Effectiveness of Digital India and Artificial Intelligence in Indian Education System
Although its current applications are limited, proponents of AI and machine learning offer significant potential for improving the field of education. Decision-making and classification are at the heart of AI applications. Despite the fact that the current learning management systems are user-friend...
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| Veröffentlicht in: | NeuroQuantology 2022-01, Vol.20 (10), p.5312 |
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| creator | Sheetlani, Jitendra Jadimath, Shilpa Shivanand |
| description | Although its current applications are limited, proponents of AI and machine learning offer significant potential for improving the field of education. Decision-making and classification are at the heart of AI applications. Despite the fact that the current learning management systems are user-friendly, they lack the adaptive self-learning power that serves as the foundation of artificial intelligence. In order to be really artificially intelligent, a system must be dynamic and able to continually update itself through interactions with learners and dynamic resources in its surroundings. Even though this self-improving adaptive instructional system would represent the height of AI's potential in the classroom, educational technology (Edtech) companies have made some minor strides in the direction of this goal. |
| doi_str_mv | 10.14704/nq.2022.20.10.NQ55510 |
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| ispartof | NeuroQuantology, 2022-01, Vol.20 (10), p.5312 |
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| subjects | Adaptive systems Artificial intelligence Distance learning Education Educational technology Machine learning Students |
| title | Effectiveness of Digital India and Artificial Intelligence in Indian Education System |
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