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Focus areas for AI intervention in India - Part 2
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This lesson covers: Focus areas for AI intervention in India - Part 2

Roman Saini is teaching live on Unacademy Plus

Roman Saini
Part of a great founding team at Unacademy with Gaurav, Hemesh. Movies, Guitar, Books, Teaching.

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  1. Artificial Intelligence Lesson-5 Presented By: Roman Saini

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  4. In This Lesson Artificial Intelligence Focus areas for Al intervention In India (Cont'd))

  5. Artificial Intelligence (Al) Education In India, the importance of a developed education sector is amplified by a large youth population . Estimates indicate that currently over half the population of the country is below the age of 25. . As the adoption of digital means of gathering data increases, it is important that these methods are effectively leveraged to deliver improved education and teaching. The adoption of technology in education is improving, though not at the pace required. .

  6. Artificial Intelligence (Al) It is estimated that schools globally spent nearly USD160 billion on education technology, or 'EdTech", in 2016, and forecast spending to grow 17% annually through 2020. .Private investment in educational technology, broadly defined as the use of computers or other technology to enhance teaching, grew 32% annually from 2011 through 2015, rising to USD4.5 billion globally. Adoption of new technologies is still lacking, however, often attributed to unwillingness of teachers and students to adopt technology. . School education in India has seen substantial progress in recent decades, with efforts at both the Central and State levels, and substantive gains in enrolment have been achieved-Gross Enrolment Ratio (GER) is 97% at elementary level and 80% at secondary level, as per recent figures.

  7. Artificial Intelligence (AI) However, low retention rates and poor learning outcomes mar the impact of gains in enrolment. .Al has the potential to bring about changes in the sector by supplementing pedagogy and establishing systems to inform and support decision making across stakeholders and administrative levels However, implementation of Al must be preceded by efforts to digitise records of teacher performance, student performance, and curriculum

  8. Artificial Intelligence (Al) Several Al tools are being successfully used in other parts of the world, and they can be adapted to the Indian context to target specific challenges. Adaptive learning tools for customised learning: While Al may not completely replace a teacher, it has the potential to greatly assist teachers in efficiently and effectively managing multi-level / multigrade classrooms, by judging learning levels of individual students, and allowing automated development of customised educational content adapted to each child's class and learning level Intelligent and interactive tutoring systems: Intelligent Tutoring Systems can provide great benefit to students through delivery of learning materials adapted to the child's proficiency level, learning style, and pace of learning.

  9. Artificial Intelligence (Al) Automated rationalisation of teachers: Al tools can be used to develop automated teacher posting and transfer systems, using analytics based on demand supply gaps across schools in the State, candidate's prior postings, candidate preferences, etc. . This would help in plugging of gaps in teacher distribution more effectively Customised professional development courses: To tackle issues of poorly designed professional development courses with poor coverage, adaptive Al tools can be used to design automated, customised professional development training content for the teacher based on their performance, identification of their knowledge and skill gaps. This could then be continuously adapted as teacher's skills and concepts improve. .

  10. Artificial Intelligence (Al) Developments and Research Content Technologies Inc. (CTI), an Al research and development company, develops Al that creates customised educational content. Using deep learning to absorb and analyse existing course materials, textbooks, and course curriculum, the technology creates custom learning materials, including textbooks, chapter summaries, and multiple-choice tests. .A recent hackathon conducted by NITI Aayog also featured 'ReadEx', an android application that does real-time question generation using NLP, content recommendations, and flashcard creation The Andhra Pradesh Government has tied up with Microsoft to bring down the school dropout rate in the state. .

  11. Artificial Intelligence (Al) Smart Cities and Infrastructure India is currently in the midst of a surge of urbanisation. While the percentage of the population living in urban areas was estimated to be 31% in 2011, recent research on satellite data indicates that this figure is close 45% today, and predicted to rise to up-to 60 percent by 2050. . Though seen as an important aspect of a country's economic growth and a major step in the overall development of the country, unplanned urbanisation presents challenges such as congestion, over pollution, high crime rates and poor living standards . All these can potentially put a huge burden on the infrastructure and administrative needs of existing Indian cities

  12. Artificial Intelligence (Al) .Al driven service delivery: Implementation of Al to leverage data on service delivery could see application such as predictive service delivery on the basis of citizen data, rationalisation of administrative personnel on the basis of predicted service demand and migration trend analysis, and Al based grievance redressal through chat-bots. Crowd management: Use of Al in providing effective solutions in crowd management in recent times have been in vogue and given fruitful results in averting city-scale challenges such as managing mega footfall events, emergency and disaster .Intelligent safety systems: Al technology could provide safety through smart command centres with sophisticated surveillance systems that could keep checks on people's movement, potential crime incidents, and general security of the residents