AI And Machine Learning

The influence of Information Technology on every field in our world today including the education industry cannot be underestimated.Similarly, Artificial Intelligence (AI) and Machine learning have been embraced leading to different technological advancements such as robotic process automation, more personalized learning, improved student engagement, enhance communication link between students and teachers, and developing less bias grading systems. Artificial Intelligence is the simulation of human intelligence with computers improving performance and efficiency and Machine Learning is a subset of AI concerned with teaching machines learn previous data to make intelligent decisions.

A lot has been done to make the learning system more simplified and comprehensive but it has a lot of unforeseen potential that hasn’t been accessed but must be employed in the nearest future. These technological trends have been said to grow by approximately 47.5% from 2017 to 2022 in just the United States according to the Artificial Intelligence Market in the US Education Sector, making us wonder when we put in consideration to the world at large. Today, many students have access to educational materials without having to attend the classroom physically only with their laptops, phones or tablets and an internet connection, thanks to the many educational platforms on the web.The advantages from their implementation in our world today include:

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1. Customized and Personalized learning:

This is helping educators understand how topics are best understood by the students, giving them the best methods with working with every students to ensure no one is left behind. It allows the individual monitoring of every student on a personal level and evaluate their learning process to help them in areas where they may be lacking also providing additional learning patterns which is different to the traditional educational method where the focus on the entire class as everyone is taught in the same way and expected to understand the same.

2. Grading:

The amount of work and time needed to grade students work has greatly reduced, also improving the efficiency and accountability of the grading system as it is inevitable that a teacher isn’t bias when marking students work. The systems will essentially offer grades based on student’s performance as well as areas in which they need to improve on to help them achieve optimal grades. Although the system has proven efficient it is still lacking as it is yet to detect cheating or infractions among examination result scripts.

3. Simplification of Administrative tasks:

The automation of administrative duties for teachers and institutions will help simplify the task for teachers. Many educators spend a lot of time grading tests, accessing assignment and providing response to every student meanwhile they have been automated so that teachers rather spend long hours with their students and evaluating more ways they can help the students. It is allowing automation of classification and processing of paperwork used by mostly admission teams.

4. Content Analytics:

The use of machines to analyze content or information used by the teachers whether its quality meets the applicable standards as different schools do not use a unified standard of assessment. The machines may also be used to determine the content being taught as compared to the intellectual ability of each student since the goal is meeting individual needs, enhanced learning progress and improved understanding.

5. Career Paths:

Many students have chosen the wrong career path because they were picked by their parents, or inexperience of the student to know all of their strength and weaknesses to determine courses they will flourish in. Platforms are used to collect student’s information from their application forms, essays, assignments, tests, examinations and recommendations from teachers to determine what careers they are most likely to excel in. The technology also predicts what areas students may have trouble in and offer assistance on topics, learning techniques in the form of tutoring or workshops to help them achieve their goals. This will help every student maximize their potential in areas where they are most grounded in, also covering up their weaknesses so as to build them into better professionals in the future.

6. Appointments:

It has always not been easy setting up meetings between students and teachers so technologies are making it easier to schedule appointments. The machines have automated the processes of scheduling meeting removing all the logistics issue associated with such meetings. These systems allow the students to choose any particular date and time for an appointment and the algorithms put in place ensures the teacher is notified and removes the time frame as allocated time so there is no clash of appointment for a single person.

7. Smart Classroom and Content Revolution:

This involves the use of smart technology such as virtual content like specialized software, audience response technology, networking devices, assistive listening devices and audio/visual capabilities. This provides student with more planning, technical, and operational support as compared to the traditional method of education. This also equips the lecturer with more tools to aid and enhance the delivery and efficiency of a course. It makes use of the traditional syllabuses to create customized textbook alongside tools for all courses and new interfaces to help students of all grades and ages.

8. Support Outside of the classroom:

It is often said “there is a difference between schooling and learning”, which means outside of the four walls of an academic institution a person can still be taught. Students can be assisted with tools for test preparations, assignments and other courses taught outside of the classroom to equip them with other things they may be interested in. A student of Computer Science may be interested in making donuts which will not be taught in the classroom for the program he/she is taking, there are various other learning platforms which could assist such student.

Conclusion

The use of Artificial Intelligence and Machine Learning as tools to enhance education has been more significant in its applications with an incredible potential in this sector.More sophisticated tools will still be employed as time goes on to help learners realize so much more in a fulfilling way. It shouldn’t be ignored that there is a lot of work to be done on improving these technologies but also ensuring that most of the tools be implemented in every rural and urban area so as the help every child with the best education because every child has the right to not be deprived of education.

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The influence of Information Technology on every field in our world today including the education industry cannot be underestimated.Similarly, Artificial Intelligence (AI) and Machine learning have been embraced leading to different technological advancements such as robotic process automation, more personalized learning, improved student engagement, enhance communication link between students...