Artificial Intelligence (AI) is becoming a versatile and important tool for different industries, including education. Gone are the days when learning was about reading large textbooks and attending long hours of lectures. In this digitalized society, AI is changing the way we learn and absorb information. It functions as a tutor, and you can get access to it 24/7.
Whether you are a student seeking to pass your exams or a teacher aiming to improve your skills in your field, this article is for you. We’ll discuss how Artificial Intelligence (AI) is shaping the educational landscape, making it more interactive, efficient, and highly personalized. From Intelligent tutoring systems to adaptive learning, you will learn how to boost your learning with the help of AI.
Let’s now explore the six different ways you can learn with Artificial Intelligence today.
How Artificial Intelligence is Boosting Learning Today
The following are six top ways AI is boosting learning:
1. Analytics
Going through large student data is a hectic task, however, it can provide important insights into your student’s performance and learning abilities. Using AI-automated analytics can simplify the process of analyzing large amounts of student data.
Teachers get to use this information to track their students’ performance better and provide support to students who fall behind. Students can also use the data to track their learning abilities and make necessary changes.
2. Personalized Learning
Everyone has different ways of learning. Some are auditory learners, while others are visual learners. Given that people learn at different paces, it is better to experience personalized learning, isn’t it? This can be a hassle if schools or teachers decide to do so manually, which is where AI comes in.
Artificial Intelligence can analyze large data quickly and develop personalized lessons for each student. AI can also give teachers detailed info about their students based on this analysis. For instance, it could suggest which student requires more attention than the others.
AI can help schools plan, schedule, and produce lessons for their students, making the entire learning experience rewarding. This gives teachers enough time to concentrate on other important tasks.
3. Automated Grading System
Many teachers will agree that grading tests and examinations can be a tedious task in schools. However, with the help of AI, this can be made easy. Machine learning algorithms help evaluate tests, assignments, and essays with great efficiency and accuracy, saving teachers time.
AI doesn’t only save time but also makes sure there is consistency in grading and eliminates bias teachers may have when marking. Artificial intelligence goes further in providing teachers and students with personalized feedback on how to improve and do better.
Although AI tries to create a bias-free grading system, there might still be bias in its algorithm. This is because ML algorithms are trained on human data which can have certain biases. Therefore, there is still a lot of research to make AI bias-free in this regard.
4. Intelligent Tutoring System
Also known as ITS, these computer systems are operated by ML algorithms to provide adaptive and personalized lessons based on different student needs. Intelligent tutoring systems help schools analyze student’s data and use this information to provide feedback, lessons, and custom suggestions that suit every individual needs. ITS helps students study and learn new theories and concepts at their own pace.
A study by the Institute of Education Sciences (IES) and the US Department of Education saw that ITSs can support student literacy through reading comprehension and writing practice. However, it has been a challenge to implement ITS in schools as the study shows. But with the help of natural language processing (NLP) techniques, AI can assess students’ level of writing proficiency or comprehension or writing proficiency and subsequently improve literacy.
5. Adaptive Learning
This is an AI methodology that involves the use of custom learning activities and resources to help each student. This is mostly used in e-learning. It is done through analysis of each student’s performance data, and then the information received will be adjusted to optimize learning.
Adaptive learning does more than optimize learning. It saves time by removing unnecessary information and focusing on areas students might find difficult. Teachers can focus on supporting their students and students will learn at their own pace.
Kent State University has integrated adaptive learning into its mathematics development program. With the help of ALEKS, a powerful artificial intelligence (AI)-based assessment software, students can take exams based on their strengths and weaknesses.
Schools are not the only ones adopting adaptive learning today. Language learning apps like Memrise and Duolingo are using adaptive learning in their lessons. Users can learn a new language at their own pace and understanding.
6. Smart Online Assistants
Planning daily lessons and organizing schedules can all be automated by artificially intelligent smart assistants. These virtual assistants take on recurring administrative activities, giving teachers enough time to focus on other important tasks like interacting with their students and teaching.
Also, smart online assistants provide personalized feedback to teachers about their students, monitor students’ progress, and give additional resources based on each student’s needs. By using AI online assistants, teachers simplify administrative tasks and focus on making the student learning experience better.
Conclusion
In conclusion, AI is here to boost learning and make it an interactive, efficient, and highly personalized experience. The impact of Artificial Intelligence is highly profound It is boosting learning in the six key ways mentioned above, however, it is important to note that AI also comes with certain downsides.
Artificial Intelligence can not replace human empathy, which is a key quality in the human learning process. Also, AI tends to be biased due to human errors. As a result, AI integration in Education must be done by considering both its benefits and disadvantages.
Embracing AI in learning holds the promise of a personalized and brighter future for the education system.
