# AI Role in Education: Personalized Learning and Intelligent Tutoring Systems
Introduction
Artificial Intelligence is revolutionizing a number of industries, and education has not been left behind.
With AI interwoven into educational systems, we can completely revamp how teaching and learning is done; education becomes more personalized at scale, efficient with resources as well incredibly accessible. This article will look at the changing landscape of education due to AI by enabling personalization and intelligent tutoring systems, and what we can expect going forward.
# The Rise of AI in Education.
Artificial intelligence in edtech is more than a trendy subject; it also represents the kind of drastic shift likely required to truly transform how educational information is disseminated and received. Many times the conventional educational methods do not fulfill all students needs. But AI can tailor learning experiences on an individual basis to every student which is also one of the capabilities it has.
# Personalized Learning With AI
1: Adaptive Learning Platforms.
Adaptive learning systems employ the AI algorithms in evaluating the students’ performance and recommend relevant learning material based on that result. Such applications may identify some topic the learner seems to be a bit challenged with or may be increase or decrease the level of the exercise given to match the student’s progress.
2: Customized Learning Paths
AI can also be used in the ability grouping of pupils to form general learning tracks. To be precise, the AI systems have the capability of suggesting which of the strategies will best serve to achieve the given educational goals and at what learning rate they will need to learn to do so. This ensures that the pupils are not just over-compelling with simple subject or equally over-compelling with rather complex materials
3: Real-Time Feedback
Another advantage of using artificial intelligence in education is that it can give responses in real-time. IS can quickly assess assignments, quizzes, as well as much more complex tasks such as those in essays. Such fast feedback helps the pupils learn from their mistakes without any break in action, thus minimizing the learning conflict.
# Intelligent Tutoring Systems With AI
1: Virtual Tutors
Its refers to the teaching systems that are artificial intelligence programmed that deliver learning instructions to the pupils. These virtual tutors may possibly deliver one to one training by imparting knowledge, questions, and guidance for the pupils when getting to the problematic area. Virtual tutors are available all the time, all-year round as is the country and interacting with them does not require any physical effort.
2: Data-driven insights
Other ITSs collect large amounts of information concerning students’ performance. Perhaps this data can be useful to educators to gain information about students’ learning behaviors, identify common misconceptions, and adapt instructional strategies to the existing challenges. These lead to improved teaching & learning outcomes, thus; enhancing the effectiveness of teaching, learning and management programmes.
# Enhanced Engagement With AI
AI may help students remain interested and engaged in the course since the process of learning can be more interactive with the help of AI technologies. Reward system and other features, including tracking the learning progress, is equally applied to intelligent tutoring systems to seek the students’ interest in the learning process.
Possible developments of AI in the society in the future focusing on the education section
AI in the future of education is promising and holds many exciting developments in store for the field.
1. Lifelong Learning: AI will enhance the learning process and education throughout people’s lifetime starting from the periods of early childhood, developing profession.
2. Inclusion and Accessibility: To enhance the number of students, especially of the impaired persons or for those speaking a different language, AI can assist them individually.
3. Global Learning Communities: Global learning communities may be augmented through the help of artificial intelligence so that students from all over the world could communicate and learn together ignoring geographical barriers.
# Conclusion.
Education is expected to be personalised, efficient and enjoyable due to AI in future. It can provide personalized education that caters to the needs of the student through the strategies of adaptive learning system and intelligent tutoring system.
With improvement in AI technological human education appears to be much brighter with future prospects of an enjoyable, fruitful, and easy learning process for anybody.
