AI, as an emerging disruptive technology, demands response from higher education system. AI provides higher education services more scalable in different areas.
Artificial Intelligence
In generic terms, Artificial Intelligence (AI) is the process of creating machines and programs that can easily do specific tasks independently, which were possible earlier only through human cognition. For emulating human knowledge in specific fields, technologists program algorithms and extensive rules for computers, which support AI value chain. Such systems with machine language bring out quick correlations and patterns in available vast data, which are not immediately comprehensible or intuitive to humans. Some of the recent visible applications include creating GPS systems, auto language translations, voice recognitions, face recognition, recommending books by companies like Amazon, and shaping academic trajectories for students. Some solutions provided by AI technologies are at Fig. 1.
Available AI Tools
Some of the AI tools currently being used in higher education sector for supplementing pedagogy, establishing systems, and decision-making process across stakeholders and administrative levels are as under:
Based on the objectives and higher education needs, organizational AI tools can be customized and developed for use and efficiency. The concerns like intellectual property rights, data security and content security need appropriate consideration.
Role of AI in higher education
AI, as an emerging disruptive technology, demands response from higher education system. AI provides higher education services more scalable in different areas. Some of the immediate and future applications of AI in four key areas of higher education are given below.
Forward looking vision
Higher education, as a sector, may be late to adopt AI as compared to corporate sector. Further research on AI adoption and developing requisite AI tools for different spheres of higher education is of immense importance at this stage. NITI Aayog has already rolled out a discussion paper on National Strategy for Artificial intelligence, bringing out various concerns and probabilities. For quality output, leading western institutions like MIT, Carnegie Mellon etc. have made huge investments to incorporate AI into all diversified programs through their college of computer science and institutions. Recent National Education Policy aims to provide access to highest-quality education for all learners by 2030. At the educational system level, AI can facilitate as a force multiplier to achieve this objective. At the level of individual institutions, and among existing more than 50,000 higher education institutions in India, pioneer institutions and early adopters of AI techniques can provide high quality value outputs in their respective field, in addition to reaping financial benefits for their institutional growth.
References:
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