AI has the potential to provide a wide range of benefits for education. One of the most significant is the ability to personalize each student’s learning experience. With AI, educators can analyze student performance and preferences data to create customized lesson plans and assessments that align with each student’s unique strengths and weaknesses. Additionally, AI can automate administrative tasks such as grading, freeing up time for educators to focus on other important aspects of teaching.
Future of education with artificial intelligence
AI-based solutions offering personalized learning are about to transform not just the school curriculum but the very foundation of the education sector. Below we describe some of the expected changes that we may see in the coming years.
Tracking and analyzing student’s performance
Gathering large datasets on students’ performance for different courses, AI-based platforms are able to analyze and provide valuable insight for teachers and mentors. Combining the indicators of time taken to complete a certain course and performance on individual assignments, teachers can tweak lesson plans accordingly to match the needs of any student.
Collaborative learning
In a class of 20-30 students, each one has different characteristics, personalities, and learning capabilities. With the help of AI-based tools in the classroom, teachers can identify and bridge the knowledge gaps of every student. Such information can help customize courses, assignments, etc. This also creates an open environment for students to collaborate with each other on tasks without any boundaries.
Creating a gamified experience
Understanding tough concepts in science, physics, and other complex subjects will become easy with gamification techniques powered by AI and virtual reality. By giving students first-hand experience of such phenomena, teachers can help them not just understand the material but also improve retention. These tools can also be used to instill morals and develop students’ emotional intelligence which could otherwise be tough to accomplish with traditional methods.
Examples of Artificial Intelligence in Education
Adaptive Learning: “Used to teach students basic and advanced skills by assessing their present skill level and creating a guided instructional experience that helps them become proficient.”
Assistive Technology: AI can help special needs students access a more equitable education, for example by “reading passages to a visually impaired student.”
Early Childhood Education: “AI is currently being used to power interactive games that teach children basic academic skills and more.”
Data and Learning Analytics: “AI is currently being used by teachers and education administrators to analyze and interpret data,” enabling them to make better-informed decisions.
Scheduling: Helping administrators schedule courses and individuals to manage their daily, weekly, monthly, or yearly schedules.
How AI is Affecting Education
Technology has always played an important role in education, but its current use is more prevalent than ever thanks to the increased availability of smart devices and web-based curriculum. With the rise of Artificial Intelligence in education, there are many different ways it is being used to help students learn. Here are a few technologies with AI that are already affecting and will affect education in every way:
Chatbots
Chatbots are one example of AI. It is the future of all technical cores. Chatbots are being implemented increasingly in classrooms where students use laptops or iPads to chat with bots. It is designed to help them absorb specific subjects like reading comprehension or math. Chatbot has the potential to do more than just teach students new concepts. They can also help in the analysis if required. It reduces the burden of tasks assigned to the teachers. It can also swap email communications between parents and teachers as well as parent meetings.
Virtual Reality (VR)
One recent innovation in education is virtual reality, which is being used for everything from teaching history to helping students with math skills. Virtual Reality is a three-dimensional computer-generated environment that people can explore and interact with. VR educators are finding new ways to integrate experiential learning into their classrooms, truly shaping what it means to be a student. VR is a great way to help students feel connected to each other. When they are indifferent classrooms but using the same virtual reality program, they can communicate safely while still being separated by distance. With Virtual Reality, students can explore things that they may never have the opportunity to see or learn about in real life.
Learning Management System (LMS)
In this era of technology, it becomes mandatory to stay up to the minute with technological advancements in education. AI incorporated with LMS offers a centralized, insightful system for handling all of the online functions of a school. These can be implemented for several purposes. Although they are commonly used to perform the following:
- Coursework assignment
- Communication with parents and students
- Tracking the progress of the students
- Generating reports on student performance
10 Artificial Intelligence (AI) in Education Examples
Robotics
Robotics with Artificial Intelligence in education has increased over the last few years. It is now being used by both teachers and students to help in education, which can be seen to improve student engagement and safety. With AI’s current development, robotics in education is inevitable. Robots can be an excellent resource for learning for both students and teachers – a way to explore a topic in-depth without getting bored. For teachers, this means robots can provide a way to have more one-on-one time with students who need additional help. It also allows them to experiment with new ways of teaching, which is essential when trying to reach different types of learners. For students, it’s a chance to teach themselves something new without the pressure of being the only person in class or having their peers judge them for making mistakes.
