We’re in 2020 and long past the days back when we used to stand outside the school library to get the opportunity to copy two or three Encyclopedia pages, to use as a kind of reference for our school projects.
With this age having grown up with the benefit of access to technology at their fingertips, the field of education has hugely changed and overturned in this digitally driven world. Artificial Intelligence in the education market was worth US$2.022 billion for the year 2019.
The worldwide AI in the education market is anticipated to be valued at USD 3.68 billion by 2023, at a CAGR of 47% during the forecast period of 2018 till 2023. Artificial intelligence has already infiltrated our lives on an individual level. By 2030, India will have the biggest number of youngsters in the globe, a size which will be a shelter in particular if these youngsters are sufficiently skilled to join the workforce. The recently launched SDG Index 2019-2020 by Niti Aayog appointed a composite score of 58 to India under the SDG on Quality Education, with just 12 states/UTs having a score of more than 64.
The current government consumption on education is under 3% of the GDP and the pupil-teacher ratio for primary school remains at 24:1, lower than that of Brazil and China. Further, with the quickly expanding population and decreasing assets, it would not be conceivable to match the demand for teachers.
As per a study by creative strategies, Around 97% of smartphone users are utilizing AI-driven voice assistants like Siri and the Google Assistant.
Artificial intelligence significantly utilizes deep learning, machine learning, and advanced analytics particularly for checking the learning cycle of the student, for example, the marks acquired and speed of a specific individual among others. Likewise, these solutions offer a personalized learning experience and top-notch training and cause the students to upgrade prior knowledge and learning. Let’s look at some of the ways AI is changing the education sector.
One more AI segment being productively utilized by educators in learning is voice assistants. These incorporate Amazon’s Alexa, Apple Siri, Microsoft Cortana, and so on. These voice assistants permit the students to converse with educational materials without the inclusion of the educator. They can be utilized in home and non-educational environments for encouraging communication with educational material or to get to any additional learning help.
The point behind these voice assistants is to gracefully respond to all normal questions regarding campus needs as well as for it to be modified for the specific timetable and courses of each student. This aids in lessening the prerequisite for internal support and chops down the cost of printing school handbooks which are only temporarily utilized.
The work of these voice assistant systems breaks the dreariness and gets an energizing prospect for the students. The deployment of this technology is anticipated to rise in the coming years.
Mundane and support tasks of the teacher – participation and other regulatory tasks can be taken over by AI. For instance, biometric validation for the students can be presented and incorporated with UDISE+ (Unified District Information System for Education) – an application that is one of the biggest Management Information Systems on School Education.
The biometric attendance records could likewise be utilized as a proxy for comprehensiveness of the education in the district/state/block and can be handily tracked. This also helps to screen the national indicators, for example, the participation rate of youth and adults and the extent of male-female enrolled in higher education, technical and vocational education. Further, it can help evaluate the quality of education in the school.
Artificial Intelligence is being utilized for personalizing learning for every student. With the work of the hyper-personalization idea which is empowered through machine learning, the AI innovation is consolidated to plan a customized learning profile for every individual students and to tailor-make their training materials, thinking about the method of learning favored by the student, the student’s capacity and experience on an individual basis.
Different AI-fueled applications and frameworks help the students in getting instant and customized responses as well as in getting their questions cleared from their educators. Artificial intelligence is additionally playing a role in augmenting tutoring and designing personal conversational, education assistants who can offer them help in education.
With Draft National Education Policy 2019 prioritizing online learning in its plan, machine learning techniques, for example, Natural Language Processing could be utilized for automated grading of assessments for a huge scale on platforms, for example, DIKSHA, E-PATHSHALA and SWAYAM (Study Webs of Active Learning for Young Aspiring Minds) – objective questions and subjective ones. Automated creation of content is another field where AI can intercede – given enormous sources of data on the web, NLP methods will have the option to utilize Automatic Text Summarization to make crisp substance and distribute them on these e-learning sites.
The standard unified curriculum made by ML-based techniques will be in accordance with the broadly characterized learning results (MHRD has planned a 70 markers-based matrix called Performance Grading Index (PGI) to level the states and UTs) and will impartially help assess pointers on the level of students accomplishing at least a minimum proficiency level.
We can expect Artificial Intelligence and ML to possess an integral place in all educational experiences. Artificial intelligence has begun to demonstrate its favorable circumstances and power in a wide range of educational areas, and it is not yet clear how the innovation will enable and upgrade overall learning outcomes for all.
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