Thanks to recent breakthroughs in technology, artificial intelligence (AI) is now a part of our lives. This technology is now being used in almost every field of both private and public sectors. Education is among these sectors where AI is offering many opportunities:
- enable new ways of learning, teaching, and education.
- generate insights on how learning happens.
- change the way learning is assessed.
- re-organize classrooms.
- increase the efficiency of teaching.
As a sub form of AI, conversational AI is widely used in education. By enabling a natural dialog between humans and computers, conversational AI contributes to a smooth interaction which is a must for effective education. With the help of natural language processing, conversational AI understands what users (students) mean and provides better answers to their needs as if they are interacting with a human.
AI-Based Teaching Assistants
When implemented in digital assistants, conversational AI transforms them into personal assistants that help users accomplish different tasks. By allowing a natural interaction, these technologies make the life of students and education professionals easier.
For example, Staffordshire University offers a virtual assistant for students. Students can interact with the assistant by text messages or voice commands. They can search for professor information, check lecture schedule and get answers to their questions covering topics like facilities and support services.
AI-based teaching assistants contribute to the education of students by improving their grades. For example, At Slackwood Elementary School in New Jersey, 60% of students scored a preliminary benchmark math score of 9 out of 48. After one year of using Happy Numbers, an AI-assisted teaching assistant, nearly all the students improved their scores to 35 points.
Benefits of Conversational AI
1) Personalized Learning Experience
With the help of conversational AI, educational institutions can offer personalized content for students based on their background and interests. Thanks to natural language processing, students can interact with this technology by using their own words as if they are talking with a human. By hearing students’ words and providing them individualized feedback, conversational AI adjusts learning pace based on each student’s needs.
2) Enhanced Teaching Methods
Conversational AI empowers teachers with data-driven insights. They can easily find out which content is more appropriate for students and offer personalized learning activities with customized lesson planning. These not only lead to a deeper learning experience but also help students understand lessons and course concepts better.
AI technologies also improve testing and feedback mechanisms. This helps teachers to track the progress of each student better. They can easily identify gaps in knowledge and apply useful methods that work for students’ specific training needs. When used in automatic test generation and assessment, AI technology reduces teachers’ workloads. For example, students’ homework can be checked by an AI system that combines individual student history with peer responses.
3) Automated Administrative Tasks
Educators lose tremendous time with administrative tasks. AI can step in and perform these tasks easily in record time. By automating administrative tasks, AI provides more time and energy for education professionals to spend with each student.
For example, admission and registration processes can be automated with AI to minimize paperwork.
4)Support for Students with Special Needs
AI contributes to the education of students with special needs. The technology is especially useful for students who have learning disabilities, communication problems, or lack of social skills. AI helps these students with applications that increase attention span and concentration. Besides individualized training opportunities of AI improves their understanding and conception. With the help of NLP-based applications, students can improve their communication skills by interacting with these apps as if they are talking to a human.
AI technology is also used in the detection of students with special needs. Autism spectrum disorder and attention deficit hyperactivity disorder are among the diagnosed disorders by using AI. For example, Lexplore, a Swedish company, developed an AI-based system that scans for students at risk and detects dyslexia by tracking reader eye movements.
AI revolutionizes the education field by transforming conversational training methods. As a part of this revolution, conversational AI enables a natural dialog between students and training applications in a way that improves the overall educational experience.
Author: Hilal Bakanay, Senior Marketing Specialist, Sestek