promotes a faster response to issues, and it also provides better data for users. Likewise, there are a lot of solutions that allow safety warnings and tips to be part of the whole workforce which are delivered through real-time alerts. Even quality assurance is affected positively. Project managers can now check remote sites through photos take in the field and tagged with several information, such as geographic coordinates while workers in the field update and track everything in real time. The function of GPS during projects is also promoted. This usually includes transportation and other aspects that are part of the on-site execution. Through this, construction experts believe that there would be better quality-control systems through the combination of AI and new technologies with other tools like GPS and BIM. 2. Digitization of Almost Everything: There's a wide range of innovative solutions that are being developed to promote back office functions and if possible, use this to exploit useful project data. A lot of these tools focus on offering project managers, as well as the staff members real-time access to back-office data through the use of their mobile devices. Some of the most critical components of back-office integration solutions include managing equipment, scheduling, materials, data planning, and so on. With scheduling solutions, tasks can now be worked on, assigned, and delivered in real time. What does this imply? Everything could be provided in real time, wherein the workers would be able to save their valuable time. There are also tools for materials that make it possible for necessary construction materials to be easily identified, located, and tracked across the whole supply chain through GPS tracking, or even with the use of mobile data input. Furthermore, equipment management solutions also allow monitoring and management of the construction-equipment fleet. 3. Digital Collaboration Made Possible: There are various parties involved with successfully working a construction project. Included in this are the engineers, project managers, and construction workers. It's essential for them to communicate frequently to ensure that they're on the same page. With mobile solutions, it allows a more effective collaboration, and it also provides that the entire party would have the idea of what exactly is happening in the construction site. Aside from that, there are also state-of-the-art management tools that managers can use to easily share information with other workers during the pre-construction and construction phases. Read Also: How Does Fibre Optic Technology Work Best Uses For Stainless Steel In Construction 5 Ways Construction Businesses Can Gain New Clients Timber! 8 Facts About Log Cabin Construction You Should Know

READ MOREDetails
Python For Robotics

Python For Robotics: Programming And Controlling Intelligent Robots

In the dynamic world of technology, the synergy between programming and robotics has paved the way for incredible innovations. Python, a versatile and user-friendly programming language, has emerged as a powerful tool for programming and controlling intelligent robots. This article delves into the fascinating realm of robotics powered by Python, exploring how this language is transforming the field and enabling the creation of advanced robotic systems. The Role Of Python In Robotics Python's popularity in robotics is attributed to its readability, simplicity, and rich ecosystem of libraries that streamline development. As robots become more sophisticated and capable of handling complex tasks, the need for a programming language that can handle diverse functionalities becomes paramount. Python fits this requirement perfectly by offering libraries that cover everything from machine learning and computer vision to control systems and sensor integration. Creating Robot Behaviors With Python One of the fundamental aspects of robotics is programming robots to exhibit desired behaviors. Python's concise syntax and extensive libraries make this process intuitive and efficient. Through libraries like pyRobotics and ROS (Robot Operating System), developers can write code to control robot movements, manipulate objects, perceive the environment, and interact with humans. Python's adaptability is particularly evident in simulation environments like Gazebo and V-REP, where developers can model, test, and visualize their robot behaviors before deploying them to real hardware. This iterative process helps in refining algorithms and reducing errors during the physical implementation. Computer Vision And Perception Python's prowess in computer vision has revolutionized robotics' ability to perceive and understand the world around them. Libraries like OpenCV and scikit-image enable robots to process images and videos, enabling tasks like object detection, tracking, and even facial recognition. With these capabilities, robots can interact with their surroundings, identify objects, and make decisions based on visual data. For instance, Python's computer vision capabilities are instrumental in applications like autonomous vehicles, where robots need to detect and interpret traffic signs, pedestrians, and other vehicles to navigate safely. As the field of robotics continues to expand, finding skilled Python developers who can harness these capabilities to develop innovative robotic systems is crucial. If you're seeking to build a team of adept Python developers for your robotics projects, you can explore potential candidates at https://lemon.io/hire-python-developers/. Machine Learning And Robotics Machine learning is a driving force behind many robotic advancements, from teaching robots to learn from their experiences to enabling them to adapt to dynamic environments. Python's libraries, including TensorFlow, PyTorch, and sci-kit-learn, empower developers to implement complex machine learning algorithms for tasks like motion planning, object manipulation, and even natural language processing in human-robot interaction. Reinforcement learning, a subset of machine learning, is particularly valuable for robotics. Through reward-based learning, robots can learn optimal behaviors through trial and error, making them adaptable to unpredictable scenarios. Python's support for reinforcement learning libraries like Stable Baselines and RLlib facilitates the development of intelligent, learning-based robotic systems. Sensor Integration And Control Systems Efficient robotic systems heavily rely on accurate sensor data and precise control mechanisms. Python's compatibility with hardware interfaces and sensor libraries makes it a suitable choice for integrating sensors such as LiDAR, cameras, ultrasonic sensors, and more. Python's simplicity extends to control systems as well. Whether it's creating PID (Proportional-Integral-Derivative) controllers or implementing complex feedback control algorithms, Python's mathematical libraries and its real-time capabilities allow developers to fine-tune and optimize robot movements and responses. Robotics Simulation And Rapid Prototyping Python's role in robotics isn't limited to physical implementation. Simulation environments like Gazebo and V-REP enable developers to create virtual replicas of robots, test algorithms, and refine behaviors in a risk-free environment. This approach drastically reduces development time and costs by identifying potential issues before they occur in real-world scenarios. Moreover, Python's scripting capabilities enable researchers and developers to automate simulation scenarios, making it easier to conduct large-scale experiments and gather data for analysis. Challenges And Future Prospects While Python offers numerous advantages for robotics, it's not without challenges. Real-time constraints, which are critical in robotics, can sometimes limit Python's performance. However, advancements in libraries like Cython and the use of Python in conjunction with languages like C++ help mitigate these challenges. As technology evolves, the future of Python in robotics looks promising. With ongoing developments in libraries, frameworks, and hardware interfaces, Python's role in creating smarter, more capable robots is set to expand further. Can I Enable A Robot Along With Python?  Up till now, we took you through the basic concepts. But it is time to see how Python is actually helpful for actualizing a robot. Our instances will consist of the following: Python Frameworks Use Case A Vision-based robot for mobile navigation It is easier to use the prebuilt Python and its Robot Programming runtime environment, particularly for Linux or Windows. The Python scripts above are responsible for controlling the robot. The latter can be assembled in various ways.  Robot Assembly It is important to arrange the wheels arranged exactly like a usual vehicle. However, it is equally important to fit ultrasonic sensors at both the front and rear of the chassis. Hence, the camera is mounted at a slightly elevated position right at the chassis front. Do not forget to connect it directly to the Nano. As for motors, there must be a proper interface along with a motor driver.  Robot Programming  Start working on the Raspberry Pi after the installation of the Programming environment. Your primary Python script must import the sonar modules, motor, and camera. We have to utilize a model that already comes with training in the OpenCV-Python association. It helps in detecting multiple images at a single time. Conclusion The marriage of Python and robotics has redefined the boundaries of what robots can achieve. From enhancing perception with computer vision to enabling learning through machine learning algorithms, Python has become a linchpin in the creation of intelligent robotic systems. It has a user-friendly syntax, expansive libraries, and compatibility with various hardware interfaces. This places Python as an ideal choice for both novice roboticists and seasoned experts. Read Also: How to Become a Hacker: X Steps to Follow 7 Advantages of Using Website Design Templates About FuseLab Creative

READ MOREDetails