According to a Bloomberg analysis, the market for machine learning was valued at US$ 6.9 billion in 2018 and is expected to expand at a CAGR of more than 43% from 2019 to 2025. In contrast, ML has also become one of the job fields with the quickest growth rates, with an annual growth rate of 300% and unheard-of levels of popularity among young professionals. The development and spread of machine learning are directly related to the global trend of increased digitization, particularly in the field of education.
The education sector has been forced to accelerate the deployment of technology in delivery, particularly during and after the epidemic. With the technology enabling delivery, evaluation, and improved learner retention, AI and ML applications have found their way into changing the education and EdTech industries. India is one of the world’s largest markets for e-learning solutions after the United States.
Learning in schools and other settings is changing as a result of how computers learn on their own. It is anticipated that Machine Learning (ML) will continue to make enormous advancements in the field of education in India through 2023 and beyond.
Let us examine some of the trends that will likely continue into the future in this industry:
One of the leading edge applications of ML in education is personalization of learning. Personalized learning is becoming more popular in Indian schools and colleges, and it is being pushed by AI and ML. By examining patterns and behaviors, ML helps educators adapt lessons to the needs of various students. ML also examines the success of various initiatives.
The creation of AI-powered learning tools is another new trend in education that is being driven by ML & AI. The uproar caused by ChatGPT, and other AI-powered platforms is giving way to interest in how these tools will aid learning, whether it is coding, writing more effectively, coming up with new ideas, and more. Such platforms produce precise responses to questions given because they have access to enormous quantities of data and have extremely quick processing speeds. Although some may contend that humans cannot retrieve information as quickly or efficiently as supercomputers, this is not the goal of these technologies. With the arrival of such instruments, learning methodology undergoes a fundamental change. Next, the focus shifts to what learning outcomes we seek and how technology may support those results.
There are hundreds of unauthorized languages and dialects spoken throughout India in addition to the sixteen official languages. One of the largest difficulties in the field of public works is frequently effective communication. NLP and other AI & ML tools and technologies play a vital role in assisting individuals in learning languages and enhancing communication and collaboration across geographies for effective reach and increased access to information. Language learning can be made easier and more available to a wider audience with the help of ML.
The human perspective is frequently entrenched in individual preconceptions and biases when it comes to assessment and evaluation in learning. In such cases, the objective viewpoint is lost, turning evaluations become a tool to prevent rather than promote. The introduction of ML dramatically changes the game in these assessment and evaluation sectors. With the recognition of the learner’s areas for development and current strengths, the same assessments then turn into a roadmap for advancement.
In general, it is anticipated that the usage of ML in education in India would keep expanding in 2023, with more educators and institutions embracing these technologies to enhance the learning environment for students.
