9 Applications of Artificial Intelligence in Education

Posted by abhinavbhutada on December 17th, 2018

When we think of Artificial Intelligence in Education, we find different schools of thought, where one group supports and the other is strongly against its implementation.

It is universally accepted that education is a sector, where human-to-human interaction is a must. Parallely, the integration of AI cannot be overlooked considering the advantages it could provide.

Let us explore the opportunities AI applications can provide in the field of education here.

The use of Artificial Intelligence (AI) is advancing in every sector at a faster pace including education. It is disrupting the traditional teaching methodology through its learning algorithms. The algorithms indeed are helping the teachers to uplift the students in a more personalized and responsive manner.

The Applications of Artificial Intelligence in Education is offering opportunities for student engagement against the typical four-walled classroom. Though AI cannot replace our teachers, AI applications are used in one or the form today in education. Let us have a broad outlook of these applications.

9 Applications of Artificial Intelligence in Education:

Adaptive Learning:

It is one of the promising application for the benefit of students. AI in schools help the students for adaptive learning by tracking their academic progress, modify the course or its learning pace, informing the teacher about the difficulty in comprehension, and, more.

Automated Grader:

Though automatic grading has a long way to go, several standardized tests are using automatic grading systems.

At an initial phase, the teachers submit graded essays as a sample to distinguish good and a bad essay. The software accumulates the knowledge as it grades more essays and provides specific feedback instantly.

However, the Robo-graders replace a part of the grading system, and human grader is always there for further assessment.

Chatbot:

Students’ evaluation is necessary as it gives a valuable information and also needs an elevation from the existing setup. The AI-driven chatbots seem to be promising in increasing the feedback quality.

The chatbot collects the students’ opinion through a dialog interface as if it is a real interviewer and look reasons too for varied opinions. The system is unbiased.

Chat Campus:

As the name itself indicates, you can chat with AI to know the campus. You can understand the life on the campus like searching a lecture hall, application procedure for the next semester, get assignments, know the cafeteria, parking lot, library, campus events, interviews, and more.

Data Accumulation:

Using previous search queries, Artificial intelligence in education can suggest related content for the students. For instance, if you are looking into preposition part of English grammar, it may suggest further readings on complete parts of speech as a whole, or other parts of speech like Noun, Adverb, and, etc.

Personalized Learning:

It is evident that the pace and needs for learning differ from one learner to another. Accordingly, the learning instructions and approach should vary and optimized for individual benefits.

Artificial intelligence in education can adapt quickly to the individual needs and deliver personalized learning methodologies and activities driven by the learners’ interest. And, it incorporates complex tasks readily and accelerates the learning task too.

Proctoring:

E-learning, the future of learning needs supporting technologies. AI-powered systems ensure the authenticity of the student to take the exam and prevent from cheating.

It can be used for attending competitive exams, school/college admission test, promotions, and, more.

Smart Content:

Smart content creation is already introduced into the primary and secondary school, college, and corporate environment. With the help of AI, the textbooks could be split into small chunks of digestible guides, which is easy to read and understand.

The study guide includes flashcards, MCQs, fill in the blanks, pointers, true/false, chapter summary, and, so forth. For instance: Cram 101, Netexlearning, and, etc.

Virtual Facilitator:

Though virtual humans are not welcomed in the place of a human instructor,  virtual instructors could be used in the educational and therapeutic environment. It can think, act, and react to the students’ queries and act as an assistant for the teacher.

It could be used successfully in remote training programs.

Future of Artificial Intelligence in Education:

No doubt, education in one sector where a human-to-human interaction is a rule, and it is unbreakable in the future too. Though the integration of AI is taking its pace into this sector, it may not develop the human attributes of understanding and responsiveness.

Still, the strength of AI can be explored to a greater extent in regards to closing the gaps of learnings.

The analytics of students’ massive data, smart content providers, tailored learning methodologies, and more could be explored for the benefit of students and teachers alike for a continued and successful learning.  

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