The Role of Artificial Intelligence in Learning
Regardless of the type of learner you are – whether you’re a student or an employee trying to develop their skills – AI can greatly assist you in the whole process of learning.
More and more schools are adopting the new technology, and47% of executives say they’ve embedded at least one AI capabilityinto their business processes.
Once you took that critical first step of AI adoption, incorporating AI into other aspects of both business and education becomes much easier.
Through a Learning Management System orLMS software, you can incorporate AI into classrooms and offices alike, and derive its full potential.
But what are its potentials? What are the current applications and benefits of AI in learning? Let’s take a look.
Primarily, every organization that’s decided to take advantage of AI uses it for automating various business processes and streamlining their operations. Automating tasks is the primary goal of over 36% of executives. The same is true for learning purposes.
Combining LMS software and AI allows educators, whether they’re teachers or team managers, to free up their time and focus on more important things by automating admin tasks.
Educators often spend inordinate amounts of time grading tests and going through homework. Now AI can do a quick job of those tasks.
At present, AI can help tremendously with multiple choice quizzes and fill-in-the-blank tests. A lot of progress is being made; however, it’s still not adequate enough for assessing written responses in the form of essays.
Soon enough, we’ll have intelligent assistants reading, analyzing, and grading essays as well because this groundbreaking technology is being developed and tested as we speak.
For the time being, teachers and other professionals can rely on automation tools to help them with administrative tasks, and chatbots to assist them in student interactions. An increasing number of schools are adopting chatbots to stay accessible to students 24/7.
When combined with LMS software, AI can provide both educators and learners with much-needed feedback about the success of a course.
Some educational material might have gaps in them and leave the learners uninformed or confused about certain concepts.
When AI is assisting the educator with administrative tasks such as grading homework and tests, it takes note of the common mistakes among the learners.
If a higher number of them makes the same mistake, the educator is notified so that they could adjust the course material, while the future learners would get hints to the right answer.
Since all assignments would be graded almost instantly, the learners could get immediate feedback on their work, be notified of the things they’re doing well, as well as of the things they should work on.
This is significant from the perspective of learners’ retention rates.
By tracking learners’ progress, AI allows educators to address their pain points and knowledge gaps as soon as they appear and are detected. Otherwise, learners would be stuck on learning curves that are based on wrong assumptions and incorrect information.
Adaptive learning programs, games, and software are already being used to assist everyone from kindergarteners to professional learners.
6 out of 10 school-age childrendon’t achieve minimum proficiency levels in reading and mathematics, for example, and AI can help with that.
In short, as the student (or professional) learns, so does the AI. In this case, it learns how a student is advancing, and what are their strengths and weaknesses.
By doing so, AI can respond to the needs of the learner. It can put greater emphasis on certain topics that a learner is struggling with, and it can repeat the things that a learner needs to master.
This educational practice, known as adaptive, individualized, or personalized learning, is not new. Educators have been trying to create learning conditions in which every student would be treated as an individual, and they’ve repeatedly failed.
