Web 3 is also known as the’semantic web,’ ‘3D web,’ or’spatial web.’ It’s all about incorporating new technology into content and developing new ways to interact with our surroundings.
Content will find you on the semantic web. Rather than searching for information using keywords, your activities and interests will determine how information finds you, the format you require, and how it is displayed in your preferred channel.
Web 3 is the culmination of previous phases:
Web 1.0 is a’read only’ environment, in which information is published to a website where users can read and search for it, but there is no easy way to share or interact with it.
Web 2.0 is often referred to as’read and write’ because it includes social networking tools like blogs and wikis. It emphasizes its ability to bring people together, share information, and make communication easier.
It also makes teamwork and collaborative learning easier.
The issue with Web 1.0 and Web 2.0 is that information is chaotic and unstructured, making it difficult to find relevant and accurate data. Web 3.0 has the potential to solve these issues.
Technologies for the Web 3
The following is a quick rundown of some of the most important developments that will alter how people find information.
AI- Artificial Intelligence.
Artificial intelligence refers to self-learning programs that can learn and evolve on their own. For example, users’ habits can be tracked and search results tailored to their preferences can be provided.
Users will be able to enter their preferences and interests, and the computer will tailor and provide information based on these parameters – user profiles will act as a virtual avatar that represents them and their interests online.
The internet of things refers to the linking of everyday objects to the internet. Sensor-enabled and networked devices, such as office equipment, printers, and vehicles, are examples. It means that users will be able to access the internet and manage their data from any location.
Users can interact with their surroundings through virtual environments and augmented reality; search results aren’t limited to text-only inputs; you can also search using 3D objects or images. Interacting with the physical world is possible through interfaces such as smart glasses and voice, which combine the digital and physical layers.
Computing that is not centralized
With Web 3.0, computing power is no longer limited to a few central content servers. Instead, computing power is distributed among several servers. Enterprise Blockchain Consulting Service is an example of this, in which data is distributed across multiple devices. This means that data can be stored safely and that it is not reliant on a single provider.
The Advantages of Web 3 In Education
The ability to find information more easily and quickly with Web 3.0 has a number of advantages, but it also has some drawbacks. First, the advantages:
Reduced costs because machines will be internet-connected and provide knowledge access.
Changes in teaching – teachers will be able to create more complex and engaging assignments with the help of a variety of resources.
As students gain more independence, teachers will have more time to tutor individuals or small groups. There will be a shift away from students consuming content provided by teachers and toward students creating their own content.
Students will spend less time gathering and integrating knowledge while learning. If they have access to the internet, they will be able to learn anywhere and at any time.
Knowledge construction – Search engines will generate a report that incorporates information from a variety of sources. In addition, the report will compare and contrast the information presented, allude to various arguments, and alert users to related topics and resources.
Smart searches – Customized search capabilities will only return information that is relevant to the user, saving time and frustration. Lecture notes, resources, videos, and blog articles will all be included in search engines.
Personal learning network upkeep – Personal learning agents will search for and report only relevant information related to a learning goal. Services that are based on location will send the appropriate information.
Personal educational administration – Use the semantic web to describe courses and degrees so that credits can be transferred easily and students can find universities that will provide them with the knowledge they require. E-learning and just-in-time learning are becoming increasingly popular.
People can work together and interact with people who are geographically separated. Permission is not required for educational content to be used and reused.
Issues with Web 3 and education
Students spend less time gathering information, but these are important skills. Critical thinking, evaluation, and argument are not required when students are given information that has already been synthesized.
When calculators were first introduced, for example, it was hoped that they would relieve students of the burden of manual calculations, allowing them to focus on the solution.
This is true for students who are working on advanced levels of subject knowledge, but they can obstruct the development of basic mathematical skills if introduced too early.
Information tagging – who will tag content and add extra coding to web pages? This takes a lot of time and effort.
Developer bias – When it comes to tagging data, it’s likely that developer bias and perspective will play a role. Even minor changes could result in the omission of important information or the inclusion of information that is only relevant to the developer.
User preferences and online behavior can be misinterpreted and used to filter information in ways that the users did not intend.
Censorship and privacy concerns – a significant amount of personal information will be available on the internet. Data scraping is the process of extracting data from web pages and using it in articles that reach completely different conclusions than the author intended and without giving credit to the author.
If content is not coded, Web 3.0 browsers may ignore it, and it will not become part of the content knowledge of a subject area.
Web 3.0’s Prospects
The ability of today’s web browsers to detect connections between pieces of information that may be useful or valuable is limited. A typical Google search returns hundreds of results, many of which are irrelevant or only tangentially related.
Web 3.0 will use tags or fields to build organized online content, making it easier for a browser to detect and grasp the meaning of data. This necessitates the conversion of web data into’micro content.’
Content managers will need to add metadata descriptions to website content that give it significance and define the structure of existing information about it in order for this to work. As a result, material will be easier to find and more integrated. There are a variety of tagging standards that can be employed.
Natural language search features will be available in Web 3.0, allowing users to ask a whole inquiry rather than a series of phrases.
At the moment, search engines are teaching us how to become good keyword searchers – we are dumbing down our brains to make it more natural for a computer. The key change will be having a machine handle human-like facial emotions.
Web 3.0 promises to make it easier for users to find and connect with information in more meaningful and efficient ways, but at what cost to students’ ability to research and understand information on their own?
To get detailed information, you must connect with a Best Web 3 Platform Development Company. Understanding the benefits and drawbacks of Web 3.0 is the first step toward figuring out how to maximize the benefits while avoiding the risks of deskilling students and reducing their ability to assess the value of information for themselves.