India is going through the phase of demographic dividend with its maximum population as working population. To realise this goal, India needs to increase the contribution of GDP to education, which is currently only 3% of GDP, and overcome challenges. Challenges in online learning: 1.Lack of InfrastRead more
India is going through the phase of demographic dividend with its maximum population as working population. To realise this goal, India needs to increase the contribution of GDP to education, which is currently only 3% of GDP, and overcome challenges.
Challenges in online learning:
1.Lack of Infrastructure:
Lack of optical fiber connectivity due to various implementation and design issues (Bharat Net Project). Lack of power in various regions, especially hilly regions.
2.Digital divide:
According to the household social consumption and education in India report, nearly 4% of rural households and 23% of urban households possessed computers. Among persons of age group 15-29 years, only 24% in rural areas and 56% in urban areas were able to operate a computer.
3.Climate Change:
Drought prone areas are becoming flood-prone in 27% of India’s districts, leading to loss of lives and connectivity, which increases disparity in education.
4.Psychological issues:
Due to increase in screen time, online content, fake narratives, and an and an increase in ADHD, they have a direct impact on child mental health and well-being.
5.Evaluation Framework:
Online learning doesn’t lead to adequate monitoring and evaluation of child progress, which is very crucial in primary education.
6.Reducing learning outcomes:
Due to communication barriers between students and teachers, distractions, and a lack of trained teachers (how to operate digital features), reducing learning outcomes, which impact the child’s learning process.
7.Policy Issues:
Lack of policy coherence, inter-ministry coordination, and social audit led to delays in evaluating and framing good policies driven by inclusivity and effectivity.
Way Forward –
1.Improving Infrastructure:
Addressing connectivity issues through adoption of harmonised cables. Improving implementation framework, especially in hilly areas.
2.Bridging the digital divide: Implementing schemes through SHG’s. Adoption of community learning centers to create awareness and teach children regularly. SWAYAM Prabha TV channels, DIKSHA scheme is in that direction.
3.Parental Responsibility:
We need to hold training sessions for parents to adopt and use technology as children learn values at home, and home can also become an education center. To train children to do meditation and yoga practices for overall development.
4.Monitoring and Evaluation Framework: There should be one assessment system for evaluation of child progress in online learning for holistic development of children. PARAKH initiative is in that direction.
5.Policy:
Every policy should be monitored and evaluated to improve its efficiency; there should be policy
coherence, collection of quality data for evidence-based decision-making, multi-stakeholder coordination due to overlapping issues.
6.Emerging Risk:
There is no record of child migration due to climate change, which impacted learning outcomes.
7.Teachers Training:
Adequate training of teachers will pave a way for creative future generations. NIPUN initiative is in that direction.
There is a need to combine older ways of teaching learning with newer ways of reaching learning to achieve time-bound, growth-oriented, outcome-focused results and achieve SDG 4 by 2030.
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The future of artificial intelligence is immense and vast. It might be very important in many places and create many opportunities for jobs in future: 1.Advanced automation robotics: Artificial intelligence will further drive mechanical automation, not only in the manufacturing sectors but also in hRead more
The future of artificial intelligence is immense and vast. It might be very important in many places and create many opportunities for jobs in future:
1.Advanced automation robotics: Artificial intelligence will further drive mechanical automation, not only in the manufacturing sectors but also in healthcare customer service, and logistics. This increased level of autonomy will enable robots to undertake progressively complex tasks, like surgery administration, caregiving, and hazardous environment exploration.
2.Health Care Revolution: Another important area where AI is going to make a difference is health care, for a better diagnosis of the patient, which automatically leads to an apt treatment and obviously a quality patient care. Diseases will be tracked faster by predictive analytics and doctors would do better diagnoses with the help of medical AI. Eventually, personalized medicine will dominate the scene as drugs are developed to target specific genetic profiles of individuals.
3.First-Place Winner: Ethics and Governance of Artificial Intelligence AI systems are more central to society than ever, and the requirements placed on ethical considerations are more significant than ever. The video below will cover some of the most important and pressing issues, such as bias, fairness, transparency, and accountability, with more robust frameworks for the ethical deployment of AI.
4.Augmented Decision-Making: AI will assist human decision-making by mining large data and provide insights. The AI tools will supplement the human mind only in domains like finance, law, business strategy, allowing experts to make better decisions that are more learned and speedy.
5.AI & Creativity: AI will bend artistic outcomes and projects across art, music, and writing. There will be more AI-generated experiences with complementary tools bound to stretch human imagination in their own right.
6.Robotic vehicle: Research in the field of self-driving cars, drones, and other robotic vehicles will be further continued. These technologies will change the way transport and logistics work today into more efficient, safe, and open ones.
7.Climate Change and Environmental Sustainability: The huge impact of AI on matters that range from fighting climate change for sustainability is unabridged. These models are run by AI in a manner that the environmental changes can be foreseen, including energy to its use and resource management more effectively.
8.AI for Space Exploration: This technology will enhance the capabilities of spacecraft and rovers in jumping into planets. Autonomous systems are among the most promising technologies that can help humans navigate and explore space, which has resulted in more discoveries and development for our understanding of what is beyond.
If this trend continues, then probably the next phase of AI will be one in which it stops being an entirely separate technology sector and becomes large enough to influence every other industry. It will need conscience consideration to ethical, social, and legal implications for offering its benefits in a responsible and just approach on the other side.
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