6 minute read
AI in Education (AIED)
Education is an important part of life for everyone, and a good education plays a vital role to have a successful life. In order to improve the education system for the students, there are always a lot of changes happening around the world, ranging from the way of teaching to the type of curriculum.
Artificial Intelligence in Education is developing new solutions for teaching and learning for different situations. Nowadays, AI is being used by different schools and colleges across different countries. AI in education has given a completely new perspective of looking at education to teachers, students, parents, and of course, the educational institutions as well. AI in education is not about humanoid robots as a teacher to replace human teachers, but it is about using computer intelligence to help teachers and students and making the education system much better and more effective. In the future, the education system will have lots of AI tools that will shape the educational experience of the future. In this topic, we will discuss the impact and application of Artificial Intelligence on Education. To better understand this topic, let’s first understand what AIED is?
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In the 1970s, AIED occurred as a specialist area to cover new technology to teaching & learning, specifically for higher education. The main aim of AIED is to facilitate the learners with flexible, personalized, and engaging learning along with the basic automated task. Some popular trends in AIED include Intelligent tutor systems, smart classroom technologies, adaptive learning, and pedagogical agents.
Nowadays in the swiftly changing world, time has become a valuable resource. Students spend a huge amount of time skimming through tonnes of information trying to find out what they need. Using conventional approaches like books and lectures is significantly reduced since AI quickly can adapt to
Personalized learning, which develops courses and activities for students specifically tailored to their needs and interests based on information from student data, i. Technology companies like Google are now able to gather enormous amounts of data on each user’s tastes because of advancements in artificial intelligence. This allows them to serve customized content that keeps users on an app or website for longer than was previously thought possible. This would be of massive help for students with special needs. The AI works with each student individually to ensure that they are learning at their best rate while also giving them additional one-on-one time with teachers who could otherwise miss important details when instructing a large group owing to a lack of participation from some students in the class.
Immersive learning is one of the numerous educational possibilities and advantages of artificial Intelligence offered. Ergo, students are provided with real-world experiences they can use on a regular basis outside of class and are given more influence over how they learn.The exponential growth of artificial intelligence in our culture will change education. Especially when you take into account how restricted humans are in comparison to AI’s abilities to assimilate information at an incredibly fast rate while doing accurate computations without making mistakes or growing weary.
Intelligent tutoring systems (ITSs) are one of the innovative applications that reflect the advantages of artificial intelligence in educational platforms. ITSs use computer-based learning environments to assist students in learning, practising, or mastering new abilities by giving them tailored teaching based on how proficient they are with a particular topic or skill set. Personalized feedback gives them immediate knowledge about how well they understand concepts taught in the class and compare their performance with the rest of their peers who are learning via a virtual environment.
Virtual Reality Learning
Virtual reality courses that let users learn while feeling immersed in a new setting or scenario, such as having access to top colleges around the world without ever leaving your seat, have changed this area of education, of which the credit goes to the AI application. Virtual reality will in the future let students engage more deeply with their course material.
Challenges and Concerns of AI in Education
While AI undoubtedly brings many opportunities, there are also serious ethical concerns that need to be addressed. One of them is stimulating plagiarism and making its detection harder. Additionally, student privacy and data security are also under risk.
One of AI’s major abilities is to generate meaningful responses to questions from assessments and exams. However, it is often not possible to attribute the responses to a particular source – making it difficult to detect plagiarism. Another concern is the potential for job displacement in the education sector as technology continues to advance. With the automation of many administrative tasks, there may be fewer jobs available for educators and support staff.
Education should be equally accessible to everyone, regardless of their socioeconomic status or location. With the growing availability of online education and educational resources on the internet, it is important to ensure that all students, regardless of their socioeconomic status or location, have access to these resources.
Preparing teachers for AI-powered education requires time and resources. While younger teachers probably will easily adapt to the changes, the majority of teachers are middle or above middle-ages and they are going to struggle to transition to the new means of teaching.
AI and business today
Rather than serving as a replacement for human intelligence and ingenuity, artificial intelligence is generally seen as a supporting tool. Although AI currently has a difficult time completing common sense tasks in the real world, it is adept at processing and analyzing troves of data much faster than a human brain could. Artificial intelligence software can then return with synthesized courses of action and present them to the human user. In this way, we can use AI to help game out possible consequences of each action and streamline the decision-making process.
“Artificial intelligence is kind of the second coming of software,” said Amir Husain, founder and CEO of machine-learning company SparkCognition. “It’s a form of software that makes decisions on its own, that’s able to act even in situations not foreseen by the programmers. Artificial intelligence has a wider latitude of decision-making ability as opposed to traditional software.”
Those traits make AI highly valuable throughout many industries – whether it’s simply helping visitors and staff make their way around a corporate campus efficiently, or performing a task as complex as monitoring a wind turbine to predict when it will need repairs.
Common uses of AI
Some of the most standard uses of AI are machine learning, cybersecurity, customer relationship management, internet searches and personal assistants.
Machine learning
Machine learning is used often in systems that capture vast amounts of data. For example, smart energy management systems collect data from sensors affixed to various assets. The troves of data are then contextualized by machine-learning algorithms and delivered to your company’s decision-makers to better understand energy usage and maintenance demands.
Cybersecurity
Artificial intelligence is even an indispensable ally when it comes to looking for holes in computer network defenses, Husain said. Believe it or not, AI systems can recognize a cyberattack, as well as other cyberthreats, by monitoring patterns from data input. Once it detects a threat, it can backtrack through your data to find the source and help to prevent a future threat. That extra set of eyes – one that is as diligent and continuous as AI – will serve as a great benefit in preserving your infrastructure.
“You really can’t have enough cybersecurity experts to look at these problems, because of scale and increasing complexity,” Husain added. “Artificial intelligence is playing an increasing role here as well.”
Customer relationship management
Artificial intelligence is also changing CRM systems. Software programs like Salesforce and Zoho require heavy human intervention to remain current and accurate. But when you apply AI to these platforms, a normal CRM system transforms into a self-updating, auto-correcting system that stays on top of your relationship management for you.
A great example of how AI can help with customer relationships is demonstrated in the financial sector. Dr. Hossein Rahnama, founder and CEO of AI concierge company Flybits and visiting professor at the Massachusetts Institute of Technology, worked with TD Bank to integrate AI with regular banking operations.
What does AI mean for the worker?
With all these new AI uses comes the daunting question of whether machines will force humans out of work. The jury is still out: Some experts vehemently deny that AI will automate so many jobs that millions of people find themselves unemployed, while other experts see it as a pressing problem.
“The structure of the workforce is changing, but I don’t think artificial intelligence is essentially replacing jobs,” Rahnama said. “It allows us to really create a knowledge-based economy and leverage that to create better automation for a better form of life. It might be a little bit theoretical, but I think if you have to worry about artificial intelligence and robots replacing our jobs, it’s probably algorithms replacing white-collar jobs such as business analysts, hedge fund managers, and lawyers.”
While there is still some debate on how, exactly, the rise of artificial intelligence will change the workforce, experts agree there are some trends we can expect to see.
Will AI create jobs?
Some experts believe that, as AI is integrated into the workforce, it will actually create more jobs – at least in the short term.
Wilson said the shift toward AI-based systems will likely cause the economy to add jobs that facilitate the transition.
“Artificial intelligence will create more wealth than it destroys,” he said, “but it will not be equitably distributed, especially at first. The changes will be subliminally felt and not overt. A tax accountant won’t one day receive a pink slip and meet the robot that is now going to sit at her desk. Rather, the next time the tax accountant applies for a job, it will be a bit harder to find one.”
Wilson said he anticipates that AI in the workplace will fragment long-standing workflows, creating many human jobs to integrate those workflows.
Janne Hakinnen Local Group Lappeenranta