Machine learning in education is poised to enhance the classroom experience for every learner. Know how ML can potentially transform the whole education system.
When it comes to the educational landscape in the modern era, the entire industry has undergone a drastic transformation. The remarkable next-gen technologies like Machine Learning and Artificial Intelligence have portrayed their true potential in almost every industry verticals globally, especially in the education sector.
In fact, as per a recent report, the global machine learning market is expected to expand at 42.08% CAGR during 2018-2024. Again, the value of the global machine learning market was $8 billion in 2019 and is predicted to reach USD 117 billion by the end of 2027 at a CAGR of 39%.
Machine learning in the education sector is acting as the driving force and have added value as never before. The cutting-edge technologies are transforming education and fundamentally transforming teaching, learning, and research. Educators are increasingly using ML to spot struggling students in time thereby taking necessary action to improve success and retention. ML is increasing the reach and impact of online learning content through localization, text-to-speech, transcription, and personalization.
You ask “How does ML play a pivotal role in the education sector? What are the benefits of using machine learning in online education?” To know the answers to all of these vital queries, let’s dig deeper into what machine learning truly is and how its vast application in education can boost both education by bringing tremendous benefits to the classroom.
The Use of Machine Learning In The Education Sector
Machine learning and education revolve around the same concept- learning. Take a look at how this fundamental principle is being applied to revolutionize the education industry-
- Adaptive Learning
According to a large-scale study of AACE EdMedia 2016-17 conference, students’ math ability improved by 12.4 on average per concept for an average of 5 minutes in an adaptive and personalized learning powered environment.
Adaptive learning demonstrates the learning style where learners receive personalized learning experiences that address the unique needs of individual learners. This implies that the educational methods are tailored according to the needs and abilities of students, rather than all being put in one basket. The system will immediately recognize if the student is struggling with the material or perhaps it’s too easier for him/her. Both kinds of adjustments can be made at an early stage to avoid performance issues.
Furthermore, it can also help in detecting more minor details in class, like outdated curriculum or uneven distribution of teacher’s attention.
- Enhancing Efficiency
Machine learning can help both educational platforms and educators by almost completely automating numerous repetitive and data-heavy yet time-sensitive tasks, like scheduling assignments and class management. This offer teacher more opportunities to redirect their efforts into crucial tasks that require human attention.
As machine learning makes education easier for both educators and students, it improves the involvement and their interest in learning and participation. Needless to say, it improves the efficiency of the education system.
- Learning Analytics
Often educators face difficulties in getting the hang of the learning materials. The ML-powered learning analytics can help these educators gain a deep insight into the data and help them develop a remarkable understanding of the data. If the words of the top programming homework help stalwarts are anything to go by, then the instructors shift through multiple content pieces, analyze them, and make conclusions. This helps them in improving the overall teaching and learning process.
Furthermore, learning analytics also suggests the accurate learning path an individual learner must take.
- Personalized Learning
The global personalized learning market is predicted to surpass $2 billion by 2024, developing at an estimated rate of around 29% from 2018 to 2024. Personalized learning remains to be one of the best and most valuable practices of using machine learning in the education sector at the moment.
With the aid of ML, it has become now possible to offer a customizable education model where students can guide their learning. They can also choose the learning pace at which they learn the best. In simpler words, students are now able to experience a learning environment that suits their needs and preferences.
The Benefits Of Machine Learning In Education
- Improved Course Efficiency via Predictive Analytics
The immense boon of machine learning in education is its capability to track the progress of the learners and adjust courses to meet the needs of students, thereby increasing engagement and delivering high-quality training. Feedback from ML algorithms enables instructors to comprehend the learner’s potential and interest, determine the students struggling, spot skill gaps and offer extra support to help students overcome specific learning challenges.
- Advanced Assessment and Grading
Often, students tend to complain about human biases in assessments. Educators also require more precise and fairer grading systems. Automated test scoring has been around for some time but including machine learning in education will enable smart assessments that evaluate multiple assignments instantly. The innovative grading tools of ML ensure accurate measurement of the academic abilities of students and eliminate the chances of human error.
- Boosts The Motivation of The Learners
Machine learning can help you avoid going through the dull and redundant parts of a program effectively. Its algorithms monitoring the learner’s progress can refine the curriculum and provide tailored content that resonates well with the students. By offering learners exactly what they require to accomplish their learning goals, ML platforms enable them to quickly fill knowledge gaps and develop crucial skills.
The individualized experience can also motivate students to pursue a course, while the use of chatbots and gamification can boost their engagement and retention rates significantly.
Final Words
In 2021, machine learning in education gathers momentum to fully blossom in the upcoming years. You do not have to be a prophet to realize that the algorithms will only become sharper, quicker and more advanced.
These are intriguing times for the world of eLearning. The massive implementation of machine learning in education is rapidly transforming online classroom experiences and becoming one of the most competitive features of any course. Place and time no longer matter. Now is the perfect time for you to explore and deliver customized content along with personal guidance, thereby making your learning experience worthwhile for your learners.
